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9,876 | https://devpost.com/software/electrishare | Our product is a virtual map on our website. It contains the locations of different EV chargers owned by users of the site in addition to public charging stations that are already established. Users can then use the chargers for a given amount of time to charge their car. Our product works by searching through our user created database of chargers and displaying the ones nearest to the user’s location by zip code or city. Each user will first create an account on our website, and they will also have the option to register their home EV charger into our database. Then, users will be able to see the charger types, prices, and ratings of charging stations around them to decide when and where they want to schedule a time to use a charger; scheduling will only apply to user-provided chargers not public ones. The pricing of using a user-provided charger will then be determined by our algorithm that accounts for the time spent charging, the power output of the charger, and the additional electric bill ($/kWh) the provider has to pay. In fact, this can be a form of passive income for the provider since the price the person using a user-provided charger will pay a 20% fee, encouraging users to register their charger with us. The provider will then take 85% of the 20% fee, and our company will receive the remaining 15% of the 20% fee.
Many of our team members have extensive coding experience whether it be in website development or JavaScript and Python. We are uniquely qualified to build this product because all of our team members are very dedicated to this project on environmental sustainability through encouraging the use of EVs and making chargers more convenient and accessible to all. Not only have all of our team members taken AP Computer Science A at high school, but we’ve also worked on different independent projects in topics varying from machine learning to robotics and circuitry. We would love to have the opportunity to be able to further develop our idea and make it a reality.
Built With
django
html
python
Try it out
github.com | ElectriShare | A convenient, comprehensive map for you to locate electric vehicle chargers near you. | ['Shayan Azmoodeh', 'Adi Gudi', 'Jolene Lee', 'Harsh Duvvuru'] | [] | ['django', 'html', 'python'] | 0 |
9,876 | https://devpost.com/software/hackthehelyxhackathon | I went through some brainstorming and got a lot of great ideas. I made a whole website out of this. It functions well, my full ideas are feasible to make, realistic, has impact on both individuals and businesses so lots of people, and this has never been made before. The website actually works and you can click on the second link to see it. It is feasible because I can use a variety of concepts to make news feeds and simulations. Essential websites like these make the world better and change the world a lot. It's new and unique and solves environmental sustainability. I made the CSS have good colors so it's visually appealing. Many people will love the design of the website. I didn't have anyone else to work with so the whole thing was done individually. I will code all the parts of the website and constantly improve on it. I hope you love it just as much as countless others! Thank you so much for your time!
Built With
css
html
javascript
Try it out
github.com
pateljal.github.io | Sneh | Website on solutions to Environmental Sustainability problems | ['Jalen Patel'] | [] | ['css', 'html', 'javascript'] | 1 |
9,876 | https://devpost.com/software/feelbetter | Inspiration
Mental health problems in young people have been following an upward trend over the last decade, which can cause long-term problems and unhealthy tendencies. In some cases, it can even cause self harm and suicide.
As members of Generation Z, some of us are far too familiar with mental health issues, and we would like to use technology to help solve the problem.
What it does
Journaling and Gaining a better understanding of the self; two proven tactics to a better mental health.
Our web application allows people to track their mental state in a calm journal-like environment, while using machine learning to find patterns in the fluctuations of their emotions to help them better understand themselves, and, well… Get Better.
The Get Better website prompts people to record their emotions daily, with a “Dear journal,” format. They also record the time, the date, and special events that occurred that day.
This entry is analyzed using sentimental analysis, a type of machine learning, to find the person’s specific mood at the time of the entry. Get Better then compares the entry with others to predict and inform the user of trends in their mood.
How we built it
HTML with CSS to create the website. The text analysis was created using NLTK and SkLearn.
Challenges we ran into
HTML and CSS were new to us so understanding the formatting and conventions of a new language were a main road block we had to overcome. In addition, doing the sentimental analysis, and then combining the Python with the HTML.
What we learned
We learned…
HTML
CSS
NLTK
Machine Learning through Python
Sklearn
What's next for GetBetter
A couple of our next steps would include
Graphs to visualize mood trends
Calendar integration to remind user of daily entry
Optimization of sentimental analysis and algorithm
Try it out
github.com
docs.google.com | GetBetter | Mental Health | ['Shreya C', 'Sarah Xie', 'Tanmay Marwah'] | [] | [] | 2 |
9,876 | https://devpost.com/software/disaster-tracker-hacker | Inspiration
Every year, natural disasters kill around 90,000 people and affect 160 million people worldwide. There has been a general upward trend in natural disaster occurrences since 1980, most likely due to the worsening of climate change. With recent developments in machine learning and enormous amounts of natural disaster datasets, AI has immense capabilities in predicting the occurrence of numerous natural disasters, which can potentially save thousands of lives. There is currently no natural disaster predictor for the generalized public to easily access and use; thus, this project strives to use machine learning techniques to identify correlations in historical data of three major natural disasters to calculate the risk based on user input.
Project
In this project, the three major natural disasters detected are earthquakes, forest fires, and hurricanes. By collecting user data of location and date when the user accesses the website, the Random Forest Regression model produces a depth and magnitude prediction of upcoming earthquakes. The user can also see information about previous natural disasters, such as their locations, dates, and severity, to see if they are in a historical region of natural disaster occurrences. The web interface uses Google Maps API to provide easy usage and improved functionalities.
Future Directions
Although this project was able to apply an easy to use application combined with machine learning models, there are many further steps for improvement. One future step is to use the earthquake prediction machine learning model and apply is similarly to forest fires and hurricanes by training on their respective datasets. A linear regression model was also constructed for drought predictions as well, which can be implemented with the web interface and Google API for the future. In addition, more natural disasters can be easily integrated with the existing framework and models, in order to account for a greater range of natural disaster predictions.
Built With
amazon-web-services
bootstrap
django
google-maps
heroku
numpy
pandas
python
scikit-learn
Try it out
disastertrackerhacker.herokuapp.com
github.com | Disaster Tracker Hacker | A web-based natural disaster prediction model, showing customized predictions based on location and date, pinpointed on a dynamic interactive map. | ['Alice Yeh', 'Ellen Xu', 'Eric Song', 'Calix Huang'] | [] | ['amazon-web-services', 'bootstrap', 'django', 'google-maps', 'heroku', 'numpy', 'pandas', 'python', 'scikit-learn'] | 3 |
9,876 | https://devpost.com/software/gain-the-grain | Custom Logo
The Account tab gives you the option to either create an account by signing up or log in if you already have an account.
The Get Groceries Tab allows receivers to add groceries with an approximate cost to their list.
A gentle reminder to all our web users to follow CDC guidelines.
The Log In Tab includes an aesthetic form with input validation and obfuscation.
The Sign Up Tab includes an aesthetic form with input validation and obfuscation.
The Account Tab displays the user's grocery list, address and whether they have been paired up with a grocer.
The Grocer Options displays to the grocer the possible receivers and their grocery lists in their area.
Inspiration
'Gain the Grain'
drew inspiration from the kind, brave delivery workers during the 2020 COVID-19 epidemic - ordinary people who risk their lives to make grocery runs for their vulnerable neighbors (ex. senior citizens, pregnant women, young children, individuals with respiratory illnesses) in locations where grocery stores typically do not offer delivery.
What it does
Currently, no formalized system exists to connect these delivery workers with receivers. Our website connects
grocers
(people willing to purchase groceries) to
receivers
(people in need of groceries). Receivers can easily make an account to add groceries to their list, select nearby registered grocers to pick up the supplies they need, and view their account status (whether they have been connected with a grocer, grocery arrival time, etc.). Similarly, ordinary people can volunteer as delivery workers once they register with our platform, browse receivers and select at-risk receivers in their community.
How we built it
We built the web application from scratch on ‘Glitch’ via Express. We utilized HTML handlebars (hbs) and CSS to render the various web pages, NeDB as our storage database, as well as server-side and client-side javascript. Our website features input validation (preventing empty or invalid input), our own custom logo and concealed passwords.
Challenges we ran into
One challenge included that only Srilakshmi was an experienced web-developer, while Khushmeet, Stuti, and Mitali had to learn on the job and develop their skills from the beginner-level. Another challenge included a few issues with Glitch - some developers were locked out of the platform for an extended period of time and a few files would not be updated immediately even after editing. We, often, had to rely on self-learning to incorporate features such as the concealed passwords and input validation.
Accomplishments that we're proud of
We are mainly proud of how far we’ve come in just 3 days of coding. For most of us, web development was completely new, so building a functioning website was an exciting and rewarding experience that diversified our programming skills.
What we learned
Khushmeet learned how to style and design websites to make them visually appealing with CSS. Mitali and Stuti both learned much about handlebars, middleware, server-side and client-side Javascript. Srilakshmi expanded upon the above mentioned skills as well as Ajax/JQuery and cookies on the new Glitch platform and learned how to use a new type of database, NeDB.
What's next for Gain the Grain
We hope to include a feature in which the receivers are able to compensate the delivery workers, many of whom may be unemployed (about 1 in 5 Americans are now unemployed) due to the epidemic. Improving grocer-receiver communication, like implement a chat feature, would streamline the grain-gaining process. We also plan on also launching an partnership with grocery stores, since many grocery stores, specifically during the epidemic, limit the amount of food that each customer can buy. If we had a partnership with these grocery stores, we might be able to grant exceptions for the delivery workers who buy extra food not for themselves, but for others in need. Additionally, in order to update our styling/organization, we hope to use BootStrap in the future.
Hack the Helyx Hackathon
Thanks to all those at the
Hack the Helyx Hackathon
for initiating this event!
Built With
ajax
css3
express.js
glitch
hbs
html5
javascript
jquery
nedb
node.js
Try it out
gain-the-grain2.glitch.me
github.com | Gain the Grain | Connect delivery workers to grocery customers during COVID-19 | ['Mitali Gandhe', 'Srilakshmi Medarametla', 'Stuti Gupta', 'Khushmeet Chandi'] | [] | ['ajax', 'css3', 'express.js', 'glitch', 'hbs', 'html5', 'javascript', 'jquery', 'nedb', 'node.js'] | 4 |
9,876 | https://devpost.com/software/carbon-tracker-clhsv0 | Inspiration
We wanted a quick and easy way of tracking carbon emissions to be able to calculate our carbon footprint.
What it does
Currently, it gives you a result of how much CO2 has been emitted for a number of miles traveled for a certain number of cars in our array.
How we built it
It was built using the online community, Glitch.com.
Challenges we ran into
Initially, we were trying to include location tracking with this version of the website, but due to time constraints and issues we faced, we were not able to include it in our final submission.
Accomplishments that we're proud of
We are happy that our array has at least around 100 cars currently. As we expand, it will continue to grow with data and other things.
What we learned
Location tracking is no joke. It is complex, especially when trying to do it in real-time. Although as we have some experience with it right now, in future versions, we'll do our best to implement it.
What's next for Car Carbon Tracker
We are planning on using databases to store car data from thousands of cars. Afterward, we will try to use a location track option, where the user will define a start/stop and then the website will calculate a distance and the other calculations based on it. Finally, a real-time location tracking feature may also be implemented so that the user only has to worry about opening the website. In the future, we might introduce accounts and friends, where friends will be ranked with respect to the least carbon released. Eventually, it may become a donation/charity website or maybe even a phone app to be even more accessible.
Built With
css3
glitch
html5
javascript
Try it out
carbon-tracker.glitch.me
glitch.com | Carbon Tracker | A Informational Website | ['Shrey Dekate', 'Aditya Hegde'] | [] | ['css3', 'glitch', 'html5', 'javascript'] | 5 |
9,876 | https://devpost.com/software/helyx-recycling-text-adventure | Inspiration
Recycling is one way most people can try to help sustain the environment without any expensive equipment, and there are many well-meaning people who may not understand what they're throwing away is actually recyclable.
What it does
A fun game that gives people insight on what's actually recyclable and what's not. There may be some surprising facts in there as well!
How I built it
We used Python and repl.it.
Challenges I ran into
We kept getting circular imports, due to importing various files in the same files. We realized we should put more focus on the actual gameplay, instead of exploring a multi-room house.
The recycling guide worked well at the beginning and began breaking towards the end. If you search up the guide in the living room it will be fine, however, if you try to look at it while you're asked about whether an item is recyable or in the kitchen (aka Level 2), the game will throw an error and end.
Accomplishments that I'm proud of
This was our first time creating an entire text adventure from scratch, so we're proud we were able to get a working product in. We also learned quite a few surprising recycling facts in the process, and hopefully others will be able to learn them too.
What I learned
We learned about classes and objects, circular imports, and about various recycling statistics.
What's next for Helyx Recycling Text Adventure
We're planning on adding rooms and fighting a trash monster that appears if too much trash accumulates.
Built With
python
repl.it
Try it out
repl.it | Helyx Recycling Text Adventure | To recycle or not to recycle? Play this game to learn some cool recycling facts | ['Hillary Luan'] | [] | ['python', 'repl.it'] | 6 |
9,876 | https://devpost.com/software/16-bit-biodiversity-simulation | Inspiration
We wanted to create a game that showed the dependency of biodiversity on humanity, while also showing the less seen side which is the dependency of humanity on biodiversity. For example, more variety of organisms in the wild means more variety of research that can be conducted into medicine, which is demonstrated in our game.
What it does
It is a simplified simulation that shows the relationship between human civilization and biodiversity, as well as their beneficial and adverse effects on each other.
How I built it
Over the past 2 and a half days, I have been coding the game, from the math based systems that operate the game's reproduction and extinction system to the title screen's buttons. My team members, Vincent, Akhil, and Micheal, have been working on animal sprites, miscellaneous sprites, and UI design, respectively. Over 100 sprites were made, and I believe just over a thousand lines of code were written.
Challenges I ran into
There was a lot of math involved, as there were several math based systems operating at once, as all factors in the game affect each other. For example, the biodiversity of insects affects the reproduction rate of plants, which determines the efficiency of crop farms (just as having biodiversity in nature allows the introduction of new species to old gene pools).
Accomplishments that I'm proud of
I'mm proud that I was able to finish the whole system without any glitches, as there are probably ~10 systems constantly editing each other as the game plays. Also, my team members finished over ~120 game sprites in just 3 days, which is an accomplishment to be proud of as well.
What I learned
I got much more comfortable with C# and Unity's interface through this project.
What's next for 16-Bit Biodiversity Simulation
Possibly add in things like natural disaster to demonstrate how less biodiversity leads to a more sensitive ecosystem and such.
Built With
aesprite
c#
photoshop
unity
Try it out
16-bit-biodiversity.itch.io | 16-Bit Biodiversity Simulation | Humanity and biodiversity often greatly affect each other. This game demonstrates the inter dependency of these two sides and the importance of environmental sustainable technology. | ['Jerry Yao'] | [] | ['aesprite', 'c#', 'photoshop', 'unity'] | 7 |
9,876 | https://devpost.com/software/reducing-food-waste-website | Inspiration
With Corona Virus a major issue in today's society, we thought we could relate COVID-19 with an environmental problem. Because many major restaurants and businesses are closed, and people are secluded inside their homes, food waste has shot up. Farms have nothing to do with their crops, and restaurants have nothing to do with their pre-ordered food. Our plan was to link people buying food to people selling food, to reduce the amount of food waste during this crisis, and after. We would identify where they live, what they want to sell, and help them contact people in their community who wanted to purchase what the user had to offer.
What it does
Because this was our first time creating a website, not mention our first time exposed to this new code, we were not able to accomplish our goal. However, we were able to connect people with links and redirect them to a place where they are able to buy/sell their food on their own. When you click if you are buying or selling, you click submit so it redirects you to a different link.
How I built it
We built our website on repl.it, and used javascript, CSS, and HTML to design our website. We started brainstorming how we could connect users to each other, but our lack of knowledge in databases, and user storage as well, did not allow us to do that. We then wanted to help users, so we collaborated and thought we could just redirect them to a different site, and they could do it on their own.
Challenges I ran into
While trying to identify user's inputs, we had trouble storing their inputs into variables we could use later. It was also difficult trying to make the entire website aesthetically pleasing, and making major changes to it, without ruining things like the tables, dropdown boxes, and input boxes we made before. It was also hard to work fast, and frustrating to not do what we wanted to do, as we were learning about HTML and website design on the go.
Accomplishments that I'm proud of
I am extremely proud of all of us for learning these new languages and putting together a final project that we were somewhat satisfied with. Before the hackathon, I had no expectations and would've had no clue we could design an entire website on our own. I'm incredibly satisfied with all of our hard work to put together a website, and thankful for the presentations that helped get us started in our website designing process.
What I learned
We all learned new languages, and how to build a website. We will definitely be using our knowledge to make more in the future, whether it is personal websites or more user-friendly websites like the one we made this weekend.
What's next for Reducing Food Waste Website
We plan to learn more about databases and HTML, so we can eventually get users to connect to each other, and help reduce food waste. We will surely be working on this website after this, as there is an immense amount of coding knowledge we did not get to. When we expand our knowledge, we will expand our website, and help make it useable for two or more users to connect to each other.
Built With
bootstrap
css
html
javascript
repl.it
Try it out
repl.it | Reducing Food Waste Website | Helping reduce food waste by connected users to each other. | ['Ben Ivey', 'Jack I', 'Derek Jacoby', 'Joshua Friedenberg'] | [] | ['bootstrap', 'css', 'html', 'javascript', 'repl.it'] | 8 |
9,876 | https://devpost.com/software/eco-run | Inspiration
Vietnam has been very polluted due to the citizens’ poor discipline about protecting the environment.
Trash is thrown continuously throughout the city, and street cleaners could not handle such a tremendous amount of trash that is thrown on the street.
What it does
The Eco-run website is a place for teachers, school committees, and environmental organizations to create and host events. Players of the Eco-run. Game will have to come to these events, retrieve the eco-code from the organizers and enter it to the game in order to unlock new levels.
How I built it
We used Unity and C# scripting to create the games. The web is established using the help of wix.com
Challenges I ran into
Accomplishments that I'm proud of
Together as a team, we figured out ways to configure the Unity game the way we want and connect a game product on Unity with a website created by wix.
What I learned
The basics of unity and C# scripting for game development is something that we really appreciate. It gives us a more well-rounded perspective on how app development works in a project like this. Also, we cherish the fact that with wix, we can create such a fast webpage for marketing and connecting purpose.
What's next for Eco-run
The most important thing for Eco-run is to develop the graphics and functionality of the Game to a high degree so that it attracts more players.
Built With
c#
unity
wix
Try it out
hoangquanphan2906.wixsite.com
github.com | Eco-run | We want kids and teenagers to have fun while acknowledging the downgrading circumstance of the environment, and ready to take actions | ['Quân Hoàng Phan', 'Loco Đỗ', 'Hieu Hoang', 'Kiet Nguyen'] | [] | ['c#', 'unity', 'wix'] | 9 |
9,876 | https://devpost.com/software/revitacycle | Revitacycle's Logo
Inspiration
Our inspiration was to create a cleaner and more sustainable future by promoting recycling. The largest problem with recycling is people not knowing what can and can't be recycled.
What it does
Revitacycle uses Machine Learning to identify objects in images and from there it is decided whether the object is recyclable.
How I built it
The final project was built using Python Flask and deployed using Heroku.
Challenges I ran into
The largest problem we ran into was with an asynchronous function. We were originally using Node.js all the way through last night. However, after a whole day of work trying to deal with the asynchronous function, it was impossible to extract the data from the function which meant our website couldn't work. Overnight the website was transformed into Python, where the API's function wasn't asynchronous.
Accomplishments that I'm proud of
I am proud of the possibilities and potential of this project, especially if we could grow this into an app. I am also proud of the work that went into it.
What I learned
I learned a lot about recycling but also a lot about dealing with Asynchronous functions in Javascript.
What's next for Revitacycle
Developing this into an app where it will be more accessible and easier to use. The large cost of an Apple Developer account is what holds us back from pursuing this.
Built With
bootstrap
clarifai
flask
heroku
html
python
Try it out
github.com
revitacycle.herokuapp.com | Revitacycle | Using machine learning to identify if objects can be recycled. | ['Kian Chakamian', 'Max Norman', 'Manav Khanvilkar'] | [] | ['bootstrap', 'clarifai', 'flask', 'heroku', 'html', 'python'] | 10 |
9,876 | https://devpost.com/software/the-journey-of-a-co2-molecule | We wanted to make a piece of software that illustrates an environmental problem in the world.
We decided to display the most prominent cause of global warming CO2 emissions.
Our team figured it would be a fun way to make learning about climate change fun, in order to get the user to more intuitively understand the use of fossil fuels is important.
Our greatest hope is that we can make a positive impact on all of those playing our simulator and have a positive influence on the world through our code.
Built With
c#
unity
Try it out
debatedisaster2022.wixsite.com | The Journey of a CO2 Molecule | This project is an interactive educational game, showing the carbon cycle, where the user takes the role of a CO2 molecule. | ['Tiffany Ozols', 'William Fang', 'Jon Giller', 'Joshua Scripcaru'] | [] | ['c#', 'unity'] | 11 |
9,876 | https://devpost.com/software/automated-irrigation | Picture of the Micro-controller
Inspiration
Currently, according to the USDA, 80% of US water consumption is in the agricultural sector. This figure remains more or less the same all over the world and is a serious concern as water sources dwindle around the globe; a solution needs to be put in place to make water consumption in agriculture more sustainable. Therefore, we made an Arduino microcontroller that could sense the moisture levels of soil and water the plant appropriately.
What it does
It waters a field remotely based on the moisture content of the soil and records the moisture content and time in google sheets for further analysis. This data goes is served to a web app and updates automatically.
How I built it
A micro-controller is used (ESP8266 with wifi capabilities) to measure using soil moisture sensor (YL-69 and YL-38).
The soil moisture sensor has two electrodes and will conduct electricity if some level of moisture is present, if there is no moisture present the resistance will be infinite.
The resistance measured (inversely proportional to moisture content) and sent to the ESP8266.
There are 3 outputs:
This then gives an output to a red led if moisture is more than 50% the red led will shine to show that the soil is moist and does not need to be watered.
If the moisture level falls below 50% then the green led will glow and the pump will water the field. The pump is connected through a relay.
The moisture measured along with the date, timestamp, resistance and moisture content is automatically recorded in a google sheet which is shared with the entire team.
This is then used in our web app which tracks its moisture level
A diagram has been appended along with the operations used (in the image gallery).
Link to the dashboard is also included in the link section.
Challenges I ran into
Our teammates operated in different time zones - Bahrain and the United States - which made collaboration incredibly difficult amongst us. This made time management a very real and difficult challenge, especially given that we decided to work on a hardware project that required interdependency.
In addition to this, although we were able to implement graphs within python, we were unable to actually transfer that into HTML, which was unfortunate since we would have loved to implement visualisation tools within our project website.
Accomplishments that I'm proud of
We built an actual project that is able to perform its full intended function in its prototype form - a feat we were unsure we would actually be able to achieve.
What I learned
We learnt how to use Arduino sensors and create a dashboard to track it. We also learned about the online web app maker, wayscript, which we used to access our google spreadsheet data and further transfer modules seamlessly between all the different languages we ended up using.
What's next for Automated Irrigation
We would also like to implement a temperature sensor since another characteristic of wasteful water consumption in agriculture is the fact that farmers oftentimes water their crops in broad daylight when evaporation is at its peak although the ideal times remain at daybreak and early evenings. Using a combination of both temperature sensors and low moisture levels in the soil to track when water ought to be given will definitely make our product even more sustainable. We would also potentially like to create a database of crops and their watering needs so as to be fully facilitating (eg, rice requires high moisture at all times to grow).
Built With
arduino
c
css3
google-spreadsheets
html5
numpy
python
wayscript
Try it out
github.com
18071.wayscript.io | Automated Irrigation System | We tackle the most wasteful sector in water consumption - agriculture - through fully automating the process of watering crops based on soil moisture levels, therefore making farming sustainable. | ['Saachi Kumar', 'Advika Ravi Kumar', 'Sydney Faux'] | [] | ['arduino', 'c', 'css3', 'google-spreadsheets', 'html5', 'numpy', 'python', 'wayscript'] | 12 |
9,876 | https://devpost.com/software/trashtrackers | TrashTrackers Logo!
Inspiration
Our inspiration was to focus on a meaningful solution to environmental sustainability. While we knew that we can’t solve all of our environmental issues, we wanted to design something that would encourage people around the world to clean the Earth, our home.
What it does
Our project takes user input in order to create a global database, which can map the trash around the world. This creates a unique opportunity for global reforms targeted at preventing large scale littering, which threatens our environment and the very world in which we live. Additionally, our app allows us to quickly get access to large amounts of recyclable material around the world, which has numerous ways to be repurposed and sold while simultaneously helping the environment. For example, multiple companies already buy aluminum cans, cardboard boxes, and various other pieces of trash. Outside of the US, countries like India have little known economic systems built upon trash and recycling where similar projects have attempted to locate the trash. However, our project uniquely maps the trash globally and verifies the collected trash through computer vision and ML systems.
How we built it
We utilized a variety of languages and apis including: html, css, javascript, python, sql, google-maps api, and google-cloud api. We needed to use concepts from both machine learning and computer vision in order to have achieved our goal.
Challenges we ran into
Our primary challenge was trying to integrate the machine learning program written in python into our html documents. Specifically, we struggled to use the SSIM from the python cv2 package. We attempted to use php to load and access the images through a database, but we quickly discovered that php databases struggle to store images. We also had some initial struggles connecting to the CloudSQL database, which we eventually overcame. Unfortunately in the end we ran out of time to integrate the machine learning algorithm into the website.
Accomplishments that we're proud of
While we had some struggles, these struggles lead to numerous accomplishments. For example, while our ML model couldn’t be integrated into our website, we were able to train our model even with limited data to have a very high accuracy in testing. Additionally, we were able to create a database for our locations where we log our trash, which we successfully mapped. We are also proud of our login system, which allows users to create accounts and log their trash collected.
What we learned
This hackathon taught us a variety of things, both coding applications and morals. We learned how to run a php server to start a local web host, implement machine learning algorithms, and utilize various apis. On the other hand, we also learned we can get a substantial amount of work done by splitting up tasks even though it can be difficult to integrate it in the end. Despite this, we still learned about how to integrate python and html though we didn’t have time to implement it.
What's next for TrashTrackers
In the future TrashTrackers has multiple goals. The first and foremost would be merging our ML program into the database. Next we would make sure to get a larger training data in order to increase our accuracy. As a team, we also have the goal to make our project more wide scale in order to make the global database work well. This means we plan to use various platforms in order to spread knowledge about our platform. Given that we could get a large amount of testing data, we also would like to use computer vision and a neural network in order to classify the type of trash (eg. plastic, aluminum, cardboard, etc.) in the picture and even classify the type of plastic.
Built With
cloudsql
css
cv
google-cloud
google-maps
html
javascript
machine-learning
php
python
sql
ssim
Try it out
trash-tracker2020.uk.r.appspot.com
github.com | TrashTrackers | TrashTrackers takes large scale user input in order to create a global database to map trash around the world and provide an opportunity to prevent large scale littering. | ['Bhavya Guduru', 'Shreya Singh', 'Gabriel Witkop', 'Swesik Ramineni'] | [] | ['cloudsql', 'css', 'cv', 'google-cloud', 'google-maps', 'html', 'javascript', 'machine-learning', 'php', 'python', 'sql', 'ssim'] | 13 |
9,876 | https://devpost.com/software/titanhacks-z5pga2 | Website Home Page
SMS Notification
NOTE: Pitch accessible at
https://ugli.tech/pitch
.
NOTE: Website video demo accessible at
https://ugli.tech/demo
.
NOTE: Pitch deck slides accessible at
https://ugli.tech/slides
.
Did you know that the ugli fruit is also called the uniq fruit? With Ugli, ugly and misshapen produce no longer go to waste. Farmers and restaurants connect to form mutually beneficial transactions.
Inspiration
On average, farmers in the United States alone waste over 20 billion pounds of food annually. Fruits and vegetables that are deemed just a little too ripe, small, or oddly shaped never make it into the hands of supermarkets or national food carriers, and even perfect produce may not leave the farm when local, small-time farmers don’t have a means of accessing nearby clients. Similarly, restaurant owners often face staggeringly high prices for basic ingredients, but in the status quo have little incentive to reach out to suppliers other than national chains. Moreover, restaurant owners don’t require cosmetically perfect ingredients when menu items only reflect the end result of their cooking. To bridge the gap between farmers and restaurant owners alike, we set out to create Ugli.
Through Ugli, we hope to use artificial intelligence, machine learning, and technology in general as a means of transforming careers and improving lives. The fields of agriculture and environmental sustainability have recently become prominent AI verticals, and we hope to revolutionize the process of turning ugly waste into abundant produce.
What it does
Ugli is a web app aimed at revolutionizing the way fresh produce is sold by local farmers. It serves as a link between farmers and local restaurant owners to help farmers sell cosmetically imperfect ingredients or ingredients in high supply at a reduced price to help avoid excessive food waste.
Without Ugli, farmers struggle to sell all of their food—especially imperfect produce—and therefore rely on food carriers or charity organizations to reach out to them. These organizations often fail to cater to individual farmers, resulting in billions of tons of fresh produce going to the landfill each year. That’s why we invented Ugli, an application that allows farmers to reach out to those restaurants and businesses. Not only does this waste contribute to major environmental problems such as air pollution, climate change, and more, but it also strips farmers of a huge portion of the income they need to survive.
First, farmers can view a curated list of nearby restaurants and the ingredients that each restaurant needs. Internally, our code determines the cuisine of a given restaurant and translates that into a list of common ingredients that the restaurant needs along with the likely quantity. Moreover, restaurant owners have the option to upload an image of their menu, and our optical character recognition AI/ML algorithm converts this image into a list of menu items which we then convert into a list of ingredients by calling the Spoonacular API.
In addition, through our automated Twilio SMS system, we make it easy and efficient for farmers to reach out and strike deals with local restaurants.
How we built it
After a few hours of wireframing, brainstorming new features, and assigning tasks, we divided ourselves into 2 frontend, 1 backend, and 1 AI/ML developer and started working. Mason and Howard designed the UI/UX, Tony worked on creating the Cloud Firestore backend and linking it to the Spoonacular recipe API call, and Vignav built the Twilio SMS system after creating and training the AI/ML algorithms for text recognition and menu processing.
Challenges we ran into
Our biggest challenge was getting the Spoonacular API call to process the inputs from our website form. We needed two separate API functionalities and spent a majority of our time refining the dish and ingredient results from Spoonacular. We were able to overcome this problem by looping through the API call twice to access both API search functionalities. Integrating the features with both the text recognition ML algorithm and the Twilio SMS messaging system was also a major challenge as it was new technology we were trying out.
Accomplishments that we're proud of
We're proud of the unique way in which we were able to combine and build off of research from various sources and fuse them into one final product. It was really exciting to see all of our features, from OCR-based menu uploading to Twilio SMS notifications to cuisine-based ingredient generation, come together and for us to successfully transform something that has so far been primarily an untested, theoretical concept into an innovative working product. We're really proud of everyone's dedication to the project and determination to tackle food waste with a revolutionary solution.
What we learned
We entered this hackathon with absolutely no prior knowledge of programmable SMS notifications or restaurant-based ML development and filtering, and after a day of hard work, we completed Ugli. Working with vast amounts of AI/ML training data, mathematical algorithms, and online phone numbers more made this project really fun!
What's next for Ugli
For the second iteration of our Twilio messaging feature, we hope to add an in-app messaging system for farmers to continue negotiating deals and making arrangements with restaurant owners through Ugli's website. In addition, we are in the process of designing and implementing a K-means based clustering algorithm that allows farmers to enter a few of their key ingredients and receive a list of the top 10 restaurants that satisfy criteria such as distance from the farm, ingredient necessity, and more.
Most importantly, Ugli’s solutions to food waste apply to far more than farmer-restaurant relationships. While our work is disruptive in the agricultural sector, our technologies can be applied to various other scenarios, such as food waste by patients in hospitals, effective food donation to homeless shelters, and more.
Pitchfest
Our pitch deck can be found at
https://ugli.tech/slides
.
Built With
ai
css
firebase
firestore
html
isotope
javascript
machine-learning
node.js
spoonacular
tesseract.js
twilio
Try it out
github.com
ugli.tech | Ugli | Turning ugly waste into abundant produce. | ['Vignav Ramesh', 'Howard Huang', 'Tony Jiang', 'Mason Wang'] | ['Sustainability'] | ['ai', 'css', 'firebase', 'firestore', 'html', 'isotope', 'javascript', 'machine-learning', 'node.js', 'spoonacular', 'tesseract.js', 'twilio'] | 14 |
9,876 | https://devpost.com/software/coronadash | Inspiration
Inspired by the constant searching for local information about COVID-19.
What it does
Local information for COVID-19 including a risk analysis, updates from local hospitals, an action plan, and more.
Indexes information from thousands of sources.
GitHub
https://github.com/josephsemrai/coronadashboard
Built With
material-ui
react
redux
redux-toolkit
typescript
Try it out
coronadash.now.sh | CoronaDash | Local information for COVID-19 including a risk analysis, updates from local hospitals, an action plan, and more. | ['Joseph Semrai'] | [] | ['material-ui', 'react', 'redux', 'redux-toolkit', 'typescript'] | 15 |
9,876 | https://devpost.com/software/sustainacity | What it does
Sustainacity is a website that aims to do exactly what its slogan says - make cities and communities more sustainable. It does this in two key ways. The first is by providing a platform for users to share acts by themselves that are environmentally friendly and habits that are sustainable, therefore motivating and encouraging others to do similar things. Second, it provides an interface where users can easily discover nearby organizations that are doing things that promote environmental sustainability and can help citizens live more sustainably as well.
Users interested in learning about environmental sustainability themselves can ask the EcoBot, a chatbot that is always ready to answer your questions about living sustainably.
Project Architecture
All pages of the website utilize
Bootstrap
for formatting and making the website responsive. Flask and Python are used for the backend of the website. Firebase is used for the Database of the website, specifically the posts. Google Dialogflow is used for the chatbot and LeafletJS for the map. Heroku is used to host the website. We chose these tools for mostly two reasons: time and versatility. Firebase is really easy to get started with on the site. We chose Python and Flask because again they are really easy to get going with, and most of our team had some kind of a grasp of Python. Heroku was chosen, because of there fantastic Github connection we were set up on the web in minutes, with little need for configuration. Bootstrap was a great way to get started with a great looking frontend, especially through the wonderful Bootstrap Studio.
Posts
Posts is a place for you to show environmentally sustainable things you have been doing. It is meant to use Firebase to hold the details of the presented posts, alongside user data.
Organisations
The 'Organisations' page consists of two main components - a map featuring locations of organizations, and the same organizations in a list with more details.
The map was built using
LeafletJS
, a JavaScript library for interactive maps.
The locations and organizations were entered into a JSON-like structure in the JavaScript of the organizations' page. The program loops through these entries and places them on the map in addition to populating the list with them.
(All entries were manually sourced by the developers of this project, as were their details. In the future, we expect organizations to reach out to our team to have themselves verified and featured on the website).
EcoBot
The EcoBot was built using Google Dialogflow. It is trained to answer questions about 10 broad topics related to sustainability, each of which have multiple unique answers that were sourced from a variety of websites and edited for clarity and context. EcoBot's logo was built using icons from fontawesome.com, edited in the Pixlr photo editor.
Challenges I ran into
Over the course of the development cycle for this hackathon, we faced numerous issues and challenges.
The one major challenge we faced was having to effectively start over from scratch about a day before the deadline. This was due to the unavailability of a key API required for the functioning of this project, without which our project would be crippled. This was naturally a crushing blow to us, as we had lost 24 hour's worth of excellent work and bug-fixing.
However, due to a fruitful brainstorming session amongst team members and excellent work the next day, we were able to create SustainaCity, a product that far exceeds what was our wildest expectations at the start of the hackathon.
Even this did not knock us from completing the project to the best of our abilities.
Posts, on the other hand, was the hardest part of the project due to the complexities of getting the Firebase to link with the webserver. At the time of writing this, this part still isn't completely solid.
Another hard part was getting the Flask files to serve, the HTML, alongside the CSS and Javascript, which decided to fail in the final hour of testing, we ended up switching to a single page format, which still didn't work.
What's next for SustainaCity
We want to take SustainaCity to the next level and have various plans for this. Our primary aim is to expand the user base to drive the generation of more posts as well as have more organizations promote their initiatives and help communities live more sustainably. Through this, we hope to further our goal of making communities and cities more sustainable by the sharing of acts and initiatives of the people. We plan to fix, improve and expand the features we failed to complete within the three days of the hackathon
How to view?
You can view the site in a web browser, but starting with the homepage.html file in the
Templates
folder, you can then use this to navigate the site. Sadly the proper version failed to be glued together and working in time, but feel free to look around the other files, to try and get a view of what we are trying to achieve and what progress has been made on the parts that haven't been completed.
Built With
css
dialogflow
firebase
flask
html
javascript
photoshop
pixlr
python
Try it out
github.com | SustainaCity | Making cities more sustainable, one person and community at a time | ['Arjun Sharma', 'Ansh Chauhan', 'flynn cowell'] | [] | ['css', 'dialogflow', 'firebase', 'flask', 'html', 'javascript', 'photoshop', 'pixlr', 'python'] | 16 |
9,876 | https://devpost.com/software/evaluating-the-effectiveness-of-tnr-on-feral-cat-communities | People are often uneducated or misinformed about the damage feral cat colonies have on our environment. What if I told you that feral cats account for the death of between 1.4 and 3.7 billion birds and between 6.9 and 20.7 billion wild mammals according to a 2013 study. Not only this, but feral cats wreak havoc on island communities, and have already been responsible for the extinction of 18 island species and are the primary predator of 36 more critically endangered species.
Feral cats cause a wide array of issues not just for people and the communities they live in, but also for biodiversity as they are one of the most prevalent invasive species. And the root cause of their prevalence in destroying wildlife and limiting biodiversity: us. Humans end up feeding feral cat communities as we feel it is a humane gesture which causes populations to continue to rise.
In order to limit populations of feral cats, two initiatives have been adopted: euthanasia and TNR. While euthanasia elimates members of feral cat populations, it is often expensive to carry out. Largely gaining popularity in the 90s, TNR (trap, neuter, release) was adopted in order to control feral cat populations in a cost-effective manner.
TNR is a humane practice of regulating populations and actually benefits the cats health and wellbeing. One of the first places to implement TNR was Newburyport, MA, which saw a dramatic reduction of feral cats by their waterfront over the course of 17 years. At the start, around 300 feral cats roamed freely, and after 17 years, ⅓ of these cats were adoptable, and the others were effectively neutralized in reproducing, leading to none left.
Our simulation uses statistics from this research study as well as other sources listed in the source code to illustrate the effectiveness of TNR through easy-to-understand visualizations. If people can see and conceptualize the effectiveness, more will be motivated to adopt programs and get started. Our visualizations promote equity in understanding through visualizations and through our simulation we hope to inform people of the environmental problems feral cats cause as well as show them ways to reduce the population of this invasive species.
Check out our pitch deck linked here:
https://docs.google.com/presentation/d/1fOn9JfPNv8ywo_EzXR8Y_j8Vg4735Ley6II3q5WGbzs/edit#slide=id.p
For more information about TNR visit:
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=video&cd=9&cad=rja&uact=8&ved=0ahUKEwjI4umg1ePoAhV4lXIEHdMDARcQtwIIUTAI&url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DSw4h-xtgnsw&usg=AOvVaw09aV9s8koIGgU6t3GZxQwb
(Side note for the repl.it: Check the .png after choosing which graph, as all graph plots are displaying on one .png since matplotlib is an intensive program. If the repl.it displays incorrectly, the GitHub repo is available to view/download.)
Built With
python
Try it out
github.com
repl.it | Evaluating the Effectiveness of TNR on Feral Cat Communities | Using data provided from multiple sources, our simulation seeks to create easy-to-understand visualizations that evaluate the effectiveness of TNR. | ['Scott Blender', 'Tejas Bhartiya'] | [] | ['python'] | 17 |
9,876 | https://devpost.com/software/hackhelyx | Eco-Drive Logo
hackhelyx
Eco-Drive
We're a Google Chrome Extension that allows users to calculate their fuel consumption costs along with their carbon footprint in emissions.
There already are fuel consumption calculators, but all of them have fancy jargon and are not integrated into an existing navigational service.
Our extension is easy to access and transfers seamlessly and painlessly to any navigational service. It is a practical tool that will help people become more aware of the personal monetary costs and the environmental costs that come with inefficient driving.
My whole team had little to no experience in CSS, HTML, and JS, but we learned as we go through Youtube tutorials and W3schools.
The extension's calculator is slow, however the code is valid as its webpage makes fast calculations. We are still trying to figure out why the extension suddenly is prohibiting us from calculating (it was fully functioning a few hours ago).
We envision users to use this extension when planning trips on Google Maps. You just need to put in the miles you will be traveling and your car's MPG (miles per gallon) to get the cost and carbon footprint calculation. We provide a list of average MPGs of the top 10 most common cars in the United States so that users can access relevant info quickly.
We want to create a more dynamic dataset in the future where the MPG values we offer as reference are based on the exact car model (And thus more accurate). We will stick with our idea that this feature should not require a lot of effort to use.
Video Demo
Credits
Built With
html
javascript
Try it out
github.com
docs.google.com | Eco-Drive | We're a Google Chrome Extension that allows users to calculate their fuel consumption (financial) costs along with their carbon footprint in emissions. | ['SereneFeng Feng', 'Sibel Olcal', 'Lina Chihoub'] | [] | ['html', 'javascript'] | 18 |
9,876 | https://devpost.com/software/sustainable-b8xhm1 | Homepage
Search function
Result - Rice(Ordinary)
Result - Milk
Logo
Concept
Concept
Compiled Data
Inspiration
In preparation for the Helyx Hackathon, we noticed a gap in the market: something nobody around us was talking about, something which almost never comes up as an issue in our country - the carbon footprint of the goods we consume on a day-to-day business. We asked our families, our friends, what they knew about the carbon footprint of the goods they regularly consumed, what they knew of the impact the products had on the environment and what they knew about the companies producing the goods and how they affected the environment, and we came back with no results. There is a lack of information on how the goods we consume affects the world around us as it goes from producer to plate, and so we believe that our project, Sustainable, can make a difference in raising awareness of how the carbon footprint of goods affects us ourselves, and get the population to buy more organic, more eco-friendly products for use in their everyday lives.
What it does
Our project, Sustainable, acts as a search engine built for consumers who want to make a difference in the environment, allowing them to find the carbon footprint of the products they consume through searching for the products on our website, or selecting the products through categories which we have chosen to reliably represent all goods and products our consumers would want to search on our website. Our website will also show different brands which we believe are environmentally friendly and produced in a sustainable manner, serving as recommendations of what brands our more environmentally conscious users would benefit from selecting. This would, in the future, further be built into partnerships with environmentally sustainable brands to provide deliveries and service of fresh and organic goods, and to deliver further information on how these products and these businesses help the environment. With further investment, we also would look to offer choices for consumers of different dietary needs, whether that be veganism, gluten-free products, or allergies to particular substances, to give these people more information on what would fit in with their dietary requirements, for those who are looking to become vegan, or gluten-free, and keep those with allergies from buying products which may have particular substances in them or from buying from brands which may also work with those substances, perhaps in the same facilities.
What we found difficult
In the process of coding the website, one difficulty which came up was the search bar tool. It was an integral part of our project, as a search engine for food products and their carbon footprints, but myself and Tselmeg, the two lead programmers, had difficulties trying to create it, at first, and then had some difficulties with implementing it into the page. We seemed to have no luck at first, creating more of a drop-down box list than a search bar, but finally, after many tries and many fails, we managed to create a working search system. We also had difficulties creating the database for the products, having little experience with SQL and PHP, and so data entry at first was more than a little difficult. We persevered, and managed to get our data entered with SQL, and we bridged that to our HTML with PHP. The reason why we used SQL, rather than simpler alternatives is the fact that SQL is more future proof and easier to expand on since only the database would need to be expanded on rather than changing the entire site.
What we were proud of
Our whole team believes that the design of our website is an amazing design: very user-friendly, bright and colourful, and something which almost entices users into our website. The colour palette meshes well together, and Tselmeg and I, the lead programmers, had more of an easier time with the HTML, JS and CSS aspects of the coding, as we had much more experience in these fields. We all worked together every step of the way, so our team is proud of our teamwork and communication, which enabled us to bring Sustainable to life.
What we learnt
We learned about the carbon footprint of many of our favourite goods, particularly in our research stage, and we learned about the gap in the market for our product as we searched for information online about the goods and brands we included on our website, as we could not find the information very easily at all, trawling the depths of the web to find some of our eco-friendly brands and their certifications. In terms of the programming, we learned more about PHP, JS, and SQL, although we still have a lot to learn, and we managed to create a search bar, which was a very big stepping stone of progress. In the end, we found that our end product after these three days of working tirelessly and vigorously was what we wanted. We wanted a product that doesn't exist on the market. Right now, there are only websites and apps simply made to monitor your carbon footprint - nothing of the likes of our product. Our product, seamlessly, provides awareness of the carbon footprint, the calories, the toxic ingredients, and recommended brands with certification all in a single search engine.
What's next for Sustainable
With further time and investment, we would look to implement the aforementioned partnerships and brand deals with environmentally friendly producers, providing a delivery service for fresh and organically sourced goods, and establishing brand deals to allow eco-friendly producers to give more information to our users about the production process, and what steps are taken to ensure the least harm is done to the environment. Further features we wish to implement would include support for dietary plans and requirements, showing our user base which foods will fit in with dietary restrictions such as veganism, vegetarianism and allergies to certain foods or food substances, giving more information which is especially necessary for those who wish to start dietary choices such as vegetarianism, veganism, low-carb diets and gluten-free diets. We would also hope to expand this dietary information idea into a diet tracking system where users could log their weight changes day-to-day, the number of calories they eat every day, and certain diet plans and foods which would work well for them and are environmentally friendly. We would pair it with a user-friendly interface and simple data entry from the user, to make it a desirable diet planner for all. Another way we plan to branch out in the future is shifting our sole focus from food products to expand to other industries, such as make-up, fashion and cleaning products, to provide more information to a wider user base and push our message of using low carbon footprint, ecologically sustainable products to more and more people, to further the effect our website will have.
Built With
bootstrap
css
html
javascript
php
sql
Try it out
github.com | Sustainable | Bringing Sustainable to the table. | ['Tselmeg Lkhagvajargal', 'Nomin-Erdene Bayarsaikhan', 'Michelle Sandag', 'Amour Bayar'] | [] | ['bootstrap', 'css', 'html', 'javascript', 'php', 'sql'] | 19 |
9,876 | https://devpost.com/software/avatar-52ekr4 | Concept presentation 1
Concept presentation 2
Concept presentation 3
Concept presentation 4
Elements list
Menu screenshot
Welcome screen screenshot
Today task screen screenshot
Completed task screenshot
Fire task list screenshot
Avatar
Inspiration
We feel that all environmental concerns—air pollution, water waste, littering, etc—is interconnected. Thus, it's impossible to address one without addressing the others.
In order to better educate consumers and everyday people alike on environmental sustainability, we created Avatar.
What it does
Avatar is an Android app that drives, educates, and challenges everyday people to master their control of the environmental elements.
Our philosophy is built on the concept of
strength in numbers
, where many people can make a difference through a combined effort. Avatar assigns
small, actionable, daily
goals for users to complete that compound in benefits over time. These goals/tasks are organized by type into four categories: fire, earth, air, and water. Users can gain mastery over individual elements, level up, and become an "avatar".
How we built it
We used Adobe XD to mock-up the user interface; this served as an opportunity for not only determining visual design direction but for our overall app concept.
Next, we moved into Android Studio to code and bring the app to life. We split the app development into a front-end and back-end, and we periodically merged our work along the way.
Challenges we ran into
Translating the UI mockup into XML code. We quickly discovered limitations and workarounds of using the design versus text view.
Using java to pass the data between different activities. Since we didn't know how to do this initially, we consulted the internet to find a solution.
Storing and retrieving local phone data.
This is our first hackathon, so we struggled to find a platform to develop on because we did not have overlapping skill sets. **But, these seemingly-unrelated skillsets helped us bring new perspectives into our designs, and create a strong application—in both concept and functionality.**
Accomplishments that we're proud of
We're really proud of our application's UI. We were able to find a strong design direction and create a visually appealing and efficient user interface.
We're also proud of our collaborative teamwork and all that we learned throughout this first hackathon. We're looking forward to attending more later!
What we learned
We learned how to communicate effectively, navigate Github faster, and added new skills and concepts to our toolbelts such as XML, Java Intent, and more.
What's next for Avatar
Pitch Presentation Slides
Built With
adobe-xd
android
android-studio
java
photoshop
xml
Try it out
github.com | Avatar | An app that drives, educates, and challenges everyday people to master their control of the environmental elements. Pushing for environmental sustainability one action at a time. | ['Michaela Chang', 'Sophia Yu'] | [] | ['adobe-xd', 'android', 'android-studio', 'java', 'photoshop', 'xml'] | 20 |
9,876 | https://devpost.com/software/earth-clicker | A grass auto-earning earth points.
Starting screen.
Inspiration
It was inspired by the famous game, Cookie Clicker. (
http://orteil.dashnet.org/cookieclicker/
)
What it does
You click on the earth to earn earth points, which you can in turn use to buy buildings that auto-click for you. All the buildings in the shop are based on real-life items and structures that help improve the environment.
How we built it
We used pygame and set up a few surfaces. One would later be the clicker, the rest would be the shop. We added a slightly larger version of the clicker and replaced with the original clicker when clicked-- giving a pop animation. We did the same with the shop, but we didn't use any animations.
Challenges we ran into
We had some trouble with the frame rate, and at certain points the game became extremely laggy. We managed to fix it a little bit, but the game still stops at random moments.
Accomplishments that we're proud of
We are surprised that we came this far, especially considering we did not know Pygame very well. I, for one, was learning pygame while coding!
What we learned
We learned that sometimes, it is best not to write the entire program at once, but to make a skeleton first, which could later be filled in with functions.
What's next for Earth Clicker
We hope to fix the lag problem, and add more updates and buildings as we go. We also hope to add music to the game soon.
Built With
pygame
python
Try it out
repl.it | Earth Clicker | An idle gamed with environmentally-friendly themes | ['Eric Zou', 'Nebir Hassan', 'Derek Hu', 'Dyno'] | [] | ['pygame', 'python'] | 21 |
9,876 | https://devpost.com/software/mark-philip-evan-liu-yun-yeung-and-james-zhang | Inspiration
We knew that the environment was facing a lot of troubles because of human causes these days, and we wanted to make a positive impact, though a small impact, but nevertheless a positive impact, that we hope will be improved upon and spread to many people to let them know to improve upon our environment.
What it does
This program consists of 3 basic but engaging games that can be used to raise awareness of improving our planet's environment. Further descriptions of the games are in the code.
How we built it
Our team worked together to come up with ideas and designs for our games. We used the pygame module to display our game. We used comments in the code to describe what parts of the code do what in the program.
Challenges we ran into
Pygame would occasionally have display issues when running the program on Repl.it. However, nothing was wrong with the code. in addition, we would run the code later, and it would work. Also, some teammates would get anxious when the code went wrong, but we worked together and fixed it.
Accomplishments that we're proud of
At first, coming up with the games, coding it, displaying the images and all the words was a hassle. However, after it was all done, we felt better and that we could improve upon it more.
What we learned
Take the work slowly, and don't panic. Panicking won't help, and always help your teammates through tough situations, because a team always makes hard loads much easier.
What's next for Environmental Sustainability Learning and Fun
When we coded this, we wanted this program to be used to educate future generations, because developing the minds of younger generations on an idea will strengthen their focus on that idea. In addition, we really want them to know how to protect and sustain our Earth's environment for many years to come.
Built With
pygame
python
random
repl.it
time
Try it out
repl.it | Environmental Sustainability Learning and Fun | This program consists of simple but engaging games that promote protecting our environment. | ['Evan Liu', 'Mark Philip', 'Supermonkey123'] | [] | ['pygame', 'python', 'random', 'repl.it', 'time'] | 22 |
9,876 | https://devpost.com/software/planetary | Title Screen
Game Loss Title Screen
Donations Screen
Info Screen
Game Screen
About Screen
About:
Pollution is a challenge that our world has been facing in the last decade. Communities are suffering from lots of problems that come from pollution including health issues and global warming. Air pollution not only affects peoples’ health, but also it affects the global economy. Our app shows you where this scenario is derived from and how we can stand up against it. Firstly, we implemented a game to show people how pollution affects the economy and our health. In the info section, we show people how pollution is growing in the function of spending money on removing trees and making a factory. In the end, we encourage people to make donations to organizations that are planting trees. This is the way that we can collaborate together to solve our problem and be part of the solution.
What it does
Firstly, the game in the app is a good representation of how removing a single tree affects our already unstable world economy. Removing a tree in the game and replacing it with a fossil fuel burning factory decreases money by $50700 and increases pollution by 3.4%. The game introduces a beneficial experience so people can better understand how pollution affects the world around us. Secondly, on the info page, we highlight the fact that burning fossil fuels can increase the amount of CO2 in the atmosphere by 3.4% in a single year in the graph. Lastly, we challenge the increased pollution of today with a solution of our own. We offer a chance for people to donate or volunteer for organizations that help our environment by planting trees, which is something we hope to inspire people to do after playing our game and recognizing the effects pollution can have on our environment. In this way, we are all coming together to promote clean, pollution-free air.
How we built it
We used eclipse to code the app in java and we used python to extract data and draw a graph that presents the relationship between pollution, money spent in removing trees and making a factory using the python coding language. We also used software: MedibangPaintPro and Gimp, to make the graphics for our game.
Challenges we ran into
We are located in different parts of the world and we ran into the challenge of communicating through different time zones.
Accomplishments that we're proud of
Make an innovative idea that helps people to be part of the change. Donations will make a transition from a world where people are suffering economically and physically to a world where people who are gaining fresh and clean air, and no disappearance of their wealth.
What we learned
We learned how to extract data from a URL, how to draw images on the screen, and How to send people to a website when they click on a button.
What's next for Planetary
If we collaborate and start making donations to companies that are planting trees, our planet will be the best place to live in.
Built With
eclipse
gimp
java
python
Try it out
github.com | Planetary | A catalyst for planetary change | ['jrcodd Codd', 'LAMIA LADAME', 'KaileeDa 23', 'Jslice101 Hunter-Hays'] | [] | ['eclipse', 'gimp', 'java', 'python'] | 23 |
9,876 | https://devpost.com/software/greenup-pesyvj | Input fields for the location and distance
Results- satellite image and data
Results- green grade and distance map
Homepage of our website
Inspiration
There is no single application that can estimate green space given coordinates or a location. We drew inspiration from the necessity of green space in sustainable urban planning, and on further research, came up with a novel idea to raise awareness about green spaces in cities.
What it does
GreenUP utilizes satellite images to determine the amount of 'green' in a particular area defined by two user inputs - location and distance. After determining the amount of green area, a 'green grade' is assigned. This letter grade reflects the sufficiency of green space.
How we built it
GreenUP was built entirely using the Wolfram Language.
Challenges we ran into
• Most maps are entirely green. We solved this by taking a range of green shades.
• Coming up with the most suitable map resolution to work with.
• In several maps, greenish water bodies are incorrectly calculated as green space. This requires more time to refine.
Accomplishments that we're proud of
• We were able to get near-accurate values for heavily industrialized cities vs suburban locations.
• In several cities such as Chicago, GreenUP successfully ignored water bodies as green space.
• We did all of this in 48 hours!
What we learned
• Many cities lack sufficient green space for human health and sustainability.
What's next for GreenUP
• Refine our algorithm by also identifying polygons and larger green spaces.
• Attempt to classify them as private or public green spaces.
• Modify our letter-grading system such that it is not solely dependent on the ratio of green area to total area, but also takes in factors like size, distance from the user, and the quality of green space into account.
Built With
weebly
wolfram-technologies
Try it out
green-up.weebly.com
github.com | GreenUP | GreenUP publicizes information about urban green space (UGS) availability in a particular location, thereby fostering community-wide awareness of and engagement in UGS development. | ['Jessica Shi', 'Aranyo Ray', 'Anwesha Das', 'Claire Morton'] | [] | ['weebly', 'wolfram-technologies'] | 24 |
9,876 | https://devpost.com/software/internationale-forschungsplattform | Logo Forschungplattform
Diese Plattform ensteht in Kooperation mit der Crisis_Magament_Plattform
sodass dem Wissenschaftler, Forscher und Erfinder dieser Forschungsplattform
immer die aktuellsten Daten zur Verfügung stehen.
Beschreibung des Projektes:
Es handelt sich bei diesem Projekt um eine neue Art der Forschung und einem noch nie dagewesenen weltweiten Projekt. Diese Plattform verbindet Wissenschaftler, Forscher und Erfinder in einer Form, die es weltweit noch nicht gegeben hat.
Die Daten, die entscheidend für Forschung sind, werden International zusammengestellt und stehen allen Forschern, Wissenschaftlern und Erfindern dieser Plattform zur Verfügung.
Dies ist aber nicht nur ein Internationales wissenschaftliches Projekt, sondern beinhaltet gleichermaßen ein soziologisches Projekt. Es ist ein dreifaches wissenschaftliches Projekt, welches eine große Zukunft hat. Stellen Sie sich selbst die Frage, was Sie für Fortschritte in allen Bereichen der Forschung machen können, wenn mit einmal statt 200 Wissenschaftlern 50000 Wissenschaftler, Forscher und Erfinder zusammen an den Projekten forschen. Mit einem unglaublichen Wissensspektrum und Ideen gebündelt auf einer Plattform zum Wohle aller Menschen.
Die Planung und organisatorischen Maßnahmen, ergeben sich aus dem Verbund internationaler Wissenschaftler, Forscher und Erfindern. Diese organisieren mithilfe dieser Plattform virtuelle Meetings um gemeinsam zu Forschen.
Daten werden durch ein Expertenteam analysiert und in der Plattform eingebunden, sodass jeder auf dieser Plattform immer und jederzeit auf den neusten Stand der aktuellen Forschung ist. Die Nutzer dieser Plattform haben zudem die Möglichkeit eine bestimmte Seite zum Beispiel eines Forschungsinstitutes unserem Team vorzuschlagen und nach einer Prüfung durch ein Team und der Absprache mit dem Betreiber der Seite wird diese integriert,
zudem können Forschungseinrichtungen ihre Seite mit einbinden lassen, sodass alle auf der Plattform befindlichen Nutzer die Informationen der Seite sehen können.
Das Gute an dieser Plattform ist, dass die Nutzer sich selbst organisieren, Meetings planen können und sich jederzeit austauschen können.
Gleichzeitig haben Nutzer die Möglichkeit Ihre Entdeckungen international mit allen Nutzern der Plattform zu veröffentlichen.
Wer steht eigentlich hinter dieser ganzen Aktion?
Mein Name ist Michael Rhein, ich leitete die Patentverwertung TIZ-NORD Wilhelmshaven Technisches Innovations Zentrum für Forschung und Patentverwertung. Als die Pandemie losging, überlegte ich welche Möglichkeiten es gibt, um schnellstmöglich diese Krise zu bewältigen. So suchte ich am Anfang alleine nach Lösungen bis ich bemerkte, dass genau hier die Lösung zu finden ist. Aufgrund dessen überlegte ich wie ich es schaffen könnte, so viele Menschen wie möglich zusammenzubringen, um eine Lösung gemeinsam zu finden. Hierbei war mir aber von Anfang an klar, dass dies nur mit Experten auf dem Gebieten der Wissenschaften, der Forschung und mit den daraus resultierenden Erfindungen oder medizinischen Mitteln der Erfinder möglich sein würde und so entwickelte ich das Projekt der Forschungsplattform. Mir war bewusst, dass dies mich vor enorme Herausforderungen stellen würde und wird, doch diese werde ich gemeinsam mit allen zusammen bewältigen können.
Wie ist es mit den Rechten?
Ich habe lange überlegt wie man den rechtlichen Teil dieser Plattform Organisieren könnte. Jetzt habe ich auch hierzu eine Lösung gefunden. Alle die sich auf dieser Plattform registrieren, willigen einfach ein, dass die Rechte an den auf der Forschungsplattform gemachten Forschungsergebnisse, Erfindungen zum Wohle der Menschheit, auf alle auf der Plattform registrierten Nutzer die an der Erstellung dieser Erfindung, Lösung oder den Forschungsergebnissen gleichmäßig verteilt werden. Dies ist eine optimale Lösung um gemeinsam zu Forschen. Zur Umsetzung dieser Regelung Akzeptieren die Nutzer die AGBs der Plattform, in denen alle rechtlichen Punkte festgelegt sind.
Wie sieht es Finanziell aus? Wer Finanziert das ganze?
Es geht bei dieser Plattform nicht darum, den größtmöglichen Gewinn zu erzielen, vielmehr geht es darum gemeinsam Dinge zu entwickeln die eine solche Situation wie Coovid-19 vermeiden können oder zumindest eine schnelle Lösung dafür herbeiführen können. Ich versuche über politische Wege von den Regierungen aus den die Wissenschaftler, Erfinder und Forscher stammen finanzielle Fördermittel zu erhalten, diese werden dann an die jeweiligen Forschungsinstitute, Wissenschaftler, Forscher und Erfinder aufgeteilt, hierzu werde ich ein Finanz Team zusammenstellen.
Wir sind alle Menschen, wir Leben alle auf diesen Planeten, lassen Sie uns gemeinsam Technologien und Möglichkeiten entwickeln, die wir uns heute eventuell noch nicht einmal vorstellen können.
Diese Plattform lebt wie wir alle, von stetiger Veränderung und Anpassung. Gemeinsam entwickelt sich diese Plattform durch uns alle. Und so werden wir Teil dieser Plattform.
Description
This project is a new type of research and an unprecedented global project that connects scientists, researchers and inventors in a way that has never existed before.
The data, which is crucial for research, is compiled internationally and is available to all researchers, scientists and inventors of this platform.
However, this is not just an international scientific project, it also includes a sociological project. It is a triple scientific project that has a great future. Ask yourself the question of what progress we can make in all areas of research if, instead of 200 scientists, 50,000 scientists, researchers and inventors research the projects together. With an incredible range of knowledge and ideas Thum bundled on a platform for the benefit of all people. The planning and organizational measures result from the association of international scientists, researchers and inventors. With the help of this platform, they organize virtual meetings to conduct research. Data is analyzed by a team of experts and integrated into the platform, so that everyone on this platform is always up to date with the latest research. Users of this platform also have the opportunity To propose a certain page, for example a research institute, to our team and after an examination by a team and consultation with the operator of the page, this is intrigued, and research institutions can have your page integrated so that all users on the platform see the information on the page The good thing about this platform is that users can organize themselves, plan meetings and exchange information at any time. At the same time, users have the opportunity to publish their discoveries internationally with all users of the platform.
Who is actually behind this whole campaign?
My name is Michael Rhein, I managed the patent exploitation TIZ-NORD Wilhelmshaven Technical Innovation Center for Research and Patent Exploitation. When the pandemic started, I thought about the options for dealing with this crisis as quickly as possible. So in the beginning I looked for solutions on my own until I noticed that the solution can be found right here. Because of this, I thought about how I could bring as many people as possible together to find a solution together. However, it was clear to me from the beginning that this would only be possible with experts in the fields of science, research and the inventions or medical means of the inventors resulting therefrom and so I developed the project of the research platform. I was aware that this would and will present me with enormous challenges, but I will be able to master these together with everyone.
What about the rights?
I have long considered how to organize the legal part of this platform. Now I have found a solution for this too. All those who register on this platform simply agree that the rights to the research results made on the research platform, inventions for the benefit of mankind, to all users registered on the platform who are involved in the creation of this invention, solution or the research results are evenly distributed . This is an optimal solution for doing research together. To implement this regulation, users accept the general terms and conditions of the platform, in which all legal points are defined.
What does it look like financially? Who finances the whole thing?
This platform is not about making the greatest possible profit, rather it is about developing things together that can avoid such a situation as Coovid-19 or at least bring about a quick solution. I try to get political funding from the governments from which the scientists, inventors and researchers come, which are then distributed to the respective research institutes, scientists, researchers and inventors, for this I will put together a finance team. We are all human beings, we all live on this planet, let's develop technologies and opportunities together that we may not even be able to imagine today. This platform, like all of us, lives from constant change and adaptation. Together we all develop this platform, so we become part of it.
Built With
css3
deutsch
englisch
google-analytics
google-translate
japanisch
javascript
php
php5
russisch
spanisch
strato
weltweit-alle-spachen
zoom
Try it out
forschungsplattform.com | Internationale Forschungsplattform Research platform | für weltweit alle Forscher, Wissenschafer und Erfinder for everyone Inventor researcher and scientist | ['Michael Rhein', 'Carola Günther'] | [] | ['css3', 'deutsch', 'englisch', 'google-analytics', 'google-translate', 'japanisch', 'javascript', 'php', 'php5', 'russisch', 'spanisch', 'strato', 'weltweit-alle-spachen', 'zoom'] | 25 |
9,876 | https://devpost.com/software/covid-19-guide-to-masks | Make your own mask page.
Work in progress.
Our homepage.
There is not an inspiring backstory for our project; we did not have to dig deep to come up with an abstract idea - the problem that we should work towards solving was glaringly obvious.
In the pressing challenges that everyone in the world is facing right now, the strengths and weaknesses of many institutions and industries are being revealed: and mainstream media is no exception. This situation has highlighted the distinctive power of social networking and broadcasting: truly a double-edged sword - with the ability to inform multitudes but the downfalls of having conflicting information and getting lost in the wealth of resources.
Even when browsing through one media platform, there are hundreds of videos on social distancing regulations and mask instructions. It can be confusing for families with the best interests of their health in mind when there are so many sources claiming to be the “best”, and it is especially hard to find masks using materials in the household.
From personal experiences in our own households, we thought that it would be helpful to have a straightforward guide that organizes information: instead of scrolling through many links with different mask styles and materials, having a resource where you can utilize what you have at home.
We hope that this website will support families in their quarantine and distancing efforts: decrease excess anxiety about not having all the information, and encourage families to be resourceful instead of hoarding or going outside to buy materials. An estimated 25% of people infected do not show symptoms, and although masks will not protect its wearers from the virus, it can prevent the transmission to others, and more importantly, normalize the wearing of protective equipment.
We are aware that our website is not the most innovative concept: we simply want people to have an approachable way to make their own masks and get involved in their community.
Built With
css
html
javascript
Try it out
shreyas.codes | COVID-19 Guide to Masks | With all the information about personal protective equipment online, we have created a website where people can find mask instructions, scientific resources, and straightforward donation procedures. | ['Chris Jung', 'Luke Qiao', 'Shreyas T'] | [] | ['css', 'html', 'javascript'] | 26 |
9,876 | https://devpost.com/software/safeplace-jio647 | raspberryPISideAngle
raspberryPIFrontAngle
DiscordBotInAction
SafePlaceHomePage
SafePlacePortfolio
SafePlaceAboutPage
SafePlaceLocationInput (manual and automatic)
SafePlaceDiscordChatBox
fireBase
GoogleMapsWithMarkers
Inspiration
Due to the Coronavirus, going grocery shopping has become more dangerous and challenging than ever for the everyday person as it puts the heath and safety of themselves and their families at risk. So, we created the SafePlace which uses hardware, web app and chat bot to make shopping during COVID-19 safer and more efficient.
What It Does
SafePlace uses a combination of hardware, firebase and two types of front end softwares (the web-app and chat bot) to interactively show regular people the locations, open/closing times and most importantly, the danger ratings of all of the stores around them. Our Raspberry Pi hardware uses computer vision to track people entering and leaving through a door. It then feeds that information to our two front end software (web app and Discord chatbot). There front end softwares display a variety of information, the key one being the danger rating of the store (chances of getting Corona) which is rated on a star system out of 10 and calculated using the formula 10-3-(square feet/number of people*3.14/1000). Ultimately, our mission is for you to feel safe during these times of distress.
How We Built It
First, we applied the Raspberry Pi 4, its Camera Module, and OpenCV to create a low-budget potential solution to the CDC’s recommended social distancing. By using a people-counting tracking system that can detect the number of people going into and out of a doorway, we are able to track how many people enter into a particular area. By recording the square footage of the building, we are then able to calculate the safety rating of the store, which basically says how far apart people are. Next, we linked that Raspberry Pi to a firestore that collected information about how many people are in the building, name of the building, location of the building, time and the square footage of the place. By using our web app, users can see the locations we are measuring on them around the map, and can check, based on our ranking system, which places are currently safe to go to and which ones are not. If a web app was not enough, we also created another piece of software, a Discord chat-bot, which provides another user-friendly front-end to our database’s information.
Challenges We Ran Into
We faced many challenges with our computer vision, which ultimately remained limited to the physical space of our Raspberry Pi hacker Justin. While our computer vision can successfully track people entering and leaving in a pre-recorded video, an appropriate viewing angle could not be achieved in-home, but we were are able to clearly demonstrate that the Pi Camera Module can be used, and that it does track humanoid objects like a LEGO figure. Furthermore, we had great difficulty coordinating the back-end server from Firebase with both the Raspberry Pi and the two front-ends. In addition, while creating the web app, one of the main difficulties was that we did not know how to add markers to the google maps that displayed all of the relevant real time firebase information. However, eventually, through a bunch of stack-exchange browsing, some old YouTube videos, and most importantly, sheer persistence to keep trying different solutions as a team, we were finally able to figure out the answers to these obstacles.
Accomplishments that we're proud of
Whether we win or lose this competition, we will surely be proud of ourselves for building such an extremely useful and interactive project from scratch. The feature of our project that we are most proud of is how fluent the interactions between our firebase, hardware, and two front-ends are. It was all of our first times creating such a complicated project and we are proud that we could have accomplished it.
What We Learned
We learned a lot of stuff during this competition including how to build a computer vision program using Raspberry Pi, how to create and connect a realtime database with both hardware and software and how to use Google Maps with React JS.
What's Next For SafePlace
Now that we have created our project's hardware, back-end and front-end, we want to publish our products and start commercialising this project with retail stores, shopping markets and a variety of other retailers to keep everyone safe and secure.
Other links
Google Slideshow
Built With
bootstrap
discord.js
firebase
firestore
html
javascript
node.js
raspberry-pi
react.js
Try it out
github.com | SafePlace | Our motto is Maintaining Our Social Distance Through Computing Vision. Inspired from the COVID-19 outbreak, we created a web app which determines your safety risk level in a certain, desired store. | ['Ayan Sayyed', 'jparrondo24 Parrondo', 'Dhir Kachroo', 'Mihir Kachroo'] | [] | ['bootstrap', 'discord.js', 'firebase', 'firestore', 'html', 'javascript', 'node.js', 'raspberry-pi', 'react.js'] | 27 |
9,876 | https://devpost.com/software/aqua-x5qcbz | Barcode for Downloading the App
Inspiration
Problem: So many times it happens that when mothers (or anyone for that matter) are filling buckets of water to clean the house, filling water bottles, filling utensils with water, they unknowingly let the tap flow. And this adds on from household to household, resulting in 45 trillion gallons of water wasted annually due to overflowing of water from taps in sinks, showers, bath tubs, toilets and washing machines!
Solution: Developing an original mechanism to automatically switch off taps when they overflow through use of an ultrasonic sensor and a “tap filling” mode which can be enabled from the app. This seems like a problem that must have been addressed, but a quick google will tell you that this has NEVER BEEN DONE BEFORE.
Problem: A problem that often goes unacknowledged is how redundant the process of handwashing is. You have dirty hands and open the tap with them (making the tap dirty), after washing you use your hands to again touch the dirty tap you touched with your dirty hands initially, essentially making it redundant (as your hand gets dirty again). This has become especially important due to the onset of the SARS-CoV-2 Pandemic. 45% of the millions of cases worldwide are caused due to direct contact with surfaces such as taps. There are approximately 1,000,000 bacteria/cm^3 on the surface of the faucet. Hence, making it all the more necessary to address these issues of sanitation and human health.
Solution: Using automatic tap control to avoid touching the tap and thus preventing contact with pathogens. This concept of automatic control is not new on its own, but my device is much cheaper and can be installed on outdated taps (whereas the ones present currently require you to replace the old tap), making it more practical. There are technical advantages also as ours works even during a power outage whereas existing automatic taps don’t.
Problem: How many times has it happened that when you are out on a trip your mom suddenly worries over whether you closed the tap in your bathroom or not. How many times has it happened that you yourself let the tap running either while brushing or just forgot about it. This produces a lot of water wastage and thus must also be addressed.
Solution: Due to the automatic nature of the tap, it automatically closes the tap if no one is using it, saving a tonne of water
Problem: There are so many houses (in developing and underdeveloped countries) around the world that do not know their water consumption and as a wise man once said “Awareness is the greatest catalyst for change”, it is necessary that they are made aware of this.
Solution: This lets them measure their tap water usage through water flow sensor and the app
Problem: More water is used than is actually required for most tasks as the water is dispensed inefficiently and in bulk
Solution: Using a water atomiser (by changing nozzle size) to increase water surface area, results in less water required for the same task, hence saving water. It reduces the volume of water dispensed per minute.
We do not believe in massive changes, we do not believe in large scale infrastructural changes, we believe in inculcating long standing habits in our users to promote environmental sustainability ideals across the world. We believe in promoting water conservation, improving sanitation, and making lives easier.
This is easily scalable and we estimate it to cost about $15.30 per unit, making it cheap.
What it does
Project Features
1) Automatic Tap Control
2) Prevents Overflowing Vessels
3) Measures Water Usage
4) Water atomiser (helps in using water efficiently as it turns droplets into mist)
5) Dispensing the exact amount of water needed for tasks such as cooking and gardening. Next time, you are out on a trip, you do not have to worry about who is going to take care of your plants, as this tap extension would do it!
6) Provide analytics based on water usage, give trend graphs etc. Through the app, giving them badges, setting up challenges with their friends/family to compete on reducing water usage (making the process fun and like what smartwatches have done to health). In other words, we aim to do something like what smart watches have done to health and well being (through fitness apps) to water conservation in a manner that incentivises the user and does not make the task of conserving water seem like a burden on them
How we built it
Project Parts
1) 2 infrared sensors, 1 ultrasonic sensor, 1 water flow sensor, jumper wires
2) HC-06 Bluetooth Module and Arduino Uno, Arduino Shield, Servo motor
3) Plastic Bottle, Glue Gun, Soldering Iron
4) Syringe, Delivery Tube, U-pin
It was built using Arduino and MIT App Inventor
Challenges we ran into
Developing the code for the ultrasonic sensor was particularly difficult. While building the hardware there were some difficulties but in the end we managed to pull things together and make it work. Coming up with a mechanism for water atomisation
Accomplishments that we're proud of
The coding and the idea we were able to come up with, as we believe it has a real world impact if implemented.
What's next for Aqua
Taking it to the next level, expanding its use, and turning it into a product present in every household :)
Link for Code Explaination:
https://youtu.be/unqXFTuVDGg
Demonstration with Normal Speed:
https://youtu.be/q-slybShMY0
Link for app has been attached below.
Built With
arduino
mit-app-inventor
Try it out
create.arduino.cc
docs.google.com
drive.google.com
docs.google.com | Aqua | Our product is a faucet extension that turns your ordinary tap smart and helps you conserve water (UN SDG 6) and protects you from deadly diseases (UN SDG 3). | ['Shivam Garg', 'raiyaan bhombal'] | [] | ['arduino', 'mit-app-inventor'] | 28 |
9,876 | https://devpost.com/software/classroom-connections-7g9jqs | Inspiration
The recent crisis has taken a huge toll on the education of the young minds of America. All US schools have been forced to perform distance-learning, and this has caused two main issues to arise: lack of personal connection between students and teachers, as well as increased stress on students. Many teachers are only accessible by email, and therefore this lack of personal connection makes remote-distance learning no different from an online course that can be found on Youtube or Udemy. The need for social connection between classmates and teachers is essential for a student’s learning and current remote environments do not accommodate for this. Moreover, many students’ families are in financial turmoil and therefore students are under pressure to not only maintain high grades in school but also to help with putting food on the table, decreasing the amount of time they have for schoolwork and increasing their stress.
Nowadays, chat rooms are widely used in friend groups because they help virtually bridge the distance between the homes of friend groups and we believe a chatroom can have the same effect on a classroom as well.
What it does
Because of this, we created Classroom Connections, an anonymous classroom mobile chat app with unique features that promote open communication between teachers and classmates, improving the learning experience and altogether reducing stress for students. The chatroom is completely anonymous to students to prevent any aspect of social toxicity and competition. Students can express their emotions and questions to the class without any worry of peer pressure, promoting a safe environment where people aren’t afraid to ask for help. Specifically catering towards an educational environment, our app also introduces students to an extremely user friendly question & answer system where questions can be answered efficiently with correct answers being marked by the teacher. Another built in feature is the conflict calendar where students can input days which they believe they have the most work and teachers can see the percentages of which days the class does not prefer to have work to be due. This will establish a subtle form of communication between teachers and students and ultimately allow teachers to demonstrate their genuine care about their students’ stress levels and mental wellbeing. All of these features can bring together remote classes in a welcoming way much needed in the situation of our society today.
How I built it
We built Classroom Connections in the Xcode engine with the language swift. Much of our app is built off of creating a Table View, and customized cell with proper constraints to display a appropriate ordering of listing. A large part of our project was created with the Firebase API, which acts as a remote server where we stored our real time data. The authentication, the virtual classroom, and the conflict calendar all used the realtime database in Firebase as a method of storing, retrieving, and writing data. We also incorported third-party libraries with Cocoapods using Ruby.
Challenges I ran into
Some major challenges we faced were working with the user interface of our app, especially constraining the pieces of the UI such that it displays in an appropriate manner on iPhones with different sized screens.
Accomplishments that I'm proud of
We are extremely proud of the three main features in our app: Our Q&A system, the anonymous nature of our chat, and the conflict calendar. These were extremely complicated to implement with real time updating and took more than 2000 lines of code. Despite the technical complexity, each feature was also driven by research through multiple online social sources to address the most optimal learning environments. Tying these all together, we created a project with ideas backed up by credible sources to create something that will undoubtedly leave an impact on our current society if used properly.
What I learned
We grew a lot at this hackathon, as individuals and as a team. As individuals, we massively improved our proficiency with Swift,CoreML, and Firebase. As a team, we learned how to efficiently collaborate with each other and be open to each other's ideas. Moreover, we took a lot of time this hackathon to adequately plan out our idea before we executed on it, making the coding process a lot smoother.
What's next for Classroom Connections
Our first priority is making our app accessible to as many people as possible. Our first step is to upload our app to the app store to make our product publicly accessible to all iPhone users. The next step is going to be expansion onto the Android platform, as we are aware that a majority of smartphone users are on Android and therefore do not have access to our app. We plan to potentially launch a nonprofit reaching out to districts and asking if teachers would like to try out our app. We want to also create a website for our application which we will link to firebase in order to track our user base consistently and take input from teachers for any potential improvements we can make to the current app. This website will also act as an informational platform that can provide an official face for our app. We then ultimately hope to expand internationally, possibly using this project to aid distance learning in different countries around the world. We would do this by pushing our app to foreign app stores and adopting advertisement programs in foreign countries.
Built With
cocopods
firebase
swift
xcode
Try it out
github.com | Classroom Connections | The bridge between educational barriers during the era of the coronavirus. | ['Michael Peng', 'Gavin Wong', 'Ricky Wang'] | [] | ['cocopods', 'firebase', 'swift', 'xcode'] | 29 |
9,876 | https://devpost.com/software/titeknit-zh1vb7 | Inspiration
In this trying time, many families and seniors are unable to travel to get necessary supplies and groceries from the store because they do not have personal vehicles and there is lack of public transportation. In addition, many of us have extra items stored in our homes.
What it does
Titeknit is an IOS App which allows users to help others in their neighborhood by selling excess items or receiving necessary items by creating a wishlist which notifies them of available listings and delivers those that match their needs.
Challenges we ran into
Throughout this process, we did a lot of research and refining. Halfway through making the app, we realized that volunteers will not be able to travel too far to deliver the items, so we implemented the ZipCode Api to locate listings within the radius they specified they can pickup or deliver. In addition, we ran into a multitude of errors due to Xcodes recent updates. When testing our app, it would not sideload because of the recent XCode update. Eventually, we got it running and are proud to have a delivered, working prototype.
We learned
We learned how to utilize Firebase Database, Stripe Payment API, Zipcode Api, Apple’s CLLocation Library, Swift’s UI Tools, protocol & delegates, push notifications, and node.js backend.
What's next for TiteKnit
Next, we will advance our volunteer page by including tasks to complete in order to deliver the items to and from the homes that need the items. Thank you!
Built With
cocoapods
firebase
node.js
swift
xcode
Try it out
github.com
docs.google.com | TiteKnit | Titeknit is an IOS App which allows users to help others in their neighborhood by selling excess items or receiving necessary items by creating a wishlist that delivers those that match their needs. | ['Hiya Shah', 'Siddhan Shah'] | [] | ['cocoapods', 'firebase', 'node.js', 'swift', 'xcode'] | 30 |
9,876 | https://devpost.com/software/bio-tech-industries-bio-tech-locator | Front/Home Page where the zip-code (90210) is entered. There is a drop-down menu available for specifying which center the user wants.
This shows the map and three nearest locations of biotech centers to the zip-code entered in the previous page.
Inspiration
First beginning our project, we found ourselves aimlessly searching for ideas that would cover the topics of Biotechnology, Environmental Sustainability, or COVID-19 research. It happened almost suddenly, however, we began to speak about our likes and dislikes: we found our common interests lay in wanting to delve deeper into ways we can impact, specifically, disadvantaged individuals. One of our group members had shared a personal story about her family member looking for a center that fell under the category of biotechnology, and the obstacles they had faced in their pursuit of help. We settled on this idea because it seemed the most personable for us; it combined both our love for helping others and the personal connections each of us held to this topic. Ultimately, our aimless searching allowed us a more introspective look towards what we wanted to create and implement as programmers.
What it does
Our program is, as stated above, aimed to locate the nearest biotech centers that deal with genetic testing, prosthetics, crime and forensics, and pharmaceutical procedures. The user must input a zip-code into the text box as well as specifying which type of biotech center to locate the nearest locations under that type. Currently, since our program is still a prototype, the only zip-code that works is for the Beverly Hills, CA area (90210). So to test this program fully, we recommend using this zip-code for the time being (other zip-codes have yet to be implemented).
How I built it
We built this program first by using pseudocode to get the "gist" of what we wanted to do. In the beginning, we established our main variables: the zip-code, location, and center. Next, we wanted to make sure that the user would be able to pick their preference of biotech centers (ie. prosthetics, genetic testing, etc.) from a dropdown menu depending on their location/zip-code. We utilized the UIs from App Lab such as the buttons and dropdowns to make our program a bit more intuitive and more functional. We used the aerial images of maps to pinpoint exactly where these locations are at (using the zip-code 90210 of course).
Challenges I ran into
There were quite a few challenges that we had run into, especially with a program like this. First of all, the biggest challenge was the time constraint; my team and I wanted to develop an elaborate system that performed in real-time, but our ambition would not have made sense during the span of a mere two to three days. So instead, we had to compromise and develop a program that would deliver our intended message across, despite it not being 100% fully developed. We also had some trouble implementing the map images and defining the exact locations but we made it through with our collaborative teamwork.
Accomplishments that I'm proud of
As a team, we are proud of being able to develop a program such as this one albeit being quite new to programming. I speak for most of my team when I say that this is our first Hackathon, so being able to join the ranks of other proclaimed programmers had allowed us to break down the fear of "not belonging"--we took a leap of faith, and I believe that is an accomplishment in and of itself. We are also very proud of being able to develop something in a short amount of time that adequately conveys what our intended goal was. We also worked as a team throughout all of this, our disagreeing and agreeing and our synchronized thinking processes allowed us to reach this final product for the time being.
What I learned
I believe that as a team we have learned how to maneuver a challenge such as this one through collaboration. In order to have gone through this process, we realized that we had to utilize each person's strengths in order to come about and create a project such as this one. We learned about new ways we could go through the coding process as well: we first developed a plan then drafted it using pseudocode, coded out first test-run and then began debugging until we felt as if it was perfect for what we intended to create. This programming challenge allowed us to grow as programmers and as team players.
What's next for Bio-Tech Industries: Bio-Tech Locator
We hope that Bio-Tech Industries: Bio-Tech Locator will grow and expand into a mobile app that will be able to utilize the user's location/zip-code automatically so that whatever center they are looking for may be located with ease. As this program only runs as a prototype (using the zip-code 90210), we want to make the scope of the app apply to more people, especially those from disadvantaged backgrounds. We hope that this app will also enlighten quite a few people: if there are fewer areas around less affluent locations, then that sends a signal to others that these places may require more resources to help them. We hope that this will legitimately help those who are in desperate need of searching for certain biotech centers in order to help themselves, friends, or family. If chosen, we will use the funds we receive in order to further our research and our production of the application to help more people.
Built With
app-lab
code.org
javascript
Try it out
studio.code.org | Bio-Tech Industries: Bio-Tech Locator | The goal of our project is to implement a program that will allow users to locate the nearest places that deal with genetic testing, prosthetics, and other bio-tech industries based on a zip-code. | ['Mohamed Elhassan', 'Jaden Thomas', 'Jed Quiaoit', 'Mia Ginsberg'] | [] | ['app-lab', 'code.org', 'javascript'] | 31 |
9,876 | https://devpost.com/software/stacy-bot | Interface in FB messenger
This representation of NLP
Features which will be added more as time goes
PLEASE NOTE THIS IS A TEST BOT, AS PUBLISHING AND VALIDATION TAKES TIME, SO IF U WANT TO USE THIS THEN U NEED TO BE THE TESTER. BUT U CAN USE THE PHONE CALL FACILITY.
CALL AT: +1 463-221-4880
(This is a toll-free number based in US, if you are out of US then only minimal international charges will be applicable, I am from India and it takes 0.0065$/min)
If you want to use this app in your Facebook Messenger like shown in the video then please comment your Facebook ID in this project's comment section, I will add you as a tester to this app
IT IS JUST AN WORKING DEMONSTRATION OF MY IDEA TO TACKLE THE PROBLEM, IT CAN BE MADE AS PER THE DEMAND OF ANY ORGANISATION. AND THE BEST THING IT IS NOT A CONCEPTUAL IDEA IT IS TOTALLY A REALISTIC IDEA THAT CAN BE DEPLOYED AT ANY MOMENT ACCORDING TO THE DEMAND OF THE ORGANIZATION
Our Goal
General Perspective
Due to the situation of COVID-19 the work force of the world is decreasing(since everyone is maintaining self quarantine and social distancing ), which is creating a big havoc in the world, through this project of mine, I mainly target to tackle this problem and help the health organizations with a virtual workforce that runs 24*7 without any break, and handles all kind of mater, starting from guiding the people to fill up the forms to managing the data of the patients automatically and all-together.
Business Perspective(if required)
Bot service (it is not a company yet, I am just referring to the thing that we want to build or start this company, we are student developers right now) which adds a virtual work force to every client organisation to bloom in the market. In business perspective Our potential business targets are small business,NGO and health organisations and we help them to be free from human service cost and help them to grab more users by providing 24*7 interaction with there users, thus generating more revenue for them.
Inspiration
I really got inspired for making this advance A.I bot by seeing the current COVID-19 situations, because of these COVID-19 situations people are restricted from gathering hence work force and user interaction of various health organisation are diversely effected. Through this project I aimed to connect the health organizations with the patient anywhere in the world,using any platform(not limited by android, ios or Web). And also manage the data of the patients automatically thus reducing human effort and maintaining social distancing.
MADE THIS PROJECT TO BRING A CHANGE
.
How is our product different than others
1)
There are many types of A.I bots,where most of them are Decision tree based models that work with particular buttons only,our products will be totally based on NLP based models,which are more advanced and are in higher demands than others.
2)
Other service A.I bot service providers are confined to only 1 or 2 platforms, whereas we at the same time are providing advantage to the client to choose from a large scale of platforms like FB messenger, google assistant,slack,line,website bots and even in calls
3)
For the health organisations that are willing to buy our technology (We are also willing to donate this tech for free), from business perspective we will also be cheaper than our other competitors, when others are taking near about $3300/year for the service, we are doing it in $100-$1500 one-time fee range with more versatility.
It will totally be free for any user using it, no charges will be applicable for users
What it does
Our bot provides the power to every health organisation at such situations of COVID-19 by managing the screening,testing and quarantine data and also connecting the persons that are willing to do the test with the help of diversified digital platforms. In cases where internet is not working (where other bots won't function) still our bot works inside the phone number thus providing fruitful results in such situations.It basically covers all important aspects of an advanced A.I bot. It also connects the health organisations with volunteers that are willing to donate their time as helping hands in this hour of need.
How I built it
I built it using Google cloud A.I solutions, Google cloud Dialogflow framework(which includes automatic firebase integration) where I trained the bot with NLP with huge datasets from WHO and government and then integrated it with the Facebook messenger through Facebook Developer account. It is also supporting Phone call facility
Challenges I ran into
I had to go through many challenges, starting from being a solo developer, I really had to face a lot of problems as making such a complex app which all the advanced features as mentioned, all these things together cost me a lot of sleepless nights but i hope my hard-work pays off
Accomplishments that I'm proud of
I am really proud of the app that I made because it itself is a big milestone for a solo developer like me.
What I learned
I learned a lot of things through out this journey of developing this app, starting from advance use of Google cloud A.I solutions, Dialogflow and integrating it to Facebook messenger, making filters inside the chat-bot to enhance user experience etc.Connecting it with a phone number to receive phone calls etc.
What's next for Health Bot
If my work gets selected, then for sure I am going to work really hard to make Health Bot even bigger and to add more amazing functionalities to make my users happy.
Built With
dialogflow
facebook
google-cloud
javascript
json
Try it out
github.com | Advanced A.I Health Bot | An A.I bot with: Telephone calling,NLP,24*7 health coverage,total automatic data management,wipes rumors,Easy navigation,HD pictures,Customer service help etc | ['Udipta Koushik Das'] | ['Accessibility: Second Prize', 'Healthcare: Second Prize'] | ['dialogflow', 'facebook', 'google-cloud', 'javascript', 'json'] | 32 |
9,876 | https://devpost.com/software/carbon-footprint-calculator-f6wmeg | This is the first introduction page
This is the final results page
Inspiration
We were inspired by the current environmental crisis on global warming and wanted to know how people could make meaningful changes by themselves.
What it does
It gets inputs of basic lifestyle information, computes it into a carbon footprint number and shows differences from the US average and how to improve your own carbon footprint.
How I built it
Using Java
Challenges I ran into
Calculating the exact amount of Carbon emissions for different categories was challenging to find.
Accomplishments that I'm proud of
We are proud of having a fully functioning calculator which does and fulfills its purpose.
What's next for Carbon Footprint Calculator
Implementing a better UI and potentially AI-based recommendations into how it can be used to pinpoint points that the client can improve on to have a minimal carbon footprint.
Built With
java
Try it out
github.com | Carbon Footprint Calculator | This is a calculator in which people can easily enter basic information, get an idea of their carbon footprint and how they can improve it. | ['Seth Stemodity', 'Avi Avinav'] | [] | ['java'] | 33 |
9,876 | https://devpost.com/software/the-first-one-is-pandemic-collection-and-other-is-covid-run |
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Am de Felix
Inspiration
Pandemic
What it does
Collection of pandemic
How we built it
Frameworks
Challenges we ran into
Money challenge
Accomplishments that we're proud of
We work
What we learned
Feel
What's next for The first one is pandemic collection and other is covid run
Built With
alohar-mobile
Try it out
felixonyi555.wixsite.com | The first one is pandemic collection and other is covid run | To Help stop spreading of covid19 | ['FELIX Okechukwu'] | [] | ['alohar-mobile'] | 34 |
9,876 | https://devpost.com/software/covid-xn8iow | Inspiration
In November 2018, we competed in the Congressional App Challenge in U.S. Representative Eddie Bernice Johnson’s congressional district. Since we had numerous relatives who have Alzheimer’s Disease or other forms of dementia, we were inspired to combine our passions in community service and technology to design an app for Alzheimer’s patients. Following two years of refinement and development, we won our district’s Congressional App Challenge. The U.S. House of Representatives invited us to go to Washington, DC, to present this app to the U.S. House of Representatives (
link
.)
The rising impact of the COVID-19 outbreak on a community, regional, national, and international level inspired us to use our mobile app development experiences to find a solution that addresses major areas of the problem. As children, we realized that isolation and social distancing could lead to stressful situations for numerous individuals, particularly children. As a result of this, we learned that children who live in an abusive situation are at more substantial risk. This risk is especially significant due to the isolation that COVID-19 mandates. We realized that community members need to have a greater awareness of the signs and symptoms of child abuse and neglect during this stressful time and the numerous resources available to the children who fall victim to subsequent maltreatment. This risk, experts have shown, could result from isolation, lack of answers, lack of structure to the day, and the lack of things to look forward to - all effects of COVID-19.
As students, we believe we can impact society, big or small, with our idea. Technology is indeed the future, and we need to make sure that we adopt the tools that we use to help, entertain, to assist child abuse victims in being very reflective of these advances. Furthermore, we hope to use our application to inspire and encourage other involved students in our district and even around the state to get involved in coding and also develop their apps for problems that are personal to them. If we were to win the competition, we plan to continue to use our platform to help further encourage and inspire others and show other legislators the importance of the problem we are trying to address.
What it does
Our application, Coaware (COVID + Aware), contains a questionnaire/checklist consisting of eight questions designed in collaboration with child abuse prevention experts such as the Baltimore Children's Advocacy Center.
The checklist contains a different method for users to organize their thoughts but contains the same question format. Next, the app provides an option to provide the user with child abuse prevention hotlines or children's advocacy centers. If the user toggles this option, the app will provide these resources based on their location.
However, according to many experts, Coaware's most important feature is its generation of
email logs
. These logs provide users with a method to organize their thoughts, allowing them to access a particular child's responses from weeks or even months. When the user reports child abuse, they can detail previous dates alongside specific symptoms of child abuse the child was exhibiting at the time.
How we built it
We built our application using Java and XML in Android Studio. We used a relative layout format with tab-based fragments for the first tab and a corresponding layout design with intent fillers for the second tab’s functionality. For the user interface, we utilized AAA contrast for the vast majority of the app to enhance usability and readability for all users.
Challenges we ran into
Our first significant difficulty was to make the application and user-interface simple enough to be operated by any individual. We had to navigate and test out various fonts, image sizes, color combinations, and table setups to make sure that the app was clean and simple to operate without compromising the usefulness of its features.
The second technical challenge we faced in creating the application was making sure that it would be functional across various Android Platforms. The problems that we ran into would vary from device to device, so it was challenging to come up with a solution that worked for every single one and didn’t create problems of its own. We ran several tests on a variety of Android emulators and tested the application on a wide array of personal devices and were eventually able to come up with a solution that worked across the boards. This process was eye-opening for us, as we never realized how seemingly small changes could have drastic impacts on different devices.
The final challenge we are currently dealing with is getting Coaware into the hands of the people who need it the most. We are currently in discussions with schools and children's advocacy centers to accomplish this task.
Accomplishments that we’re proud of
Some accomplishments that we’re proud of deal with our app for Alzheimer’s patients, AlzBuddy, which inspired us to make this app. The U.S. House of Representatives invited us to showcase AlzBuddy to them in the U.S. Capitol Building. Individually, numerous State and National Congresspeople have invited us to demonstrate our application. Fox 4 News also interviewed us (
link
). AlzBuddy was also named the 1st Runner-Up in the national Diamond Challenge at the Sam Houston State University Pitch Location. We are also proud to have many downloads after approval of our application onto the Google Play Store. We want to use our experience and success to continue to propel Coaware to help children globally. Additionally, our group was named Conrad Innovators by the Conrad Foundation for both AlzBuddy and Coaware.
What’s next for Coaware App
Overall we are delighted with our final product, and we were able to make a lot of improvements from the last app we created to this one. That said, we would always love to be able to improve the app even more, and we know that there are improvements to be made, we just didn’t have the time to make all of them. We know that we can always improve, incorporate more valuable feedback, and learn from our mistakes. One challenge that we would have to face if we decided to develop the app, however, would be maintaining a clean, simple interface despite having more functions. In this specific field, we have to understand that less is sometimes more. Potential technological additions will include modules and relaxing games for child abuse victims, networks for victims to share their stories in a peer-network, as well as possible chatting services within the app in partnership with abuse hotlines.
We are currently in the process of publishing our application in the Google Play Store as well as developing an iOS version of our app. In addition to this, we are working on collaborating with various non-profit organizations that specialize in child abuse awareness at a community and regional level. We have objectively networked with various legislators to start district initiatives and launches of our application.
Success in this global hackathon will help us launch Coaware worldwide to protect the thousands of children that fall victim to child abuse.
We are also looking to expand our app to other areas, such as domestic violence, whose rates, unfortunately, skyrocketed during the coronavirus pandemic.
Built With
android-studio
java
xml
Try it out
play.google.com | Coaware | Our application, Coaware (COVID19 + Aware), has functionalities designed for emergency situations regarding child abuse prevention, a rising social issue due to increased isolation from COVID-19. | ['A B', 'Vedant Tapiavala'] | [] | ['android-studio', 'java', 'xml'] | 35 |
9,876 | https://devpost.com/software/alois-memory-care-assistant | Features
AlzBuddy is an interactive memory care assistant designed to improve the lives of Alzheimer's patients around the world. The tool is particularly useful in nursing home settings and applications. The tool itself has 6 main "tabs" with specific functionalities aimed to improve multiple facets of the patient's life.
The first tab is the "Sounds" module. The Sounds modules contains a variety of songs and commercials from the 1960s and 1970s that can help jog the memory of Alzheimer's patients. The app also contains common animal sounds, which is a great activity to help the patient remember various aspects of common life effectively.
The second tab of the app is the "Game" module. The Game module contains an interactive coloring game designed to help Alzheimer's patients with coordination and focus. The game itself was recommended by a medical doctor with decades of experience in the field. The game requires users to color corresponding buttons based on a provided task.
The third tab of the application is the "Notes" module. The Notes module contains a page that allows users to type in different reminders, messages, or statements easily. The module also includes a speech-to-text feature for patients who may prefer not to type or unable to do so. The notes can easily be cleared as well.
The fourth tab of the application is the "Facts" module. The Facts module of the app contains different information that is aimed at helping to orient the user in their surroundings. The facts page includes the date, the time, and the location, based on detected values. It additionally includes a simple image that helps point important directions for orientation purposes.
The fifth tab of the application is the "Pictures" module. The Pictures module of the app includes pictures of various world leaders, famous locations, celebrities, and more. This is designed to help jog the memory of the patient and generally serve as a talking point for 1-to-1 caregiving. The module also has a button that helps the user go to their gallery efficiently.
The sixth tab of the application is the "Vibrations" module. The Vibrations module contains soothing vibration patterns that are aimed at engaging the patient and providing tactile input. This is a simple module that works with the click of a button.
Events
We are also going to several events soon to market our app further. One event we are going to is an event near Austin, TX in August 2021. Over 700 nursing home and healthcare professionals are expected to show up, alongside several hundred potential consumers. The event is specifically about Alzheimer’s Disease and dementia, which increases the likelihood that the individual people can either become users of our app or tell a loved one who has dementia to use Alois. This event will be a significant event in terms of marketing for Alois. Many nursing home chains in Texas have nursing homes outside of Texas and even outside of the United States. If we become acquainted with these nursing home chains, we can expand to other nursing homes in the nursing home chains outside of Texas and internationally.
What's Next
There are multiple key additions we are planning to make to the application in the future. These new features will be designed to expand the functionalities of the app to be more useful for broader market groups and diverse communities.
The language-expansion of the application will involve the addition of new languages, including Spanish, Hindi, Mandarin Chinese, and French. We are working with volunteer translators to make this happen, and this will generally aid us in expanding to diverse marketplaces across the world.
We additionally are looking into new modules in the application that could do the following: assist caregivers specifically, add features for later-stage patients, allow for greater interactivity, and provide higher-functionality games and visuals.
Finally, we are looking into the general market-expansion of the app for new cognitive disorders. This would include expansion into new conditions like Parkinson's, general dementia, and Traumatic Brain Injury. It also would include rebranding initiatives to attract patients and diminish stigma and greater module customization and interactivity
assistive gadgets/plug-ins to enhance the experience.
Built With
android-studio
java
xml
Try it out
play.google.com | AlzBuddy - Memory Care Assistant | Our application provides a user-friendly and straightforward way to assist, entertain, and engage dementia patients around the world. | ['Vedant Tapiavala', 'A B'] | [] | ['android-studio', 'java', 'xml'] | 36 |
9,876 | https://devpost.com/software/covidpro | COVIDPRO19 is an app that combats the corona virus by enabling hospitals to request members of the community for much needed medical supplies. Many people are unsure on how to help. People who 3-d print face protection and make masks at home can effortlessly contribute towards combating corona virus through the use of this app. Hospitals can simply update their needs in the app when they require much-needed medical supplies. With the CORONAPRO app, another life will not be lost unnecessarily.
Built With
sketch
swift | COVIDPRO19 | COVIDPRO19 is an app that combats the corona virus by enabling hospitals to request members of the community for much needed medical supplies. | ['Arjun Balaji'] | ["House MD's Best Friend"] | ['sketch', 'swift'] | 37 |
9,876 | https://devpost.com/software/covid-19-estimation-online-test-based-on-lung-sound | Inspiration
Inspired from
https://voca.ai/corona-virus/
What it does
COVID-19 Sound Classifier
How I built it
Using ml5.js and p5.js function for classifying sound. Train data using the Teachable Machine
Challenges I ran into
Low accurate and has not been scientifically tested
Accomplishments that I'm proud of
This is an alternative approach to estimating COVID-19
What I learned
Sound classification can be used in other symptoms
What's next for COVID-19 Estimation Online Test Based on Lung Sound
Scientifically testing and built it in an embedded system
Built With
ml5js
p5js
Try it out
bit.ly
github.com | Covid-19 Estimation Online Test Based on Lung Sound | Covid-19 sound classifier project | ['Rachmad Imam Tarecha'] | [] | ['ml5js', 'p5js'] | 38 |
9,876 | https://devpost.com/software/autonomous-drone-delivery-system-wdfvy0 | Drone's POV with the model
Check graph title(shows accuracy of our model)
Math formulas we created to implement the probability model
An example of the object detection model MobileNet
Example of our data preprocessing
The architecture for our steering deep learning CNN model
The progression of our MSE over 25 epochs of training
See caption
Inspiration
The COVID 19 pandemic has affected all of us. Living in one of the epicenters of the outbreak in the US has been eye-opening. When we take a walk outside, no one out on the streets, playing in parks, or living their lives. Life at home has been even harder: buying groceries is frightening, purchasing necessities from online sites takes ages, and the entire online delivery system is strained and on the verge of collapse. People who are sick and in self-quarantine can not even exit their house due to the highly contagious nature of COVID-19. Likewise, the healthy and elderly are too scared to exit and buy essentials, such as food, due to fears of getting sick. Our project’s goal is to incentive everyone to stay home by making life a little easier and convenient. We want to return to normalcy as quickly as possible, and our method to aid social distancing, we thought, was the best way to accomplish this. Current autonomous drone navigation systems are neither robust or adaptable due to their heavy dependence on external sensors, such as depth or infrared, and we decided to take a deep learning approach and tackle both this and the COVID-19 problem together.
What it does
Using deep learning and computer vision, we were able to train a drone to navigate by itself in crowded city streets. Our model has extremely high accuracy and can safely detect and allow the drone to navigate around any obstacles in the drone’s surroundings. We also developed an app that allows users to communicate with the drone and send his/her coordinates to a real-time database.
How I built it
To implement autonomous flight and allow drones to deliver packages to people swiftly, we took a machine learning approach and created a set of novel math formulas and deep learning models that focused on imitating two key aspects of driving: speed and steering. For our steering model, we first used gaussian blurring, filtering, and kernel-based edge detection techniques to preprocess the images we obtain from the drone's built-in camera. We then coded a CNN-LSTM model to predict both the steering angle of the drone. The model uses a convolutional neural network as a dimensionality reduction algorithm to output a feature vector representative of the camera image, which is then fed into a long short-term memory model. The LSTM model learns time-sensitive data (i.e. video feed) to account for spatial and temporal changes, such as that of cars and walking pedestrians. Due to the nature of predicted angles (i.e. wraparound), our LSTM outputs sine and cosine values, which we use to derive our angle to steer. As for the speed model, since we cannot perform depth perception to find the exact distances obstacles are from our drone with only one camera, we used an object detection algorithm to draw bounding boxes around all possible obstacles in an image. Then, using our novel math formulas, we define a two-dimensional probability map to map each pixel from a bounding box to a probability of collision and use Fubini's theorem to integrate and sum over the boxes. The final output is the probability of collision, which we can robustly predict in a completely unsupervised fashion.
Challenges I ran into
We faced many challenges while creating our project, and two of the main problems were controlling our drone with a computer and optimizing runtime of our models. As for interfacing, the Parrot Bebop 2 drone is meant to be controlled with a mobile app that the Parrot company officially designed. However, there was no clear-cut way to control a drone with our computer, and finding a way to perform this took a lot much more effort and time than we had ever anticipated. We attempted using many libraries and APIs, the main ones include Bebop Autonomy, Olympe, and PyParrot. We first tried using Bebop Autonomy, a ROS driver specifically for Parrot drones and found that it wasn’t compatible with either of our computers. Then we discovered Olympe, which was a Python controller programming interface for Parrot drones and computers. We were able to get this working, but we found that the runtime of its scripts took too long and the level of complexity of its scripts was a little too much for us to handle. Finally, we found PyParrot and compared to Olympe the scripts were much easier to write and the API was overall a lot more user-friendly with a wide range of examples. Not only that, but it was open source meaning we could directly edit built-in functions, which was extremely convenient.
Another major challenge we face is runtime. After compiling and running all our models and scripts, we had a runtime of roughly 120 seconds. Obviously, a runtime this long would not allow our program to be applicable in real life. Before we used the MobileNet CNN in our speed model, we started off with another object detection CNN called YOLOv3. We sourced most of the runtime to YOLOv3’s image labeling method, which sacrificed runtime in order to increase the accuracy of predicting and labeling exactly what an object was. However, this level of accuracy was not needed for our project, for example crashing into a tree or a car results in the same thing: failure. YOLOv3 also required a non-maximal suppression algorithm which ran in O(n3). After switching to MobileNet and performing many math optimizations in our speed and steering models, we were able to get the runtime down to 0.29 seconds as a lower bound and 1.03 as an upper bound. The average runtime was 0.66 seconds and the standard deviation was 0.18 based on 150 trials. This meant that we increased our efficiency by more than 160 times.
Accomplishments that I'm proud of
We are proud of creating a working, intelligent system to solve a huge problem the world is facing. Although the system definitely has its limitations, it has proven to be adaptable and relatively robust, which is a huge accomplishment given the limitations of our dataset and computational capabilities. We are also proud of our probability of collision model because we were able to create a relatively robust, adaptable model with no training data.
What I learned
Doing this project was one of the most fun and knowledgeable experiences that we have ever done. Before starting, we did not have much experience with connecting hardware to software. We never imagined it to be that hard just to upload our program onto a drone, but despite all the failed attempts and challenges we faced, we were able to successfully do it. We learned and grasped the basics of integrating software with hardware, and also the difficulty behind it. In addition, through this project, we also gained a lot more experience working with CNN’s. We learnt how different preprocessing, normalization, and post processing methods affect the robustness and complexity of our model. We also learnt to care about time complexity, as it made a huge difference in our project. Finally, we learned to persevere through the challenges we faced.
What's next for Autonomous Drone Delivery System
Despite the many challenges we faced, we were able to create a finished working product. However, we believe that there are still a few things that we can do to further improve upon. To further decrease runtime, we believe using GPU acceleration or a better computer will allow the program to run even faster. This then would allow the drone to fly faster, increasing its usefulness. In addition, training the model on a larger and more varied dataset would improve the drone’s flying and adaptability, making it applicable in more situations. With our current program, if you want the drone to work in another environment all you need to do is just find a dataset for that environment. Currently, the drone uses its own wifi signal to communicate with the computer. This means that the drone could only fly as far as its wifi range allows it to. If we could move all the processing from our computer onto the drone however, it would give the drone an unlimited range to fly in making it even more adaptable in situations. Our GUI for our mobile app is pretty plain, and we hope to later implement and create a better app with a better and easier to use design. Lastly, integration with a GPS would allow long-distance flights as well as urban city traveling.
A self-flying drone is applicable in nearly an unlimited amount of applications. We propose to use our drones, in addition to autonomous delivery systems, for conservation, data gathering, natural disaster relief, and emergency medical assistance. For conservation, our drone could be implemented to gather data on animals by tracking them in their habitat without human interference. As for natural disaster relief, drones could scout and take risks that volunteers are unable to, due to debris and unstable infrastructure. We hope that our drone navigation program will be useful for many future applications.
Built With
keras
numpy
pandas
parrotdrone
pyparrot
python
tensorflow
Try it out
github.com | Using Autonomous Drones to Deliver Supplies During COVID-19 | A novel deep learning and computer created based drone navigation system by Allen Ye and Anant Bhatia to aid in autonomous delivery during the COVID-19 outbreak. | ['Allen Ye'] | ['1st Place', 'Best Drone Hack', 'Featured on Website'] | ['keras', 'numpy', 'pandas', 'parrotdrone', 'pyparrot', 'python', 'tensorflow'] | 39 |
9,876 | https://devpost.com/software/the-unstebel-mind-xhlyaf |
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FYI
Inspiration
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for The Unstebel Mind
Unstebel Guy
Try it out
www.facebook.com | The Unstebel Mind | Unstebel Guy | ['7rahul Unstebel Guy'] | [] | [] | 40 |
9,876 | https://devpost.com/software/arcade-tennis-game | Changing Game Board
After Changing Settings
Arcade-Tennis-Game
This game is mostly based on javascript
In this game You play tennis with bot.
you can set score limit according to you but when you start game then by default it will be 5.
you can change color of game board, paddle, ball in its settings.
after finishing match score will be displayed and winner will be announced.
Built With
css
html
javascript
Try it out
github.com | Arcade-Tennis-Game | This game is mostly based on javascript | ['yash10102002 Kalavadiya'] | [] | ['css', 'html', 'javascript'] | 41 |
9,876 | https://devpost.com/software/helyx-submission | The website
The website chart
The data
The prediction
Solar Predictor
What inspired us
Hi!
We're Juan Daniel López and Mateo Periago, 16-year old students from Murcia, Spain.
We decided to make this project because our region is always extremely sunny. We figured that there was a lot of wasted potential, as the energy of the sun is not exploited enough in our country.
What we've learned
Overall, we think that we've learned lots with this project. We've trained models based on time series with Facebook Prophet, which we had never done before. We have also learned about the Open Data program that our region has. We used it to get our data. Hosting our website on AWS was also a new experience for us. Finally, designing the website that would serve our models was really fun and we learned a lot about Streamlit and networking in general.
How we built it
We used the databases provided by the IMIDA, the Murcian Institute of Agrarian R+D.
These databases were composed of weather data picked up by several weather stations in our region. Most results date back to January 2000, and go up to December 2018. So we had plenty of data to train a model and make good predictions. All this data can be found in the data folder in the GitHub repo. There are 27 CSV files, one for each weather station in the region.
We were interested primarily on the solar radiation values, as you can use them to calculate how much would a solar panel produce.
To train the model, we used Facebook Prophet, a library that is commonly used for time series data. After much processing of the data and many headaches, we managed to get an accuracy score of 75%, which is not bad.
We used Pandas and Numpy for the data processing, as well as a small library (called utm) for converting from utm coordinates to latitude and longitude.
We also learned about Altair, a graphing library that can make awesome charts with ease.
The data is presented as a website, which we designed on Streamlit. It allows everyone interested in environmental sustainability to know the amount of energy they are able to get from a solar panel depending on the day, as well as some energy comparisons (like how many light bulbs a panel can power) to make people realize the real impact this could have. The website is hosted in AWS EC2.
Challenges we faced
We were stuck for quite some time because our model was giving very bad predictions. It turned out to be a mistake on our side, as we had some files that were missing many values, causing the model to predict badly. We ended up discarding those files.
Hosting our web on AWS was also quite challenging, as we had little experience with the Linux command line, so setting everything up was a difficult but rewarding experience.
The domain name is a sub domain of my website which points to the AWS instance. We also had to acquire a static IP for our website.
More insight
In our opinion, this is a very innovative idea in our region, as there is a lot of energy that could be harvested but goes instead to waste. This project can impact people (and governments), and make them realize that solar power can be a good alternative to fossil fuels, as solar is a clean and renewable source of energy. It would be a great way of fighting against climate change, while providing us with sustainable energy.
The code and data are available on GitHub!
Built With
amazon-ec2
amazon-web-services
fb-prophet
google-colab
numpy
pandas
python
streamlit
Try it out
solar.mateoperiago.com | Solar Predictor | Solar Predictor is a model that predicts how much energy would solar panels generate in Murcia, our region. | ['Mateo Periago', 'Juan Daniel López'] | [] | ['amazon-ec2', 'amazon-web-services', 'fb-prophet', 'google-colab', 'numpy', 'pandas', 'python', 'streamlit'] | 42 |
9,879 | https://devpost.com/software/scio-care-plattform-zur-effizienten-krisen-kommunikation | Fast täglich gibt es neue Informationen, Regelungen und Änderung in den Abläufen, die an die Mitarbeitenden kommuniziert werden müssen. Häufig sind nicht alle von den entsprechenden Informationen betroffen und erhalten dadurch für sie nicht relevante Informationen. In den meisten Organisationen wird per E-Mail kommuniziert.
Gerade in der aktuellen Situation wird eine Vielzahl an E-Mails an Mitarbeiter*innen zu den unterschiedlichsten Inhalten (Infektionen, Quarantäne, Dienstplanregelung, Umgang mit Stakeholdern etc.) versendet. Dabei gehen häufig aufgrund der Vielzahl wichtige Informationen, die Jede*n und/oder Einzelnen betreffen, unter. Das wiederum führt zu zahlreichen Rückfragen bei Verantwortlichen, die im Krisenmanagement bereits mehr als ausge-/belastet sind, und damit zu einer noch höheren Arbeitsbelastung. Oft werden dort dann nochmal häufig ähnliche Fragestellungen genannt oder solche, die bereits in einem Rundschreiben beantwortet wurden.
Hinzukommen die Unsicherheit und Ängste der Mitarbeitenden in schwierigen Situationen, bedingt durch dezentrale Struktur sowie zahlreiche geschlossene Geschäftsbereiche. Auch die Arbeit im Homeoffice, fühlen sich Mitarbeitende möglicherweise "weit weg" vom aktuellen Geschehen und es entsteht das Gefühl, nicht ausreichend informiert zu sein, oder nicht alles mitzubekommen.
Um dieses Problem zu lösen haben wir SCIO.care als kostenloses, wirksames und zielgerichtetes Kommunikationstool für soziale Organisationen entwickelt.
SCIO.care ermöglicht sozialen Organisationen Plattform-unabhängig mit allen Stakeholdern zu kommunizieren. Die Kommunikationsstruktur ist individuell auf alle Bereiche und alle Organisationen anpassbar.
Soziale Organisationen können ihre internen Informationen an Mitarbeiter*innen über einen geschützten Login-Bereich dauerhaft und/oder terminiert zur Verfügung stellen. Gleichzeitig können weiteren Informationen für Externe in einem freien Bereich auf Landingpage von SCIO.care angezeigt werden.
Die Mitarbeiter*innen erhalten zudem die Möglichkeit neben den durch Administrator*innen und Redakteur*innen für sie bereitgestellten Informationen, weitere Themen “abonnieren”. Dies erfolgt als Push-Nachricht entweder per E-Mail als Textnachricht per Signal.
Alle Kommunikationsbeiträge werden nach einem Ampelsystem kategorisiert. “Rote Nachrichten” haben Krisenmodus, “gelbe Nachrichten” fordern Re-/Aktionen von den Empfänger*innen und “grüne Nachrichten” dienen der Information.
Es gibt ein Forum, in dem alle Beiträge nach einer ausgewählten Kommunikationsstruktur gegliedert werden sowie einen Fragen & Antworten, (FAQ) in dem die Mitarbeiter*innen Ihre Fragen einstellen können, andere Mitarbeiter*innen oder Redakteur*innen antworten können. Haben diese Fragen eine Relevanz für alle, wandern diese automatisch in den FAQ-Bereich und werden dauerhaft gespeichert. Jede*r hat die Möglichkeit, die Fragen zu bewerten, auch damit die Organisation erkennen kann, wo Kommunikationslücken entstanden sind.
Jede Organisation ist selbständig in der Lage mit Hilfe einer Videoanleitung SCIO.care auf ihrem Server zu installieren und an die Website zu verknüpfen.
Und SCIO.care kann noch mehr: Nicht nur soziale Organisationen können dieses Tool für die interne und externe Kommunikation nutzen. Auch Unternehmen der freien Wirtschaft. Diese tragen mit einer monatlichen Fee dazu bei, dass das Tool kontinuierlich weiterentwickelt wird, ein Support stattfinden kann und überschüssige Gelder in soziale Projekte investiert werden können.
Try it out
scio.care | SCIO.care - Plattform zur effizienten (Krisen-)Kommunikation | SCIO.care ist das social Intranet als effiziente, moderierte Kommunikationsplattform zur zielgerichteten, wirksamen internen & externen (Krisen-)Kommunikation. Sie ist anpassbar & leicht zu bedienen. | ['carolin holat', 'Maike Sonnek', 'Claudia Geldmacher', 'Christian Sellink'] | [] | [] | 0 |
9,879 | https://devpost.com/software/kinderschutz-regenbogen-app | Gesellschaftlicher Mehrwert
Die
Regenbogen-App
bietet einen spielerischen Zugang zu Kindern von 3 bis 11 Jahren, die über eine Familienhilfe angebunden sind, um auch im social distancing in Kontakt zu bleiben, Gefährdungen frühzeitig wahrzunehmen und Kinder zu schützen. Denn gerade für diese Altersgruppe gibt es fast keine Möglichkeit, auf digitalem Weg die pädagogische Arbeit sinnvoll fortzusetzten. Durch die App kann zumindest ein Teil des Schutzauftrages erfüllt werden.
Skalierbarkeit
Generell ist die Anwendung auf jegliches pädagogisches Personal übertragbar. Auch Bezugspersonen aus Kindergarten, Schul- und Jugendarbeit haben “Sorgenkinder” bei denen sie kein gutes Gefühl haben. Anzeichen von häuslichen Schwierigkeiten, Vernachlässigung und Kindeswohlgefährdung können nicht mehr wahrgenommen werden. Mit der Regenbogen App ist es pädagogischem Personal möglich, auch in dieser Zeit Kontakt zu halten.
Innovationskraft
Die Regenbogen App soll eine digitale Verbindung zwischen pädagogischem Personal und Kindern aus schwierigen häuslichen Verhältnissen schaffen. Durch den spielerischen Zugang kann Sozialarbeiter*in und Kind gemeinsam Zeit verbringen, ins Gespräch kommen und so die pädagogische Arbeit fortgesetzt werden.
Tragfähigkeit
Die Regenbogen App soll nach Scrum von einem Team bestehend aus Sozialpädagogen und Softwareentwicklern erstellt werden. Dabei sollen Test User (Kind/ Helfer - Paar) nach dem ersten Release mit einbezogen werden. Über einen Träger und Investoren können die finanziellen Ressourcen für die Entwicklung und oder auch für Leihgeräten sichergestellt werden.
Weitere Schritte
Konzept und Design finalisieren
Träger und Investoren finden
App Entwicklung mit 1 Wochen Sprints
Nach 2 Sprints erstes release mit MVP (minimum viable product)
Weitere Gadgets können in Sprints nach und nach hinzugefügt werden
In verschiedenen Situationen auch außerhalb einer Pandemie ist eine Anwendung denkbar – Kinder, die länger erkrankt sind und zu Hause bleiben müssen, Kinder, die bei Hausbesuchen verschlossen reagieren, Kinder die sprachlicher Kommunikation wenig zugänglich sind uvm.
Nachhaltigkeit
Generell ist es möglich sozialarbeiterische Praxis digital anzureichern. Durch neue Zugänge zu Klient*innen ergeben sich mehr Handlungs- und Wirkungsfelder Sozialer Arbeit.
Built With
emotion
humanbrain
powerpoint
simpleshow
zoom | Kinderschutz Regenbogen App | Spielerischer Zugang für Kinder und Familienhilfe | ['Matthias Kammermeyer', 'Lisa Straßer'] | [] | ['emotion', 'humanbrain', 'powerpoint', 'simpleshow', 'zoom'] | 1 |
9,879 | https://devpost.com/software/familia-digitale | Inspiration
Es gab Zeiten, als "Familie" noch ein größerer Rahmen war. Da lebten 3 oder sogar 4 Generationen unter einem Dach bzw. auf einem Hof. Auch Bedienstete zählten zum Kreis der Familie. Das hatte auch etwas Entlastendes, denn man konnte sich gegenseitig helfen. Wäre es nicht hilfreich in diesen Zeiten wieder eine größere Familie zu sein? Wir machen das digital - Familia Digital verhilft dir zur Gründung und "Betrieb" einer größeren Familie.
Was ist Familia Digitale
Familia Digitale ist eine Plattform um eine digitale Familie zu gründen oder zu finden. Ist die digitale Familie gegründet, unterstützt Familia Digitale die Organisation des Familienlebens und Kommunikation. Außerdem bietet die Plattform Vernetzung mit anderen digitalen Familien sowie Haupt- und Ehrenamtlichen Unterstützern.
Was wurde entwickelt
Prototyp für Website in Webflow.io
Prototyp für Familienorganisation in Trello
Wie geht's weiter?
Habt ihr Lust eine digitale Familie zu gründen? Dann meldet Euch bei uns. Wir versorgen Euch mit Infos über den aktuellen Stand der Entwicklung und freuen uns auf die ersten Familien, die gemeinsam gründen.
Wer hat an Familia Digitale mitgearbeitet?
Michelle, Feray, Nanette, Svetlana, Gregor, Tobias
Try it out
familia-digitale.webflow.io | Familia Digitale | Analoge Kernfamilie wird zur digitalen Großfamilie - Man muss nicht alles alleine machen... | ['Tobias Leisgang', 'Svetlana Borodina', 'Gregor Ilg'] | [] | [] | 2 |
9,879 | https://devpost.com/software/ml-bleibt-zuhause | Gesellschaftlicher Mehrwert
Das Projekt „ml bleibt zuhause“ des Teams Indi1 verknüpft Inklusion, Digitalisierung und Nachhaltigkeit auch in Krisensituationen. Dabei ermöglicht das Projekt nachhaltige Arbeitsplätze für Menschen mit Beeinträchtigungen mit einem breiten Spektrum an innovativen Tätigkeiten im Echtbetrieb. Zum anderen wird der Nachhaltigkeitsgedanke ins Bewusstsein gerufen und es wird eine (zusätzliche) digitale Möglichkeit angeboten, miteinander zu kommunizieren, sich beraten zu lassen und spannende Produkte zu erwerben.
Skalierbarkeit
Die Grundidee ist auf andere Bereiche übertragbar und ist nicht regional begrenzt.
Innovationskraft
Das Projekt verbindet eine nachhaltige Dienstleistung mit einem sozialen Personalkonzept. Es ermöglicht ein großes Spektrum an Tätigkeiten im Echtbetrieb. Es gibt Sortier- und Verpa-ckungsarbeiten sowie kreative Bildschirmarbeit und Kundenbetreuung. Dank vielseitiger Tätigkeitsfelder können die individuellen Stärken optimal gefördert werden.
Tragfähigkeit
Das Projekt kann schnell umgesetzt werden, weil es auf bereits vorhandenen Mitarbeitenden aufbaut. Diese müssen lediglich in Bezug auf die technische Umsetzung kurz geschult werden. Der Technische Aufwand ist minimal, weil solche Strukturen wie Bezahlung, Versand usw. im Kaufhaus bereits vorliegen.
Das Projekt startet als eine Social Media Kampagne, wird aber auch nach der Corona-Krise als eine langfristige und nachhaltige Beschäftigung für Menschen mit Beeinträchtigungen weitergeführt.
Nachhaltigkeit
Das Projekt ermöglicht ein ökologisch nachhaltiges Recycling von gebrauchten Waren.
Die Mitarbeitenden entdecken neue Fähigkeiten und starken ihre Kompetenzen. Selbstwirksamkeit erfahren. | ml bleibt zuhause | ml bleibt zuhause | [] | [] | [] | 3 |
9,879 | https://devpost.com/software/portal-magiee-fur-eltern-fur-kinder-mit-beeintrachtigungen | MAGIEE – ein Onlineportal für Eltern von Kindern mit Beeinträchtigungen
Die UN-Behindertenrechtskonvention fordert uns alle auf, gemeinsam eine inklusive Gesellschaft zu gestalten. Kinder mit Beeinträchtigungen sind auf ihre Eltern angewiesen. Und die Eltern auf Unterstützung. Sie brauchen neue und unbürokratische Wege, um Entlastung zu bekommen. Schon vor Corona waren Eltern an ihren Belastungsgrenzen – durch Corona hat sich ihre Lage verschärft.
Insbesondere während der Corona-Krise brauchen Eltern von Kindern mit Beeinträchtigungen Entlastung und Unterstützung. Diese finden sie auf dem Online-Portal MAGIEE. Dort erhalten sie Informationen zu sozial-rechtlichen Fragen, Schule, Betreuung, finanzieller Unterstützung auch durch Experten und Verbände. Außerdem können sie sich auf dem Portal mit anderen Eltern austauschen oder ehrenamtliche Unterstützung suchen.
Ein solches Onlineportal kann auch für andere Zielgruppen erstellt werden (z.B. chronisch Kranke, Alleinerziehende, Menschen mit Migrationshintergrund etc.).
Das Onlineportal ist innovativ, weil es Betroffene mit Professionellen und Verbänden niederschwellig und direkt in Kontakt bringt. Interessen werden gebündelt und Betroffene kommen zu schnellen und unbürokratischen Hilfen. Gemeinsam mit den Verbänden erreichen sie die Politik und Verständnis in der Öffentlichkeit.
Die Selbsthilfe wird mit einem solchen Onlineportal digitaler und kreativer. Die Corona-Situation bietet somit eine einmalige Chance, ein nachhaltiges und niederschwelliges Angebot zu schaffen.
Das Onlineportal kann zeitnah erstellt werden. Selbsthilfeorganisationen, Therapeut*innen, Ärzt*innen, Schulen und weitere professionelle Kräfte werden in das Portal eingebunden. Ihre Expertise und die Erfahrung der Betroffenen steht langfristig für die Nutzer*innen des Portals zur Verfügung und wird stets aktualisiert und ausgebaut.
Team: Gail McCutcheon, Ute Kern-Waidelich, Iryna Nikolayeva, Regina Steinkemper, Jan G., Eyleen, Krees, Dave | Platform MAGIEE für Eltern der Kinder mit Beeinträchtigungen | Während der Corona Krise sind alle Betreuungen für Kinder mit Beeinträchtigungen ausgefallen. Die Eltern sind am Ende ihrer Kräfte und brauchen sofortige, unbürokratische Hilfe. | ['MAGIEE Portal MAGIEE'] | [] | [] | 4 |
9,879 | https://devpost.com/software/pflegeheim-burokratie-mehr-zeit-mit-bewohner-innen | Automatic generated Pflegeheim Journal - through FHIR and IOT
Intelligent Nursing Facility through FHIR and IoT
Inspiration
In Germany, 300 thousands of specialised caregives have to invest daily 2 hours of their work in order to document the activities that they are doing with the residents of the nursing homes. This is due to the regulatory requirements that mandate that documentation, and the reviewing organisations that are in charge of assessing the quality of services delivered.
What it does
Instead of writing papers, or typing on PC, the same data is collected with IOT devices and automatically delivered to the database. A simple user interface allows nursing home manager and regulatory authorities to verify. Through use of digital signature, no data can be "faked" and therefore even the quality of service beinig improved
How we built it
Using FHIR as semantic representation layer allows to reuse existing components and rapid prototype yet wiith scalabilitiy and maintainabilitiy included.
Therefore we reused the approach developed for the #wirvsvirus hackaton of embedded IOT with FHIR,
https://github.com/lucatoldo/fhir-ebutton
, the public FHIR database, and are going to extend that with a FHIR UI reusing the available open source one from
https://sap.github.io/openui5-fhir/
A first prototype of the front end is implemented using
https://thingsboard.io
Challenges we ran into
Extremely little time available for proper implementation and for connecting with wider audience of stakeholders.
Accomplishments that we are proud of
Quickly established trust relation between problem "owner" and technology provider.
Very high reusability of existing approaches.
What we learned
The high bureaucratic need of nursing homes, the great impact that FHIR and IOT technology can give to practical society problems.
What's next for Intelligente Pflegeheim : Zeit mit Bewohner/Innen statt PC
Acceptance required by various stakeholders is needed:
regulatory organisations
device manufacturers
software companies
Additionally, it could also be expanded to mobile-pflegedienste that with the exception of Heimordnungsgesetz have the same documentation requirements ! (last minute contribution )
Built With
fhiir
https://thingsboard.io
https://www.youtube.com/watch?v=sfbsiufy4xc
iot
Try it out
github.com | Burokratielast in Pflegeheim reduzieren. | Documentation of Nursing homes activities in Germany requires 500000 hours / day. Through FHIIR and IOT caregivers will stay all that time wiith the residents and improve their quality of life. | ['Dr. Luca Toldo', 'Michael Behrens'] | [] | ['fhiir', 'https://thingsboard.io', 'https://www.youtube.com/watch?v=sfbsiufy4xc', 'iot'] | 5 |
9,879 | https://devpost.com/software/digitaler-sprachunterricht-in-fluchtlingsunterkunften | Team/Projekt
“Digitaler Sprachunterricht in Flüchtlingsunterkünften”
Niederschwelliger Zugang zu digitalem Sprachunterricht über QR-Codes
Gesellschaftlicher Mehrwert
Eine niederschwellige und kosteneffiziente QR-Lösung für den Zugang zu einem digitalem Integrationsangebot kann die Integration Geflüchteter in Zeiten von COVID-19 (und auch für zukünftige Krisen) ermöglichen. Der konkrete Mehrwert durch das Angebot umfasst:
Alltagsstrukturierung für Bewohner
Ersten Zugang zur Integration in Zeiten von COVID-19
Kontakt zu ersten Bezugspersonen im Rahmen der Integrationsarbeit
Interne Skalierbarkeit des Kurses (Fluktuation der Teilnehmerzahl keine Hürde)
Über die Digitalität größere Teilhabe von Frauen (Vereinbarkeit mit Kinderbetreuung)
Skalierbarkeit
Die QR-Lösung als niederschwelliger Zugang auch für andere Angebote der gesellschaftlichen Teilhabe möglich (Jugend- und Familienhilfe, etc.).
Innovationskraft
Unsere Lösung ist sprachlich universell und bildungsbarrierenreduziert, da auf QR-Codes mit einfachen Piktogrammen verwiesen werden und individueller akustischer Sprachoutput (Auswahl über Landesflagge) abgerufen werden kann. Der Nutzer muss sich nicht durch komplexe Menüs klicken; Kursteilnehmer können per Scan direkt in die digitalen Angebote einspringen.
Tragfähigkeit
Es ist nur ein einmaliger Aufsatz des Projektes vonnöten. Darüber hinaus muss ein IT-Verantwortlicher nur QR-Codes und Profile erstellen.
Nachhaltigkeit
Auch nach Bewältigung einer Krisensituation wie COVID-19 lassen sich die positiven Effekte des gesellschaftlichen Mehrwerts erhalten und fortsetzen. So können z. B. Kursteilnehmer, die ein analoges Angebot nicht wahrnehmen können, digital an einem Kurs teilnehmen und/oder auf Kursmaterialien zugreifen. Es können auch ergänzende Lerneinheiten und Lehrmaterialien (auch in den jeweiligen Muttersprachen) zur Verfügung gestellt werden. Hierdurch können herausgeforderte Lerner in Eigenarbeit am Lernfortschritt des Unterrichts teilhaben und motivierte Lerner ihre Lernleistung intensivieren.
Try it out
drive.google.com | Digitaler Sprachunterricht in Flüchtlingsunterkünften | Niederschwelliger Zugang zu digitalem Sprachunterricht über QR-Codes | ['Panagiotis Kavassakalis', 'Sabrine Gasmi-Thangaraja', 'Eva Oliveira', 'Julian Hummel'] | [] | [] | 6 |
9,879 | https://devpost.com/software/paritatische-akademie-sud-video-skills-create-social-stars | Design Thinking
Wo lang ?
Voll bei der Sache
Der Weg
Inspiration
Krise als Chance im Bildungsbereich
VR
niederschwellige Ansprache
neue Geschäftsfelder
What it does
Schwelle zu digitalen Angeboten senken
Führungskräfte als Multiplikatoren
gesamten sozialen Bereich Stärken
How We built it
Design Thinking Methode
Problemlöserin als Coach
Konstruktiver Dialog
Flow
Multiperspektivität (technisch, Einfachheit)
Challenges We ran into
How to keep it simple
Entscheidungen, Priorisierung
Accomplishments that We're proud of
Video in kurzer Zeit produzieren
gute Stimmung
gute Atmosphäre!
große Offenheit der Herausforderer
Gesundheit! Schlaf!
What We learned
digitale Skills
Was man in 24 Stdunden schaffen kann, wenn man konzentriert arbeitet
Trotz Gemeinsamkeit auch Unterschiede und zielführendes Ergebnis
What's next for Paritätische Akademie Süd: Video Skills Create Social Stars
Video, Video, Video!!!
VR
Online-Lunch für Führungskräfte
UMSETZUNG! | Paritätische Akademie Süd: Video Skills Create Social Stars | Videos informieren, inspirieren und motivieren Fürhungskräfte digitale Wege zu beschreiten, um zukunftsfähig zu sein. | ['Kai Kneule', 'Alexandra Schollmeier', 'Martina Neumeyer', 'Beatrice Schüll', 'Thomas Pilz', 'Martina Kohrn'] | [] | [] | 7 |
9,879 | https://devpost.com/software/zusammensein-trotz-distanz | Inspiration
Wussten Sie, dass aufgrund der Corona Pandemie der direkte Kontakt zwischen Angehörigen und Patienten nicht möglich ist? Und dafür Pflegekräfte fehlende Zeit als Beruhiger, Vermittler und technischer Handy-Reparateur aufbringen müssen? Ein großes Problem deutschlandweit. Wir haben uns daher folgende Frage gestellt: “Wie können wir Angehörigen trotz Besuchsverbot helfen, einen direkten Kontakt zum/zur Patient/in herzustellen, um eine Resonanz zu erzeugen, dass es ihm/ihr gut geht?”
Die Lösung bietet die App “Zusammensein trotz Distanz”, die aufgrund datenschutzkonformer Telefonübertragung per App auf einem kinderleicht bedienbaren Tablet den direkten Kontakt problemlos sicherstellt. Sie ermöglicht die Kommunikation via Text, Sprachnachricht, Videonachricht, Telefonie und Videotelefonie.
Zur Umsetzung haben wir ein dreistufiges Konzept erarbeitet:
Als kurzfristige Lösung kann ein BFDler schon morgen mit einem Tablet und dem ersten App-Prototypen als Teil seiner Aufgaben mit der mobilen Anwendung durch die Klinik gehen. Er sammelt dabei erstes Feedback und Eindrücke zur Weiterentwicklung der App.
Zur mittelfristigen Umsetzung, welche aufgrund unseres jetzigen App-Entwicklungsstand auf 6 Wochen datiert ist, kann bei Bedarf die App “Zusammensein trotz Distanz” zum Telefonieren sowie Empfangen und Versenden von Sprachnachrichten benutzt werden. Per eingescanntem QR-Code (später RFID oder Bluetooth) weiß die App genau bei welchem Patienten sie sich befindet. Der Datenschutz ist dadurch gesichert, dass die Daten auf dem Server der Einrichtung liegen und über einen Code eine direkte Verbindung zwischen den Nutzerinnen und Nutzern herstellt.
Langfristig wird das Tablet zum Standard-Device am Krankenhaus. Es wird zum multifunktionalen, inklusiven und leicht bedienbaren Entertainment-, Informations- und Kommunikationstool.
Somit sind Pflegekräfte entlastet und der personelle Anteil wird mit jedem weiteren Schritt der Lösung durch einfach bedienbare Technik immer weiter reduziert.
Hier das Erklärvideo:
https://videos.mysimpleshow.com/FkdeUobCDW
Gesellschaftlicher Mehrwert
Durch unsere Lösung profitieren sowohl Patienten und Angehörige, als auch die Pfleger selbst. Wir ermöglichen Patienten den direkten Kontakt zu den Angehörigen - trotz Besuchsverbot. Dabei entlasten wir mittelfristig gleichzeitig die Pflegekräfte und fördern die zwischenmenschliche Beziehungen des Patienten. Langfristig schaffen wir mit unserer Lösung eine Qualitätsverbesserung in der Kommunikation und verringern somit die Liegezeiten der Patienten.
Skalierbarkeit
Dieser indirekte Kontakt, ist auch nach Corona ein relevantes Thema für Angehörige, die weit entfernt vom Krankenhaus der Patienten wohnen.
Sowohl im ambulanten Pflegebereich als auch darüber hinaus, lässt sich unsere Lösung problemlos auf weitere Bereiche und Einrichtungen skalieren – Krankenhaus oder andere vergleichbare Einrichtungen, Altenheime, aber auch Menschen mit Behinderungen oder Rentner können langfristig profitieren. Auch Beratungseinrichtungen, die auf Online-Beratung umstellen, können mit der App "Zusammensein trotz Distanz" zu ihren Klienten auf sicheren Weg Kontakt halten.
Innovationskraft
Durch die schrittweise Entwicklung eines multifunktionalen, inklusiven und leicht bedienbaren Entertainment-, Informations- und Kommunikationstool erleichtern wir nicht nur Pfleger und stellen den direkten einfachen Kontakt zwischen Angehörigen und Patienten her, sondern wir digitalisieren die Gesundheitsbranche. Wir bedienen uns neuartigster RFID Tracking Methoden, durchdachter datenschutzkonformer App-Entwicklung und einfach bedienbarer Nutzerflächen durch UX Design.
Tragfähigkeit
Ein indirekter Kontakt ist auch nach Corona ein relevantes Problem für Patient und Angehörige, die weit entfernt vom Krankenhaus der Patienten wohnen. Das Ende der Corona-Krise wird dieses Problem nicht ändern. Die Umsetzung unserer Lösung kann zum Glück überraschend leicht und zeitnah stattfinden. Die zu verwendende App ist derzeit in der Entwicklung und wird innerhalb der nächsten Wochen vollendet. Die Systeme hinter der App (Server, Datenschutz etc.) stehen ebenfalls. So ist für eine DSGVO-Konformität gesorgt und alle nötigen Stellschrauben sind implementiert und bereit zum Einsatz. Durch die große, mögliche Nutzungsfläche und langfristige Erweiterungen, ist die Lösung auch zukunftsorientiert wirksam und effizient.
Nachhaltigkeit
Die (meist älteren) Patienten erhalten die Möglichkeit jederzeit mit ihren Liebsten in Kontakt zu treten und sich selbst zu unterhalten. Das vermindert einige Probleme der Einrichtungen und ihrer Patienten – Einsamkeit, langsamer Verlust der motorischen Fähigkeiten, hohe Liegezeiten, mangelnder Kontakt sowie emotionale und zeitliche Belastung des Pflegepersonals. Neben persönlichem Mehrwert ist unsere Lösung jedoch auch ökologisch wertschaffend. Nach einer einmaligen Investition, haben Pflegekräfte mehr Zeit für ihre eigentliche Aufgaben, durch verkürzte Liegezeiten wird das gesamte System entlastet und wertvolle Gelder eingespart.
Wir sind von unserer Idee überzeugt. Sie auch?
Kontakt: Uwe Kaspers via
ukd@ukd.de
Built With
ansible
django
jitsi
python
Try it out
www.dropbox.com | Zusammensein trotz Distanz | Sichere, einfache und vielfältige Kommunikationsmöglichkeiten schaffen wir für Menschen, die sonst keinen Kontakt mit ihren Angehörigen pflegen können. | ['Julia Holze', 'Hannes Jähnert', 'Tim Gnannt', 'Uwe Kaspers', 'Christopher Müller', 'Carina Kreidler', 'sheherazade preuss'] | [] | ['ansible', 'django', 'jitsi', 'python'] | 8 |
9,879 | https://devpost.com/software/kurzarbeit-v-uberstunden-in-coronazeiten | Combine Our Ressources Ohne Nachteile für Alle
Aktuell arbeiten viele Mitarbeiter*innen in einer sozialen Organisation in Kurzarbeit oder sind sogar gekündigt worden, während in der gleichen Organisation in einem anderen Bereich (oder in anderen Organisation) Mitarbeiter*innen Überstunden machen oder am Limit arbeiten. So arbeitet beispielsweise ein*e Mitarbeiter*in als Schulsozialarbeiter*in in Kurzarbeit weil die Schulen geschlossen sind und gleichzeitig arbeitet in der selben Organisation ein*e Kolleg*in in einer Wohngruppe am Limit. Soziale Organisationen stehen vor der Herausforderung ihre Mitarbeiter*innen auch für die Zeit nach der Krise ‚zu halten‘ oder Personal für überlastete Bereiche zu finden.
Gesellschaftlicher Mehrwert
Wir wollen die Krise als Chance sehen …
§ damit sich Mitarbeiter*in mit ihren eigenen Kompetenzen und Ressourcen beim eigenen (oder bei einem anderen Träger) in einem ‘fachfremden’ Bereich einbringen - und dabei ihre eigenen Fähigkeiten sinnvoll einbringen und um neue Erfahrungen erweitern oder auch um drohender Kurzarbeit/Arbeitslosigkeit zu entgehen
§ damit soziale Organisationen die Potentiale ihrer eigenen Mitarbeiter*innen erkennen, fördern und nutzen um Beschäftigung zu sichern und die Kompetenzen ihrer Mitarbeiter*innen zu erweitern
§ damit soziale Organisationen durch Mitarbeiter*innen anderer Organisationen unterstützt werden um überlastete Bereiche zu entlasten
Soziale Organisationen können dabei schneller auf vorhandene Ressourcen zugreifen und Mitarbeiter*innen haben gemäß ihren Interessen und Kompetenzen Aufstiegschancen in Bereichen, welche Ihnen vorher verwehrt gewesen wären.
Unser Produkt …
§ Eine Plattform innerhalb einer Organisation, auf der Kompetenzen und Interessen der Mitarbeiter*innen erfasst und mit zu besetzenden Stellen vernetzt werden
§ Eine Plattform auf der sich Organisationen untereinander vernetzten, damit Mitarbeiter*innen je nach Bedarf organisationsübergreifend arbeiten können
Skalierbarkeit
Das Konzept bzw. das Produkt kann in kleinen, mittleren und großen (sozialen) Organisationen und in jedem Bereich sozialer Arbeit eingesetzt werden. Das Produkt kann von einem Träger intern eingesetzt werden und von Organisationen im Sinne der Vernetzung sozialer Organisationen übergreifend verwendet werden.
Innovationskraft
Mitarbeiter*innen erleben innerhalb ihrer Organisation einen ‚persönlichen Entwicklungspfad‘. Sie werden nicht mehr „nur“ nach Ausbildung, sondern nach ihren Kompetenzen und Interessen flexibel eingesetzt und gefördert. Sie müssen nicht kündigen um (aktuell) anderweitig ihre Existenz zu sichern oder um (perspektivisch) in einer anderen Organisation bessere Aufstiegschancen zu bekommen. Vorgesetzte und Mitarbeiter*innen lernen sich innerhalb ihrer eigenen Organisation mit ihren Talenten besser kennen und können auch bereichsübergreifend ihre Kompetenzen einbringen (bspw. peer to peer sparring)
Das Ökosystem der Wohlfahrtsbranche wird gefördert, indem neue strategische Partner eingegangen werden indem sich soziale Organisationen untereinander vernetzen um flexiblen Personaleinsatz zu ermöglichen.
Tragfähigkeit
Meilensteine für die Erstellung des Produkts
(1) Entwicklung des Prototypen mit einem Pilotkunden (pro juventa, Reutlingen) § Recherche zu bereits vorhandenen Plattformen (bspw.
https://www.inform-software.de/workforcemanagement/mitarbeiterbeteiligung
)
§ Klärung offener Fragen (bspw. Datenschutz) bzw. Konzeptentwicklung wie Mitarbeiter*innen motiviert werden können ihre Kompetenzen auf einer Plattform zu teilen und in ihrer Organisation einzubringen (bspw. sie vermeiden damit Kurzarbeit, sie können neue Erfahrungen machen, sie erleben sich als selbstwirksam indem sie Kolleg*innen unterstützen)
§ Entwicklung und Programmierung einer Plattform, die organisationsintern verwendet werden kann
§ ‘Testphase’ der Plattform bei projuventa mit Mitarbeiter*innen
(2) Entwicklung des Prototypen mit unterschiedlichen Pilotkunden unter Beteiligung von pro juventa und des Paritätischen Landesverbandes)
§ Klärung offener Fragen (bspw. Möglichkeiten und Umsetzung im Arbeitnehmerüberlassungsgesetz)
§ Weiterentwicklung und Programmierung der Plattform unter Beteiligung weiterer sozialer Organisationen damit die Plattform organisationsübergreifend verwendet werden kann. Die Plattform soll auf der Homepage des Paritätischen Landesverbandes installiert werden
§ ‚Testphase‘ der Plattform mit mehreren sozialen Organisationen
Benötigte Unterstützung durch die Jury: Begleitung des ‚Entwicklungsteams‘ der Protoypen durch Programmierer*in, Arbeitsrechtler*in, Vertreter*in der Gewerkschaft, Geschäftsführung pro juventa und dem Paritätischen
Nachhaltigkeit
Mitarbeiter*innen haben die Möglichkeit auch über die aktuelle Krise hinaus kompetenzorientiert zu arbeiten, sie werden auch durch eine nach Leistung und Tätigkeit entsprechende Entlohnung motiviert, sie können sich weiterbilden, sich flexibler und nachhaltiger für eine soziale Organisation einbringen.
Soziale Organisationen können Kompetenzen ihrer Mitarbeiter*innen flexibler nutzen, was auch zu einer Minderung der Fluktuation und damit einen Mehrwert für das Unternehmen mit sich bringt.
Das Ökosystem der Wohlfahrtspflege wird durch entstandene Partnerschaften und Netzwerke nachhaltig gestärkt
Es wird ein Zeichen gesetzt, dass der Mensch die wertvollste Ressource ist, die wir in unserer Gesellschaft haben. Soziale Berufe werden attraktiv gemacht, Pflege und Erziehung wird ein neuer Stellenwert gegeben. | Kurzarbeit v. Überstunden in Coronazeiten | Wir helfen MitarbeiterInnen und Organizationen sich unter einander zu vernetzen um Ressourcen und Kapazitäten besser zu verteilen | ['Julia Holze', 'Karl Mullins', 'Sabine Brommer'] | [] | [] | 9 |
9,879 | https://devpost.com/software/helfen-4-0-fur-alle-organisationen | The Digital Rulebreaker Team - Helfen 4.0
eHelp Ökonomie - sociallook Helfen 4.0
The Models - Helfen 4.0
Onepager - Helfen 4.0 für alle sozialen Organisationen
to change the social world
awesome
together we can solve anything
Time and digital communication
we hold the deadline
that was the greatest experience ever
What's next for Helfen 4.0 für alle Organisationen
find partners to realize big dreams and rollout the platform model in the world
Built With
ajax
app
html5
jitsi
mysql
php
platform
web
Try it out
www.sociallook.net | Helfen 4.0 für alle Organisationen | Wir wollen digitale Interventionen für alle am Hilfeprozess Beteiligten ermöglichen und die soziale Arbeit in die Zeit der Digitalisierung holen. | ['Christoph Selg', 'Thomas Herwig', 'Constantin Koch', 'Dominic Viola'] | [] | ['ajax', 'app', 'html5', 'jitsi', 'mysql', 'php', 'platform', 'web'] | 10 |
9,879 | https://devpost.com/software/die-eine-nummer | Startseite "Die eine Nummer"
Mobile App für die Helfer
Inspiration
Wir wollen Menschen ohne Zugang oder Affinität zum Internet bei der Informationsbeschaffung für ihre persönlichen Bedürfnisse unterstützen.
What it does
Menschen können bei "Die eine Nummer" anrufen. Eine Person, die sich vorher als ehrenamtliche Helfende registriert hat, nimmt den Anruf entgegen. Mithilfe eines Wikis über bundesweite und lokale Angebote kann sie die benötigte Information an die anrufende Person weitergeben und ggf. telefonisch verbinden.
How we built it
Es gibt eine App und eine Website, die von den freiwilligen Helfenden genutzt wird. Die Kund*Innen rufen über Telefon an.
Challenges we ran into
Wir sind es gewohnt, Menschen über das Internet zu erreichen. Wie erreichen wir sie, wenn dieser Weg wegfällt oder erschwert ist? Ideen sind: Teletext, Zeitung, Brief. Außerdem können Verwandte über die sozialen Netzwerke erreicht werden und ihren Familienangehörigen von "Die eine Nummer" berichten.
Accomplishments that we are proud of
Wir haben das Problem ohne Herausforderer definiert. Wir haben einen Prototypen einer App und einer Webseite erstellt. Wir haben umfassend zu den Themen Anwender-Sicherheit, Qualitätssicherung und Datenschutz recherchiert und die Ergebnisse einfließen lassen, z.B. ein Berechtigungskonzept und ein Identifizierungsverfahren der Helfenden.
What we learned
Wir wollen mehr sein als eine Telefonvermittlung und als der Zettel am Kühlschrank. Eine Welt ohne Internet ist heute für uns kaum vorstellbar und das erfordert ein Hineindenken in die Zielgruppe für die das tatsächlich noch Realität ist.
What's next for Die eine Nummer
Fördernde und Geldgebende finden, das Konzept im Detail ausarbeiten, die App und die Webseite entwickeln, perspektivisch eine KI einbinden. | Die eine Nummer | Personen ohne Zugang oder Affinität zum Internet können Internetsuchmaschinen nicht nutzen. "Die eine Nummer" ist die telefonische Alternative - eine Verbindung zwischen digitaler und analoger Welt. | ['Hanna Orthmann', 'Katharina Nolden', 'Jolanda Jerg', 'Damaris Rothfuss', 'Anne Blume', 'Kaja Tulatz', 'Isabelle Bethe', 'Werner-Franz Hauke'] | [] | [] | 11 |
9,879 | https://devpost.com/software/wir-fur-drk-ba-wu-effizienter-umgang-mit-meldungen | Wir wollen das DRK mit unsere Idee helfen.
Unser Approach ist modular und lässt sich stufenweise einführen.
Wir haben jede Menge gelernt und Spaß gehabt.
Digital & Sozial geht ZUSAMMEN!
Built With
blueprism
tableau | Wir für DRK Ba-Wü: Effizienter Umgang mit Meldungen | Die von uns entwickelte Lösung beinhaltet drei modulare Stufen - Automatisierung, Visualisierung und Ganzheitliche Lösung | ['Svetoslava Hristova', 'Eric Liebig'] | [] | ['blueprism', 'tableau'] | 12 |
9,879 | https://devpost.com/software/what-the-wohlfahrt | Im Mittelpunkt steht der Gedanke, dass aus Krisensituationen, sei es aufgrund von äußeren Umständen oder durch innere Prozesse, Neues entsteht. Wir schaffen einen Gesprächs- und Resonanzraum, der uns mit uns selbst und den anderen, unseren Themen und Aufgaben, unseren Erfolgen und Geschichten des Scheiterns in unseren Organisationen und Projekten verbindet. Es entsteht eine überverbandliche, fachlich- und themenfeldübergreifende Plattform der freien Wohlfahrtspflege die Freiraum schafft für Mut-Bits, Fuckup-Sessions und Denkrunden. | What the Wohlfahrt! | Wir schaffen Freiräume für die Wohlfahrt. | ['Amelie S.'] | [] | [] | 13 |
9,879 | https://devpost.com/software/freiwilligendienste-der-zukunft-mit-microsoft-teams | Die Herausforderung: wie können wir die pädagogische Begleitung in den FWD digital gestalten und für alle zugänglich machen?
Die Lösung: durch Microsoft Teams und Office 365 arbeiten wir zusammen digital. Alle machen mit und gestalten eine lebendige Kommunikation.
Gesellschaftlicher Mehrwert - alle profitieren!
Fördert Gemeinschaft und Vernetzung aller Beteiligten.
Fachliche, persönliche Weiterentwicklung und Begleitung - auch in der Krise.
Stärkt Freiwillige, Einsatzstellen, Träger und die Gesellschaft, die von Freiwilligen getragen wird.
Reduziert das Ansteckungsrisiko.
Neue persönliche und kollaborative Lernwege sowie neue Kommunikationswege.
Räume für Lernen und Mitgestaltung, damit Anpassung an den gesellschaftlichen Wandel.
Skalierbarkeit - alle nutzen es!
Übertragbar auf andere Regionen, alle Freiwilligendienste, viele Bereiche der Sozialen Arbeit und verschiedene Themen. Dabei individuell gestaltbar.
Teilweise ohne Schlüsselung der pädagogischen Begleitung möglich, da unabhängig von Gruppengröße und Region.
Innovationskraft - alle gestalten mit!
Aus analog wird digital: neue Betreuungs- und Lernkonzepte
Erfüllt Anforderungen und Bedürfnisse verschiedener Nutzergruppen und Referent*innen
Weg für mehr Partizipation und den kreativen Austausch zwischen Stakeholdern.
Multimedial. Flexibel. Anpassbar. Mitwachsend.
Tragfähigkeit - alle testen!
Der Prototyp ist schnell einsatzbereit für die erste Testphase mit den Freiwilligen.
Eigene Administration: Änderungen können zeitnah und flexibel vorgenommen werden.
Freiwillige und Einsatzstellen partizipieren: sie gestalten das System und Inhalte aktiv mit
Nachhaltigkeit - alle werden entlastet!
FWD zugänglicher, mehr Freiwillige = mehr Nachwuchs in sozialen Berufen --> die soziale Branche und damit auch die ganze Gesellschaft profitieren
Organisationsaufwand wird reduziert, Effizienz und Flexibilität werden gesteigert
Bringt Transparenz/Überschaubarkeit und damit die EST & Freiwilligen näher zusammen.
Zeit- und Kostenersparnis, dadurch Ressourcenfreisetzung
Built With
forms
office-365
onedrive
planner
sharepoint
teams | Freiwilligendienste der Zukunft | Zusammen. Digital. Mitmachen. Lebendig. Kommunizieren. (Mit Microsoft Teams und Office 365) | ['Joel Dunand', 'Melanie Mueller', 'Tamara Gassner', 'Susanne Zornow', 'Verena Hilbert'] | [] | ['forms', 'office-365', 'onedrive', 'planner', 'sharepoint', 'teams'] | 14 |
9,879 | https://devpost.com/software/carehacktcorona-stayathome-stay2gether-tagesbetreuung4-0 | Die Alzheimer Gesellschaft Sachsen-Anhalt e.V. kümmert sich um Menschen mit Demenz und ihre Angehörigen. In einer Tagesbetreuung geben wir Betroffenen eine Tagesstruktur, es wird gesungen, gebastelt und am Hochbeet gegärtnert.
Pflegende Angehörige nutzen die Zeit, um Termine wahrzunehmen, zum Sport zu gehen und einfach mal eine Auszeit vom Pflegealltag nehmen.
Seit Corona ist die Tagesbetreuung nun geschlossen. Wir merken durch telefonischen Kontakt mit den Angehörigen, dass die Belastungssituation zu Hause immer schwieriger wird, je länger die Einschränkungen dauern.
Unsere Idee ist nun in einem ersten Schritt, neben der telefonischen Beratung, auch Kontakt über neue Medien, WhatsApp, per Mail usw. mit den Angehörigen aufzunehmen. Wir werden kleine Videos erstellen, z.B. über das Haus und den Garten der Tagesbetreuung, mit Grüßen von Mitarbeitern oder auch anderen Angehörigen, wir geben Tipps für Beschäftigungen in der Häuslichkeit, auch Tipps, wie Musik mit eingebunden werden kann usw. Die Videos geben zum einen Hilfestellung im derzeit eingeschränkten Alltag, andererseits sollen die Videos allen auch ein Lächeln aufs Gesicht zaubern, wenn z.B. die Mitarbeiter Grüße an sie versenden und so zeigen: „Wir vergessen Sie nicht und freuen uns schon auf ein Wiedersehen.“.
Im zweiten Schritt, auch über die Corona-Zeit hinaus möchten wir gern eine App entwickeln, in der sich Angehörige mit uns, untereinander und mit weiteren unterstützenden Akteuren austauschen können. Dabei haben wir auch den Vernetzungsgedanken und die Koordination von Selbsthilfegruppen pflegender Angehöriger im Blick.
Gesellschaftlicher Mehrwert
Der demografische Wandel bringt eine steigende Zahl demenzerkrankter Menschen, mit zunehmend auch jüngerem Alter, mit sich. Diese Entwicklung braucht ein Gegenüber in der Versorgung durch Tagesbetreuung, Pflege, pflegende Angehörige und auch psychosoziale Entlastung von Angehörigen durch Beratung und den Austausch in Selbsthilfe-gruppen. Die vorhandenen Strukturen müssen dafür sichtbar gemacht und ausgebaut werden, wo sie in Sachsen-Anhalt noch schwach sind. Als Alzheimer Gesellschaft Sachsen-Anhalt e.V. möchten wir dazu beitragen, die Vernetzung der oben genannten Akteure zu fördern und entsprechende Tools - auch über Corona hinaus - zu Verfügung zu stellen.
Pflegende Angehörige von Menschen mit Demenz profitieren durch unsere Idee, weil der Kontakt außerhalb der Häuslichkeit gehalten wird. Das beugt einer sozialen Isolation und möglichen Krankheiten, wie Depression vor. Mögliche dringende Hilfebedarfe können schneller erkannt werden und Unterstützung geleistet werden. Mit der Entwicklung einer Netzwerk-App würden darüber hinaus auch die Selbsthilfe und ergänzende Unterstützungsstrukturen profitieren.
Skalierbarkeit
Eine Skalierung im ersten Ansatz wäre durch den Einbezug von Betreuung/Pflege im erweiterten Sinne, also nicht auf Alzheimerdemenz beschränkte Angebote möglich. Dabei ergibt sich durch die Skalierung auch die Chance den Nutzen für die primäre Zielgruppe zu erhöhen.
Innovationskraft
In Sachsen-Anhalt gibt es derzeit keine entsprechenden digitalen Vernetzungsangebote, die das gesamte Akteurssystem aus Betreuung, Pflege, Klient*innen und pflegenden Angehörigen in den Blick nehmen. Darüber hinaus ist der Kommunikationsweg mit den Klient*innen und ihren Angehörigen neu, insbesondere dort, wo er dialogisch ausgebaut wird. Innovativ ist ebenfalls die Überwindung einer gegenwärtig noch stark regional/lokal ausgerichteten Arbeitsebene im Bereich Alzheimer/Demenz, die mit der Entwicklung der App auf einer Landesweite Vernetzung ausgeweitet werden soll.
Tragfähigkeit
Die Idee den Kontakt mit den Videos, der telefonischen und Online-Beratung zu intensivieren ist als Erprobungs- und Bedarfserhebungsphase sofort möglich. Die aus diesen Erfahrungen und Learnings zu entwickelnde App sollte mittelfristig, also innerhalb von ca. 6 Monaten möglich sein.
Die Learnings aus der Corona-Krise, die in der Akutphase zur Erprobungschance werden wir die Idee der Videos und natürlich der Beratung fortführen. Es ist eine sehr gute Möglichkeit mit den Angehörigen in Kontakt zu bleiben.
Nachhaltigkeit
Die Angehörigen fühlen sich wertgeschätzt und werden psychosozial unterstützt. Die familiäre Atmosphäre, die sonst in der Tagesbetreuung und in der Kommunikation mit den Angehörigen, herrscht, wirkt durch die neue Kommunikationsform weiter. Wir erwarten positive Effekte für den Gemütszustand und Optimismus der Angehörigen.
Auch nach Corona hat das Projekt positive Wirkungen. Wenn z.B. ein Krankenhausaufenthalt oder Kurzzeitpflege ansteht gibt es dann etablierte Kommunikationswege, die die soziale Verbindung zwischen Tagesbetreuung und Klient*innen/pflegende Angehörige aufrechterhalten und an den Übergängen zwischen den einzelnen Stationen eine verstärkte Handlungssicherheit ermöglichen.
Auf ökonomischer Ebene wirkt sich, im Rahmen der landesweiten Skalierung, die Umsetzung der Vernetzungs-App auf die Effizienz der Unterstützungsstrukturen im Feld Alzheimer/Demenz positiv aus und wirkt im Sinne eines One-Stop-Shops für die betroffenen Familien. | #CareHacktCorona-#stayathome&#stay2gether Tagesbetreuung4.0 | Tagesbetreuung und pflegende Angehörige und ander vernetzen und entlasten. | ['Michael E.W. Ney'] | [] | [] | 15 |
9,879 | https://devpost.com/software/monitoring-der-corona-ad-hoc-massnahmen | SOLVER - Solidarität und Vertrauen
Sicher durch die nächste Krise dank belastbarer Beziehungen
Ein Lösungsansatz zur Herausforderung "Monitoring der Corona-ad-hoc-Maßnahmen" (Care hackt Corona; Kategorie: Menschen mit Behinderung)
Gesellschaftlicher Mehrwert
In Krisenzeiten werden sämtliche Prozesse und Ressourcen von sozialen Organisationen auf die Probe gestellt. Auch in einer solchen Stressphase ist die Erbringung der Kernleistung, in diesem Fall vor allem Assistenz und Begleitung von Menschen mit Behinderungen, unter gesetzten Qualitätsstandards dringend zu gewährleisten. Dazu ist es wichtig, im Normalbetrieb die nötigen belastbaren Beziehungen und dazu vor allem das Vertrauen zwischen den beteiligten Akteuren aufzubauen und zu pflegen. Diese Basis wird im Krisenfall „aufgebohrt“ und übernimmt eine zentrale Rolle für ein vernetztes und solidarisches Krisenmanagement. Damit verhindern wir eine existenzielle Systemschwächung, deren Folgen weit über den Organisationsalltag hinaus reichen würde. Es geht auch darum, gesundheitliche Risiken für Personal und Kunden/Klienten zu vermeiden und eine Überlastung der Verantwortlichen zu verhindern. Hierzu ist wichtig, auch in einer dynamischen Situation stets Rechtssicherheit und Handlungssicherheit herstellen zu können.
Der Verband ist der zentrale Agent zur Koordination und Anstifter dieser Prozesse und Strukturen in den Organisationen. Unsere Lösung „SOLVER“ bietet genau das:
SOLVER stärkt im Normalbetrieb das Vertrauen unter den Akteuren, um im Krisenfall eine professionelle Leistung für die Menschen, um die es geht, zu sichern.
SOLVER hält im Normalbetrieb jene Prozesse lebendig, die im Krisenfall dringend benötigt werden. Sie professionalisieren die Arbeit auch im Normalbetrieb.
SOLVER ist damit die Basis für ein vertrauenswürdiges, solides und schnelles Berichtswesen, damit Politik und Verwaltung die systemrelevanten Dienste schnell und richtig stützen und schützen können.
SOLVER vernetzt Organisationen und Akteure, damit existenzielle Ressourcen (materiell und personell) nachhaltig und solidarisch eingesetzt werden können.
SOLVER fördert den Austausch und die Verbreitung von innovativen praktischen Lösungen für mitunter unvorhergesehene gesellschaftliche Probleme.
SOLVER entlastet gerade in Krisenzeiten Organisationen durch gesteuerten Informationsfluss und die Bereitstellung von Checklisten und Werkzeugen, damit die ohnehin unter Druck geratenen Ressourcen bestmöglich für die Kernleistung eingesetzt werden können.
Skalierbarkeit
SOLVER nimmt zunächst Prozesse und Netzwerkstrukturen in den Blick und ist daher als „Offline“-System für Verbände jeder Größe geeignet. Es ist für jedes Arbeitsfeld der sozialen Dienstleistung einsetzbar, weil es lediglich mit den jeweils fachlich und sozialpolitisch relevanten Inhalten gefüllt werden muss. Die technische Lösung unterstützt die benötigten Prozesse und hält das Gerüst sowie Werkzeuge für den Krisenfall bereit. Als Cloudlösung mit Rechte- und Rollenmanagement dockt sie an die realen Prozesse an und benötigt nur eine vergleichsweise schlanke Architektur. Die “Offline”-Maßnahmen zum „Engagement“ lassen sich in bestehende Meetingstrukturen und Gremienzyklen auf Verbandsebene einbinden.
Innovationskraft und Nachhaltigkeit
Der neuartige Grundgedanke von SOLVER ist, Vertrauen unter Organisationen als die wichtigste Ressource des Risiko- und Krisenmanagements ernst zu nehmen und gezielt zu fördern. Nur so stehen im Krisenfall belastbare Daten und Informationen über Problemlagen bereit und nur so entsteht die Solidarität unter den Organisationen, wenn sie am dringendsten gebraucht werden – dann, wenn alle mehr oder weniger unter Druck geraten. Solver ist eine Haltung wie soziale Dienstleistungen im Verband erbracht werden und ist insofern nachhaltig als sie auch in Normalzeiten zur schonenden Ressourcenverwendung und Professionalisierung im Dienste der Menschen beiträgt.
Tragfähigkeit
Mit einfachen Mitteln lässt sich eine bereits vorbereitete Cloudanwendung ausbauen. Beginnend mit aktuell kritischen Fragen des Beschaffungswesens zur Aufrechterhaltung notwendiger Prozesse (Schutzkleidung etc.) und Austausch von bereits erfolgreich erprobten Lösungen für plötzlich häufig auftretende Probleme lässt sich schnell eine erste Entlastung der Fachkräfte und Organisationen vor Ort erreichen. Lessons Learned können jetzt gesammelt werden, um im ruhigeren Fahrwasser in den „Offline“-Maßnahmen die Basis für einen auch nach der Krise vertrauensvollen und solidarischen Austausch und kontinuierlichen Verbesserungsprozess zu bilden. Kleinere Krisen können so künftig sogar aufgefangen werden, bevor sie zu einer solchen werden.
Problemlöser: Katja Duckek, Benedikt Englert, Mario Fehmer, Kathrin Schwanz (Coach), Britta Wagner
Herausforderer: May Blombach, Manfred Trautwein, Holger Wilms | SOLVER - Solidarität und Vertrauen | Krisenzeiten zeigen, wie wichtig Solidarität u. Vertrauen unter sozialen Organisationen sind. Mit SOLVER stiften Verbände belastbare Beziehungen, fördern Innovation u. entlasten die Praktiker vor Ort. | ['Benedikt Englert'] | [] | [] | 16 |
9,879 | https://devpost.com/software/einsamkeit-im-pflegeheim | Inspiration
Die Bevölkerung wird durch die Medien auf die Einsamkeit in Pflegeeinrichtungen oder alleinstehender Menschen aufmerksam gemacht. Hier kann aber in physischer Form keine Hilfe derzeit angeboten werden, weil keine Besuche, weder von Angehörigen noch von Ehrenamtlichen Helfern möglich sind. Daher haben wir uns gedacht, wir könnten eine emotionale Patenschaft ins Leben rufen, die den Bedürftigen hilft, ihre Situation zu verbessern.
What it does
Wir entwickeln eine Webseite, die unsere Vorschläge näher beschreibt und die an alle sozialen Einrichtungen verbreitet werden kann. Diese kann direkt an Pflegeheime weitergeleitet werden und dort als Quelle genutzt werden. DRK, Caritas – alle Wohlfahrtsverbände und kirchlichen Einrichtungen können diese Webseite entweder bei sich verlinken oder weiterleiten. Jedes bestehende Netzwerk kann genutzt werden. Jedes vorhandene Mittel kann mit etwas Kreativität eingebracht werden.
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Einsamkeit im Pflegeheim | Einsamkeit im Pflegeheim | provide a platform where volunteers can upload voice messages and online messages to be sent to the patients in an old-age home | ['Elizabeth Manikath'] | [] | [] | 17 |
9,879 | https://devpost.com/software/exceldatei-ade-innovative-losungen-sind-gefragt | Die Herausforderung
Der PARITÄTISCHE Baden-Württemberg ist einer von sechs Spitzenverbänden der freien Wohlfahrtspflege. Er steht für sachkundige Beratung und innovative Soziale Arbeit zum Wohle des einzelnen Menschen und der Gesellschaft. Im Zusammenhang mit dem Thema Digitalisierung wurde schon einiges bewegt und geschafft. Eine Baustelle beschäftigt die Mitarbeitenden im Verband schon viele Jahre. Eine kleine Exceldatei, die auch aus dem Jahre 1987 stammen könnte, den Namen Anwesenheitskalender trägt und in die alle Mitarbeitenden einzeln ihre Termine eintragen – ganz old school – und das im Zeitalter der Digitalisierung.
Wer befreit uns von diesem Steinzeitriesen und hilft uns eine moderne, durchdachte Lösung zu finden damit 50 Menschen einen Überblick haben wer wann wo ist?
Upcycling-Trends gewinnen ja heutzutage auch immer mehr an Popularität. Was mit Autoreifen und Milchtüten funktioniert, klappt auch mit unserem Anwesenheitsplaner. Aus Alt mach Neu. Vorbei die Zeiten in denen Termine umständlich doppelt eintragen werden, um dann aus Versehen wieder von jemandem gelöscht zu werden. Vorbei die Zeiten in denen Mitarbeitenden geduldig vor der gesperrten Datei sitzen und darauf warten ihre Eingaben speichern zu können, weil irgendjemand die Datei blockiert. Vorbei die Zeit in denen der Raumplaner umständlich vom Servicepool befüllt werden muss oder Termine für den Verband mühsam aus Dateien entnommen werden müssen. Vorbei die Zeit, in denen ein Programm für eine Lösung missbraucht wird, für die es absolut nicht gemacht wurde.
Gesellschaftlicher Mehrwert
In erster und direkter Form profitieren von der erarbeiteten Lösung die Beschäftigten des PARITÄTISCHEN Landesverbandes Baden-Württemberg. Da dort eine deutliche Erleichterung bei administrativen Tätigkeiten erreicht wird werden Ressourcen frei, die in gesellschaftsrelevante Arbeiten fließen können.
Skalierbarkeit
Die Lösung lässt sich auf alle Einrichtungen und Teams übertragen, die bisher eine Excel-Tabelle oder ähnliches einsetzen um Anwesenheiten/Abwesenheiten von Teammitgliedern zu kommunizieren. Im Idealfall ist, wie beim PARITÄTISCHEN, auch Bereits Outlook/Exchange im Einsatz, sodass Neuanschaffungen entfallen.
Innovationskraft
Ein nur zeitversetzt nutzbarer Kommunikationskanal der viele Nerven gekostet hat wird durch eine funktionale Variante ersetzt, die auf parallel nutzbare Exchange-Funktionalitäten aufsetzt.
Damit wird die “Zweckentfremdung” von Excel durch die Nutzung aktueller Softwareprodukte ersetzt um die Arbeit zu vereinfachen, zu beschleunigen und die Datensicherheit zu gewährleisten.
Tragfähigkeit
Die Idee lässt sich mit Hilfe des erarbeiteten Konzeptes sowie dem erstellten Schulungsmaterial im Rahmen von Betriebsinternen Vorgaben sehr zeitnah umsetzen, da der erforderliche Lernaufwand für die Mitarbeitenden sehr überschaubar ist und die Lösung sich optimal in die bestehenden Vorgänge integriert.
Eine Herausforderung zu Beginn wird sicherlich sein, alle Kollegen*innen von der Sinnhaftigkeit des Umstiegs zu überzeugen bzw. Sie zur Nutzung der Lösung zu bewegen. Dabei sollen die ausformulierten Benefits der neuen Lösung unterstützen.
Eine langfristige Wirkung des Projektes tritt automatisch ein, wenn die Belegschaft die neue Lösung nutzt, die Vorteile erfährt und die alte umständliche Variante entfällt. Die neue Lösung ist etwas, was nicht einmalig eingesetzt oder durchgeführt wird. Sie soll und wird den Arbeitsalltag auch in Zukunft begleiten.
Nachhaltigkeit
Die Lösung ersetzt nicht nur eine umständliche, ärgerliche und veraltete Variante der Kommunikation, sondern bietet auch eine Basis, um Terminierungsfunktionalitäten in Outlook intensiver zu nutzen. Dies fördert durch die Vereinfachung von Terminkoordinationen das soziale Miteinander.
Im ökonomischen Sinn entstehen keine zusätzlichen Kosten, da Outlook und Exchange bereits vorhanden und in Betrieb sind. Es werden bislang brachliegende Funktionalitäten in eine aktive Nutzung überführt. Die Vereinfachung durch die neue Lösung ermöglicht freigewordene Ressourcen an anderer Stelle für den Verband und die Gesellschaft zielführend einzusetzen.
Built With
exchange
outlook | Exceldatei ade – innovative Lösungen sind gefragt! | Eine Tragödie findet ein Ende. | ['Cengiz Şahin', 'Steffen Windhab', 'Johannes Reimund', 'Sabine Oswald'] | [] | ['exchange', 'outlook'] | 18 |
9,879 | https://devpost.com/software/psychological-first-aid-online | Inspiration
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
Our Plan going forward/Business Plan
Built With
libraries | Helpers | Helpers Online | ['Prashant Jain', 'Anirban Biswas'] | [] | ['libraries'] | 19 |
9,879 | https://devpost.com/software/machbarschaft-servicetelefon-altere-menschen | Icon
Startseite
Registrierung
Auftragsübersicht
Auftragdetails
Facebook
Webseite
Wie MACHBARSCHAFT entstand
Die Idee zu MACHBARSCHAFT wurde in einem Mehrfamilienhaus in München geboren. In diesem Haus wohnen Menschen (& Familien) aller Generationen. Teilweise sind die Bewohner über 80 Jahre alt und haben keinerlei Angehörige, die sich um die alltäglichen Besorgungen kümmern können. Um diesen Menschen den Alltag einfacher und sicherer zu gestalten, wurde ein Post-It mit Hilfsangebot sowie persönlicher Telefonnummer im Aufzug platziert. Dies hat zu Reaktionen geführt. Das Angebot wurde dankend begrüßt und angenommen. Es hat sich gezeigt, dass ältere Mitbürger Hilfsangebote im Internet selten wahrnehmen. Eine medienbruchfreie Lösung ist nötig und wurde so geboren.
Die MACHBARSCHAFT - ein Anruf hilft.
Inspiration
Die durch COVID-19 ausgelöste Krise stellt Deutschland und die Welt vor bisher noch nie dagewesenen Herausforderungen - insbesondere im Füreinander und Miteinander. Die hohe Ansteckungsgefahr des Virus erfordert die Quarantäne von Infizierten, Verdachtsfällen sowie Angehörigen von Risikogruppen. Dadurch kommt es zu Versorgungsschwierigkeiten im häuslichen Umfeld. Bereits einfache Einkäufe oder auch überlebenswichtige Apothekengänge können nicht mehr selbstständig erledigt werden. Wie durch das Robert Koch-Institut empfohlen, wird die Versorgungslücke derzeit solidarisch durch Unterstützung von Familie und direkten Nachbarn bestmöglich geschlossen. Digitale Medien und digitale Kommunikation, derer sich die vorwiegend jüngere Generation bedient, unterstützen diese solidarischen Handlungen enorm. Doch für einen erheblichen Teil der älteren Generation sind eben diese Kommunikationsplattformen unzugänglich. Da insbesondere viele dieser Menschen bereits durch ihr Alter Risikogruppen angehören und deshalb direkter Personenkontakt unbedingt vermieden werden soll, ist ersichtlich, dass für sie diese Versorgungslücke noch drastischer ausfällt.
An diesem Schlüsselpunkt macht es MACHBARSCHAFT möglich, die Hilfesuchenden ohne Internetzugang über einen einfachen Telefonanruf mit den Smartphone-nutzenden Helfer*innen (MACHBAR:INNEN) effizient in Kontakt zu bringen.
Was ist MACHBARSCHAFT
Unsere App stellt das Bindeglied zwischen der jüngeren digital-native Generation und der älteren hilfsbedürftigen Generation dar. Hilfsbedürftige müssen lediglich einen Telefonanruf tätigen und genau abgefragte Informationen angeben. Das Telefonat mit dem Bot wird im Hintergrund verarbeitet und schließlich in Form von Aufträgen in unserer App dargestellt. Nun kommt die jüngere Generation ins Spiel. Das sind die App-Benutzer, oder wie wir sie nennen, die Helfer (MACHBAR:INNEN). Sie wählen einen nahegelegenen Auftrag aus, kontaktieren die/den Hilfsbedürftige(n) telefonisch um die genaue Art und Größe der Erledigung zu vereinbaren. Der Helfer macht sich auf den Weg, besorgt die dringend benötigten Gegenstände und bringt diese zum Hilfsbedürftigen nach Hause. Die Geldübergabe erfolgt entweder vor oder nach dem Einkauf, je nach Vereinbarung. Um einen entsprechenden Infektionsschutz zu gewährleisten, wird der Umschlag an der Türschwelle platziert, sodass es zu keinem direkten Kontakt kommt.
Teste mich
Du willst dich selbst davon überzeugen, wie es sich anhört, wenn du mit unserem Service telefonierst? Ruf einfach an unter +49 40 299960980 und finde es heraus!
Deine Daten werden an unsere Datenbank übertragen und dein Auftrag kommt bereits real in unserer App an. Wird dein Auftrag nicht angenommen, erhältst du nach 24 Stunden einen Anruf, dass dein Auftrag leider niemand bearbeiten konnte.
Beide Sequenzen kannst du testen, indem du am Anfang des Anrufes zwischen beiden auswählen kannst (damit du nicht 24 Stunden auf deinen Rückruf warten musst).
Our Way until now
Der Grundstein für das Projekt MACHBARSCHAFT wurde während der 48 Stunden des #WirVsVirus-Hackathons der Bundesregierung gelegt. In diesem Zuge wurden wir aus ca. 1500 Projekteinsendungen ausgewählt und zusammen mit 19 weiteren Projekten direkt in ein Förderprogramm des Bundes aufgenommen.
Unser Projekt befindet sich in ständigem Wandel und Wachstum, weshalb wir froh sind, dass wir unsere Mission, älteren Menschen in diesen Zeiten zur Seite zu stehen, beim #CAREhacktCORONA-Hackathon weiter voran treiben konnten.
Doch nicht alles lässt sich digitalisieren. Aus diesem Grund hoffen wir, mit möglichst vielen sozialen Einrichtungen zusammenarbeiten zu können. Wir hoffen, mit unserer Plattform einen Beitrag zur Organisation der Hilfeanfragen sowie deren Verteilung auf (freiwillige) Hilfskräfte leisten zu können.
Gesellschaftlicher Mehrwert
Unser Projekt sorgt durch die Koordination der verfügbaren Hilfe für Vorteile und Zeitersparnis sowohl bei Hilfesuchenden als auch bei den freiwilligen Hilfer:innen. Dadurch profitieren alle beteiligten Gruppen, also vorwiegend ältere Leute als Hilfesuchende und jüngere Menschen als Hilfer:innen. Unser Projekt sorgt zudem durch Automatisierung und Verifikation für Verlässlichkeit, Vertrauen und Transparenz, die für eine gute, vertrauensvolle Organisation der Hilfeleistungen notwendig sind.
Skalierbarkeit
Unsere Plattform setzt einerseits auf den Anbieter Twilio, der auch von großen Konzernen für Service-Hotlines eingesetzt wird, sodass die Skalierbarkeit beinahe frei nach Anfragelast möglich ist. Ebenso liegt das Backend in der Google Cloud, die sich ebenso schnell und einfach skalieren lässt. Darüber hinaus lässt sich unsere Infrastruktur leicht um neue Möglichkeiten wie z.B. spezielle Angebote sozialer Einrichtungen in bestimmten Gebieten erweitern. Bei Hilfeleistung und Hilfeanfragen sind wir natürlich auf die Menschen vor Ort angewiesen. Durch stetig wachsende Pressepräsenz sowie in Zukunft hoffentlich mit sozialen Einrichtungen sind wir zuversichtlich, auch gerade den Kontakt zu den älteren Menschen herstellen zu können.
Innovationskraft
Apps zur Nachbarschaftshilfe und einzelne spezifische Servicehotlines gibt es viele. Doch unsere Lösung verbindet eine vollautomatische Hotline mit von Menschen eingesprochener Stimme (um gerade für die älteren Menschen das Gefühl, "normal zu telefonieren" aufrecht zu erhalten) mit einer App für Freiwillige. Durch diese Verbindung wird zwischen der "analogen" und der "digitalen Generation" die Brücke geschlagen, die so dringend nötig ist. Da keine Freiwilligen auf die Bearbeitung der Telefonanfragen verwendet werden müssen, können wir die volle Aufmerksamkeit der eigentlichen Hilfeleistung widmen und die Kosten der Infrastruktur minimieren.
Tragfähigkeit
Dank langer und motivierter Arbeit unseres Teams seit dem #WirVsVirus-Hackathon und jetzt beim #CAREhacktCORONA-Hackathon ist unsere Hotline weitgehend einsatzbereit und die App steht kurz vor der Veröffentlichung. Damit ist die Technik der Idee schon beinahe fertiggestellt. Ist dieser Schritt getan, kann es mit der Arbeit von Freiwilligen und den Anrufen von Hilfesuchenden auch schon losgehen. Ab diesem Zeitpunkt ist die öffentliche Wahrnehmung besonders wichtig, damit wir schnell viele Helfer und gerade auch Hilfesuchende erreichen. Dies hoffen wir, durch das Förderprogramm des Bundes sowie gerade auch Kooperationen mit lokalen sozialen Einrichtungen, die direkten Kontakt zu beiden Zielgruppen pflegen, möglich machen zu können.
Unsere Pläne für die Zukunft sehen so aus: Im ersten Schritt möchten wir unsere Mission erfolgreich erfüllen und den älteren Menschen helfen, ihren Alltag in dieser schweren Zeit einfacher zu gestalten (LAUNCH). Danach werden wir MACHBARSCHAFT um neue Use Cases und Zielgruppen skalieren (SCALE). In einer Zeit nach Corona (Post-Corona) sehen wir zahlreiche Möglichkeiten für strategische Partnerschaften (Partner aus den Bereichen Mobility Services, Apotheken, Ärzte & Krankenkassen, Einzelhandel, Banken sowie Öffentlichen Behörden) und Technologie-Erweiterungen, die MACHBARSCHAFT zu einer wertvollen, sinnvollen und bedeutenden Säule in Ihrem und unserem Alltagsleben machen (EXPAND).
Nachhaltigkeit
Mit unserem Projekt hoffen wir, z.B. alleinstehenden älteren Menschen das Gefühl der Hilflosigkeit und Einsamkeit nehmen zu können, indem der Kontakt zu freiwilligen Helfern vermittelt wird. Wir hoffen, dass dieser Kontakt irgendwann eine gewisse Eigendynamik entwickelt, sodass direkte und langfristige Kontakte auch für die Zeit nach Corona entstehen. Auf diese Weise könnten viele Probleme für ältere Menschen gelöst werden, die auch vor Corona schon bestanden haben, nur weniger Aufmerksamkeit bekommen haben. Sobald die akute Infektionsgefahr gebannt ist, könnte man auch über z.B. Fahrgemeinschaften zum Einkaufen nachdenken, die sehr positiv im Sinne der Umwelt wären.
How we built it
Backend
Um Anrufe von möglichst vielen Menschen gleichzeitig verarbeiten zu können, ohne auf ein konventionelles Callcenter zurückgreifen zu müssen (auch hinsichtlich des COVID-19-Infektionsrisiko der Callcenter-Mitarbeiter), haben wir den Dienst Twilio benutzt. In diesem haben wir einen leicht verständlichen Gesprächsablauf modelliert, in dem alle nötigen Daten für eine Hilfeanfrage erhoben werden. Um ältere Menschen nicht von roboterhaften Stimmen abzuschrecken, haben wir die Fragen selbst eingesprochen.
Die erhobenen transkribierten Daten werden dann an per POST-Request an eine Firebase-Function (Javascript/NodeJS) gesendet, die versucht, aus der gesprochenen Adresse per Google Maps API Längen- und Breitengrade zu generieren. Diese Daten werden dann zusammen mit Namen und Anfrage in einer Firestore-Datenbank gespeichert, sodass diese für Freiwillige in der Nähe sichtbar wird. Eine weitere Firebase-Function löst nach 24 Stunden einen Rückruf über Twilio aus, falls kein Freiwilliger gefunden werden konnte.
App
Um eine bestmögliche Nutzererfahrung zu gewährleisten, programmieren wir die App nativ für iOS (Swift & UIkit für das Frontend) sowie Android (Java). Diese Apps kommunizieren mit der zentralen Datenbank von Firebase, Cloud Firestore (NoSQL). Dafür haben wir das zur Verfügung stehende SDK für Android sowie iOS von Google verwendet.
Funktion und Design orientieren sich die beiden Apps an dem erstelltem
Wireframe
.
Nachdem sich die Nutzer ein Konto angelegt haben, müssen Sie ihren Account per SMS-Bestätigung verifizieren. Vorab wird der Nutzer über den Ablauf in der App aufgeklärt und ihm die Vorgehensweise beim Erledigen von Hilfegesuche nahegelegt. Nach erfolgreichem Login sieht der Nutzer Hilfegesuche in seinem Umkreis. Diese werden auf einer Karte und in einer Liste visualisiert. Vorab sieht der Nutzer nur die nötigsten Informationen, um größtmöglichen Datenschutz zu ermöglichen und gleichzeitig vorab eine kleine Entscheidungshilfe anzubieten.
Sobald er sich dazu entscheidet einen Hilfegesuche nachzukommen, muss er dies bestätigen und erhält dann weitere Informationen. Er kann den Hilfesuchenden nochmals kontaktieren und sich austauschen über eventuelle Unklarheiten. Jetzt kann er sich aufmachen und alles weitere erledigen. Sobald er den Auftrag abgeschlossen hat, kann er dies bestätigen.
Sollte ein Auftrag nach 24 Stunden nicht angenommen worden sein, wird die Person per Rückruf über die Situation informiert und es wird ihr die Entscheidung überlassen, ob sie den Auftrag weiterhin bestehen lassen, oder ihn zurückziehen möchte.
Website
Als zentrale Informationsplattform für interessierte freiwillige Helfer dient unsere schlicht gehaltene Website. Die rein statische Website
machbarschaft.jetzt
basiert auf einem Bootstrap-Theme, welches mit den Technologien HTML5 sowie CSS3 (SCSS) umgesetzt wurde. Ein CMS wurde bisher nicht umgesetzt. Da die Website in jeder Situation aufgerufen werden kann, wurde auf ein responsives Layout Wert gelegt.
Die Website dient neben der Gewinnung von neuen freiwilligen Helfern für unsere nativen Apps auch zur Bewerbung unseres gesamten Konzepts gegenüber zukünftigen Unterstützern. Da sich unsere Zielgruppe der Hilfesuchenden hauptsächlich über analoge Kanäle informiert, können sich Unterstützer einen ansprechenden MACHBARSCHAFT-Flyer herunterladen, welche in der Nachbarschaft aufgehängt oder in Briefkasten verteilt werden können. Hiermit können schlussendlich beide Zielgruppen parallel angesprochen werden - freiwillige Helfer und Hilfesuchende.
How did we work
Ticketsystem:
Trello
Repository:
GitHub
Abgabe Plattform:
Devpost
Website: HTML, CSS, Bootstrap
machbarschaft.jetzt
Wireframe:
Figma
Social Media
Wir sind auf
Facebook
und
Instagram
.
Code
Unseren Code kann man auf
GitHub
finden.
Was wir gelernt haben
Wir haben gelernt, dass außergewöhnliche Situationen außergewöhnliche Handlungen erfordern und man mit dem entsprechenden Willen und Motivation Unglaubliches erreichen kann!
Ebenso haben wir gelernt aus unserer Komfortzone zu kommen. Es war nötig sich mit völlig fremden Menschen in direkten und schnell engen Kontakt zu begeben. Auch wenn wir ab und an an unserer Grenzen in Bezug auf unser Können und unsere Energie kamen, konnten wir uns gegenseitig motivieren weil für uns alle “the greater good” im Vordergrund stand.
Built With
adobe-illustrator
android
ardour
bootstrap
css3
firebase
github
html5
imovie
ios
java
javascript
keynote
passbase
photoshop
swift
twilio
uikit
Try it out
machbarschaft.jetzt | Machbarschaft - ServiceTelefon (Ältere Menschen) | Unsere App macht es möglich, mit nur einem Anruf um Hilfe zu bitten. Welche von Helfer:innen in der Nähe gehört und umgesetzt wird. | ['Jenny Lam', 'Marc Sommer', 'Felix Beil', 'Asha Olol', 'David Schmidt', 'Kilian Schneider', 'Alexander Hodes', 'felixschlegel', 'Manuela Greipel'] | [] | ['adobe-illustrator', 'android', 'ardour', 'bootstrap', 'css3', 'firebase', 'github', 'html5', 'imovie', 'ios', 'java', 'javascript', 'keynote', 'passbase', 'photoshop', 'swift', 'twilio', 'uikit'] | 20 |
9,883 | https://devpost.com/software/psonic | Home Screen
Inspiration
Everyone knows that you should keep a secure password for every online (or offline) account you have. Unfortunately, that's much easier said than done. Ideally, we'd all have 50-character, randomly generated, alphanumeric + special character passwords that would be impervious to pretty much any attack you could think of, but the truth of the matter is that such passwords are impossible to remember, making them massively inconvenient to use. What this means, realistically, is that most people use wildly insecure passwords (oftentimes the same one for multiple sites) in an effort to maximize memorability and subsequent ease of access. As it stands, there exists a tradeoff between password security and memorability; you must sacrifice one to attain the other. Our aim in this project is to fix this.
What it does
Psonic is a password manager, equipped with password generation and encrypted storage. I know, doesn't sound very unique so far. What makes Psonic different from (read, superior to) any other password manager is its mnemonic generating capabilities. Unlike similar software, Psonic is designed to help you remember your important passwords on your own, so you can easily log into whatever you must
without
having to open the program every time, while still maintaining the security of a randomly generated password. Not sure exactly what this means? Here's an example:
u0mPhP.arLE&S! ---> "unbearable zero-mouthed Patricks hate Pontiacs. armies repair Lithuanian Esthers and Saturns!"
With mnemonics, we are able to turn the jumbled mess of characters that is "u0mPhP.arLE&S!" into something that is much easier on the eyes, and more importantly, much more memorable (the absurdity helps!). We are able to perform such transformations thanks to our state of the art mnemonic generation algorithm. In fact, our algorithm is unrivaled in sophistication, making it
the most advanced mnemonic generation algorithm in the world
(when it comes to variability of input). Don't believe me? Go check out our competitors. Most tools you find will be limited to the twenty-six lowercase letters of the alphabet, and none will be able to handle letters (both cases), numbers, and special characters combined. This fact means that Psonic is the
only
mnemonic program capable of processing truly secure passwords.
How we built it
Psonic is built with Electron, which is a framework that allows you to use web development tools such as HTML, CSS, and JavaScript to develop desktop applications. It also relies on other node.js modules such as
lodash
and
list modules
.
Challenges I ran into
Psonic's development was not void of challenge—quite the opposite actually. To develop this app, we had to learn how to use a completely alien framework (Electron) and encrypt/decrypt files with AES as well as actually develop an algorithm that creates mnemonics, which was no easy task. I (Ken) spent over eight hours writing the algorithm declaratively in Prolog, only to realize upon compilation that no interpreter (let alone one written in JavaScript) could run the code nearly as fast as we needed it to, and subsequently had to rewrite it imperatively in JavaScript. And don't get me started on the bugs. Even after the algorithm was up and running, there were still hours on hours to spent finding and squashing bugs.
Accomplishments that I'm proud of
As mentioned before, this software is the best of its kind (as of the time of release), unmatched in its range of input. I'd say that's not too bad for a three-day hackathon. On top of this, we also had to learn how to actually use Electron (and brush up on our JavaScript). This is no easy feat, and is also something to be proud of, for sure.
Built With
bootstrap
css3
electron
html5
javascript
node.js
Try it out
github.com | Psonic | If you use this password manager correctly, you won't even need it. | ['Ken Myers', 'Michelle Nguyen', 'Cathy Tran', 'Ahmad Abdallah'] | ['First Place'] | ['bootstrap', 'css3', 'electron', 'html5', 'javascript', 'node.js'] | 0 |
9,883 | https://devpost.com/software/phishingnet | Extension detects a phishing site
Extension detects a good site
Logo
Inspiration
Phishing is one of the most common cyberattacks in the world, and over 12 billion dollars are lost each year to phishing attacks. This problem is also personal to us, as we have family members who fallen victim to phishing attacks. Businesses spend tens of millions every year trying to safeguard themselves from these attacks. Many people have lost their life savings after falling victim to these attacks. This disproportionately affects those who less familiar with technology, who are more likely to fall prey to these attacks. Solutions to phishing are generally for the user to keep things in mind when browsing the web and checking their emails, but these are easy to forget. Our extension is designed to remove the reliance on remembrance, and let the computer help the user stay safe.
What is phishing?
Phishing most commonly occurs when one receives an email from an imposter, and the imposter tries to get their target to turn over information. Usually, you are redirected to a fake webpage where you are directed to log in, and you accidentally enter your true credentials/payment info into the website. That website then logs this information, and will use it to hack into your accounts and to get control over your credit card.
What it does
We designed PhishingNet, a Chrome extension which uses Deep Natural Language Processing and checks if a website has a valid HTTPS certificate to detect phishing. The extension provides an icon in the toolbar which the user can click on to see if a website is a phishing website or not.
Frameworks Used/How we built it
The extension uses the WebExtensions platform, which is the standard for developing extensions for all of the major browsers. All of the browser-side logic is written in JavaScript and React.js, and the popup UI is built with HTML and the Semantic-UI-React framework. The web scraper API is built using Node.js, and the machine learning API is built using ASP.NET Core Web API. The machine learning model uses Microsoft's ML.NET framework.
Control flow
User opens up website
User clicks on our browser extension, and the popup is shown on the screen.
The extension captures the URL and sends it over a POST request to our scraper API, which scrapes the HTML from the page and sends it back.
The extension parses the HTML to find the main paragraphs, which are the most telling in detecting phishing.
The extension then sends the main paragraphs to the machine learning API, which returns a phishing prediction and its confidence that it is correct.
We check if the site has a valid HTTPS certificate.
The popup now shows the user a summary of the information, and an overall decision for whether the site is phishing or not.
Challenges we ran into
We initially planned on scraping the HTML locally (client side), but we realized that it would cause a lag. We resolved this through doing this on a server (hosted by Heroku) that would scrape the HTML.
We were unsure about which platform we should use to create the model. We initially planned on using IBM Watson's Text Classifier, however we had issues with launching our model on there. Furthermore, this was hard to scale, as IBM charges per request (a relatively expensive amount), along with a fee for an account or training. Because of this, we chose to use Microsoft's open source ML.NET framework to train the model. We then used DigitalOcean to host this API, which is open for use by other developers.
Accomplishments that we're proud of
We were able to create a fully functional extension, which we're releasing to the Chrome Web Store (hopefully our submission to the web store is approved in time for judging).
We made an application that could scale, and used open source frameworks that are known for reliability
We created two APIs that we integrated into our extension, which we made open source. This means that we can get improvements from the community, and others will be able to use our work in their own code. Furthermore, we are allowing other developers to build similar solutions with our APIs, furthering the fight against phishing.
What we learned
We learned how to train a machine learning model using the ML.NET framework. We also learned how to use JavaScript and React.js to create a chrome extension, which none of us had done prior to this. Furthermore, we learned how to create web APIs in both Node.js and ASP.NET Core, and how to integrate the ML.NET model into an API.
What's next for PhishingNet
We are in the process of publishing version 1.0.0 to the chrome web store. We have run UX tests on our family and integrated their feedback in this extension. In the future, we hope to train our model on different languages, to ensure that this project can scale globally.
Built With
api
asp.net
asp.net-core
c#
css3
heroku
html5
javascript
machine-learning
ml.net
node.js
react
webextensions
Try it out
github.com
github.com
github.com | PhishingNet | Detecting Phishing through an NLP-Powered Chrome Extension | ['Benjamin Smith'] | ['Second Place'] | ['api', 'asp.net', 'asp.net-core', 'c#', 'css3', 'heroku', 'html5', 'javascript', 'machine-learning', 'ml.net', 'node.js', 'react', 'webextensions'] | 1 |
9,883 | https://devpost.com/software/elvs | My team members were Erin Blasingame, Lauren Sutter, and Sydney Hermance
Inspiration
We didn't have much knowledge regarding cybersecurity, so we thought it would be a great idea to create an interactive app that educates users about cybersecurity.
What it does
The app provides basic knowledge about cybersecurity as well as a quiz that allows them to test their knowledge. In addition, the app also has a password rater that allows users to input passwords and receive a rating based on its strength.
How I built it
We built the app through Thunkable.
Challenges I ran into
One of the challenges we ran into was creating the quiz because it took a long time to format.
Accomplishments that I'm proud of
One of the accomplishments that I am proud of is our ability to work together as a team to create a functional app. We were able to divide the work evenly and efficiently work together.
What I learned
I have learned how to design and create an app on a basic level. Our team had to work through many challenges such as formatting and sharing the code, so we are proud of our creation.
What's next for ELVS
ELVS can be expanded into an app that is fully interactive and provided users with more activities such as the password rater and the quiz. We would like to introduce more interactive components such as VPN etc.
Built With
thunkable | ELVS | Cybersecurity for a dummy | ['Vidushi Sabnani', 'Sydney Hermance', 'lauren sutter', 'Erin Blasingame'] | ['Third Place'] | ['thunkable'] | 2 |
9,883 | https://devpost.com/software/gone-phishing-2ubd6e | Inspiration
built for a cybersecurity hackathon
What it does
a quiz game that is designed to teach about the risks of phishing
Challenges I ran into
time limit
What I learned
4 days is not enough time for a full fledged game
Built With
greenfoot
java | Gone Phishing | A game to teach people about phishing | ['Henry Ballweg', 'Quinten Sustaita-Robb', 'Ruth Hong', 'Minh Nguyen'] | [] | ['greenfoot', 'java'] | 3 |
9,888 | https://devpost.com/software/venuer | Venuer
Inspiration
During the time of Corona, many companies suspend their activities, the whole world got effected by the pandemic, and definitely will not be the same after Corona, big events will be avoided from now but humans need a face to face contact to gain trust! Venues are now having a difficult time and problems to find customers! they lack of visibility.
So we came up with solution to solve all this, providing safe venues, and enabling new alternative for the companies.
What it does
We developed an API restful to help companies integrate meeting spaces and venues in their platform.
After the conversation between the B2B concluded to have a face to face meeting, Venuer takes the location of both of them, then gives results about best meeting places possible in their area.
How I built it
It was built on python as backend, django for frontend, it has the accessibility to show results according to User's location, both the two users' location and even their midpoint location, in order to give more alternative results and choices.
Challenges I ran into
Realizing the Idea and make it feasible, dealing with online Hackathon as it is my second one but was better than the previous.
Accomplishments that I'm proud of
I am proud of my self to participate in two challenges, in Predictovid and Venuer.
What I learned
I learned many tools and online services to brainstorm and prototype idea, such as Miro, its really helpful!
What's next for Venuer
Small improvement to be more efficient, later on will be providing more features to give better results for businesses.
Built With
api
django
postgresql
python | Venuer | Venue booking API for Companies & Venue provides | ['Mohamed Aymane Zizi', 'Anne Laure Zouater'] | [] | ['api', 'django', 'postgresql', 'python'] | 0 |
9,888 | https://devpost.com/software/challenge_new_customers | Start screen of our app. This app helps businesses to easily apply our newly developed BTB-framework.
What's our challenge?
A chemical SME is looking for new ways to generate value and to find new customers in times of crisis.
Our solution
Using tools and people.
Leveraging the existing networks, so no cold calls
Building on trust through employees and customers
Give & take approach
Built With
adobexd | Business Trust Business | The best way of doing B2B business in times of crisis | ['Johannes Richter'] | [] | ['adobexd'] | 1 |
9,888 | https://devpost.com/software/ppecert | Audit and consulting services for medical personal protective equipments. Professional and Pragmatic support in achieving regulatory compliance.
Built With
wix
Try it out
chentengde.wixsite.com | PPECert | PPE certification consulting & services. Regulatory compliance assistance for entering the EU market. | ['Roman Prytuliak'] | [] | ['wix'] | 2 |
9,888 | https://devpost.com/software/predictovid-g154yq | Presentation:
https://slack-files.com/T010R7Y3M98-F011X9N8M7W-98c69226a9
Inspiration
There is a need for accurate detection of COVID-19
Chest X-Rays/ CTs as second test are more reliable
Support the doctors with AI technology to diagnose and predict the progress of the disease
Increases the survival rate of the patient
What it does
COVID-19 tests are not reliable | Analyze lungs directly
Time consuming analysis protocol! | AI as a faster pipeline
Doctors don’t trust AI black-box | Our pipeline has similar steps as doctors do!
Patient’s info not used fully | We use all data for final severity prediction
How we built it
Segmentation of lungs
Highlight of damaged regions
Calculation of damage degree
Prediction of COVID-19 severity using patients’ data and damage degree
Web frontend for the doctor to see a patients X-Rays and their "severity prediction score". An overlay can be activated to show the machine learning analysis.
Challenges we ran into
Creating the machine learning model.
What's next for Predictovid
Pitching it to doctors.
Built With
angular.js
machine-learning
python
Try it out
coronathon.achim-rohn.de
slack-files.com | Predictovid | An AI tool predicting severity of lung damage with X-ray imagery and patients’ data | ['Mohamed Aymane Zizi', 'Achim Rohn', 'Janine Becker', 'Axel Stebner', 'notagenius Xi', 'Paolino De Falco'] | [] | ['angular.js', 'machine-learning', 'python'] | 3 |
9,890 | https://devpost.com/software/respire-loi98e | Our key engineer demoing the entire ready to execute hardware
Complete View of Hardware Device before Code Upload and Testing
Side-View of the Hardware
Side View of Entire Prototype with key parts attached
Clean and sleek casing of circuitry and wiring
Upper View of the Raw Circuitry and Control Buttons of the Prototype
Uploading the code before testing
Integration, Placement and Testing of the Servo Motors
Integration, Placement and Testing of the Servo Motors
Our workstation for the weekend while our team works hard on design and coding across 3 countries and different time zones!
Close-up view of the bag valve compressor fitting
Carpentry at work for creating the wood and glass casing
Raw materials and tools for the weekend!
Working hard on making the wood casing using home based tools
App landing page
App screenshot
App screenshot
App screenshot
Letter of intent 1
Letter of intent 2
Inspiration
When the New York state governor demonstrated using a bag-mask compressor in a press conference and mentioned that the state will be soon out of ventilators, it was the first realization to our team. In a country like India once the pandemic blows over, the ventilators will not be enough and the patients, medical staff, their family will have to re-integrate in the environment in a safe and friendly manner. Over the next few days, we came together as a team with both the hackathon and COVID-19 in mind, we started gathering materials and components build the device. We even started to talk to doctors and hospitals and got good demand and validation from them and finalised on an idea to build over the weekend.
As we go deeper in the pandemic, hospitals will see a spike in demand for ventilators, non breather masks, CPAP machines and ambu bag implementation, as confirmed by numerous medical teams we interviewed. With current bag valve mask technology and ventilator, a medical health professional needs to be with the patient 24/7 to manually operate the bag valve mask, if not a ventilator. This would be gruesomely tiring for the medical teams and would also expose them to the infected patients for extended periods of time. The understanding stands that the coronavirus damages the hosts lungs by almost 30%. This means that a patient who is affected by coronavirus is susceptible to viruses/diseases affecting the lungs and has lesser power to battle the same. In a post COVID-19 world it is extremely necessary to be prepared for emergencies related to such patients and be in abundance of ventilators and respirators that can be used at will.
What it does
Our solution is a IoT portable ventilator device called reSPIRE that will provide respiration support to COVID-19 patients by compressing the bag valve mask at the correct breaths/minute, inhalation/expiration ratio, and tidal volume. It can be controlled by an operator using the on-system controls or using a control on an app. The device can be switched between pressure and volume modes making it seamless just like an actual ICU ventilator. Our app, integrated with the device, will enable the health care professionals as well as the patient caregivers to remotely monitor and control pressure, volume, and flow rates in response to changing patient behavior such as FIO2 levels. Post the COVID-19 pandemic, it will assist doctors to care for remote patients, as they re-integrate themselves into the world.
In a simple explanation, the reSPIRE device helps rhythmically compress the bag valve mask to provide air to the patients as a non-invasive medical procedure. However, it is much more sophisticated as it allows medical professionals to change various parameters of how the air is delivered, just like a ventilator. The device allows changing the tidal volume delivered, breaths per minute( BPM) as well as the inspiration:expiration ratio( I:E ratio). The device is also equipped with modes such as the SIMV-P and SIMV-C mode which runs the device on a feedback loop and allows it to auto-adjust based on the current state of the patient thus aiding the breathing of the patient. The device can be controlled using the on-board switches and knobs. The device has been coupled with a WiFi module which transmits the data to a cloud database which has been configured in SQL for easy storage of data based on the structure. The data is further picked up by a mobile application to further view the data as well as modify the controls using an internet connection. The data stored in the SQL Server is shifted to an AWS cloud repository for storage at a fixed time and at a fixed frequency to keep the databases empty. The data stored on the cloud repository further can be used for analytical purposes as well as profiling the patients under care and their breathing requirements during ailment.
How we built it
We used the opportunity of the hackathon to first ideate, make a proper design on paper and also take feedback from medical professionals in our network. Then over the weekend we paced up prototyping, testing and validating the product.
Since what we are offering is a complete end to end product, we have numerous components that we are developing simultaneously, trying to make them more intuitive and context relevant. We used this opportunity to align these different components to make it more a holistic product. We even made a glass based wood casing using home based materials for proper prototyping.
The Electronics of the device is simple yet sophisticated to match the scale of a medical device. For our prototype, we’ve used an OSEPP Max- Arduino Compatible board along with a DS3235 Servo motor. There are 3 pressure sensors used in devices which serve different purposes.
The differential pressure sensor in the device helps measure the flow of air from the bag mask to the patient. The flow can be controlled and eventually used to measure the Tidal Volume of the respirator.
The gauge pressure sensors help measure the expiratory pressure and the plateau pressure generated by the respirator. These are critical measurements in terms of the device being medically feasible. The second gauge pressure sensor allows recording the activity of the patient. If a patient tries to put an effort into breathing himself/herself, the gauge pressure sensor records a drop and provides the feedback to the micro-controller device which in turn modifies the breathing cycles to aid the patient into breathing.
The proprietary code that has been developed for the device allows efficient control of the system as well as selection of modes which puts the ventilator into an autonomous setting for achieving the intended goals. The SIMV mode can control the bag mask compressor to achieve required Tidal volume, Inspiration:Expiration ratio as well as the Breaths per minute. The modes can either be selected using the controls present on the device as well as the mobile app. The mobile app allows remote control of the device as well as access to patient information in a highly organised format.
The device is equipped with a WiFi module which enables this functionality. The data is uploaded to a SQL database online which is hosted on a cloud server. The data is shifted to an AWS cloud repository every 10 minutes to allow seamless performance benefits for the application connected to the SQL database. The AWS cloud repository hosts the data for analytical purposes and further learning such as profiling of patterns based on patient information.
On the tech side we improved on our codes and integrated a cloud component with the device, on the design side we conducted various interviews of experts in practice, and incorporated the feedback that we received into the product-service. On research end we used this opportunity to read on various fields by talking to medical professionals. One comment we got from most interviews that we conducted was to have these materials ready since there is a lot of interest in such product- service offerings especially with the cloud-service, application for monitoring and control and the cost which is not matched by any other existing product. And hence, finally on the dissemination end we started preparing materials such as videos, app, write-ups that we can start using to reach out to the necessary network post the hackathon.
The data is recorded using the sensors and control potentiometers on the device. The microcontroller unit further records the movements of the servo motor to record the number of breaths supplied per minute( BPM), Inspiration to Expiration Ratio ( I:E ratio) and the Tidal Volume achieved to verify if the required controls are having the intended effect.
Challenges we ran into
Since the device belongs to the Medical Field, it required us to be in constant contact with medical teams and practitioners among our network. Medical devices require superior quality as it affects the lives of people being treated. Keeping this in mind, any changes on the device had to be reviewed before being uploaded on the server for testing.
The remote location of the team proved challenging and required significant effort for collaboration. The team spread across 5 time zones which allowed limited scope for meeting times.
The prototype had to be developed locally which required the availability of parts, electronics as well as the code to be tested and developed online.Due to the ongoing Pandemic, gathering the parts and electronics was not easy which played a significant role to up the ante for us.
Accomplishments that we're proud of
Despite being in 5 time-zones across the world, in just 48 hours, we managed to build a completely sleek first stage prototype, test it, get it validated by medical professionals and also make an IOT based app to control it for seamless user experience. Our complete prototype cost was under $100 to make it completely low-cost and scalable for developing countries.
We managed to hack our skills and make a complete scalable product with a lean design and parts available at home. The device can easily be mass-manufactured and distributed to doctors, recovered patients as well as healthcare caregivers so that re-integration in the post COVID-19 world is safe, friendly and with complete ease and low-cost.
What we learned
During the last 48-72 hours,we’ve taken the project from Ideation phase to development and reached here with an almost complete prototype. The times have proved to be extremely exciting as we learned multiple things about the medical field, collaboration as well as constantly kept in mind the millions affected by the deadly COVID-19 disease which motivated us to complete what we began and give back to the community. Some highlights of what we’ve learnt during this Hackathon has been listed below:
Medical devices require extreme precision and you can’t put what works the best on a patient unless it's validated by someone who’s an expert in the field.
IoT, Cloud and Mobile technologies become extremely important when a pandemic such as COVID-19 occurs and requires us to socially distance. Using these has allowed us to efficiently focus on the problem statement and design a solution for a world after COVID-19.
What's next for ReSPIRE
We hope to use the EARTH-X Hackathon and iCreate Challenge to validate our idea, gain some valuable feedback and actually impact the world with our device.
We have a letter of intent from a Gujarat based hospital for devices like these.
With the right resources, we can easily start manufacturing by exploiting 3D printing within the next 4 weeks, and will be able to achieve 10,000 devices/month. We can give to hospitals, patients to do proper testing.
We can achieve a ‘ready to use product’ within 4 weeks and aim to supply more than 100,000 devices in 2020. Our solution can assist the exhausted medical teams, provide exceptional control and monitoring during high patient volumes, keep the medical staff and the patients safe from catching new infections by enabling social distancing with technology.
Built With
adobe
amazon-web-services
android
arduino
c++
python
sql
wireframe
Try it out
github.com | ReSPIRE | Low cost IoT powered Portable Ventilator Device | ['Priyanka Shah', 'Saumil Gogri', 'Vichar Shroff', 'Poojan Parekh', 'PAVAN THAKKAR'] | ['1st Place', 'Top 10'] | ['adobe', 'amazon-web-services', 'android', 'arduino', 'c++', 'python', 'sql', 'wireframe'] | 0 |
9,890 | https://devpost.com/software/peeker-subr6c | Peeker
Module with Rechargeable Battery Case
Front and Back View
Our Seekr Team has grown!
The problem our project solves:
My grandfather is visually impaired and depends on others to do everyday tasks. Given that he is reliant on touch, we are worried that he will be susceptible to COVID-19. This has led him to struggle with self-isolation because of having no companionship, also making him more prone to emotional distress during this period of self-isolation.
This is the reality of 200 million people who are visually impaired around 188 countries. And research shows that the number is expected to triple within the next 4 decades. As social and emotional well-being is of the utmost importance for these marginalized people, the Peeker aims to provide life-long companionship and alleviate emotional distress.
The solution we bring to the table:
The Seekr is a personalized, interactive voice-assistive device with a bone-conducting earpiece. To use the Seekr, the user does not require any technical knowledge and can interact freely and independently. The user interface is designed in such a way to imitate the human interaction of able-bodied people. The bone-conducting earpiece does not block their natural senses and the rotating clip allows for convenient placement of the device
There are two main features of the Peeker 1) Inbuilt thermal imaging sensors which alerts the visual impaired of other people with high body temperatures around them 2) Text and Object detection through which the Peeker will alleviate loneliness and allow the experience of live companionship during this period of self-quarantine.
What we have done during the Hackathon:
We have developed a working prototype of the Peeker with standard features such as object and text detection within the course of the hackathon. The working prototype also receives speech input from the user and responds using voice output, making it a complete interactive device. In addition, we have developed the 3D design of our proposed final product, keeping minimalistic design, user experience, and fashion in mind.
To ensure that our features meet the needs of the visually impaired, we met some visually impaired workers in the front-line such as those working at restaurants, convenience stores, and NGOs to test our prototype and discuss which features would be most useful to them even after the COVID-19 pandemic.
We have also conducted thorough market research to analyze our competitors and have realized that there is no product like the Seekr especially with its adaptable and customized features. According to research, there are many other devices within the assistive device market, however, 39.9% of differently-abled people do not like to wear such devices as it usually is very bulky and medical equipment like or is blocking some of their senses. Hence, our device offers quality services without blocking any of their natural senses.
The solution’s impact on the crisis:
Our solution is simple. The Peeker protects the visually impaired from people with high body temperatures who might be susceptible to COVID-19. This is to encourage social distancing and reduce the chances of getting COVID-19.
Furthermore, the Seekr’s objective is to reduce reliance on touch so that the visually impaired are not in contact with the surfaces unnecessarily through its features. Finally, the interactive component of the device engaged the visually impaired to alleviate emotional distress by offering companionship and living independently. For instance, the Peeker allows the visually impaired to conduct activities such as reading a book, distinguishing between different objects, reading road signs, etc. which they otherwise could not do without a helping hand.
The necessities to continue the project:
Currently, our prototype is deployed on the Raspberry Pi. Going forward, we would like to design the integrated circuit of the final product ourselves, so the device is more compact and durable. In addition, our product will also have a silicone cover which is easily identified by the visually impaired.
Our current solution is trained on the COCO-object detection dataset, restricting the number of total objects detected to 80. Going forward, we want to train the model with our dataset focusing on the common items that the visually-impaired person uses on a daily basis.
Subsequently, we will partner up with manufacturing companies to mass-produce the Seekr. We are also looking to collaborate with NGOs, Governmental Organisations, Optometrists, and Eye Hospitals to develop more user-friendly features so that every Seekr is customized to the needs of the individual.
The value of our solution after the crisis:
The Seekr allows independence with ease to the visually impaired through Peeker. For example, they would be able to go grocery shopping with the help of text detection. They would be able to navigate where things are with the help of object detection. Other added features within the premium package such as different languages, haptic feedback accessories, heart rate, and blood pressure monitor, face recognition, and color detection ensures that the Peeker is a life-long companion that accommodates the visually impaired no matter which demographic they are from.
Built With
coco
opencv
pytesseract
python
pyttsx3
raspberry-pi
speech-recognition
yolo | Seekr | Your Visual Companion | ['Turzo Bose', 'Lamia Sreya Rahman', 'Kartikay Sharma'] | ['2nd Place', 'Top 10', '1st Place Hack'] | ['coco', 'opencv', 'pytesseract', 'python', 'pyttsx3', 'raspberry-pi', 'speech-recognition', 'yolo'] | 1 |
9,890 | https://devpost.com/software/hackquarantine-g76twk | User Flow Diagram
Rough Sketches
Wireframes
GIF
Register
GIF
Search
GIF
View Result
GIF
Comment
Video Demo
View our web application demo
here
!
Slide Deck
See
Stock'd Slide Deck
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Inspiration
When one of the team members needed to purchase toilet paper, she went to three different stores to no avail. At one Costco store, signs were posted near the entrance of popular items that were in stock or sold out. Not only is this situation frustrating, but it also puts people at risk of contracting the virus, through unnecessary store visits and increased person-to-person contact.
What if there was a way to know this information before making the trip to the store?
With shortages of essential items such as rice, toilet paper, and sanitizers during the COVID-19 pandemic, we wanted to develop a crowdsourced platform for people to view the stock supply at local stores, so they are able to make better informed decisions when leaving their house to buy supplies.
About Stock’d
Stock’d is a website that allows users to search for products such as food items, supplies, and tools, to see whether those items are available at their local department or grocery stores
. Users can indicate whether an item is still in stock or not.
When users search for an item, listings of where those items are located are generated. When users select a store listing, they are able to see the store’s details, the items that the store has and whether those items are in stock, low stock, or sold out. Users are able to bookmark stores and leave comments on their page. When users leave comments, they are also able to add a status update on the item’s inventory.
User Research
To get a better understanding of people’s grocery shopping habits during this time, we distributed an online survey to friends, family, and people on various public platforms as well as conducted interviews. Through our efforts, we notably collected 126 survey responses and interviewed 6 people!
Overall,
90.3%
of respondents were under a shelter-in-place order and/or lockdown and a majority (57) were from California. We also got responses from people of all ages ranging from 18 to 65+. This aspect was very important to us considering the nature of COVID-19 and its impact on everybody in our community.
We made sure to ask questions that were probing and unbiased, allowing our potential users to ultimately tell us a story, informing us of their goals, motivations, frustrations, and needs.
Examples of these questions include having interviewees describe their most recent shopping experience and choosing their top 3 priorities/criteria for different shopping scenarios.
Through asking these questions, we gained great insight that ultimately influenced our design.
For instance, we noticed that people tended to shop early in the mornings to avoid store crowds, and so
we included each store's hours of operation.
83.9%
of respondents cared about the distance of the store from their homes leading us to
implement a geolocator.
62.7%
of respondents indicated that store cleanliness and reputation were very important to them, so we made sure to display a 5-star rating system. We included a
tag for items that were selling fast
because
28.1%
of respondents indicated that the popularity of the item influences their decision to shop.
We also found that people's top priorities when selecting items at the store (brand, quality, and price) became less of a priority. Instead, people were more concerned about availability. Because of this,
we decided to have our platform focus on item inventory statuses rather than brand, quality, or price.
Lastly, some of our interviewees stated that they rely on friends to update them about the status of items when they shop as a solution to not knowing. Therefore, we implemented a feature where fellow
shoppers can post comments and pictures regarding item status.
How We Built It
The application is built using C# and .NET Core frameworks, HTML, CSS, Javascript, and jQuery. The
prototype
was created with Figma and the logo was designed using Adobe Illustrator.
The team began by brainstorming various features that the application should have while using user research to validate/expand on our ideation process.
In order to actually build the product, we worked individually as well as collaborated regularly via Slack for messaging, used Discord and Zoom for audio and video conferencing, Github for organizing and compiling all the code, and stored our files on Google Drive.
Challenges
We acknowledge that time-sensitive, crowd-sourced data may be inaccurate. A shopper may find an item is sold out at a particular store, even though the site indicated that it was in stock a few hours ago. Stock’d can’t promise to deliver definitive real-time information, but it does give people a little more information before heading outside the home for a supply run.
Figuring out the most optimal interface for our idea and getting our site to look exactly how the prototype was designed. There are a few discrepancies between the prototype and our site due to some limitations we encountered.
With C# .Net Core, we applied MVC design patterns into our application. By doing so, at times there were issues trying to find out how to get certain information to its corresponding place. For example, certain information in the views needed to be sent to a controller through an ajax request, whereas other information was sent through the use of forms. In addition, connecting to an SQL server served us some difficulty, as the database could not be used by other people running the application.
Accomplishments
Being able to integrate UX Research into the project and collecting a large number of survey responses. It’s nice to know that our project incorporates some aspects of the “Design Thinking” process, which models how apps/websites are ideally created in the real world.
In terms of application integration, we were able to get the majority of our main features implemented. Through the Google Maps API, the user is able to connect to the app using their current location. Upon clicking search and being redirected to the results page, the user is able to see all location grocery stores in their area within a 500m radius. The user is then able to click on a store and see the store information, status of items reported, and all comments reported under that store.
Finally, only two of the teams members knew each other prior to the project. Working remotely with initial strangers may have posed challenges. However, this collaboration gave us the opportunity to work with motivated people from different backgrounds, pushing us to explore out of our comfort zones, understanding each role’s responsibility, and achieving goals as a team.
What We Learned
Through research we were able to see how people’s shopping habits changed because of COVID-19. It is interesting to learn how situations like this influence our decision-making process. We also learned the importance of collaboration between developers and designers. While working on the project, we tried our best to maintain constant communication on both sides so that we were on the same page. Developers learned how to implement a project using designed prototypes, as well as learned and improved programming skills with the languages used.
Next Steps for Stock'd
One of the next steps for Stock'd includes finding ways to verify whether items are actually in stock. One way to address the limitations of the application described above is to incorporate non-crowd-sourced data. For example, perhaps exploring store APIs or Instacart API. In addition to this finding ways to verify that items are in stock, we hope to implement user enabled notifications to notify when items are back in stock.
Some other features our team have planned for future implementation including:
Sign In/Account Creation feature
Connection to a non-local SQL/Cloud database
Ability to search nearby stores by city or address
Adding distance from user location
Built With
.net
adobe-illustrator
bootstrap
c#
css
figma
html
javascript
Try it out
www.figma.com
github.com | Stock'd | Tired of going to multiple stores only to find that toilet paper is out of stock? Use stock'd to see inventory statuses of essential items and see what other people say before you head out! | ['Nevada Graci', 'Stacey Odo', 'Ben Zeero', 'Abena Boateng'] | ['3rd Place', 'Top 10'] | ['.net', 'adobe-illustrator', 'bootstrap', 'c#', 'css', 'figma', 'html', 'javascript'] | 2 |
9,890 | https://devpost.com/software/narad | A 3D render of a Narad Unit.
The Daran Labs website.
The COVID-19 Cluster tracker.
How many users the Cluster is getting, according to Google Analytics.
We are a team of 4 dedicated high school students who each have something unique to offer but have the same passion for changing the narrative in society. Our team consists of Somesh Kar (16), Angad Singh (16) Ashvin Verma (16) and Priyanshi Ahuja (17).
Team Narad came together after a member of our team saw something that they couldn’t forget. He was on a family trip and crossed multiple villages along the way, but as he was approaching the end of the trip, his car broke down near a poor farmer’s house. The farmer gave them some water. Our team member tried thanking him in Hindi but the farmer couldn’t comprehend. Just then, another man, who could understand both hindi and the local language told us about how their language isn’t that well known and that they don’t hear it anywhere. Intrigued, our team member talked to the man about how they get their information, and to his surprise, our team member learnt that the village was on the other side of a very wide information and resource gap that existed due to the very seemingly mundane reason of speaking a language that was not sufficiently recognised in our massive country.
We learned that life isn't as simple and superficial as it seems in the urban context. We learned that there are people out there who don't have access to resources, information and language. But at the same time we learnt that anyone, even high school students like us, can take a step towards making their life a bit more easier. Considering many services that have come up which support the urban population especially during the corona virus pandemic, we need one that supports the rural as well as the urban areas, and one which can be used after we pass this time as well.
We've always been fascinated by microcomputers like the Raspberry Pi, and we were amazed to discover we could underclock the CPU clock speeds of one core to effectively be able to transmit at FM frequencies. With the first version of what we built, we decided to take it a step further and add a simple piece of solid gauge wire, which acted as the antenna. With this setup, we could transmit at distances over 500m with no distinguishable loss in quality.
However, we soon realised a single Raspberry Pi couldn't cover the area of an entire Indian village. As such, we decided to use a mesh (a type of network topology, akin to star networks) system consisting of multiple raspberry pis, with only one requiring an internet connection. We settled on a WiFi based mesh network, since Raspberry Pi Zero Ws are inexpensive and come with WiFi antennas built in. We also tried using Zigbee and LoRa (Long Range radio) for this, but soon realised the extra cost didn't carry sufficient benefits for us, since each unit being relatively cheap is a major selling point for Narad.
Initally we had the plan to have a few Narad Units built with extra features such as live broadcasting in the local area, for village Sarpanchs (the head of Indian villages) to be able to transmit mission critical information whenever required. However, this plan didn't work out as the units would've need a screen(preferably touch based) and a microphone, which significantly add to the cost. This led us to build the Narad app, which gives people in local governments and intuitive way to live broadcast locally relevant information.
The Narad app is built using react native, and communicates with the Raspberry Pis in the mesh network by joining the WiFi network they create.
Built With
golang
nextjs
node.js
react
react-native
Try it out
daranlabs.now.sh
github.com
cluster.covid19india.org
github.com | Narad | Narad solves the linguist,socio-economic information barriers.We designed a localised broadcasting device, an optional app,a covid cluster-graph tracker (already has a 9.8m user base-google analytics) | ['Somesh Kar', 'Ashvin Verma', 'Priyanshi Ahuja', 'Angad Singh'] | ['Top 10'] | ['golang', 'nextjs', 'node.js', 'react', 'react-native'] | 3 |
9,890 | https://devpost.com/software/rmlc-visor | RMLC Visor
The Rapid Manufacture Low Cost (RMLC) Visor is designed to fill the immediate need of personal protective equipment in the current Covid-19 crisis. Several features aide its
ease of production and logistics:
Just one die cut or laser cut part
Minimal manual labour is needed
Flat pack and no use of foam lowers the shipping volume
A wide range of head band material choices based on availability
High rigidity allows the use of material saving 0.25 mm (10 Mil) plastic sheets
Several features improve
comfort and usability:
Lightweight design at around 26 g (1 oz)
Easy and quick assembly in less than 60 seconds
Very little plastic comes into contact with the skin
A large and also high shielded area
An open airpath at the top helps against fogging
Easily adjustable distance to the face allows for larger respirators
Inspiration
Even as the Covid-19 crisis seems to relax a little in the EU the supply shortages of personal protective equipment become more dire as the virus still spreads around the globe. Industrialised countries outbid each other for PPE and raise the world market prices. Developing countries, which barely can support their healthcare systems in normal times, can’t compete.
What it does
The RMLC Visor seeks a good compromise between lowest possible cost, easiest manufacture and compact shipping volume while retaining a great level of wearer comfort.
Accomplishments that I'm proud of
The RMLC Visor is dirt cheap to make.
What I learned
How to cold call companies. I’ve called everywhere from Airbus to Zara to ask if they have free die cutting capacities they would like to donate. Also, when you have a not for profit idea, directly call the press office.
What's next for the RMLC Visor
Field testing is currently on the way in Ireland, India and the USA. Trough the hackathon I made many new contacts which can help with testing, development or possibly production. I am also working on a silicon and polyester version, which can be disinfected in an autoclave.
Built With
adobe-illustrator
solidworks
Try it out
www.rmlc-visor.eu | RMLC Visor | A medical visor design which seeks a good compromise between lowest cost, easiest manufacture, wearer comfort and compact shipping volume. | ['Henning Marxen'] | ['Challenge Winner', 'Top 10'] | ['adobe-illustrator', 'solidworks'] | 4 |
9,890 | https://devpost.com/software/modulus-vwn2cl | Inspiration
In light of the recent COVID-19 crisis, we’ve seen staggering demand for online courses as students grapple with a reality in which education is now delivered over the internet. But traditional e-learning platforms like Khanacademy struggle to keep up with the pace of demand, while LMS platforms like Canvas, which requires teachers to sign up as part of large, wealthy organizations such as school districts, are difficult to use and lockout small independent teachers that just want to continue teaching. And on top of all that, all platforms rely solely on one medium of teaching, such as Udemy through videos, and Edmodo through text, without regard for user learning preferences.
What is Modulus?
Modulus is an online education platform, similar in concept to Canvas or Blackboard, both of which are used by schools and universities around the nation. But unlike existing platforms, Modulus directly integrates the VARK learning styles - a psychological framework for teaching - into an incredibly simple to use, modular course structure that anyone can use to teach anything. The result is a fairer, more accessible, and more equitable online education for everyone.
Modulus Features
Modulus includes VARK profiles, which are charts that display the proportions of different learning styles for a course or a user. Across the entire user interface, the colors and learning styles used in the profiles are consistent, which means you can tailor your education to your learning preferences.
Fast, responsive, and intuitive, with no bloatware, unlike other LMS solutions that disadvantage those with poor hardware, slow internet connections, and little tech-savviness.
Peer-to-peer: our platform lets anyone create, upload, and share courses, with the idea that we can recreate the Montessori model of learning in a digital environment.
How is Modulus used?
Modulus is used to create a digital classroom online, where teachers can post courses, assignments, lectures, and tests to share with students anyplace, anytime. Our goal is to recreate the best parts of modern educational methods, from VARK learning models to Montessori peer-to-peer instruction, in an online environment, so that as a society progress can continue to be made in the field of education, even from home during quarantine.
How I built it
We used React to develop the front end for the web application, while integrating with the Google Firebase service for backend database operations. For the landing page, we used Bootstrap, and React for the web app educational platform itself.
Challenges I ran into
This was the first time that our team used Firebase Google Cloud services for user authentication and data storage, so it was difficult to integrate that into our web app, which is written in React, a web framework we had learned for our first hackathon only two weeks ago. We encountered lots of issues thus with merging these new technologies together and deploying them successfully on Heroku.
Accomplishments that we’re proud of
Despite having just learned Firebase, and only having two weeks of experience with React and Bootstrap, we managed to do the following:
A fully functional web platform, with an intuitive and extremely fast design.
Full integration with a cloud-hosted database backend that tracks course enrollment for our individual users
Automated emailing for password recovery
Integrated course creation into the platform
Anti-bot services like Recaptcha
What's next for Modulus
Our team hosts a tutoring service for middle school and high school students who either want to catch up or get ahead during this difficult time, so we plan on using this platform ourselves to promote education for all.
Who we are
High School Juniors from Seven Lakes High School, in Houston, Texas
Daniel Wei - danielwei15#3016
Ryan Ma - GoblinRum#8553
Haoli Yin - Nano#4890
Built With
bootstrap
cmd
css3
express.js
firebase
heroku
html5
javascript
node.js
npm
react
recaptcha
research
Try it out
modulusplatform.site
github.com | Modulus | An online education platform that directly integrates VARK learning styles for efficient online learning. | ['Haoli Yin', 'Daniel Wei', 'Ryan Ma'] | ["People's Choice", 'Top 10'] | ['bootstrap', 'cmd', 'css3', 'express.js', 'firebase', 'heroku', 'html5', 'javascript', 'node.js', 'npm', 'react', 'recaptcha', 'research'] | 5 |
9,890 | https://devpost.com/software/open-pandemic-first-erp-for-pandemic-management | Our solution is pretty complex to be fully explained in 2 minutes and if you want you can watch a 40-minute demo of the platform and the app in the description of our Youtube video.
‘Open Pandemic’ is free to use for every country affected by COVID-19.
The first ERP system for handling the pandemic situation is designed to help with the management and mitigation of the current COVID-19 outbreak. Currently there is no process or platform to address this problem, from the government, through the health system, to citizens, and at the same time incorporating the economic and pandemic impact.
The application would also be extremely useful for monitoring the development of the infection during and after the mitigation of this pandemic, for the prevention of its reoccurrence, and last but not least for the management of future epidemics.
A big plus is that the system can be fully or partially integrated with different platforms, solutions and tracking applications already used by local authorities.
The solution is open-source and free under license and consists of a central platform for monitoring, analytics and management, and a mobile application, for location and information sharing.
The system helps, both, governments or relevant bodies, tasked with managing a viral spread, and the general population by providing app users with analytics-based notifications and a waze-like peer-to-peer reporting functionality for groupings and gatherings around supermarkets, pharmacies and public places.
Such a system can aid governments in their efforts to direct their limited resources where they are most effective towards limiting, both, the live losts and the economic consequences of the outbreak. It aims to provide tools for the numerous phases of the outbreak. Assistance and real-time information is paramount for the isolation and lock-down phase, its effectiveness and enforcement monitoring.
It is, however, equally important to manage the process of loosening the restrictions and provide data-based decisions on the reduction of the lock-down. A modular and analytics-based loosening of measures for areas where it is probabilistically safer to do so will be of high importance to the safety of people and the faster economic recovery of nations. Moreover, people with a lower risk of being infected and carrying the disease can be identified and can have permissions lifted for them, thus limiting their impact on the outbreak and the economy.
It includes a central platform with 14 different modules, including a powerful predictive analytics module to help institutions with resource management and a 100% anonymous mobile application for location and information exchange. The idea of the whole system goes far beyond geo-tracking models, like the ones that Apple and Google launched recently. One of the most important factors is that the whole system is fully compliant with last Friday's European regulations.
The central platform helps health authorities to manage the pandemic on all levels enabling them to see the big picture of the spread, as well as the smallest local infections. It includes real-time heat maps, resource management for health authorities and powerful predictive algorithms for hospitals, laboratories and government bodies.
The predictive analytics modelling enables capacity planning, ICU admissions, patients requiring respirators, test scheduling, number of beds, available hospital staff, etc. These estimates are generated using the most complex and fully working SIR model that we developed with PhDs in Statistics and Topology at Oxford University. Also, all modules of the system are tested to run with 16 million data points so that we make sure it is fully functional and debugged.
The mobile application has the potential for a massive adoption by the general public due to its 100% anonymity and GDPR compliance. It also has many benefits for the user such as analytics-based notifications, test scheduling, peer-to-peer reporting for supermarkets, pharmacies or other public places queues or gatherings, travel permits, park walks scheduling and other modules that make your life easier.
The system
We have adopted best-practices from countries that have successfully utilized technology already to manage the crisis — Japan, South Korea, and China. Their experience proves, and that can’t be stressed enough- that the restrictive measures alone, without an intelligent technology solution for crisis management, are not efficient enough. We are applying our expertise in ERP healthcare systems in a solution which we provide for free to help countries fight COVID-19.
Users will have the possibility to track and self-report their current health and receive personalized advice and notifications based on their data. The gathering and storage of these data will be completely anonymous and will be used for the algorithm, determining the zone with higher probability of infection.
Users can get quick access to information, regulations, and advice, distributed through the central platform and, upon need, can get directions to a hospital or other institutions for receiving help.
Initially the idea was to build just a geolocation service to track people’s trajectories, similar to other such existing systems, but we quickly realized that this information only gives a limited view over the relevant data and is not sufficient to inform truly efficient decision making.
The solution consists of a mobile app for use by citizens and a central platform for use by the authorized country/health service personnel. It is possible for a country only to take the central platform and use their own apps and data sources. The key pillars of the solution are Monitoring, Analysis, Communication and Capacity Management.
Mobile app
The mobile app has a focus on providing real-time information, notifications and warnings, having a personal health profile, access to quick reliable data, and receiving medical advice.
Based on their location, users of the application will receive notifications of probable contacts with positively tested people or upon entering or exiting a geographical zone with increased probability of contracting COVID-19. Zones and probabilities are determined by the algorithms in the central platform, using multiple data sources in conjunction with the data provided by users of the mobile application.
A self-submitting functionality allows users to further mark crowding or big lines of more people at supermarkets, pharmacies or public places, on a map, for other users and themselves to see. The mechanism for user-submission is backed by the option to confirm or reject submissions by other users, mitigating the risk of false reporting and incorrect data. The number of confirmations is marked on the map, next to the icon, indicating the crowding. This functionality will mitigate the initial need for a large user base and data and allows users to quickly start receiving actionable and relevant insights, thus increasing the utility to users and their overall engagement and adoption of the application. It is planned for this feature to also allow users to self-submit and mark stores and retail locations where regulations or standards violations occur, which further protects users and pinpoints the government efforts.
People will decide whether to use the app anonymously or to share their identity.
Central Platform
The central platform is used for real-time monitoring and analysis. It is driven by a graphical (map) interface. Users can be tracked. Quarantine zones can be set. Messages can be sent to users. Possible to drill-down to specific cases and take action (e.g. set quarantine, schedule test, ..).
Security & Privacy
Only authorized health and government institutions of the country implementing the system will have access to people’s health information, and this will be restricted to specific users.
Users can decide to register anonymously if they wish, and can also decide to only using manual tracking.
Quarantine zones management
When a given zone- be it an ATM machine, a supermarket, a hospital, or simply a geographical area - is marked as infected and is put under quarantine, people who have been in contact with this zone will be notified and can be quarantined and/or tested with priority.
Digital certificates for movement
We are working on a module that will support authorized persons movement during any lock-down scenario. Forms/certificates from employers may be uploaded, validated and subsequently checked by authorized persons (e.g. police) or at check-points.
Management of crucial resources
In order to achieve a full understanding of the situation, real-time information about critical resources in a health crisis management is included, namely: hospitals and laboratories and test centers.
Hospitals- location, number of beds- ICU and regular, availabilities; personnel available; ventilators and other equipment- total number of units and availabilities by location; institution quarantine status;
Laboratories and test centers— information about test types and availabilities, processing times;
Testing prioritizing, scheduling and results
The system supports optimal prioritizing of tests for people in a higher risk due to either symptoms or contact. Tests can be scheduled by time and location with results delivered electronically together with any recommended actions.
Additional modules
There are already additional modules being worked on to enhance even further the information and capabilities. These include:
ATM Monitoring
ATM machines can also be monitored. Based on transaction data, the platform has data of users that have interacted with a specific ATM machine. The system will not have any information regarding the performed transactions and will not violate bank secrecy and will be based on an identification system, not providing or accessing personal information. Such a feature can be introduced with the explicit request and management by a government.
Depending on availability information about people who have interacted with given ATM machine will be based on bank information. This will not violate bank secrecy as the system will not have any knowledge about the types of operations, it will simply know the identity of the person who has used the ATM if allowed by the government.
Transportation module
The geolocational method is not optimal for the case of public transport as access to GPS data is inconsistent. That’s why the system will work with QR codes. Each vehicle- from taxis to trains- will have a QR code which the users can scan to state their contact with this particular vehicle. People will be notified in case a vehicle they have been in contact with is consequently marked as infected. That’s one of the things South Korea did to fight the spreading of the virus.
Predictive analytics module
We are planning for a predictive analytics module based on mathematical models. The specific advantage here is the customization of parameters regarding the areas- number of residents, population density, number of most probable contact points and mobility rating. These parameters will vary for a small village and a big city in order to obtain more accurate results as opposed to looking at entire countries.
GDPR and EU law compliance
One of the main aspects is the use of this temporary identification code, so that the phone number, device number or your name are not associated with your device. All the modules of the platform are fully compliant with the latest EU regulations published on 16 April.
In Summary
We are learning from the proven successful strategies of the countries that have dealt with the crisis with notably low fatalities rates. We are working towards improving these strategies.
A crisis of such scale can only be ended with the joint efforts of all people- from the medical professionals fighting at the frontline to the executive officials in the crisis management teams’ headquarters, who need analytic insight to make the right decisions. Each person can contribute to a successful outcome by being responsible.
We are working really hard to complete the solution development as soon as possible. Version 1 is available from the 2nd week of April. Each country that chooses to implement the system will have access to the source code free, under license. They will have the right to work with it in whatever way they find necessary and useful- change the code or add to it, during the COVID-19 pandemic. We are partnering with m-cloudware to support international availability and implementation.
We believe that we must not panic in the face of this undoubtedly major crisis. We must act in a timely, intelligent and disciplined manner in order to — and it really boils down to — save as many lives as possible.
/////
Some of the benefits for the user:
100% anonymous
Get notified when you’ve crossed paths with a positively tested individual or when you’ve entered a high-risk zone
Easy scheduling of tests, travel permits, park walks, etc.
Get real-time data on supermarket queues and group gatherings
Compliant with the latest EU regulations & GDPR requirements (April 16)
Some of the government and health authorities benefits:
A central platform to monitor & analyse the development of the outbreak
Capacity planning - ICU admissions, number of beds, available hospital staff, patients requiring respirators, available protection equipment, etc.
Test scheduling & prioritisation
Quarantine zone management
Group messaging
Testing prioritisation
Next outbreak predictions
Economic predictions
Security and Privacy
Contact:
nedina.maria@gmail.com
Built With
elasticsearch
matlab
python
r
typescript | Open Pandemic-The First ERP (system) for Pandemic Management | ERP system for handling a pandemic situation. The solution consists of a central platform for predictive analytics and resource management, and a mobile application. | ['Maria Nedina', 'Georgi Ivanov', 'Kamen Bankovski', 'rossengenchev'] | ['Top 10'] | ['elasticsearch', 'matlab', 'python', 'r', 'typescript'] | 6 |
9,890 | https://devpost.com/software/omnilearning | Bridging the digital education gap between students, educators, and parents.
A glimpse of Firestore data structure
Initial Wireframe, Color, and Logo Sketch
Inspiration
There are thousands of online educational platforms. However, there isn't an easy way for parents, educators, and students to stay organized and engaged across the many different platforms. During no-school days such as the COVID19 lockdown, summers, or weekends, many students feel highly unmotivated without a rigid, organized schedule and a mentor to support them. OmniLearning, an iOS app, was inspired by these real-life issues.
What it does
OmniLearning matches students with mentors and provides unique features for each respective user:
1)
Students
: receives updated personalized schedule curated by their mentors, stay organized with a schedule, increase productivity and motivation with a displayed reward, ask questions, update mentor with progress
2)
Mentors
(e.g. teachers, tutors, parents, older siblings): create and assign a personalized learning schedule across different platforms, send incentives and rewards as motivation, help students, receive real-time updates on students' progress
How I built it
I digitally drew all logos, wireframes, and backgrounds with Procreate.
I coded the app with Swift on Xcode.
I utilized Google firebase as the database for CRUD.
Challenges I ran into
This is my first time creating an app for multiple users. Thus, it was quite difficult in the beginning to create a clean structure to direct users to their respective pages. In addition, there is a lot of data to pass between students and mentors so the database structure is more complex.
Accomplishments that I'm proud of
I'm proud of creating OmniLearning on a solo team!
What I learned
Complex data structures, CRUD, cocoapods, Firestore, app with multiple types of users
What's next for OmniLearning
I hope to improve the messaging user interface and publish to the app store ASAP for students and mentors to use!
Built With
cocoapods
firebase
procreate
swift
xcode
Try it out
github.com | OmniLearning | Bridging the digital education gap. | ['Tran Le'] | ['Honorable Mention', 'Top 10'] | ['cocoapods', 'firebase', 'procreate', 'swift', 'xcode'] | 7 |
9,890 | https://devpost.com/software/norona | Inspiration
After I lost my phone a few weeks ago, I realized I could track it down in real time using my google maps location history. Our team discovered that, by default, "Google Timeline" logs all of our location data unless the smartphone user opts out. We also discovered that this is all downloadable via "Google Takeout". If this data could be aggregated and secured in a user friendly way, the public health implications are astronomical.
Problem
While we may think that we are safe in the confines of our homes, we can't self quarantine forever. The national attitude towards social distancing is shifting, and some states are already opening back up. To prevent outbreaks in the future,
there is a dire need for contact tracing programs that identify potential carriers of COVID-19 based on their interactions with positively diagnosed patients.
However, health departments are severely understaffed. It is projected that America needs 300,000 additional staff to conduct contact tracing interviews, but only 1000 have been hired so far.
Value proposition
ContainCovid is a web application that helps contact tracers identify and isolate individuals at-risk of carrying COVID-19. These individuals may choose to anonymously share their location history data, which can help prevent community-wide transmission. These individuals may also share the contact information of people they have recently interacted with. As such, ContainCovid streamlines communications between contact tracers and their clients, effectively reducing the transmission of COVID-19.
Although many “risk exposure notification” mobile applications exist, they either continuously collect sensitive GPS data (ie SafePaths) or log interactions via bluetooth (ie apps using the Google/Apple API), the latter of which being quite useless for public health authorities to communicate with and serve their communities. These mobile apps also require ~40% of the population to download a single solution to be effective. However, only ~17% of the Singapore population downloaded an app endorsed by the national government, and the US has dozens of such competing apps that don’t cross-talk.
Fortunately, ContainCovid does not need a large critical mass of users to be effective. Our solution does not log data in real time, but rather looks back in time at existing data stored on any Google Maps user’s smartphone. As such, we don’t require anyone to download an app preemptively. Furthermore, we don’t require a huge critical mass of users. Instead, we can simply partner with healthcare organizations to share the platform with COVID-19 patients. These patients’ location trails are readily available, and this data is useful even if accessed post-diagnosis. We can then encourage these patients to invite their contacts to the platform, perhaps anonymously with a public health official as an intermediary. This will ensure that the “primary” contacts of COVID-19 patients are informed of their risk of exposure.
Core competencies
Out team's competitive advantage lies in our incredible development speed, made possible by our development stack— Webflow + meteor.js (and MongoDB) + React.
We are also partnered with professionals who are leading contact tracing efforts in Massachusetts, as well as the UC Berkeley Department of Public Health to pilot our launch within the UCPD and the Berkeley campus Tang Health Center. Through these channels, we will pilot our technology and acquire location history data from confirmed COVID-19 patients. This can all be done without accessing sensitive patient health records; in this initial phase of our launch, we will only distribute this technology through healthcare providers' communication channels, circumventing the need to verify self-reported positive tests with EHRs.
How I built it
The web application was designed in Webflow and implemented with Meteor, React, and MongoDB. We chose this stack because it would enable the designer, front end developer, and back-end developer to work in parallel for most of the process. We are currently hosting our site on Galaxy and MongoDB Atlas; both can be scaled at the click of a button.
What we built this hackathon
We restructured our entire codebase to make it more modular, allowing this project to be truly open source and ready for anyone to use. To do this, we ran a security audit of the code as well as our hosting providers. This security audit included:
defining rate limits for requests
checking for exposed client side database method calls
enabling strict browser policies on what content type from which origins can be loaded in the app
whitelisting which IPs can talk to the database
enabling two-factor authentication
requiring difficult passwords when creating an account
checking for potential NoSQL injection points.
We also fixed numerous bugs and incomplete features, such as
the inability to log out
links for web pages were inconsistent with the user flow
disjointed front and back end elements, such as the "check risk" button and the risk assessment algorithm
lack of clarity in the user flow for undiagnosed individuals
Notably, our team also doubled in size from 6 to 12 members. We worked meticulously on the UX of our
contact tracing dashboard
in Webflow based on feedback from various mentors and newly recruited designers.
However, perhaps our most significant accomplishment this hackathon was our sprint to create a web application tailored for use in a UC Berkeley public health study
. Finally, we began our customer discovery process with a Facebook ad campaign to survey whether people would be comfortable sharing their location data through a web portal, which to our surprise was over 50% of randomly sampled respondees.
Timeline
As of June 10th, 2020, ContainCovid is working towards a soft-launch as a data collection platform for a UC Berkeley study. If all goes well, ContainCovid will be used to assess the feasibility of opening up campus. ContainCovid is also working to make a centralized contact tracing portal with the aforementioned chatbot functionality. Our self-imposed deadline for this contact tracing portal is June 15th. By early July, we hope to show proof-of-concept to public health organizations, either through the UC Berkeley study or a public soft-launch. We strongly believe that rapid contact tracing is crucial to adapting to a new normal, and by mid July, we expect to integrate our platform with existing state-imposed contact tracing platforms.
To reach this endpoint, we hope to form crucial partnerships beyond our UC Berkeley network. We are currently in touch with MIT Safepaths, and we hope to partner to inform public health officials with actionable data on population-level transmission. We are also partnering with CoVis, a data intelligence platform that provides deep insights into population-level immunity. In terms of organizational structure, we are fiscally sponsored by The Youth Project USA, a 501(c)(3) nonprofit. Finally, we hope to form meaningful relationships with contact tracing organizations like Partners in Health, provider networks like Kaiser Permanente, and CROs like Curebase to distribute our platform COVID-19 patients. These patients have the most powerful and actionable data, as well as the strongest incentive to anonymously share this data to protect their communities.
Built With
atlas
meteor.js
mongodb
react
safetrace
webflow
Try it out
www.containcovid.org
docs.google.com
www.containcovid.org
github.com | ContainCovid | A web application that enables users to securely upload their location history data via Google Takeout to assist public health officials with contact tracing and community-level risk assessments | ['Jacob Luo', 'Evan Anderson', 'Sushanth Varma'] | ['3rd Place Overall Winners', 'Track Runner Up: 3rd Place', 'Top 10'] | ['atlas', 'meteor.js', 'mongodb', 'react', 'safetrace', 'webflow'] | 8 |
9,890 | https://devpost.com/software/devit | Introduction
Amid the current COVID-19 situation that has engulfed the whole world; everyone is facing challenges and are socially impacted. This has encouraged us to develop a project management platform on which corporate companies manage their work with total privacy and ownership during remote work from home.
Problem Statement
With the World Health Organization (WHO) declaring Coronavirus (COVID-19) a global pandemic, the communities around the world are forced to practice social distancing, while companies have enforced work from home policies in an effort to flatten the curve of viral infections across the population.
Given the isolation currently being experienced within communities right now, we want to create an online platform or space where developers can ideate, experiment and build software during this crisis.
Our Idea
Due to the prevailing situation from COVID-19 companies and organisation are forced to work from home. Most of them need to use third party platform and softwares to manage their project/work online. Using such third party platform does not assure total ownership of the project since third party may also see their confidential or important project files, work or prototypes. Living in era of web 3, our idea is to make a controlled platform that will help developers from corporate background, who are forced to work from home, and even free lancers to develop, store, manage their ongoing projects amid this lockdown with true ownership, integrity, transparency and security. To achieve this goal, we have used blockchain-based
BlockStack
technology which eliminates the involvement of any third party and provides transparency. We have used
BlockStack Auth
and
Gaia Storage
to give true owner ship to users. Moreover, we have only used the BlockStack eco-system.
Team Quaran-Hack
Built With
blockchain
blockstack
css
html
javascript
node.js
Try it out
devit-7cd11.web.app
github.com | DevIT | An open source project secured by blockstack with commitment of privacy and ownership for your remote workspace. | ['Devarsh Panchal', 'Naivedh Shah', 'Harsh Mauny', 'dwij patel'] | ['Best Open Source Project on GitHub', 'Top 10'] | ['blockchain', 'blockstack', 'css', 'html', 'javascript', 'node.js'] | 9 |
9,890 | https://devpost.com/software/tic-tac-toe-o2aleh | Inspiration
So how high are these expectations? IDC predicts that the virtual and augmented reality market will dramatically expand from just over $9 billion last year to $215 billion by 2021. That incredible 118% compound annual growth rate would make VR one of the fastest-growing industries on the planet. Also in times like these, when we are forced to stay at home due to COVID-19 we made this to act as one of the modes of entertainment, stay engaged, and connected with people.
What it does
Tic-Tac-Toe is a multiplayer virtual reality game that allows users to play against the computer or their families or both! you can use it on iOS, Android.
How I built it
It is built on Unity3D, on top of Photon PUN and GoogleVR SDK. It is also integrated with Google Firebase.
Challenges I ran into
Integrating echoar and unity, the development of virtual reality games, and networking. As I had to run the game on my phone to record the gameplay the output video on youtube is a bit blurry.
Accomplishments that I'm proud of
This is a cloud-based game, which reduced the size of the application enormously. from Scratch. I developed a few of the UI elements and game assets. I feel the User-Interface of the app and the effects are pretty cool.
What I learned
VR development is real FUN!! and there are a lot of API and SDK that unity supports, development of cloud-based applications.
What's next for Tic-Tac-Toe
I want this game to be a cross-platform game and hence our next step would be to make the web version of it, plan on releasing it to production so that users can have an immersive experience of modern gaming techniques, also have fun during lockdowns.
Built With
c#
firebase
photon
unity | Tic-Tac-Toe | It's All About X's and O's | ['Vasa karthik'] | ['Best Use of echoAR'] | ['c#', 'firebase', 'photon', 'unity'] | 10 |
9,890 | https://devpost.com/software/cameron-the-companion-vitalverse-chatbot | Cameron, the Companion
Cameron is more than a hoodie sweatshirt...
Cameron is a chatbot that provides comforting interaction for those affected by the quarantine and social distancing to first strike up a conversation and secondly guide them to wellness awareness.
Cameron runs using the Transformer model on a Tensorflow 2.0/Keras back-end. Cameron's interface is a Flask App UI..
The ability to weight different both the emotional id and the topical id to potential flag the dialog to shift towards mental health assessments or other wellness checks.
The biggest challenge we ran into is the volume of data and the model training.
Figuring out the best way to process and input the data was time consuming and at some points, defeating.
Accomplishments that we most proud of...
As a small team with limited knowledge of developing in the chatbot and AI/ML environment, we learned a ton through the process and will continue to refine the data and model.
What we learned...
As telehealth evolves and adjusts to COVID-19 and the global pandemic, the need for chatbots that can actually engage, monitor and assess the effects of social distancing, sheltering in place and other factors, will only increase in importance and value.
What's next for Cameron the Companion...
Continue to develop Cameron and see what happens...
Built With
artificial-intelligence
flask
keras
machine-learning
python
tensorflow2
Try it out
github.com | Cameron, the Companion | Cameron is an eccentric take on a health/wellness chatbot bringing companionship while encouraging mental health awareness. | ['Vivian Richards (She-Her-Hers)', 'CQ F3', 'Shreya C', 'Code Mickey'] | [] | ['artificial-intelligence', 'flask', 'keras', 'machine-learning', 'python', 'tensorflow2'] | 11 |
9,890 | https://devpost.com/software/data-visualization-and-crowd-analysis-using-ml-techniques | Splash screen
User app Home page
User App- Home screen
Website Home page
Admin app - Authentication
Admin app - Set limit
In recent years, the human population is growing in extreme rate and hence the growth has indirectly increased the incidence of the crowd. There is a lot of interest in many scientific research in public service, security, safety and computer vision for the analysis of mobility and behavior of the crowd. Due to a crowded crisis, there are large crowds of confusion, consequence in pushing, mass-panic, stampede or crowd crushes and causing control loss. To prevent these fatalities, automatically detection of critical and unusual situations in the dense crowd is necessary. People visiting various malls and students studying in universities face a lot of difficulty because of the rush. So far there has not been any significant improvement to tackle this problem effectively. Our project aims to tackle this issue by providing a system for collecting, processing and visualizing the crowd behaviour. The end result of our system is a web and app user interface where users can browse through a range of information related to the crowd distribution and crowd movement within a campus and a city.
This project combines the power of Wifi devices, Big data, Machine learning and Data Visualization techniques to promote smart living and management. The main idea of this project is to analyze the CCTV in real time and tracking the Wifi probe requests of users for automatically sensing the crowd distribution and to provide statistical data to the users. The use of big data is to analyze and predict the level of crowdedness among the various places in the city and inside the campus also. It also captures the crowd movement to locate critical and crowding spots effectively. Furthermore, it monitors the crowd conditions and waiting time at important locations such as bus stops, railway stations, airports, religious places, campus canteen and uses Artificial Intelligence techniques to predict the upcoming crowd. For example, people can check the current crowdedness conditions and waiting time at bus stations and make smarter decisions on their mobility. Through big data analysis, people can not only compare the crowdedness but also can avoid the peak hours by AI prediction.
In this Pandemic situation, Social distancing is in much importance, without which there is a high risk of people getting affected by the virus. So we can use the surveillance cameras that are available at many location and compute, analyze the crowd density of a particular location. If the crowd density of a particular location is found to be greater than the allowed crowd density, we can alert the police authorities and it would be a great use for them to track the people who are not following the rules that are put forward by the government ie, we can prevent large crowd gathering which may lead to more people getting affected.
Crowd detection and density estimation from crowded images have a wide range of application such as crime detection, congestion, data driven smart campus, public safety, crowd abnormalities, visual surveillance, urban planning, bus stations, restaurants and various other places. Nowadays, crowd analysis is the most active-oriented research and trendy topic in computer vision. As a result, it will definitely help to make emergency controls and appropriate decisions for security and safety. This system can be used for the detection and counting people, crowd level and also alarms in the presence of dense crowd.
The objectives of this project are: Develop an automated system for collecting and processing input data. Develop algorithms for observing the crowd size in various places and predicting the crowd. Raise alarms in the case of over crowdedness. Design and build database for data storage. Build an intrusive app and web user interface for visualizing the crowd distribution and crowd movement information.
Thus, our project handles the difficult issue of including the quantity of items in pictures, a universal, principal issue in computer vision. While people and computer vision calculations, are profoundly blunder inclined, our algorithms and IOT devices consolidate the best of their abilities to convey high accuracy results at moderately low expenses providing an effective solution for this imminent problem.All these are back-end working of a web interface and a app that allow authorized person to sign in and gather the details about the targeted location from anywhere.
Built With
android
css
firebase
html
java
javascript
python
regression
sdc-net
spyder3
website
xml
Try it out
he-s3.s3.amazonaws.com
github.com
drive.google.com | Data Visualization and Crowd Analysis using ML Techniques | Real time crowd analysis in crowded places by using AI in CCTV footages | ['Rithik Jain', 'Vimal Kumar', 'Godi SaiTeja', 'Vijay Krishnaa'] | [] | ['android', 'css', 'firebase', 'html', 'java', 'javascript', 'python', 'regression', 'sdc-net', 'spyder3', 'website', 'xml'] | 12 |
9,890 | https://devpost.com/software/hey-mia | Main Landing Page
Mia Chatbot window for users looking to volunteer during COVID-19.
Organization dashboard where applicants are listed.
Organization dashboard that allows organizations to have real-time conversations with users.
Inspiration
With the pandemic comes permanent changes in every industry -- HR is no exception. Post-COVID times will be marked with a resurge in employment and volunteering opportunities, but with stricter social distancing rules comes a more constrained hiring process in terms of resources and time. Matilda aims to optimize the job search process for those in most urgent need but little to no experience, using conversational AI to match candidates with the best opportunities to their skillset and needs, while adapting the aspect of human interaction to social distancing realities.
//The Canadian government has recently announced grants for people that would be volunteering. However, non-profit organizations are struggling to answer the many emails they receive, and citizens often don't know where to start. Knowing many young people would be offering their help, we thought of building a conversational agent using Google's Dialogflow, as AI-powered chat is an increasingly popular medium for communication.
What it does
At its core, Mia connects users with organizations, facilitating the application process from both sides by offering an AI streamlined approach. For people looking to sign up for volunteering opportunities, they can start talking to the chatbot. Mia asks different questions and even your location, to find the closest opportunities near you in order to offer the safest and most personalized volunteering opportunity. For organizations, Mia is a platform that allows them to streamline their recruiting process. It helps quickly eliminate invalid candidates and only find themselves with candidates that are a good fit for their criteria.
How we built it
The backend for the chatbot was built using Dialogflow and written with JavaScript. It runs on Node.js for the backend. Angular.js has also been looked into for the front-end, though we did not have time to finish coding it. Hence, in the interest of saving time, we used Webflow to build the front-end of our website, as well as to prototype our future features. Webflow offers all the power of HTML, CSS and Javascript, but in a visual canvas. This allowed us to build our solution in a matter of days.
Challenges we ran into
Steven: I never had experience with Dialogflow and Node.js, which meant that I had to learn everything before going forward with this project. We also wanted to build our custom UI for the chatbot, but it required us to use some other kind of framework such as Angular.js, which we had no experience with. In the end, we stuck with the default Dialogflow themed UI for the chatbot.
Lucas: Being in charge of the front-end, I really wanted to be able to integrate the chat window into the rest of our UI. Unfortunately, this requires frameworks such as Angular.js, which I am unfamiliar with. The time constraint was also a factor, as I am usually very picky about the choice of colours, fonts, etc. However, both of these challenges pushed us to learn and create faster.
Accomplishments that We are proud of
We are extremely happy to be able to make a functioning chatbot, which can have meaningful conversations and redirect users to volunteering opportunities in town. We also have an extremely well-done user-friendly interface which facilitates the experience for users to sign up for volunteering opportunities!
.
What we learned
Steven: Through this project, I learned to use many different frameworks and tools such as Dialogflow, Node.js and Angular.js. I am personally a very Python guy, so this project has forced me to step out of my comfort zone in order to come up with something meaningful and impactful!
Lucas: I usually build my prototypes using Adobe XD, but I tried building them directly in Webflow in order to save time. I must say I really enjoyed this workflow: it allows me to build functional webpages while prototyping the front end for our future features. Once we are ready to integrate the back-end, we can just export the code and build our app directly from our site.
What's next for Hey Mia!
We plan on expanding the functionalities by partnering up with local organizations and using our chatbot to directly store users' information.
Built With
angular.js
css3
dialogflow
firebase
html5
javascript
node.js
webflow
Try it out
heymia.webflow.io | Matilda | Find volunteering opportunities today | we've all been through the tedious job search process. With Matilda, landing your next job opportunity is just a conversation away. Even after a global pandemic. | ['Lucas', 'Steven Gong'] | [] | ['angular.js', 'css3', 'dialogflow', 'firebase', 'html5', 'javascript', 'node.js', 'webflow'] | 13 |
9,890 | https://devpost.com/software/c-trac-app-for-tracking-corona-hotspots | Inspiration
During this current COVID 19 pandemic, I see health worker is curing the patients, doctors are innovating new medicine, the police is controlling the crowd movement and even bus drivers are helping people to get back to home. As a future engineer, I felt like my contribution is none, so I felt motivated to do my part and try to bring a positive change and to make sure my product can also be used in a future pandemic.
problem our project solves
we all can agree that this pandemic needs to overs soon so as we can meet our loved ones, in order to contain this pandemic, the government is using CONTACT TRACING APPS ( CTAs ). Research says if contact tracing is done correctly it can reduce the number of case 3 folds, then why the number is still rising? , the problem with these CTAs is they only tell whether you have come in contact with an infected person or not, what it doesn't tell us that from where the person caught the infection ( the parent source ). let's take an example if there are two-person 'X' and 'Y' and Y got infected then X will get notified by the current CTAs that he might have got an infection as he came in contact with Y, but it doesn't tell from Which PLACE y got the infection, this is crucial as if we don,t find out that PLACE then many other people who had visited that PLACE may get the infection.
what our project does
Our project C-TRACK 1st of it's kind of reverse contact tracing app, so let me explain how Reverse contact tracing works, whenever the user visits a place too frequently like a shopping mall. then that particular location will be saved inside the app and if in future user found COVID +ve then we can track down that shopping mall, the app will also send a notification to all over people who have visited that exact shopping mall, now health authorities can sanitize and lockdown that specific shopping mall instead of locking down the whole locality. the location stored is fully encrypted and can only be accessed by the user. it also has two additional feature
1.) it sends 'wear mask ' notification when the user leaves then house and 'wash hand' notification when the user returns the house, this small precaution can bring a huge change by keeping you and everyone around you safe.
2.) whenever the user enters a government certificated hotspot or RedZone he will get a warning notification
Challenges I ran into
1,) we lack financial support as we have to make this app from scratch.
2.) the problem in collecting data regarding government-certified hotspot and also we have to do a lot of research regarding the spread pattern of COVID-19.
3.) It was hard for us to get in contact with health workers as they were busy fighting an increasing number of patients so we have to talk to retired doctors.
4.) It took us too long to use it in real-time as during lockdown it was too hard to go outside in the quarantine but finally, after lockdown loosens a bit we tested it and it gave an excellent result.
What I learned
All team members of C-TRACK were able to grow their area of competence by participating in the whole process of idea definition, market research, validation, prototyping, and presentation. Through different mentor sessions, we learned that problems could be approached by many means, but most importantly our mission should be clear.
What's next for C - TRAC App for tracking corona hotspots
our app can be used for a future pandemic or seasonal diseases such as swine flu or bird flu.
Built With
android
android-studio
java | C - TRACK 1st ever reverse contact tracing App | Our app is 1st reverse contact tracing app which locate the possible hotspots from the user location history and also 1st safety awareness system which notify user to ( wear mask ) and ( wash hand). | ['Anup Paikaray', 'Arnab Paikaray'] | [] | ['android', 'android-studio', 'java'] | 14 |
9,890 | https://devpost.com/software/snip-c7h64u | Sign up process includes questions to help personalize users' feed
Home feed features curated before and after DIY posts with detailed descriptions on how projects were completed
Explore page allows users to see DIY projects from users all over the world and search for projects using hashtags or locations
Creator studio allows users to sketch and save their DIY ideas
Profile features the users general posts and their DIY projects for sale
Inspiration
With loss of business income becoming a huge issue during this pandemic, we wanted to create a platform that would allow people to easily generate income from their homes while living sustainably. By simply encouraging users to recycle clothing in their closets, upload to the platform, and hit sell, Snip provides users with a simple means to make money during these financially difficult times. Moreover, as lack of entertainment and social isolation are at its peak, we also wanted to provide a platform that would encourage people to work on fun DIY projects, engaging them in new ways to remain entertained from the comfort of their homes.
What it does
Snip is essentially a social media platform for users that are interested in learning how to repurpose their clothing and earn money for doing so. Users can explore DIY posts that align with their interests and gain inspiration from others. Once they are ready to share their own projects, they can upload before and after photos of their creation and gain green points which will later be rewarded with store discounts from our partner eco-friendly and sustainable clothing brands. This will help encourage users to revamp their clothing items and post on Snip. To encourage creativity and promote entertainment, we also included a creator studio, allowing users to sketch and save their future DIY designs on the app. Lastly, we wanted to provide an avenue of income for our users, so we included a marketplace feature. This feature allows users to buy and sell each other's creations.
Problems Solved
Snip is a platform that tackles climate change through the fashion industry. It encourages users to revamp, reuse or sell their old clothes while educating them on ways in which the fashion industry is affecting climate change. The platform provides:
Lack of entertainment and increased isolation
-Snip provides the user with a curated feed of DIY posts to personalize their experience and make it as enjoyable and entertaining for each user.
-The app also features a creator studio that provides another means of entertainment by allowing users to sketch and save design ideas.
Lack of business income
-Snip allows users to buy and sell their revamped clothing items to provide users with a source of income
Lack of education
-Snip provides news articles and blog posts about eco-friendly fashion trends, the harmful effects of fast fashion, and how the fashion industry is impacting climate change
-At Snip, we believe it is important for the world to remain informed on climate change issues as they are a driving factor of weak public health sectors in various countries struggling to contain COVID-19 and inevitably affect the living conditions of everyone around the world.
How Snip was built
We first designed our app as a team using Sketch and Proto.io to come up with a very detailed wireframe. Afterwards, we used Xcode to build out the app with the Swift language, using Firebase to maintain our database of users. Though we weren’t able to include the feature in this submission, I’ll be using Computer Vision and AI to implement the clothing recognition feature.
Challenges we ran into
We attempted to add computer vision but realized we had to implement several NodeJS libraries which would take more time.
Accomplishments we are most proud of
Without a UI/UX expert on the team, we are proud of our ability to think of the user experience at every stage of the app development process. For example, the signup process was very dull with a long list of questions in the beginning and eventually, we were able to select the most important questions and design them to make the signup process more fun for the user. Additionally, we are proud that we were able to create a platform that not only deals with the many issues associated with COVID-19, but one that will also be impactful after the pandemic as it tackles issues of climate change through the fashion industry.
What's next for Snip
Snip has a lot of exciting long-term goals that will allow us to:
Increase engagement and thus, increase the customer base for those looking to make money on the platform
-We will develop our rewards program by increasing the number of ways for users to gain points and partnering with eco-friendly and sustainable clothing brands to provide frequent users with store discounts.
Enhance entertainment for users
-We plan to collaborate with influencers who are passionate about DIY projects and thrifting to provide our users with live workshops. In the future, we will also allow frequent users to host live workshops.
Help ease communities out of mandated COVID-19 lockdowns while engaging our users in a more personal way
-The Snip team will be hosting in-person community clothing swaps in locations with the most active users, making sure to take necessary precautions like limiting the number of attendees and providing hand sanitizer stations.
Educate and engage younger users
-By hosting school workshops, we want to cultivate healthy and sustainable habits around fashion from a young age while equipping younger users with alternative sources of income should the world experience something like this again
Built With
swift
Try it out
github.com | Snip | An educational and e-commerce app that addresses the loss of income, increased isolation, and lack of entertainment during COVID-19 by encouraging users to repurpose and sell their clothes. | ['Nannette Akosua Boakye', 'Adaeze Anita Onyimah', 'Yasmeen Metellus'] | [] | ['swift'] | 15 |
9,890 | https://devpost.com/software/environment-ai-6di4jx | environment-ai
A platform for community-contributed lightweight AI tools to help save the planet. This platform aspires to the hub for all projects related to AI and Machine Learning which encourages community engagement, especially in these times of global crisis where people feel isolated and feel helpless about solving issues around them.
Inspiration
Machine Learning and AI concepts can be intimidating for a lot of people unfamiliar with the math and science behind it. I felt I could make a few machine-learning tools online which could be accessed by anyone with a phone or a desktop browser to solve real-world problems.
What it does
It enables anyone with internet access to use machine learning tools to solve tasks related to the environment and beyond, right from their browser. It's an aspirational platform that aims to be a hub for machine learning models for environment-related tasks.
How I built it
I trained it using Tensorflow.js, a lightweight javascript library version of the more powerful C++/Python Tensorflow library. Being a javascript library it can be used with any modern browser and removes the need for local dependencies. HTML, CSS, and Javascript were to glue together the project, which also included P5.js and ml5.js libraries.
Challenges I ran into
Training using a self-collected dataset. This was done as a proof of concept exercise with results pointing towards an easy path for implementation by the public in the future.
I ran into hurdles trying to get p5.js working alongside the ml5.js libraries but finally overcame it using their docs and StackOverflow.
Accomplishments that I'm proud of
Implementing and running machine learning models on the browser resulting in a project that can be potentially scaled in the future. This can potentially be useful to people with low internet access in many developing countries.
What I learned
Different javascript libraries and technologies which enabled the implementation of the machine learning concepts.
What's next for Environment AI
Build a production-grade platform to enable people to contribute to the growing list of machine learning tools.
Write docs to enable people to train their environment-specific machine learning models and share them with the rest of the community.
Find ways to make the models run offline. This could be really useful for people in developing countries with limited access to the internet.
Built With
css3
html5
javascript
ml5.js
p5.js
tensorflow
Try it out
arunavkonwar.github.io
github.com | Environment AI | A platform for community contributed lightweight AI tools to help save the planet | ['Arunav Konwar'] | [] | ['css3', 'html5', 'javascript', 'ml5.js', 'p5.js', 'tensorflow'] | 16 |
9,890 | https://devpost.com/software/covidconnectionsbluetooth | Scanning for Devices
Intro Page
Sent data
Data sent to Firebase
Pop-up and sent notification
Redesigned Ui
Covid Connections
Overview
This is an Android application to detect other devices that have the app installed by sending them data like its own UUID and the date/time of the scan, via Bluetooth. The app also stores received data in a Firebase Database. If someone was diagnosed with the Coronavirus, the owners of the devices of associated UUID's with that user can be notified, as they might be at risk too.
Challenges
Building this app was a huge challenge, but was really fun and I learned quite a bit. At first, I wanted to create this app using Flutter/Dart, which would allow Android/iOS cross-platform compatibility, but since Flutter is relatively new, it didn't have well developed Bluetooth libraries. I had then scrapped the idea and decided to work with Android. After following tutorials and researching, I found out how to use the Bluetooth libraries and went on from there.
What I Learned
The main things I learned from making this application was integrating Bluetooth, Threads, local Databases, and Cloud messaging.
Next Steps
I want to expand this to be more widespread, so that more people can accurately know what risk they may be at to make the world safer during this pandemic. A later project might include and iOS app that would increase usage.
Built With
java
xml
Try it out
github.com | Covid Connections | This is an Android application which detects if you are in proximity of another user, and stores it in Firebase. If you are impacted by Covid-19, the database shows those who are at risk of infection. | ['Shreyas Rana'] | [] | ['java', 'xml'] | 17 |
9,890 | https://devpost.com/software/planet-voice-social | Inspiration: Solving immediate and future Planetry crisis.
Solving Immedate Planetry Crisis and issues:
They are alots of things that can create planetry hazards like carbon emisions, wasting of water,consumption of excessive
can foods and bottles drinks etc.
1.) Educational Posts, Blogging and Enlightenment:
People need to be educated and enlightened on the danger of all this hazard. TO this effects, we created an application to
allow community to post, blogs, events, news and share
environmental information's via Blogs, photos, Videos, Posts etc while allowing the community to respond via likes,
comments, replies etc.
2.) Donations:
Donations can be anything eg. money, gift etc. The application allow the community members and philanthropist to donate money that will be use to keep the earth free.
The Application uses
Paypal Payment Gateways
to collect the payment donations.
The site Admin has to update his Paypal wallets Email address and other information's from the admin dashboard.
3.) Immediate Connections to Site Admin(Planetry Experts) Social Networks:
On the landing page,the applications allows the community members to reach out to
Planetry Experts on their various social media Eg.
Facebook, Whatsapp, Twitter
to learn and gather more information's from there on how to keep the planet safe.
All the site admin has to do is to login to the admin dashboard and updates all their Social Links so as to reflects on the landing page.
4.)Contact Us Mail:
Community members can use this to send emergency messages to the site admin on environmental emergency
situations. All this forms has a built-in internal defense against spam-bots.
All the site admin has to do is to login to the admin dashboard and updates all their
Contact us email address,
Phone numbers
etc so as to reflects on the landing page. This will enable site admin to receive messages straight to his email addresses
Solving Future Planetry Crisis:
I was reading about origin of covid-19 virus and I came across a
CNN
posts on how Chinese
Governments tries to silence doctor
Li Wenliang
who boldly blows whistle on the novel corona virus so that world will take actions and protective measures.
CNN Source Here:
https://edition.cnn.com/2020/02/03/asia/coronavirus-doctor-whistle-blower-intl-hnk/index.html
Some other doctors in China could have done the same but just that they are afraid of their governments and the same thing could happen to other Whistle Blowers in any other government
oppressing countries.
Solutions:
Posting, Sharing Educative and emergency information's anonymously.
We provide a system to allow people with good mind to post their Environmental, planetry observations, hazards in the form of Posts, Blogs, photos, videos etc. anonimously
without anyone knowing it was you.
The Blogs, post will not be seen from the Whistle Blower profile so you have nothing to be afraid of anyone tracking your back. . Only the site admin can have access.
other community members can only comments, likes, replies etc. on the anonymous post without ever knowing who shared it.
How to use/test the Applications:
(For testing this apps, Mozila Browser is my best)
The applications has both Admin and members sections though some other features are yet to be implemented due to lack of time.
Accessing the application as Admin:
You will require to make registration with 8 digit access code
good1982
Without this access code, you cannot register as an admin.
The Admin form is protected with built-in spambot shields.
Accessing the application as a Member:
As a community members, Environmental Bloggers, Experts etc, you will have
to register with a valid email address. Upon registration, a verification link will be sent to your email address to complete
your registration.
Admin can do other minor customization's on the landing page.
More features coming soon as can be seen from the apps members and admin dashboards.
Devices already Tested:
Highly mobile responsive and works on all devices ranging from mobiles smart phones to desktop devices.
Issues Currently having on testing
The app runs excellent locally on all browsers like
Mozila, UC, internet explorer 11 etc and some version of chrome.
For instance the Chrome in my laptops allows all the bootstraps files to load and the app is working excellent while chrome version in my desktop does not allow 2 bootstraps files to be loaded remotely saying error integrity check unless i loaded the 2 bootstrap files locally.
I know I can solve this little chrome issue later. its just some chrome browser issues
Try it out
equationdev.com | Planet Voice Social | Building an Immediate and a Sustainable solution to earthly Pandemic | [] | [] | [] | 18 |
9,890 | https://devpost.com/software/entlens | EntLens
Inspiration
Recent Covid-19 pandemic has prompted me to do some research on possible causes and cures of Covid-19. On Kaggle, I have discussed whether Covid-19 has some connection to White Nose Syndrome in Bats and to Malaria.
While face masks being mass popularized are great, they have some shortcomings. They can be suffocating and can make breathing difficult after a prolonged continuous use. They are not user friendly to keep always on, and may need to be removed while speaking or doing some activities. They can be in short supply when and where needed the most. The enormous recurring number of their production and disposal can pose a great threat to the environment. These shortcomings have motivated me to find an alternative to face masks.
A few years back, I had plucked out hairs from inside my nostrils. Thereafter, my allergies have increased substantially, and now I cannot live without a daily allergy tablet. This personal experience has led me to believe that hairs in nostrils and mustache on a man may be acting as a natural way of air filtration.
I have often wondered whether the custom of wearing nose rings and ear rings has some health benefits. Under the current pandemic situation, this curiosity has led me to understand relationship if any between nose ring popularity and Covid-19 incidents.
What it does
The correlation matrix in the Jupyter Notebook on my (Lapyl) GitHub repository named EntLens shows that:
Regions where nose rings are not popular have Covid-19 deaths significantly high and as high as 1208 per million.
Regions where nose rings are popular have Covid-19 deaths comparatively low and peaking at 677 per million.
This observation implies that nose rings may be offering some health benefits, by repelling viruses from from flowing into the respiratory tract through the nostrils.
How I built it
I gathered data of Covid-19 incidents in different regions of the world.
I googled for images of nose rings in different regions of the world. Based on results from these searches, I prepared a quantitative dataset of nose ring popularity in different regions of the world.
In a Python Jupyter Notebook, I analyzed and correlated these two datasets, and prepared a correlation matrix.
I prepared image collages and a video using appropriate Python codes.
Challenges I ran into
I could not find any data of nose ring popularity, and so, I had to rely on the above rudimentary method.
Accomplishments that I'm proud of
I do not claim to be correct in my conclusion, analysis, and ideas presented here. However, I definitely feel that the ideas presented here have a potential to pave a way towards some further research into a novel area and lead to some useful devices to save us from viruses.
What I learned
Viruses are crazy, and can make us crazy!
What's next for EntLens
This is just a beginning of a long journey.
I am now interested in designing:
An “Ear lens” that can repel viruses from flowing into the brain through the ears.
A “Nose lens” that can repel viruses from flowing into the respiratory tract through the nostrils.
A “Throat lens” that can repel viruses from flowing into the respiratory tract through the throat.
Built With
python
Try it out
github.com | EntLens | Ear Nose Throat Lenses to Repel Visuses | ['Lalit Patel'] | [] | ['python'] | 19 |
9,890 | https://devpost.com/software/myfacemaskapp | Prototype model 1 "Dany" pink opaque
Prototype model 1 "Dany" white opaque
AiRFace.it (App)
A new customizable, economic and ecological mask tailored to you
Millions of disposable masks are thrown out every day, which in addition to having a significant environmental impact on nature also have a high monetary expenditure.
To meet all these needs, the
AiRFace.it App
team has developed a project that allows the customization of the mask or the creation of transparent masks that can adapt to the features and therefore customizable by scanning the face in 3D.
This is
AiRFace.it App
, a mobile application that can be downloaded free on IOS and Android devices.
The scanning process is quick and easy: it happens through the use of the mobile phone camera.
In addition, the material used in the production of the masks, biodegradable and hypoallergenic allows a repeated use, being able to sterilize the washing at high temperatures .
The mask is therefore ergonomic and environmentally friendly, because you just need to change the filters.
The 3D model can also be printed from the comfort of the house without leaving. The advantage is that, being custom-built, the signs released by normal masks after hours of use will be reduced.
Considering the difficult and delicate situation we are experiencing,
AiRFace.it App
would ensure protection and prevention with zero impact on the environment and would meet individual needs.
It would be an optimal solution, without going out to buy it if you already have a 3D printer or otherwise we print and deliver directly to your home! The App is free as well as the availability of the various basic 3D models.
Ergonomic
My face mask with its 3D scanning process, allows you to create ergonomic masks suitable for every feature of your face. This custom adaptation will allow you to reduce the marks released by normal masks after hours of use.
3d Printer
The realization of the 3D masks allows anyone to create them independently.
In fact, a 3D printer and a mobile phone are enough to quickly create personalized templates based on the desired quantity.
Ecological
The material of these masks is absolutely ecological, a very important feature if you consider high consumption
daily, especially in
some sectors.
In fact, these masks can
be reused several times later
washing at high temperatures which allows sterilization.
Trasparent
One of the main features of AiRFace.it is transparency.
The idea of making these masks with a transparent material was born mainly from the awareness of the importance of lip reading for deaf people.
Privacy
For us your privacy comes first, that's why AiRFace.it complies with all Gdpr (
https://gdpr.eu
) regulations and no personal data will be transmitted.
The problem solved by the project
With AiRFace.it App we want to find the solution to the problem of the availability of personal protection devices for everyone, in fact thanks to this app anyone can print his mask, following our guidelines for the use of safe and biodegradable materials, with their own 3D printer,only if you are certificated member of our network to ensure the quality and safety of the mask produced according to all applicable regulations, so that you have a mask for you and your family that can last for all this complicated period that we are living.
The solution you bring to the table
AiRFace.it is installable for free on all iOS and Android devices that have compatibility requirements and in a simple automated way and can create your own 3D mask and send it directly to the 3d printer certificated
The impact of the solution on the crisis
The idea behind this project is to create a safe, cost-effective product that respects nature for us and future generations
The needs to continue the project
This project needs funds in order to create the best mask with the best materials and for this a significant investment in research and development in addition to wanting to make and print masks to those who do not have the opportunity to have their own 3D printer
The value of your post-crisis solutions
We believe a lot in this project because it is a valuable help to anyone who does not have the opportunity to always have a disposable mask and this mask can be reused even after this crisis (hopefully it ends as soon as possible) in any sector that needs personal protection devices
The AiR net blockchain
We are creating a network of certified makers to be able to print masks for doctors and nurses for free to thank them for their valuable help.
We are working with other startups to create a network of certified makers using the Ethereum blockchain to create smart contracts in order to be able to transparently verify the entire network.
We are creating a decentralized system that is based on blockchain eos to ensure the total transparency of certification of the materials used to print the masks.
Currently our team also collaborates in the creation of protective equipment for doctors and nurses to thank them for their difficult work.
Built With
blockchain
c#
html5
java
javascript
kotlin
objective-c
python
swift
Try it out
airface.it
bitbucket.org | AiRFace.it App | A new customizable and ecological mask tailored for you | ['Massimiliano Pizzola', 'Daniela Tabascio'] | [] | ['blockchain', 'c#', 'html5', 'java', 'javascript', 'kotlin', 'objective-c', 'python', 'swift'] | 20 |
9,890 | https://devpost.com/software/immune-and-ready-to-help | Virus Recovery Antibodies
Inspiration
With immunity, we will restore our community.
While the world continues to combat the Coronavirus, we all face the terrible reality that
until we discover a vaccine or develop herd immunity, social interaction presents a risk
of infection.
Medical facilities, essential businesses, and volunteer organizations are desperate for
healthy staff and volunteers. They need an easy way to share opportunities with local
resources who are likely immune.
What if they had a way to easily post work and volunteer opportunities and connect with
local resources who developed COVID-19 antibodies while recovering from the disease?
Imagine three recently recovered patients: a young nurse, a college student, and a
retired teacher. Having experienced the frightening reality of COVID-19 firsthand, they
want to help protect their loved ones and their community. They may be seeking
employment, or they may just want to give back.
Now imagine they had a service that found their location and showed them opportunities in
their area.
This idea inspired our team to create ImmuneAndReadyToHelp.com, a solution that
connects people who have COVID-19 antibodies to medical organizations, employers,
and volunteer opportunities, so that they can help their communities—and our
nation—recover.
What It Does
ImmuneAndReadyToHelp.com is a tool that uses geolocation to connect recovered COVID-19 individuals with nearby organizations who need them. When users visit the home page, the tool will show nearby opportunities.
For Organizations
Organizations can post opportunities with contact information, physical addresses and other detail. Organizations will be responsible for verifying the antibody status of applicants and abiding by HIPPA requirements.
For Individuals
Individuals who recovered from COVID-19 can contact organizations through the post. They will be required to
disclose their antibody status according to processes defined by the posting organization and HIPPA requirements.
How I Built It
I built the site on Azure in C#, using MongoDB Atlas to store posts, React and Razor pages for the front end, Google Maps API for geolocation and display, and MailGun to reliably send emails.
Challenges I Ran Into
Becoming a self-taught student again, I had to learn a smattering of unfamiliar technologies! I balanced learning, work, quarantine, taking care of children and fitting in hackathon development. It was hectic, but I'm happy with the result!
Built With
atlas
azure
c#
google-maps
mailgun
mongodb
react
Try it out
www.ImmuneAndReadyToHelp.com | Immune and Ready To Help | There's a strong need for Coronoavirus-immune healthcare workers, essential employees and volunteers during the global crisis; our website connects recovered patients with those opportunities. | ['Colin McGraw'] | ['3rd Place'] | ['atlas', 'azure', 'c#', 'google-maps', 'mailgun', 'mongodb', 'react'] | 21 |
9,890 | https://devpost.com/software/covid-19-drug-and-vaccine-r-d-with-ai-machine-learning-4wa7kd | cover photo
Inspiration
The way we discover drugs & vaccines is EXTREMELY inefficient. Something must have to be done here to decrease the future impacts of any kind of pandemic or biological warfare. We are accelerating drug discovery by leveraging machine learning algorithms to generate and create retro-synthesis pathways for drug molecule design and development.
try it out
VAE implementation on potential drug target:
VAE implementation on potential drug target:
VAE Implementation on random data:
VAE implementation on random data:
lightdock implementation:
lighdock implementation:
What it does
We are accelerating drug discovery by leveraging machine learning algorithms to generate and create retro-synthesis pathways for drugs molecule design and development, calculating minimum energy conformations of a potential candidate, calculating descriptors and shortlisting them based on the correlation coefficient, cross-correlation coefficient, dissimilarity distances, cluster analysis & genetic function approach, calculating drug-likeness property, ADME, applying Lipinski’s rule for shortlisting.
How we built it
1. Cheminformatics in Python: Predicting Solubility of Molecules | End-to-End Data Science Project
In this kaggle notebook, we will dive into the world of Cheminformatics which lies at the interface of Informatics and Chemistry. We will be reproducing a research article (by John S. Delaney
1) by applying Linear Regression to predict the solubility of molecules (i.e. solubility of drugs is an important physicochemical property in Drug discovery, design, and development).
This idea for this notebook was inspired by the excellent blog post by Pat Walters where he reproduced the linear regression model with a similar degree of performance as that of Delaney. This example is also briefly described in the book Deep Learning for the Life Sciences: Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More.
2. Subtyping, COVID-19 Therapeutic Research Findings
The goal of this exercise is to study this literature provided by the Kaggle COVID-19 challenge organizing team and to subtype the COVID-19 therapeutic research findings. Specifically, we carried out the following four parts of analyses:
Part A. Drugs that have been used in clinical trials for COVID-19. We identified and characterized the drugs in clinical trials by integrating the FDA drug database and PubChem repository. We hand-curated and summarized the reported effectiveness of each drug. We presented the mutual similarity of chemical structures across the drugs used in clinical trials.
We categorized the drugs based on their molecular mechanisms, which can facilitate the discovery of related drugs of similar mechanisms and the creation of an effective cocktail treatment.
Category 1. RNA mutagens
Category 2. Protease inhibitors
Category 3. Virus-entry blockers
Category 4. Virus-release blockers
Category 5. Monoclonal antibodies
Part B. Drugs that have been proposed by computational works. We identified the computational publications for COVID-19 drugs, categorized their approaches into the following categories, and listed their previous applications in other disease domains, and potential limitations.
Category 1. Gene-gene network-based algorithms.
Category 2. Expression-based algorithms
Category 3. Docking simulation of protein structure-based for
Category 3.a. Small molecules
Category 3.b. Monoclonal antibodies
Part C. Drugs that have been proposed by in vitro experiments of COVID-19 invading human cells. We characterized the chemical structures and analyzed the chemical similarity for this group.
For this list, other than literature mining, we carried out a machine learning experiment to prioritize previously unexplored FDA-approved drugs (to circumvent ADMET evaluation) for repurposing. After hand-removing the contaminations, we identified the following top candidates for repurposing: OLUMIANT(Baricitinib) used to treat rheumatoid arthritis, BRIMONIDINE, used to treat glaucoma, EDURANT(rilpivirine) used to treat Human Immunodeficiency Virus-1 (HIV-1), MARPLAN used to treat depression, Corlanor (ivabradine) used to reduce the spontaneous pacemaker activity of the cardiac sinus node. We listed the potential contaminations/biases in this and relevant protein binding-associated approaches.
Part D. Epitope study for vaccines We categorized vaccine studies by their approaches and discussed the background and limitations concerning evolution:
Approach 1. Homology-based with SARS-COV (the 2003 version of SARS), other coronavirus or Ebola.
Approach 2. Immunoinformatics including docking/molecular dynamics/protein structures/antigenicity predictions.
We hand-curated a list of 147 epitopes from these publications and their supplementary materials, grouped them by the source virus proteins, human T-cell/B-cell targets and MHC class. We merged all published epitopes into 124 consolidated groups by partial sub-sequence search and 91 unique virus protein sequence regions by BFS search algorithms. We hope the above lists will serve as the 'wisdom-of-the-crowd' reference for vaccine development.
Summary points and future recommended research topics for Phase 2.
Conclusion 1. There is not a single drug for which consistent positive response has been reported.
Conclusion 2. There are overlaps between the drugs in clinical trials, proposed by computational analysis and proposed by in vitro experiments. However, some of the overlaps, especially those with computational analysis may come from circularity in the methods.
Conclusion 3. Drug candidates proposed by computation and in vitro screening could be biased towards cancer-related targeted therapy and substantially contaminated by existing literature or sometimes anecdotes. This bias/contamination may affect a significant number of computation-based drug-repurposing studies including our work, and certainly not limited to COVID-19.
Future direction 1. Disagreement in the reported drug response can root from differences in dosage, baseline biometrics, and population groups. With more clinical trial results coming in, the next step is to carry out a meta-analysis to stratify these variables.
Future direction 2. Analyzing vaccine findings at this stage is premature as there is no clinical effectiveness study yet. It will be meaningful to make genome variation and vaccines (or maybe antibodies as well) into the same topic, therefore allowing connecting the genome variations to what fraction of the virus strains that a vaccine could cover.
Future direction 3. We suggest a topic on news (e.g., google news) retrieval for therapeutic development, as many (if not most) treatment responses may not first appear in manuscripts.
Finally, we would like to take this opportunity to make one comment: Literature tends to be biassed towards reporting positive results，known biology (e.g., cancer and immune- drugs), and anecdotes, and we should take the results of this exercise and other documents critically.
DISCUSSION LIST
Join our discussion forum on
DRUG & VACCINE R&D WITH AI & MACHINE LEARNING
INSTALLATION AND DATA REQUIREMENTS
Check the following datasets, these have been made public by our r&d department and some are already. Feel free to explore the data and augment it. These all data are either have already been included in the kaggle kernels or gets downloaded in that.
Delaney's solubility dataset
COVID-19 Open Research Dataset Challenge (CORD-19)
drugbank.ca dataset
drugbank.ca-chunk dataset
drugbank.ca-csv-chunk dataset
Challenges we ran into
Part A Subtyping drugs currently in clinical trial
A.1 Methods:
We first counted how many times each FDA drug occured in the documents provided by Kaggle:
A.2.1 The number of publications each drug appeared, top ones, >=100 times, are (full list in sorted_alresult):
103 hydrocortisone
106 ritonavir
111 prednisolone
A.2.2 the drugs that have been related to coronavirus in literature, and the top ones, >10 times, are (full list in sorted_alresult.coronavirus):
10 times: amoxicillin
10 times: fluorouracil
A.2.4.1 RNA mutagens
Viruses need to copy themselves in order to invade the host and transmit (like cancer cells), thus it makes sense that mutagens that block the copying can be used as drugs.
Remdesivir: It was studied in many publications related to coronavirus. It was suggested to be highly effective in the control of 2019-nCoV infection in vitro, while their cytotoxicity remains in control
A.2.4.2 Protease inhibitors
Ritonavir: It was suggested to inhibit proteases and thus block multiplication of the virus. It was reported to deliver a substantial clinical benefit for COVID-19 patients (0562f70516579d557cd1486000bb7aac5ccec2a1.json, and its effectiveness is suggested by computational docking studies.
Lopinavir: Lopinavir is a protease inhibitor. It was reported with substantial benefit for treating COVID-10 patients
A.3. Limitations
The above analysis has the following limitations:
We used a rather earlier version of the literature set (because the searching step took quite a long time), and some popular drugs, e.g. hydroxychloroquine are only discussed but without clear clinical conclusion yet.
Literature could be substantially biased towards positive results and by computational methods (discussed below).
Part B Subtyping computational approaches that are used to propose drug candidates
We then subtyped computational methods developed to repurposing drugs for COVID-19.
B.1 Methods
During reading the literature curated in Part A, we came across computational studies that focus on predicting drugs suitable for repurposing for COVID-19. These works tend to propose many drugs.
B.2 Results
B.2.1 Gene-gene network-based approaches
Example:
https://www.nature.com/articles/s41421-020-0153-3
repurposed drugs by network approaches based on homology analysis to other viruses. The authors proposed 16 potential drugs: Irbesartan, Torernifene, Camphor, Equilin, Mesalazine, Mercaptopurine, Paroxetine, Sirolimus, Carvedilol, Colchicine, Dactinomycin, Melatonin, Quinacrine, Eplerenone, Emodin, Oxymetholone.
Background: Network-based drug response has been intensively used in the cancer area and was shown to excel in several benchmarks.
B.2.2 Expression-based approaches
B.2.3 Docking or structural-based approaches
B.2.3.1 Small molecule prediction
B.2.3.2 Monoclonal antibody prediction
B.3 Limitations
Computationally proposed drugs tend to be a lot in a single piece of article, sometimes, hundreds of drugs in a single study.
Most of the works adopted methods from other pharmacogenomics field that were previously developed for cancers.
We are not aware these approaches have generated hypotheses that are used in real-world clinical trials even in popular fields, e.g. cancer, Alzheimer's. Thus, use them with cautions.
Part C. Drugs proposed by in vitro experiments
C.1 Methods
C.1.1 Data curation
Other than the drugs used in clinical trials and computational methods, we found an interesting study that carried out genome-wide in vitro binding screening of the virus proteins and human proteins, and proposed 37 drugs that directly C.1.2 Construction of training set
We carried out a machine learning exercise, with the hypothesis that the drugs that will be potentially effective should overlap globally in function of these drug targets. We could extract the chemical structure of 34 of the 37 drugs proposed by the authors, which are used as positive examples. The second positive set is the combination of the first positive set and four other drugs that are currently under clinical trial and whose chemical structure can be extracted: remdesivir, hydroxychloroquine, favipiravir and Vitamin C, and thus 38 in total.
The negative training set, which is also the candidate set, is constructed using the FDA approved list, which was downloaded in Oct 2019 from
https://www.accessdata.fda.gov/scripts/cder/daf/index.cfm
. This list has a total of 7305 drugs, 5596 of which we could obtain the fingerprinting structure.
C.1.3 Nested CV to prioritize drug candidates
For each round, we randomly selected 80% of the example as training, and 20% as testing. The prediction scores for the test set are recorded in each round. We repeated this process for 20 times ensuring all examples occurred in the test set (100 experiments in total). Then the average of each example was taken as the final prediction score.
C.2 Results
C.2.1 Top candidates in FDA approved drugs
Among the FDA approved drugs, we identified some top candidates that do not exist in the training gold standard. We hand-searched in literature for each of the top candidates with a probability >0.05 (55 in total). Most of them come from contaminations, i.e., overlapping with an example in the training set even though the drug appears with a C.3 Limitations and biases in the finding
Drugs proposed by in vitro or computational protein targets/gene-gene network approaches are definitely biased towards targeted therapies in cancers, because these drugs were intensively screened in cell line experiments. This is true for both the above list and probably the original list proposed through the binding experiments, and certainly other studies.
Second, low scores only mean the drugs are not similar to others that are being investigated in the study, rather than they are not useful. Remdesivir had a high score of 0.09 (we are not sure if this is an implicit contamination from the training set), the others had low scores, including Vitamin C, hydroxychloroquine and favipiravir.
Part D. Epitope study for vaccines
D.1 Methods
We identied all paragraphs that contain the word vaccine and COVID-19/SARS-COV-2. Then, we looked through each of the abstract. If deemed relevant, we go to the original paper and record down their methods and proposed epitopes
D.2 Results
D.2.1 Subtyping major approaches in vaccine research
D.2.1.1 Homology-based approach
D.2.1.1 Immunoinformatics
D.2.2 Compiled list of epitopes across the above publications
Accomplishments that we're proud of
D.2.4 Compiling the unique protein regions where epitopes have been identified from various publications by BFS
Now let us find out the unique virus protein regions where epitopes have been identified from various publications by partial sub-sequence overlap. The difference between this section and D.2.3 is the following: When epitode A and B overlap, and B and C overlap, but A and C do not overlap substantially, in the previous section, they are considered as separate groups as we were trying to find out non-overlapping peptides, while in this section, they are considered to be in the same group as they are in the same protein regions.
These are the unique groups of protein regions where epitopes have so far been identified:
What we learned
Summary points and future recommended research topics for Phase 2.
Conclusion 1. There is not a single drug for which consistent positive response has been reported.
Conclusion 2. There are overlaps between the drugs in clinical trials, proposed by computational analysis and proposed by in vitro experiments. However, some of the overlaps, especially those with computational analysis may come from circularity in the methods.
Conclusion 3. Drug candidates proposed by computation and in vitro screening could be biased towards cancer-related targeted therapy and substantially contaminated by existing literature or sometimes anecdotes. This bias/contamination may affect a significant number of computation-based drug-repurposing studies including our work, and certainly not limited to COVID-19.
What's next for COVID-19 drug and vaccine r&d with AI & Machine Learning
Future direction 1. Disagreement in the reported drug response can root from differences in dosage, baseline biometrics, and population groups. With more clinical trial results coming in, the next step is to carry out a meta-analysis to stratify these variables.
Future direction 2. Analyzing vaccine findings at this stage is premature as there is no clinical effectiveness study yet. It will be meaningful to make genome variation and vaccines (or maybe antibodies as well) into the same topic, therefore allowing connecting the genome variations to what fraction of the virus strains that a vaccine could cover.
Future direction 3. We suggest a topic on news (e.g., google news) retrieval for therapeutic development, as many (if not most) treatment responses may not first appear in manuscripts.
Finally, we would like to take this opportunity to make one comment: Literature tends to be biassed towards reporting positive results，known biology (e.g., cancer and immune- drugs), and anecdotes, and we should take the results of this exercise and other documents critically.
Built With
amazon-web-services
deepchem
sagemaker
tensorflow
Try it out
castme.life | COVID-19 drug and vaccine r&d with AI & Machine Learning | We are accelerating drug discovery by leveraging machine learning algorithms to generate and create retro-synthesis pathways for drugs molecule design and development. | ['Md. Zeeshan', 'Makarov Wr'] | [] | ['amazon-web-services', 'deepchem', 'sagemaker', 'tensorflow'] | 22 |
9,890 | https://devpost.com/software/safedemic | Display reports of social distancing violations (Click on marker for more information)
Heatmaps of the current spread of COVID-19
Heatmaps of the future spread of COVID-19 (created using AI)
Predict the number of future cases (determined using AI)
Live News & Developments
Virus Prevalence GeoChart
Live Statistics Widget
Telediagnosis Form
AI Model Performance: Predicted vs Observed Cases for Coahoma, Mississippi
AI Model Performance: Predicted vs Observed Cases for Bosnia and Herzegovina
AI Model Performance: Predicted vs Observed Cases for Charles City, Virginia
AI Model Performance: Predicted vs Observed Cases for Blount, Tennessee
Example of Storage of Violation Report in Firebase
Example of Storage of Telediagnosis Form in Firebase
Inspiration
We are in the midst of a global pandemic that is showing no signs of slowing down. As we all continue to play our part in social distancing, we want to provide the public with a web application that disseminates and collects data regarding current pandemics, their spread, and their impact on our world.
What it does
Safedemic allows users to report violations of pandemic-related policies, visualizes the current and predicted spread of pandemics via heat maps, and provides health guidelines, live news, and live statistics to inform users about recent developments regarding the specified pandemics. Safedemic will also ease the process of telediagnosis by allowing users to communicate their medical status to doctors through report forms.
How we built it
APPLICATION WORKFLOW:
Integration with Firebase Database
Login Screen
Report a Violation Form
Creation of current spread heatmaps
Creation of violation report map markers
Pandemic news panel
Obtain live data for total cases and country-based statistics
Include certified health guidelines
Include option to view the predicted spread in a user-defined location within a user-defined circular region (see machine learning workflow for further details)
Include telediagnosis form which can be sent to doctors (via email) for review
MACHINE LEARNING WORKFLOW:
Compile pandemic data from John Hopkins
Split data into train and test sets
Create a multilayer perceptron to predict the number of cases x days into the future (where x is an input)
Generalize the model to be able to break down the predicted new cases by location as well (in order to visualize predicted spread on map)
Train the model on the training set
Assess the performance of the machine learning model at each individual location and as a whole
Challenges we ran into
For the heatmaps pertaining to current spread, it became largely time-inefficient to obtain live data using web requests. Thus, we decided to store the data into a local .csv file and update the data every 10 hours. For the machine learning model, we had issues linking the model with the prediction spread visualizations on the map. Consequently, we stored the model predictions into a local .csv file and updated the predictions every 10 hours.
Accomplishments that we're proud of
We were proud that we could provide a more efficient form of telediagnosis (as opposed to time-consuming video conferences) and allow civilians to share/report violations of pandemic-related guidelines and laws. Furthermore, we are satisfied with how we visualized the violation reports, current spread, and predicted spread in the map section of the website.
What we learned
We learned how to effectively use the Google Maps API and News API. However, what was truly interesting about our endeavors was how we were able to integrate our prior machine learning and web development experience in order to create this web application.
What's next for Safedemic
We plan to include prediction spread visualization for all countries across the world. Moreover, we plan to attract users initially by using social media outreach on Facebook, Instagram, and Twitter. In addition, we will contact our local law enforcement officers and state representatives in order for them to advertise our product to their larger network. We believe given the current situation that many people will download our application in order to report violations as it is in their personal interest. Ultimately, we plan to attract users nationwide along with targeted advertising in areas with high numbers of infected people and metropolitan areas (NYC, London).
Built With
corona-virus-tracker
css3
firebase
google-maps
html5
javascript
news
python
tensorflow
typeform
Try it out
github.com
neilr23.github.io
drive.google.com | Safedemic | Combating global pandemics with data | ['Rohan Voddhi', 'Sai Manchikalapati', 'Suchet Sapre'] | ['Third Place!', 'Best Health Hack'] | ['corona-virus-tracker', 'css3', 'firebase', 'google-maps', 'html5', 'javascript', 'news', 'python', 'tensorflow', 'typeform'] | 23 |
9,890 | https://devpost.com/software/zunelectures-luvzwh | Upload your video with your login ID
Interface for transcription and tools for annotations.
Here, you will have the video playing by the side, while you can make annotations on the video transcription.
Registered domain name from domain.com:
https://www.zunelectures.online/
Inspiration
With university moving online recently, we all had to get used to online lectures. Often it is difficult to hear or follow the lecture as well due to the online format. Having the notes would be helpful to follow along with the lecture and enable us to write better notes.
What it does
ZuneLectures transcribes video lectures into text on an interface and allows you to add your own notes and annotations to that transcription while the video is playing, so that you can take better notes on what the video is saying.
The video can be played alongside the notes, and you have tools to use to make highlights and side notes on the transcription of the video, in order to help the user learn more from the video they are watching.
How we built it
We created a React app that uses a node.js backend, stores the video in a mongoDB database, and uses the google cloud speech-to-text library on that video to receive a transcription. Then, we used React to add the additional tools for users to make side notes and annotations on the transcription UI.
Challenges we ran into
Figuring out how to process the audio separately from a video file was a challenge for us initially. Once we figured out how to take the audio from the video file, we were able to use GCP on the audio to transcribe it into a text document. We also ran into some challenges with the backend and ensuring that our app and the Google Cloud Platform were linked. Additionally, we ran into issues with connecting to our MongoDB Atlas service, but we tried switching the provider from GCP to Azure and it seemed to fix the issue.
Accomplishments that we're proud of
We are proud that we managed to overcome sleep and the challenges of working remotely to get a final product running. As well, we are proud we managed to incorporate many technologies in our stack, and that we were able to successfully host on a domain.
What we learned
We learned how to use React over the weekend and how to use the Google Cloud Platform to convert the audio from the video into the transcription. As well, we learned how to work remotely with each other, and how to access video processing through MongoDB.
What's next for ZuneLectures
Increasing our reach to more platforms, including iOS, and Android. Marketing this product to users at different universities across the world, so that they can all benefit from this increased productivity.
Built With
azure
css
google-cloud
html
javascript
mongodb
node.js
react
speech-to-text
Try it out
www.zunelectures.online
github.com | ZuneLectures | Transcribes your video lectures so that you can annotate your notes for your online classes. | ['Ryan Larkin', 'Dmitry Tsarapkine', 'Karl Zhu', 'Carmen Lamprecht'] | [] | ['azure', 'css', 'google-cloud', 'html', 'javascript', 'mongodb', 'node.js', 'react', 'speech-to-text'] | 24 |
9,890 | https://devpost.com/software/covaid-bot | Inspiration
This bot was created during the COVID-19 pandemic. The pandemic where infected millions and killed thousands. And this project was inspired during this epidemic, with a mission to spread accurate information during the COVID-19 pandemic.
What it does
This is a discord bot, where people can ask the question to the bot, and the bot will provide a response. Here are the features available, or you can also just type
help
to the bot.
Just Chattin' - You can ask some basic questions about COVID-19, such as what is COVID-19.
Country Data - You can search for data in-country. You must include the country name and one of the following keywords: NewConfirmed, TotalConfirmed, NewDeaths, TotalDeaths, NewRecovered, or TotalRecovered.
tips Type tips you can see Public Announcement image made by Google/WHO about how to avoid getting COVID-19.
Where is the grocery near me? - To search for the groceries near an address, you can type grocery-. (Your address will only be used for search grocery.)
When is the best time to visit the grocery? - To check the best time to visit a grocery, you can type grocery--.
Detect whether you have COVID-19? - We also offered a few links to self-detect whether you have COVID-19 or not. Type detect to get the links.
How we built it
We built it using Python as our language and Google maps API and popular times API to get the best time to visit a grocery store.
Challenges we ran into
We ran into some challenges such as the use of popular times API, it keeps saying API keys are not correct, but we just changed our API key and it works now.
Accomplishments that we're proud of
The accomplishments that we're proud of are:
Actually create the chatbot! So after we run the test, the accuracy is about 58%. Not that good, but it's pretty consider it's our first time to create a chatbot.
Discord bot! Usage of discord.py is also our accomplishments. We actually turn it into a discord bot.
Popular times! This is our favorite accomplishment! Where you can type your address or your city name, then it will give you a list of the grocery store that is near you after we use an API to change your address to longitude and latitude, then you can find the best hour to visit the shop!
What we learned
We learned how to create a chatbot, how to turn this bot into discord bot and deploy it, how to write tests, how to incorporate multiple APIs, and just teamwork and finish the project on time!
What's next for CovAid Bot
We actually have multiple ideas on how should CovAid Bot's future be. It will definitely remain public, you can find the link below to add this bot. We would like to turn this into a web app, where people can access anywhere, not just on discord. And probably show some fancy graphs. And personally, I want to turn it into other bots, like a slack bot or Reddit bot, or more to serve more communities!
Thanks for reading! :)
Built With
api
discord
google-maps
popular-times
python
Try it out
discord.gg
discordapp.com
github.com | CovAid Bot | With mission to spread accurate information during this pandemic. | ['Fei Xie', 'Borna Sadeghi', 'boyuan12 Liu', 'Fahim Ahmed'] | [] | ['api', 'discord', 'google-maps', 'popular-times', 'python'] | 25 |
9,890 | https://devpost.com/software/covi-4avwyc | .
Built With
. | . | . | [] | [] | ['.'] | 26 |
9,890 | https://devpost.com/software/tohacks-project | DEMO LINK on
https://uzairmahmed.github.io/TOHacks2020/
Inspiration
As we are currently in the midst of a pandemic, we have all noticed that there are extremely lengthy line-ups in front of grocery stores, often taking 20-30 minutes to traverse, due to social distancing principles. We decided to create a product which would assist in eliminating these lines; by allowing people to book time slots beforehand to go and buy their necessities. We believe that the more attention Bookorona receives from people who stand in these line-ups, the greater of a chance they themselves will try out our faster and more efficient alternative.
What it does
Bookorona allows users to view and select available time slots, ranging from from 10 to 60 minutes of qualitative shopping. Once they select their desired slot, they can simply arrive at the store at that time, scan the store's respective QR code pictured in our dashboard. Once the system validates the user's booking, the user will be able to enjoy their shopping trip.
How I built it
We used a myriad of technologies to build our app, such as React Native, React, GCP, MongoDB, and Python. React Native was used for the mobile app, React was utilized for the dashboard, and MongoDB was our database with all the customer information. GCP was used for hosting the backend service, and for the Maps API. Finally, we used a variety of Python scripts as well.
Challenges I ran into
One of the major challenges that we faced was strategically dividing tasks amongst the team members in accordance with each individuals' expertise. With time, we were able to assess each others' skills and divide work accordingly to achieve our goal.
Accomplishments that I'm proud of
Each of us made sure to work with a tool/technology which we had never used before, so that the learning experience was maximized. Furthermore, we are very proud that we managed to efficiently work together, even though we were miles away from each other.
What I learned
We learned how to work together despite not being together physically, which was a large barrier to overcome. Furthermore, we also realized how much could really be done in just 24 hours of work if everyone tried their best and persevered.
What's next for Bookorona
We want to expand this service for other sectors, not only with fresh produce. For instance, stores which specialize in consumer electronics, home improvement, and so on and so forth.
Note
If the video of our project demo is not available on the link, please search up "Uzair Ahmed Bookorona TOHacks 2020 ft. Farhan Niranjan" on YouTube. Thank you.
Built With
google-cloud
mongodb
python
react
react-native
Try it out
uzairmahmed.github.io | Bookorona | Helping people get their groceries quicker during the unfortunate wrath of the Corona Virus | ['Niranjan Krishnaswamy', 'Uzair Ahmed', 'Farhan Mohammed'] | [] | ['google-cloud', 'mongodb', 'python', 'react', 'react-native'] | 27 |
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