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9,892 | https://devpost.com/software/store-line-tracker | Inspiration
inspired by how long it takes for my parents to go out and get groceries
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Store line tracker
Built With
javascript
python | Store line tracker | An application that is able to track how busy the lines are at various stores | ['Aman Puranik'] | [] | ['javascript', 'python'] | 79 |
9,892 | https://devpost.com/software/peter-ai | Inspiration
temp
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for peter.ai | peter.ai | Solving food waste through an online marketplace with AI-based quality control. | ['Kailas Moon'] | [] | [] | 80 |
9,892 | https://devpost.com/software/monday-finance | Inspiration
Many people have struggled with becoming more involved with investing in stocks. There are many factors that are accounted for and many beginners do not know which ones to focus on or have the knowledge to know what sources are credible. Many people fall for scams or invest too much into stocks they should not have. There exist courses to teach you but those are either expensive or are not credible. We as a group decided to create Monday Finance.
What it does
This is a service that summarizes all the factors that are needed to be considered in order to make a proper decision. It has a user-friendly interface where it displays all the data behind each stock. For example, the current price of the stock, the last price before closing, the time of closing, etc. In addition, it also displays news articles about their respective companies. This service also has an article credibility rating system where it tells the user the credibility of each article.
How We built it
We used the Yahoo API to take data and analyzed the data. We then filtered the data and took all the relevant information then organized and integrated the data into a user-friendly interface. It includes tables and graphs.
Challenges we ran into
Our team had a bigger plan ahead for us but due to the lack of knowledge in areas of coding we were unable to fully project our final ideas. The idea of having alerts that would notify the user of important events and drastic changes within each stock was not implemented due to the time restraint. We were also planning on adding graphs to show the data in a more user-friendly manner but was unable to do so with our current knowledge.
Accomplishments that we proud of
We are honestly proud of almost everything we built. We had no prior web development experience, so just seeing webpages being created with HTML, was very interesting to us. Our greatest accomplishment was setting up the API calls. Getting information from yahoo finance, and then being able to display that information on our own website, was amazing.
What we learned
For 3/4 of the members in this project, it was our first time doing any web development. So we scratched the surface on things like HTML, CSS, javascript, Django, and angular. As for the topics of stocks, we had to pick what information was useful for a beginner. So we had to learn and classify different topics related to stocks, to ensure that only easily digestible information appears on mondayfinance.tech.
What's next for Monday Finance
Our goal for mondayfinance.tech, is to keep it simple with the information it provides. So in terms of content, not much will be changed. One thing we were unable to do, was to create a graph that shows the price history of a particular stock over time. So in our immediate next steps, that is what we would fix/add.mondayfinance.tech is just the first of many websites that will fall under the Monday Finance brand. We would create offshoot websites such as tuesdayfinance.tech, and wednesdayfinance.tech, which provide more information regarding stocks and finance in general. So just to reiterate, our long term goal is to create more websites with varying levels of knowledge to help people understand the financial world better.
Built With
css3
django
html5
javascript
python
Try it out
github.com
drive.google.com | Monday Finance | A stock info and news aggregrator for ease of access. | ['Thanigajan Sangarapillai', 'Rajat Kumar', 'Mohammad Shajee Zaman', 'Ransika Perera'] | [] | ['css3', 'django', 'html5', 'javascript', 'python'] | 81 |
9,892 | https://devpost.com/software/covidsourcing | Inspiration
Create a user-friendly app/database to crowdsource medical supplies. The main goal is to encourage collaboration between the general public, research, and the healthcare industry to better distribute supplies based on priority.
What is the issue
Medical Supplies are constantly in shortage
Especially during COVID-19, being able to determine where demand is needed for supplies, where different parts are being made, and how to streamline the manufacturing process is extremely important
Finding/distributing supplies efficiently is extremely difficult on a large scale
How can we efficiently provide supply/demand information so that supplies can be monitored and managed better?
What it does
People are buying supplies from untrusted sources
We need one platform; peer-reviewed; publicly accessible
Create a user-friendly app to crowdsource medical supplies. The main goal is to encourage collaboration between the general public, research, and the healthcare industry to better distribute supplies based on priority.
Main Deliverables
Making this information publicly accessible
Effectively verifying this information with the medical community
Prioritize demand for supplies based on:
a) The number of cases
b) Do they have local suppliers?
c) Do they have supplies?
Distribute supplies
Applications
COVID-19
Natural Disaster Relief, Relief Efforts
General Crowdsourcing of medical supplies (e.g. Vaccine Chemicals) --> Reduces costs of development; instead of purchasing new chemicals for each trial, researchers can source unused supplies
Crowdsourcing new designs (e.g. research at universities, new med supply start-ups, etc)
Especially for Relief Efforts, when having as many people contributing as possible to supplying effective and as many supplies as possible, there needs to be an efficient way to organize this.
On a daily basis, this can be applied to helping third-world countries and strengthening our global health system.
What sets our app apart
Being able to keep track of global supplies and new innovative designs
Peer Review
a) New designs for medical supplies can be posted with their location (e.g. new face shield design made by a researcher, new design for a ventilator valve, etc)
b) Hospitals who are in dire need of new supplies and can’t find them elsewhere can test these new supplies and verify they work
Challenge: Where will all these new supplies go after COVID-19?
a) Our program prioritizes demand for supplies and determines where these supplies can go later (e.g. communities with poorer health care infrastructure, etc)
Scale Up
a) With enough users, this wealth of information will be extremely helpful in strengthening our local AND global health system
How we built it
Google Firebase - Once the application is in its development phase, we plan to incorporate Google Firebase to store data. The following is an example of how we plan to use Google Firebase to store supplier data.
Main Functions
Everyone can edit the map and add locations of (verified by us):
If you are a supplier, the following information is required:
a) What they are making
b) Capacity (how many are you able to create every day
c) How they are making it (grade of facilities)
d) What other supplies they need (are they just making the plastic covering of face shields? Do they need someone else to supply the headbands? )
e) Certifications (where can it be used, medical-grade?)
If you are an area of need:
a) What supplies they need
b) how many, standards of supplies (suitable for long term care homes? Hospitals? Just general wear?)
Prioritize Areas of Need
a) Who is the closest supplier?
b) How many are needed vs how many can effectively be transported
Next Steps
Currently focusing on just masks
How do we determine who can edit the information?
Can anyone add a location of need?
Creating accounts may be the next step to this and would require a lot more security
In the future, we will also recognize formal, as well as informal organizations (e.g. families, unofficial not-for-profits) that distribute supplies, so that resources can go where they are needed the most.
Slide stack | Covidsourcing | Create a user friendly database to crowdsource medical supplies to high priority areas. | ['Nevada Graci', 'Taylor Day', 'Sara Gehlaut'] | [] | [] | 82 |
9,892 | https://devpost.com/software/whiteboards-nlbq7s | Inspiration
Most of our inspiration came from the smart boards that are used within high school classrooms. Maybe it was because we were young and impressed by tech or maybe it was because they were just fricken cool, but those smart boards always amazed us. For this project, we tried to embody the feeling that those smart boards gave off while being simple and intuitive to use.
What it does
Our website is an online whiteboard sharing tool. It allows for multiple users to connect to the same whiteboard through the sharing of a single link. Each user can update the board and see their changes plus everyone else's in real time. With infinite space on the board and the ability to zoom in and out, users have the freedom to draw whatever they want. They can choose to use a brush tool, multiple pre-calculated shapes, or simply write text onto the board, all while being able to choose the colour of their choice. Users can upload pictures to be added to the board and they can download screen captures of the current board for later use. To bring it all together, there is a live text channel for each whiteboard which is linked to a users Google account.
How we built it
We decided to go with Google Firebase as our hosting service with the integrated use of Google Cloud Firestore for our real time updating database. Each document in the database represents a different whiteboard, each containing all the information required to draw the board as well as all of the messages sent to that board. Our database objects look like:
{
strokes: [{
id: "unique id",
colour: "colour in hex",
points: [{
x: "x coordinate",
y: "y coordinate"
}],
shape: "type of shape (brush, line, rectangle, etc.)",
strokeWeight: "thickness of line"
}],
messages: [{
id: "unique id",
user: "Google account username",
content: "message contents"
}],
}
The client side is done in plain old JavaScript as we did not need any special features from frameworks and thus we were able to keep it lightweight as a simple single page application.
Challenges we ran into
Most of the challenges that we ran into during this project revolved around the translation and manipulation of the whiteboard interface. We wanted it to be as smooth and easy to use as possible, but this turned out to be quite difficult as smooth movement required a lot of calculations. This brought us back to our high school days, using trigonometry once again to solve problems revolving around zooming. The combination of scaling brush strokes while zooming in on a single point made for some interesting math. An added challenge comes with the fact that the board is infinity large.
Accomplishments that we're proud of
Honestly, we are proud of how clean and intuitive the project turned out to be. Normally for hackathons its about hacking it out, coming up with a solution that works and that's it. With this one, our project is easy to use and something that we all personally see ourselves using all of the time. We came out with a polished product and we are all proud of that.
What we learned
This was all of our first times using Google Firebase so we all learned quite a lot about what it can do and where its strong points lie. We learned about the difficulties that come with making real time updating apps that span multiple concurrent users. But most importantly, we learned how to come up with solutions FAST! There was no time to waste, we had to be efficient and quick on our feet.
What's next for whiteboards
The next step for this project would be to add user authentication and the ability to whitelist people for boards. This would allow us to get into the educational space and give teachers the ability to invite their students to a whiteboard to hold classes. Teachers would be able to limit their students abilities to draw on the board. Finally we would like to add voice chat functionality to give our tool the opportunity to be a fully fledged classroom. With COVID-19 moving all schools online, whiteboards could be a great alternative to online classrooms. It is interactive, easy to use, and most importantly FUN!
Built With
canvas
css3
firebase
firestore
html5
javascript
Try it out
whiteboards.tech
white-board.online
github.com | whiteboards | Quick and light-weight, sharing your ideas has never been easier. Quickly pull up a whiteboard to sketch out your ideas with friends. Or get creative and make something special to show to the world! | ['Ethan Zohar', 'Matthew Paulin', 'Alex Shen'] | [] | ['canvas', 'css3', 'firebase', 'firestore', 'html5', 'javascript'] | 83 |
9,892 | https://devpost.com/software/contact-tracking-app-1li7eo | preliminary layout for the app
Inspiration
Contact tracing has been shown to be the most effective method of combating the spread of COVID19. The current method to do this involves a person making phone calls and asking people with COVID19 questions about everywhere they went in the past 2 weeks.
What it does
The app will log the time and users location every minute into a file. At the end of the day the file is uploaded to a server.
each user is tagged as "COVID19" "At Risk" or "Healthy"
The server will check that data against other users that have matching location and time data. The server will then send a notification back to the user if they have been within 6 feet of a person who has COVID19 or is "AT Risk"of having it.
If a user has been tested positive for COVID19, an admin(healthcare worker) can log into the server and change the users health statues to "COVID19" when this is done, the server will check its 2 week log of location data and send notifications to all users that that person has been in contact with.
The server will only keep data for a 2 week period. This will save on server space and help with fears of government tracking.
The admin can also change users status back to healthy when the user recovers from Covid19
How we built it
watched the workshops to get info on google firestore
used Figma to build a wire from for the app
Used android studio to build app
make $50 free account on google firestore. (took way longer than needed, technical issues)
integrated firestore into app.
at this point we realized that there was not enough time to finish the firestore integration =(
Challenges we ran into
coordinating tasks with a team members that have never met and only through the internet.
setting up the firestore account due to email issues. it was sorted out at 10:00 a.m.
Accomplishments that we are proud of
coordinating with each other
getting the app to work with online servers
adapting project requirements to accomplish as many of the goals as possible with the time left
What we learned
server app communication
android app creation, frontend and backend,
how to use google firestore
time management
What's next for Contact Tracking App
Finish the app and firestore integration.
Get it in the hands of a population that is experiencing a COVID19 outbreak.
Add more data analyses in the server to find hot spots of infection, which can find asymptomatic people. and give predictions on areas where COVID19 will easily spread.
code here:
https://youtu.be/-oNOgfixYmI
Built With
android-studio
firestore
google-maps
heatmap
java
sdk-for-android | hContact Tracking App | An app that tracks user location and sends the user a message if they have been close to a user with Covid19 in the past 2 weeks | ['Kevin Goodenough', 'Henry So', 'Nabeel Amod'] | [] | ['android-studio', 'firestore', 'google-maps', 'heatmap', 'java', 'sdk-for-android'] | 84 |
9,892 | https://devpost.com/software/6-feet-apart | Title Screen
Gameplay
GameOver
It all started yesterday...
I was at Walmart, and it was crawling with
shoppers
. All those potential cases that I could come into contact with, all those products that they potentially touched or coughed on... I was scared for my
life
. I thought to myself, people need to learn to
stay at home
.
BUT QUARANTINE IS
BORING!
...not anymore though....
What if there was a game that is as fun as it is educational about the COVID-19 Pandemic that also promotes social distancing and other infection-prevention techniques.
Don't go outside! Play a game that simulates the stress and anxiety of being outside by playing as a person inside the most hectic of places right now instead: the grocery store.
We built it by first figuring out all the classes and splitting up the work.
Making this project, me and my team learned to use the Greenfoot IDE and basic Java. We learned the essentials of basic team work and planning.
Many challenges we faced involved communication. We all had a different idea of how the game would look like and it was hard to work together. But in the end, we pulled through.
Built With
greenfoot
java
Try it out
github.com
www.greenfoot.org | 6-Ft-Apart | When everyone has to stay at home, boredom is inevitable, leading some to go outside of their homes. But alas, a fun and educational game about social distancing in the most hectic of places is born. | ['Albert Lai', 'sevenj7 Jang', 'Ethan Kang', 'Enoch Poon'] | [] | ['greenfoot', 'java'] | 85 |
9,892 | https://devpost.com/software/obsidion | Domain Name - Obsidion.tech (Registered)
Inspiration
Obsidion is latin for investment. 78% of the north american population live paycheck to paycheck and have very poor money management skills. We wanted to create a tool for the average joe that will enable them to be in control of their finances and be able to achieve financial freedom.
What it does
The app can track all kinds of finance related stuff ranging from transaction, expenses, income, investments, credit history etc. The app will be able to sync all that data from the user's bank. It also has a feature that uses machine learning to track spending habits of the user and prompts them necessary money management tips. There's also a section called 'Did you know' which includes fundamental finance information regarding many things that the user might have not known. This will help the user be more familiar with the commonly used terms and money management rules
How We built it
For the back-end, We first created a REST API using express and mongoDb. For the mobile app, we used react native and some other packages such as bootstrap etc. We also created a web api using python and flask that uses
machine learning (linear regression, logistic regression and decision tree) to display current and future visual representations of their spending habits. For the did you know section, we used Uipath to webscrape information regarding finance fundamentals.
Challenges We ran into
One of the biggest challenge was coming to a mutual agreement regarding the project idea. After brainstorming for a few hours and wasting some time, we finally decided to pursue this project. Setting up the rest API was a bit of a challenge since we had to make sure the user data is secure and the login and authentication routes are protected. It also a challenge to make the schema of the database the same as the input data from the app. Furthermore, a problem that arose when we were uploading our machine learning web api to heroku was that the slug size was too large. We had to curve around this problem by rearranging the entire program to use less storage-intensive modules.
Accomplishments that we are proud of
We're happy that we could collaborate and put together an app that is fully functional in less than a day. Considering that we wasted a bunch of time at the beginning, we feel like we did a good job by somehow managing to get both the front end and the back end up and running. We're also glad that we actually implemented 90% of the features which we originally planned for. This project taught us alot about project management and efficiency.
What we learned
We learned a lot of fascinating things during this hackathon. One thing we learned was how to use json webtokens to protect the routes so that the user cannot get access to the information without logging in, and also how to learned to use the bcrypt package to hash the passwords. We also learned how to use a machine learning web api to send and recieve information (such as graphs) from various front ends.
What's next for Obsidion
We hope to partner with all the major banks so that we can personalize the user experience of the app further. We also plan on using a freemium model for obsidion. So the basic functionality of the app will be free but there will be subscription model for users who would like to have the premium services such as analytics of spending habits, money management tips etc. The main source of revenue will be advertisements on the free version of the app.
Built With
css3
decision-trees
express.js
flask
heroku
html5
javascript
linear-regression
logistic-regression
machine-learning
mongodb
node.js
python
react-native
sass
Try it out
github.com
tohack.herokuapp.com | Obsidion | An All-in-one platform for your finances. Master your path towards Financial Success | ['Mihir Kachroo', 'Neha Pawar', 'Saffat Aziz', 'Dhir Kachroo'] | [] | ['css3', 'decision-trees', 'express.js', 'flask', 'heroku', 'html5', 'javascript', 'linear-regression', 'logistic-regression', 'machine-learning', 'mongodb', 'node.js', 'python', 'react-native', 'sass'] | 86 |
9,892 | https://devpost.com/software/no-more-rona-szn | Inspiration
corona
What it does
no corona
How I built it
with fingers
Challenges I ran into
making it
Accomplishments that I'm proud of
making it
What I learned
programming
What's next for No More Rona Szn
nothings next because no more rona szn
Built With
computers | No More Rona Szn | We do good | ['Huzaifa Ahmad'] | [] | ['computers'] | 87 |
9,892 | https://devpost.com/software/farmlink | 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 FarmLink | FarmLink | TBD | ['Andy Lee', 'Leon Han', 'Alex Han'] | [] | [] | 88 |
9,892 | https://devpost.com/software/plutus-dstzgf | This is a quick example of how the database will look.
Inspiration
One of our team members built a platform that provides free financial literacy (@mon.easy on Instagram) and realized that millions of people losing jobs means millions of financial plans that need to be updated or created. The problem is that platforms for developing a financial outlook are not readily available and if so they are either not effective or not open-source/free. We wanted to create an easy-to-use tool that can ease the anxiety people's wallets are feeling during this uncertain economic time.
What it does
After answering up to 18 questions, Plutus provides a recommendation with actionable steps on what you should do next/plan for. The advice is not only easy-to-follow and void of financial jargon but it's also catered to the user. The majority of the questions they answer will not be the same as another user... it's all dependent on your situation.
How I built it
We used Figma for all the front-end development but a combination of HTML, CSS, and Java for the back-end development (and google slides for our pitch-deck). In addition, we used Google Firebase for the first time.
Challenges I ran into
We ran into a couple of roadblocks while trying to work with firebase in the javascript language. This was our absolute first time touching javascript, therefore, it was tough understanding the syntax on such a short notice and implementing firebase alongside that.
Accomplishments that I'm proud of
We're pretty proud of the overall product as we believe this is something that could truly change many people's lives especially in times such as these. Proper money managing is crucial for everyone, thus, another aspect we were proud of is that we were able to include minimal financial jargon to ensure that users of any age will be able to use this app and gain critical insight into their finances. Lastly, we're all very proud of how we were able to work together as a team and explore new technologies to the best of our ability to create this project, skills such as these are invaluable and we were really happy that we were able to do it effectively even on such a time crunch.
What I learned
As mentioned above, all of our team members explored new technologies. One team member explored more of the backend, such as with Firebase and Google Cloud, while another team member learnt prototyping and effective UI design, while another one explored the world of APIs, their use and how to create one. Furthermore, we all dabbled into the world of data collection and how useful it is.
What's next for Plutus
We want to implement an API for Plutus because we feel it would significantly improve data collection and provide better recommendations/advice for our users. We also want to further develop the platform and adapt to it to be usable in a post-COVID 19 world so users can rely on it in any economic climate (ex: similar to a general Banking app). Finally, we want to create a fully functional mobile app which resembles our front-end creation from Figma.
Try it out
www.figma.com
github.com | Plutus | Plutus provides financial guidance to virtually anyone during a time of much economic uncertainty | ['Faiq Ahmad', 'Isra Zahid', 'Tammy Zeng'] | [] | [] | 89 |
9,892 | https://devpost.com/software/lokl | Early stage prototyping for our website
Inspiration
Many of our group members have witnessed first hand how this pandemic is impacting local businesses. We see that many local businesses are running an extreme risk of closing their doors permanently due to their current state.
What it does
Our platform allows community members to connect and support local businesses and charities and stay up to date with the latest local news regarding COVID-19.
How I built it
We are creating this website using HTML and CSS code as well as figma to design the user interface of the website.
Challenges I ran into
We have struggled in the aspect of taking stored data and creating user profiles from them.
Accomplishments that I'm proud of
We believe that the UI looks very professional and clean, and the inner CSS and HTML code is very well structured.
What I learned
We learned many things regarding google firebase and firestore.
What's next for LOKL
We plan on continuing LOKL after this pandemic to create a tight-knit community platform.
Built With
css
google-firebase
google-firestore
html | LOKL | Here at LOKL, we have created a platform that allows for community members to connect with local businesses and charities, as well as obtain information on COVID-19 based on their location. | ['Austin Jack', 'Ryan Lott', 'Naureen Kaur', 'GalenWoodburn Woodburn'] | [] | ['css', 'google-firebase', 'google-firestore', 'html'] | 90 |
9,892 | https://devpost.com/software/ehealth-ixhog5 | Inspiration
This project was inspired by the promotion of social distancing and quarantine during the COVID-19 situation. While at home, it is easy to lose track of one's physical and mental health so we believed that an app could assist users with staying healthy during this time.
What it does
The app consists of 2 tabs that enables users to switch between entering their physical and mental health data. Within these tabs, users can track various metrics, such as their screen time and water intake.
How I built it
We built the app with Android Studio using the Flutter framework and Google Cloud Firebase
Challenges I ran into
We ran into challenges when connecting Firebase to Flutter and when retrieving data from the Firebase database
Accomplishments that I'm proud of
We are proud of our planning process for the tasks that need to be accomplished and we are proud of using both a framework and database to add more features to the app.
Built With
android-studio
dart
firebase
flutter
Try it out
github.com | eHealth | This project is designed as a utility to help people monitor both their mental and physical health using metrics derived from various health organizations. | ['Yasemin Al-Banna', 'Ashpan Raskar', 'Amy Wang', 'Jakeb Chouinard'] | [] | ['android-studio', 'dart', 'firebase', 'flutter'] | 91 |
9,892 | https://devpost.com/software/covid-companion | Inspiration
We all need a friend to help us keep calm about the ongoing crisis. With the advent of social distancing, there has been an increased need for companionship to help cope with the extreme isolation. Thus, we decided to create a program which would "talk" to the user, providing them some kind of companionship.
What It Does
Our project is a chatbot to help people cope with the isolation brought about by instances of social distancing, both for the present and the future. In its current state, it is capable of conversing to a user about their mental wellbeing, as well as their thoughts on the COVID-19 virus and how it is adversely affecting them.
How We Built It
To build our program, we started by utilizing the Tensorflow library for Python, which contains tools for creating a Deep Learning AI. We used Tensorflow to put our bot through a training loop to develop a neural network. In this loop, the bot would receive inputs from the user, then attempt to identify an appropriate response. To determine what prompts the AI would look out for, we had the training program refer to a .json file containing a list of topics, each with their own prompts and responses. Once we had completed the reference list, we trained the bot to develop its neural network by providing it inputs that were similar to the prompts on the .json file. Our initial version achieved a 50% success rate, and our final version is at a 98% success rate.
Challenges We Ran Into
We encountered a bug in Flask when trying to use TensorFlow. It may have been about the version and blocked the module from running. We fixed the issue after a lot of hair pulling and reinstalling all dependencies.
Accomplishments that we are proud of
Our crowning accomplishment was actually getting the neural network to properly function. As mentioned above, we ran into issues with our repository initially, causing Tensorflow to not be identified. Thus, when we finally got the program to work, it was quite satisfying.
What We Learned
For a start, we learned that neural networks are much more straightforward than initially expected. When our team initially began to work on this project, we were somewhat hesitant to create any kind of neural network, as we did not have any experience with such a system. However, we learned after some trial and error that neural networks are a lot more straightforward than expected to set up, as the only key componenents they need are a training program and a starting data set.
What's Next For COVID Companion
There are a multitude of changes we have in mind for the COVID Companion in the future. We want to expand the scope of our chatbot to cover a wider variety of topics. Another cool next step would be to pull stats in real time from Stats Canada to give people an easy way to keep track of the current situation. Finally, we would expand on our website, maybe adding a pledge page where people could donate to a local charity that helps people in their community survive through the pandemic.
Built With
flask
nltk
python
tensorflow
Try it out
github.com | COVID Companion | A chatbot that helps to teach people about best practices for COVID-19 | ['DLupas L', 'Daniel Kurien', 'Rish Tamhane'] | [] | ['flask', 'nltk', 'python', 'tensorflow'] | 92 |
9,892 | https://devpost.com/software/qbuddy | Homepage of QBuddy
Inspiration
The boredom and isolation that each of us are feeling right now, as a product of the COVID-19 pandemic.
What it does
Q(uarantine)Buddy was made to support distancing measures by providing fun and creative activities galore! Makes recommendations off of previous ratings on activities and has a leaderboard and point system to keep track of activity.
How we built it
Through Python, Bubble.io, and using a machine learning algorithm for the recommendation system.
Challenges we ran into
Finding a way to make the UI presentable through learning how to use bubble.io, as well as time constraints for additional features.
Accomplishments that we're proud of
Creating an entertaining and relevant application.
What we learned
How to use the Bubble app development program as well as some new machine learning concepts.
What's next for QBuddy
Mobile Android/IOS App development and new interesting categories to keep the fun going!
Built With
python
Try it out
drive.google.com
bubble.io | QBuddy | Boredom Begone! Helps to keep you engaged and active during these trying times of social distancing and self-isolation. | ['Arun Vora', 'Idara Umoren', 'dg9278 Guo'] | [] | ['python'] | 93 |
9,892 | https://devpost.com/software/bazaar-wh4pj2 | Bazaar | Bazaar | Bazaar | ['Gavin Yuan'] | [] | [] | 94 |
9,892 | https://devpost.com/software/quickskill | Inspiration
Lack of organisation during quarantine led to members in our group being unmotivated. Even when they had motivation, not knowing how to begin a task often was debilitating for productivity.
What it does
QuickSkill keeps track of tasks and to-do's for the end-user while finding articles and videos to help the user do the specific tasks entered.
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for QuickSkill
Built With
css
css3
firebase
html
html5
javascript | QuickSkill | A to-do list which helps you do the things you need to. | ['Yuvraj Walia'] | [] | ['css', 'css3', 'firebase', 'html', 'html5', 'javascript'] | 95 |
9,892 | https://devpost.com/software/corona-awareness-be-aware-be-safe-o2n9sj | Inspiration
Necessity to gather and filter information during a pandemic.
What it does
Take in the symptoms and suggest if the person can be positive or negative. A chat bot
is created to provide this service.
In case, person wishes to go for a test, suggest the nearby testing centers and the
services being offered.
Show Trend of the corona cases in the region.
Show the trends on each day with a option to zoom and pin the graph.
## How we built it
Using AWS lex to build the chatbot and python scraping to access dynamic data, angular JS to build the site
## Challenges we ran into
Integration of various services into a website like a chatbot.
Scraping various sites to get accurate data
## Accomplishments that we're proud of
Chatbot that could effectively suggest
Maximized the amount of data visualized within the given time constraints.
## What we learned
Various new technologies like google services
Team Work
## What's next for CORONA AWARENESS (BE AWARE BE SAFE)
Gathering services within a hospital and pharmacies near to the user.
Scraping e-sites to get further extensive data.
Gamifying Corona to spread Awareness ( A drive that suggests user for a helmet(mask), careful driving not encountering with others(Social Distancing))
Built With
amazon-web-services
angular.js
canvas
google-places
postman
python | CORONA AWARENESS (BE AWARE BE SAFE) | A common platform for accessing data that has been scattered over the Internet along with a chatbot for user's easy access. | ['bhanu preeti', 'sai sruthi'] | [] | ['amazon-web-services', 'angular.js', 'canvas', 'google-places', 'postman', 'python'] | 96 |
9,892 | https://devpost.com/software/green-grocers | Inspiration
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for Green Grocers
Built With
api
c++
css
html5 | Green Grocers | Helping families that have been experiencing financial struggles by providing the food they need | ['Jenica Batangan', 'Joseph Nicolas', 'Lizzet Arriesgado', 'Kobe Cofini'] | [] | ['api', 'c++', 'css', 'html5'] | 97 |
9,892 | https://devpost.com/software/anitrack-cizoup | Inspiration
What inspired me to create this was the lack of platforms that let me easily record what anime, manga or webtoon I read/watched.
What it does
It is an easy way to record your progress on an anime, manga or webtoon.
How I built it
I used python to create the back end and qt designer, with pyqt5, to create the gui for it. I mainly focused on getting the user to be able to clearly distinguish between the different entertainment.
Challenges I ran into
I wanted to use firebase to act as a cloud database for users to store the data in, instead of storing it locally. However, firebase mainly used java for apps and the libraries I tried had errors with installations.
Accomplishments that I'm proud of
I learned how to make better gui with qt designer.
What I learned
I learned how to make better gui with qt designer.
What's next for AniTrack
Built With
python
Try it out
github.com | AniTrack | A easy way to track the anime, manga or webtoon you are watching/reading during the lock down. | ['Marcus Tuen Muk'] | [] | ['python'] | 98 |
9,892 | https://devpost.com/software/safepay-ysjfi0 | Main view
Sign in page
View of payment methods
View of payment methods
Adding new payment method
Our Ninja Way
Almost everyone has their payment information stored in several servers (Amazon, eBay, etc.), leaving them vulnerable to hackers. Just last year, 4.9 million DoorDash users were affected by a data breach.
COVID-19 is making people more reliant on online payment systems, putting more users at risk. Online payment will continue to be relevant after COVID-19 as well.
This type of risk is avoidable, since there is no reason for payment information to be stored in multiple centralized servers - or in any centralized server at all.
We wanted to create a safe way to save payment information on a decentralized network to ensure convenient payment across all your devices.
What it DO
SafePay is a chrome extension that allows users to store payment info in a secure, decentralized network and use auto-fill whenever they make an online payment.
Users can log in through BlockStack to access their account from any device running Chrome. Once in, users can view their stored payment methods and also add new payment info through a form, which is then stored in the BlockStack's decentralized storage system.
SafePay also does authentication through Blockstack, meaning passwords are stored in the same safe way that your payment methods are.
Crafting Recipe
The Chrome extension was built with HTML, JavaScript and the Materialize framework. Our static content is hosted on Firebase. Payment information is stored using Blockstack's decentralized storage architecture. From the BlockStack website:
Transactional metadata is stored on the Blockstack blockchain and user application data is stored in Gaia storage. Storing data off of the blockchain ensures that Blockstack applications can provide users with high performance and high availability for data reads and writes without introducing central trust parties.
Gaia is a decentralized storage system where users are able to create "hubs" where information is stored at a location of the user's choosing. Users can even choose to run a Gaia node themselves.
inb4
In the future, we plan on adding integration with online banking services such as TD banking to directly add bank cards from your bank account. Furthermore, we intend on expanding our support to more platforms like mobile phones and different browsers.
Built With
blockstack
chrome
firebase
html5
javascript
materialize.css
Try it out
github.com | SafePay | Sync your payment information in a decentralized storage system. | ['Kailas Moon', 'Victor Chen', 'William Wang'] | [] | ['blockstack', 'chrome', 'firebase', 'html5', 'javascript', 'materialize.css'] | 99 |
9,892 | https://devpost.com/software/blockgoods | Customer user view of dashboard
Top Selling Products Feature
List of Buyers/Sellers Page
Landing page
Our Features
Testimonial
Built For You
FAQ Page
Mailing List Page
Maps Page View
Cashless QR Code Payment
Inspiration
BlockGoods
is an app designed to help redistribute essential goods to the people who need it most in the midst of the COVID-19 pandemic. We were inspired by the shortage of masks and other essential supplies for frontline workers during this time. An increase in demand of essential supplies like hand sanitizer, soap, face masks, medicine, and toilet paper have caused many of these items to be either heavily inflated in price or sold out in stores. Due to this increase of demand, many frontline workers and people at risk are unable to get access to the supplies that they so crucially need to stay safe and sustain themselves. Prices of masks and other essential goods have risen dramatically, with some firms selling respirator masks for as much as 6 times the price of what 3M, the manufacturer, sells them for. Business Insider states that mask producers are struggling to produce 20 times more surgical and N95 masks to keep up with the increased demand. According to CTV, a shortage of N95 masks has caused Sunnybrook Health Sciences Centre in Toronto to consider using snorkeling masks as an alternative. Moreover, countless doctors and healthcare workers are risking their lives due to the dangerous shortage of protective equipment, as Hamilton Health Sciences sent out a notice to workers to “keep masks on until grossly soiled”.
BlockGoods'
goal was to develop an easy, quick, and efficient to use platform to facilitate the distribution of these supplies directly to the people who need it most, with the inclusion of government incentives using blockchain technology. With the help and support from governments and businesses, our platform
BlockGoods
can save lots of lives during the current pandemic crisis, while easing the burdens on local institutions and hospitals.
What It Does
Through the use of
BlockGoods
, a government or any kind of state can create a new cryptocurrency in the form of a debt security which is used to support the state’s spendings and obligations. The currency will then be distributed reasonably amongst the people at the beginning of each month to regulate supply and demand, allowing everyone to have equal access to these essential materials. People can use these coins through the platform to buy essential goods from sellers in their community, whether it be from the producers themselves or retail stores. Once the pandemic is over, these coins can then be exchanged between sellers and the government for monetary value.
How We Built It
Using the Blockstack decentralized app service, a permanent storage system was created for transactions and listing information. This lifted the burden of having a large centralized server. With React, Material-UI, SCSS, and BootStrap, a UI was developed to display the information from the servers onto the user dashboards in a clean and efficient manner. A clean and crisp landing page showcasing
BlockGoods'
mission statement was also prototyped and built quickly thanks to Material-UI’s ease of use. On the backend, Redux was used in conjunction with Mongoose, Express.js and Node.js to save critical information such as usernames, passwords, transactions, and payments to our app. For user authentication, JWT, Firebase, and the BlockStack API were used to let users sign in and out of the app securely. To use our platform, each user has to individually obtain a Blockstack ID in order to login and benefit from all of
BlockGoods’
features. Finally, for cloud deployment we decided to use Google Cloud as it quickly enabled us to host our app up in no time at all (the $50 Google Cloud credits also came in very handy).
Who It Is For
Our app can be easily integrated in places all around the world to flatten the curve and put an end to this concerning pandemic. Whether it’s average consumers or local businesses and even large companies/organizations, our app is there to provide a more socially-distant experience when purchasing essentials like medicine, toiletries, hygienic products, and so on. During these uncertain times, our application provides an easy to use platform for governments working alongside with its people to combat COVID-19.
BlockGoods’
users can rest assured that they can distribute and/or obtain high-demand goods at very affordable prices -- all from the comfort of their homes and without having to sacrifice their own personal well-being. We encourage all governments to consider implementing this and using our app in order to achieve a global effect!
Challenges We Ran Into
The lack of documentation when attempting to use Blockstack in React meant that our members had to spend some time learning how to best use Blockstack in this project. Prior to this hackathon, only one member of our team had previous experience working with Blockstack.
Not communicating face to face with each other meant that we had to rely on Discord channels and Direct Messaging to maintain critical communications during the whole duration of this hackathon.
Accomplishments That We're Proud Of
We are proud of the amount of work we put into this project. Despite it being a daunting task, we were able to finish the programming, video editing, other tasks on time. We were able to work efficiently due to the combined efforts of everyone despite not being physically present together.
What We Learned
We were able to grasp a better understanding of React Js while working on this project. This project was indeed challenging, however, this forced us to learn the BlockStack API in more depth. Finally, we learned that regardless of the hurdles, we are able to accomplish anything if we put our minds to it.
What's Next For BlockGoods
BlockGoods
can be continued to be deployed in communities all across the world. We can continue to add support for different languages and work with local governments and companies/large organizations to introduce
BlockGoods
to these different communities. Due to the nature of our app, we can easily scale our platform to allow transactions of goods beyond just the essentials. Due to the unprecedented and uncertain time that we are living in, we are only focusing on goods that have proved to be critical during quarantine and lockdown.
BlockGoods
aims to not only be of great use during the pandemic but also after it is over by relying on the decentralized applications of blockchain to gain the support of users all around the world. As such, post COVID-19,
BlockGoods
can be continued to be used as a trading platform for people willing to donate their unwanted materials for the greater good of humanity.
Built With
blockstack
express.js
google-cloud
jwt
material
mongodb
node.js
react
redux
scss
Try it out
blockgoods.tech
github.com
tohacks2020-276018.ue.r.appspot.com | BlockGoods | Using Blockstack API, we have created a platform for local communities to distribute COVID-19 essentials like masks to people in need. | ['Ben Lin', 'Mark Chen', 'Krishdev Sutar', 'Eric Liu'] | [] | ['blockstack', 'express.js', 'google-cloud', 'jwt', 'material', 'mongodb', 'node.js', 'react', 'redux', 'scss'] | 100 |
9,892 | https://devpost.com/software/tenjin-10u5ms | Our logo, inspired in part by a swan, and in part by the infinity symbol
Visitors to our website can take a quick 10 question quiz, to help determine where their threshold should be
After the quiz, our website directs the visitor to a results page, showing the amount of questions they got correct
When clicked, the definition of the word is shown. In the future, we plan to add Translate and Audio function here.
The tenjin extension in action on wikipedia.org, where we set it to search for the words "the" and "is"
The view of the extension once you open a stack (eg. calculus, green, blue)
Another example of the highlighting and definitions
Inspiration
As a team of students, we all have been faced with the daunting essay. When faced with an essay, the impulse of many students is to sound as smart as possible, and many will turn to Thesaurus.com to find complex words to replace, "hard". Our team thought, instead of turning to a last minute solution, why not build something to help students get better every step of the way! We wanted to build an application which helps students build their vocabulary every time they visit a website.
What it does
We made a chrome extension that scans through a web page and highlights difficult words. The words that are selected reflect a user's literacy level, which is determined through a diagnostic that can be taken on our website, where they are asked to choose the synonym of a word given four choices. While a user reads a web page, they can click on the highlighted words to view the definition and synonyms, and are given the option of bookmarking it to a "stack" which can be recalled by clicking on the tenjin Chrome extension icon. At any point a user can retake the vocab quiz on our website to level up to the next difficulty level. Overall, the extension has many smaller functionalities to make it a little easier for student to learn and retain the vocabulary.
How I built it
The Chrome extension was built with JavaScript (and the jQuery library), HTML, CSS, and used the Webster's Dictionary Thesaurus and Dictionary API's to provide the definitions and synonyms. The website was built with HTML, CSS, and JavaScript.
Challenges I ran into
Originally, we wanted to use external API's to rank the difficulty of the words, and spent about half of our time trying to implement it. Alas, we were unable to use the API's functionality simply because none of us own credit cards. We also ran into many problems with the Dictionary and Thesaurus APIs, because the formatting of the data was inconsistent, and the docs proved to be of little help. Despite these challenges, we persevered and finished as much as we could!
Accomplishments that I'm proud of
We as a team are very proud of how much we learned from this experience. Through this project, we got more hands on experience with web development, database construction, and cloud services. We also were able to work with local API's which was new to all of us.
What I learned
Through this experience, our team learned more about web development and how to work with backed databases. We also got the opportunity to explore Google's Cloud Platform, where we have each bookmarked different functions we plan to explore at later dates.
What's next for Tenjin
We hope to increase the amount of functions available and its accessibility by adding an audio function and a translation function, for those who are visually impaired or learning English as a second language, respectively.
Built With
css
html5
javascript
jquery
webster's-dictionary-api
webster's-thesaurus-api
Try it out
github.com | tenjin | A visual education tool to help enhance vocabulary. Great for beginners looking to build a stronger vocabulary to fluent speakers looking to enhance their writing. | ['Aava Sapkota', 'Justin Lu', 'Justin Zhu', 'Celeste L'] | [] | ['css', 'html5', 'javascript', 'jquery', "webster's-dictionary-api", "webster's-thesaurus-api"] | 101 |
9,892 | https://devpost.com/software/tohacks | TOHacks 2020 - Covid Lounge
Plans for now: Using node.js to build a browser chatbox app, for people to hang
Our platform creates a virtual world for people's digital figures to interact with each other. They are able to walk around, and after pressing "Enter", then type in what they want to say, and press "Enter" again, there will be a chat box floating on their head, which lasts a couple of seconds.
We use Hamachi to host the server.
For now we are only able to do it 2D, and nothing about setting user preferences. In the future we can look more into it, and hopefully launch an app
GitHub link contains the source codes
Built With
brackets
css
git
github
hamachi
html
javascript
node.js
server
socket.io
vscode
Try it out
github.com | Covid Lounge | A virtual lounge for people to still connect even Covid is out there | ['Tyler Starr', 'Wendy Zhang', 'Eddie Pei'] | [] | ['brackets', 'css', 'git', 'github', 'hamachi', 'html', 'javascript', 'node.js', 'server', 'socket.io', 'vscode'] | 102 |
9,892 | https://devpost.com/software/dapp-finance | Login Screen
Main Screen
Logout Screen
Inspiration
The financial challenges posed by the Coronavirus have allowed to realize the struggle that small business owners face in times of economic uncertainties. This app will help mitigate the struggles and we hope to simplify management of inventory in future times of economic uncertainties.
What it does
This solution will allow small business owners to create individualized balance sheets and metrics for their business. This will allow them to analyze their current metrics and mitigate financial losses. In addition, it will make bookkeeping more simple.
How we built it
We built this project using Blockstack app development platform and Firebase to store the Javascript stack. The Instagram filter was built using Spark AR. The sixfeetapart.tech name is our registered domain on domain.com. Our Block Stack DApp Finance app was built on infrastructureof google firebase to host the online repo for the app and github. When you run node in command to install our software there is a web hook to our firebase repository which can be accessed /cors on the git repo
Challenges we ran into
None of us knew how to use Blockstack and did not know how to integrate our ideas into their platform.
Accomplishments that we're proud of
We are proud of being able to create a Blockstack project and creating a simple solution for small businesses to use without cost added to their strained budget.
What we learned
How to use the Blockstack platform for future projects and using its strengths to benefit our solutions
What's next for DApp Finance
DApp plans to add more metrics and analysis solutions to become a reliable, free-of-charge tool for small businesses to utilize with business operations.
Try it out
instagram.com
www.sixfeetapart.tech
github.com | DApp Finance | Due to the COVID-19 crisis, small businesses faced financial losses that affected their normal way of business. Our project addresses this by providing simple management assistance and solutions. | ['Daegan Appel', 'David Park', 'Aditya Singhal', 'Laith Qushair'] | [] | [] | 103 |
9,892 | https://devpost.com/software/pitchin-dh1vu0 | in progress
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 PitchIn | PitchIn | Blockstack crowdfunding application for low cost items to help those who're losing income due to Covid-19. | [] | [] | [] | 104 |
9,892 | https://devpost.com/software/monitor-1hd2k3 | The Login Page
The Page for Doctors
A Sample Blood Report
The Patient Self-Assessment
Inspiration
Our team came from a slightly different background. Like most teams, many of our members want to pursue STEM, but some are looking into different careers in the health field. Because of this, we wanted to incorporate these elements together.
We feel like using technology to streamline medicine and healthcare is important. Given this opportunity, we should try our best to improve the medical community as it is quite literally lifesaving. As IB students, we know the importance of efficiency. We’re sure that you know the importance of this in your daily, academic, and work lives- it’s a universal requirement in order to accomplish all that we do. Medicine is a particular field filled with inefficacy; hospital wait times are way too long, the amount of healthcare workers is too low, and many more issues. Our website can help streamline it that much better.
What it does
Our website helps doctors be organized on an online platform. We all are aware of the rows of patient files at our family doctor- this app merges important capabilities together with patients' online records. Our app isn’t just limited to healthcare professionals. With dual login capabilities, we allow patients to check-in and use different components of the app as well. This includes a Covid-19 self-assessment that will redirect you as required to additional services.
For the healthcare worker component of the app, we provide the user with the ability to access a patient's profile. From there, they can look at their appointments via a google calendar, access important files, as well as see a summary of the user (i.e. their blood type) at a quick glance.
For patients, we currently have a self-assessment tool and access to important resources.
How we built it
We coded it using HTML with the IDE Microsoft Visual Studio Code. Due to the nature of the IDE, we could not work collaboratively as one could with Atom’s teletype for example. In order to progress, we each wrote small parts of code, and then helped one another troubleshoot and test. Once we had all our separate components, we stringed them together in order to get our final products.
Challenges we ran into
At first, we had a little trouble deciding who would code which page for the website. Also, initially, it was difficult to combine all of the separate web pages together. Furthermore, we had to learn some new HTML syntax in order to get the text and images looking the way we wanted on the website.
We used some unconventional methods to solve certain issues. At first, we attempted repeatedly to fix problems with code. We then realized there were a lot of “life hacks” we could do to make it a lot simpler. Instead of changing the logo size in code itself, we simply enlarged the image itself, which was a lot more efficient.
Accomplishments that we're proud of
Some accomplishments we are all proud of is how strong the real-life applications are. It’s a practical app- everyone is involved in health in some way or another, and the field isn’t one that is 100% polished as of now.
We were also able to learn to use the IDE Microsoft Visual Studio Code, which was new to most of the group, fairly quickly, and were able to use the IDE to our advantage.
More so, we all genuinely enjoyed making it! At first, it was really stressful. But as the hackathon progressed, we found it more approachable and enjoyable.
What we learned
We learned that programming languages have a variety of uses, and that particular IDE extensions are very useful when doing specific tasks. Our team didn’t have an extremely thorough knowledge of many languages. The main language we used, HTML, was new for some of our team members. This gave us a chance to learn a lot about the technical aspects of developing programs.
Another major thing we learned is problem-solving! While we are all close, it was the first time the four of us worked on a project together. It was also our first hackathon for most of our team members. At first, it seemed daunting, but soon our ideas became reality, and it was much easier than anticipated to move forward.
Lastly, we learned how to work in short time scenarios. As we are all high school students, most of our projects were a lot more long term or expected a lot less if not.
What's next for Monitor ++
We would love to integrate more geocoding aspects into the app, and perhaps introduce a patient-doctor contact system. We truly believe in the capabilities of our product and hope to be able to expand it in the future.
Domain.Com : monitorthe.space
Built With
domain.com
firebase
html
java
javascript
Try it out
github.com | Monitor ++ | Online medical repository to help streamline healthcare. | ['Sailaxmi Sahoo', 'Shivam Jindal', 'Mithran Roy', 'Prachee Nanda'] | [] | ['domain.com', 'firebase', 'html', 'java', 'javascript'] | 105 |
9,892 | https://devpost.com/software/divoc-ihvdzu | Inspiration
We were inspired by the Facebook moms around us. spreading counter measures against COVID-19, some of which were outright preposterous, and were made because of their fear of catching COVID-19. So, we wanted to make an app that could assess how many people in your area really have COVID-19, and if those panic measures were even necessary. We then also decided to add a short quiz, to help people who were uncertain about their symptoms, to quickly assess whether they had COVID-19 or not.
How we built it
We first brainstormed our idea, and then further divvied up the tasks to each person. Two of us worked on the tracker itself, one of us got started with the backend, and the last one started to learn JavaScript, HTML and CSS to make the quiz. To make the tracker, we had to pull data from the Ontario Government, with the records of everyone who has COVID-19, and their latitude and longitude. We then stored that data in our database, and asked our user for their address. We further had to convert their address to latitude and longitude, where we could further compare their position to our database, to accurately assess how many people in a given radius had COVID-19.
What it does
DIVOC takes data from OpenStreetMap and generates a list of the coordinates of confirmed Covid cases in Ontario. Users can then input their address to check the number of Covid cases near them. DIVOC also has a built in COVID-19 test for user convenience so that anyone can quickly check whether they have Covid-19 or not.
Challenges we ran into
None of us knew anything about applicable programming, as we only had dipped our toes into competitive programming. Transferring our skills from competitive programming to the more applicable side of programming was a difficult switch, and we also had to learn new languages in a short amount of time, so we could have the basics for a website and application.
Accomplishments that we're proud of
This was the first hackathon for all of us, and none of us has ever done anything outside of competitive programming. In these 24 hours, we all developed new skills, learning new languages, learned how to run a backend, and how to make a frontend by ourselves.
What we learned
After these 24 hours, we all walked away with some new knowledge. We all learned how new programming languages that we never indulged in before, as well as how to collaboratively work together to make a big project.
What's next for DIVOC
We plan on expanding and improving the UI for the future, as well as provide a more accurate testing for the COVID-19 Quiz, and perhaps mark down and highlight who exactly has COVID-19 in your area.
Built With
amazon-ec2
bootstrap
css3
html5
java
javascript
openstreetmap
Try it out
54.172.214.247
github.com | DIVOC | Tracking the density of confirmed Covid-19 cases near your area so you can turn COVID on its head | ['Anthony Chen', 'Aaron Tang', 'Hubert Qin', 'William Lin'] | [] | ['amazon-ec2', 'bootstrap', 'css3', 'html5', 'java', 'javascript', 'openstreetmap'] | 106 |
9,892 | https://devpost.com/software/isitsafe-io | Logo
website
Inspiration
Currently, the whole world is under lockdown, but after these restrictions are lifted how safe will it be to go to crowded places?
What it does
This app uses the Google Places API to get the popular times data from Google and show the user the types of stores around them and how busy they are at a particular time of the day.
How we built it
We used:
Python Flask
- Used to create the backend of webpage.
Google App Engine
- Used to host the webpage.
Google Places API
- Used to gather location data.
Domain.com
- Used to get domain name for webpage.
Challenges we ran into
The most difficult part of the project was handling the hosting to google cloud app engine platform. We had trouble understanding how the integration works as we are completely new to it. We deployed the app 30+ times before it finally was hosted on the domain we wanted without giving server error. Another challenge we ran into was the directory structure, we experienced many bugs when we tried to move files around to organize the project better.
Accomplishments that we're proud of
We are especially proud of the webpage hosted by Google App Engine. It is a website that can be accessed by anyone. We are also very proud of the CSS part of the webpage, the table displayed on the website looks much better than we planned it to look.
What we learned
We learned touse a lot of the programs for the very first time (Google Cloud, Google API, Python Flask). We became more proficient with Github and we learned to use CSS with HTML.
What's next for IsItSafe
We have some features we weren't able to add with the time constraint (such as getting user location and adding search radius) that we want to implement for the future. We also want to make the table more interactive and user friendly.
Built With
flask
google-geocoding
google-maps
google-places
populartimes
python
Try it out
www.isitsafe.online
github.com | IsItSafe | For people who still want to social distance after the restrictions are lifted. | ['Rutav Shah', 'Chirag Rana'] | [] | ['flask', 'google-geocoding', 'google-maps', 'google-places', 'populartimes', 'python'] | 107 |
9,892 | https://devpost.com/software/anti-covid-covid-club | Inspiration
We were motivated by the efforts of our medical staff in the face of the COVID-19.
What it does
ACCC is a quick way to show your appreciation for frontline workers in your area. Take a moment to support the RNs and other medical professionals getting us through these times. #StayHome
How I built it
ACCC was built with a React front end with Google Cloud API integration, as well as a Node.js and Express back-end with MongoDB.
What's next for ACCC
Even if we are never hit by a similar situation again, it's important to remember those who pulled through during this pandemic.
Built With
express.js
firebase
google-maps
mongodb
node.js
react | Anti COVID COVID Club | A messaging service dedicated to the appreciation of medical staff. | ['Tony Zhao', 'Armanya Dalmia', 'Yash Arora', 'Oustan Ding'] | [] | ['express.js', 'firebase', 'google-maps', 'mongodb', 'node.js', 'react'] | 108 |
9,892 | https://devpost.com/software/coronatime | Inspiration
We noticed that although we have an abundance of free time during this pandemic, it is very difficult to use it productively so we thought about making an extension that mimics the Pomodoro technique for studying.
What it does
This extension allows a user to select a combination of study to break times and the extension runs a timer in the background that illustrates when one should be studying and when they should take a break.
How we built it
We built this using JS, HTML, and CSS.
Challenges we ran into
Learn how chrome's storage works to allow us to communicate between different files.
Accomplishments that we're proud of
This project required a lot of research into the syntax and specificities of a chrome extension.
What we learned
We learned about listening to events in JS, and storing data in chrome.
What's next for CoronaTime
Further developing of UI and debugging, and integrating user input to allow them to choose their own combinations.
Built With
chrome-apis
css
html5
javascript
Try it out
github.com | CoronaTime | A Chome Extension that motivates you to stay productive during quarantine | ['jasminekbal Bal', 'Linna Luo'] | [] | ['chrome-apis', 'css', 'html5', 'javascript'] | 109 |
9,892 | https://devpost.com/software/crowd-scout | Crowd Scout Logo
Inspiration
Most states in the U.S. have issued some form of stay-at-home order as a means of preventing the spread of the novel coronavirus. Some states are starting to relax those orders and allow some types of businesses to reopen under certain conditions. Texas and Florida, for example, will allow retail stores, restaurants, movie theaters, museums, and libraries to reopen as long as they limit the number of people inside to 25% of their maximum capacity.
While this offers benefits to businesses and customers alike, it also creates new costs and risks. Businesses must now pull employees away from their regular duties to watch the doors and keep a careful count of how many customers have entered, and how many have left. Customers now run the risk of arriving at a store only to find that they need to wait in line before they can enter. Without proper social distancing, these lines create the exact risk of exposure to the coronavirus that all of the stay-at-home orders were designed to avoid in the first place.
Crowd Scout is essential to allowing customers to enjoy the social benefits of resuming normal daily activities, like shopping and entertainment, while still minimizing their risk of contracting COVID-19.
What it does
Crowd Scout can help our society and economy reopen safely by using technology to enhance the effectiveness of social distancing and reduce the risk of transmission of the coronavirus. It lets people be social again in a safe way by reducing the likelihood of overcrowding in public places (restaurants, bars, movie theaters, stores, etc.).
In particular, Crowd Scout is a mobile app designed to keep track of how many people are inside a specific area like a store, and shares that information with employees and customers alike.
During the current COVID-19 pandemic this will allow customers to see each store’s maximum customer capacity, and how close a store (restaurant, theater, etc.) is to reaching that capacity. This will save customers both time and possible coronavirus exposure by allowing them to find a store with the least number of other customers.
After the COVID-19 pandemic eventually ends, customers can still use the app as a time-saver to find which businesses have the fewest customers, especially during traditionally high-volume periods such as: holiday gift shopping; holiday grocery shopping; Friday and Saturday night theaters, restaurants, and bars; Sunday brunches, etc.
How I built it
Crowd Scout is a mobile app built using Flutter and Firebase. Flutter is the perfect tool for Crowd Scout because it allows for cross-compatibility between platforms and devices, which is essential for a tool designed to help everyone during a pandemic. It also promises better inter-connectivity with Google’s Cloud services, which is helpful, since our app is highly integrated with Google Maps, Firebase, and Google’s Cloud AutoML.
We used Firebase for our app’s database to store the numbers of people at each location, along with the information regarding max capacities. We used Google Maps for everything regarding the user’s location, along with autocompleting search to help users find the data they need, as well as the Google Places API to help track the user’s current location. We hope that implementing as many features of the Maps API as we could will help users feel comfortable within the app, and will allow them to fluidly and naturally access the data. Things like being able to select points of interest from the map allow users to navigate the data like they might in the real world, and increases the “fold” of the application to whatever a user can see on the map. We think that this will help people use the app to get data on locations they might not have thought about, like a local park, or coffee shop.
We also worked with the Google Cloud AutoML platform to try and create a model to better determine if the user was in a building or not. While we got the model trained, unfortunately it's accuracy was too low to use due to both the low quantity of training data, and the similarity between the user's position circle, and the blue point of interest markers already on the buildings.
Challenges I ran into
One challenge we ran into was in using the Google Cloud AutoML platform to check if a user is inside of a building. We were attempting to detect on the map screen if a user’s location was inside of a building on the map by looking at the user’s position in the satellite view. While we had limited success on a small scale, we didn’t have enough training data to make sure the algorithm was accurate for non-standard locations, like a park. We also had difficulty with detecting points of interest markers as a user. In the future, we’d like to revisit this to increase processing speed, and decrease overhead, while increasing accuracy.
It was also complicated get the place closest to the user's current position. There are APIs already built for this in the Android and iOS SDKs, but because we were using Flutter, we were not able to access those SDKs. In fact, we only had access to the HTTPS API, so we had to entirely write our own search and analysis algorithms in Firebase Functions to replicate this and ensure high quality data without slowing the app down for the user. The biggest challenges that came into play here were A) selecting the correct building to update, and B) not updating buildings that the user is not actually inside of.
With respect to part A, the original plan was to just use geocoding to get the address from the coordinate points. And this worked to a degree, we were able to turn every latitude and longitude point into an address. The catch was that when we then ran a text query to get the place associated with the address, we found that a lot of buildings physically sit on multiple addresses when the original point is geocoded, but the place information was only associated with a single address. This is the equivalent of tracking the number of customers in the garden section and the grocery section of the same store separately, which was problematic because capacity for all the sections of the same store are controlled at the entrance, so all that user data needs to be combined.
We solved this by using the Nearby Places search from the Google Places API, instead of a text search. This meant that we could directly feed in the user's coordinates to the API and get a place with real data out of it. This, however, lead to problem B: namely, at what radius should I set my tolerance to find the place associated with a geopoint. If we set it too small, we had issues of getting the business as the ATM or the pharmacy inside the store instead of the store itself, because the store's geopoint was too far away. If we set it too large however, other nearby buildings accidentally got sucked into the same batch of coordinates, so multiple stores in a strip mall may have been associated with the anchor store of the mall. Through trial and error, we think we found a radius that works for a lot of cases, but this is where the more detailed AutoML image analysis to determine what building the user is actually in comes into play, so we can control the radius dynamically per building in the future.
Accomplishments that I'm proud of
We are very proud that we were able to build this app since it was the first time we used Flutter to build a mobile app.
In fact, we were able to implement all of the minimum viable product features that we wanted to make over the course of the hackathon, and integrates successfully between Google Maps, the Google Places API, and Google’s autocompleting search, Firebase, and Flutter. We really feel that the UI allows users feel comfortable within the app, and allow them to fluidly and naturally access the data.
What I learned
This was the first time using Flutter for both of us, so everything with respect to the Flutter Design itself was brand new. In fact, this was our first time doing any mobile app development, so while some of the Material design concepts were similar from working with React, things like navigation and page routes were entirely new.
This was also our first time using any of the Google Maps APIs in a project. Therefore, both interpreting what we needed and how to securely connect to that was also brand new. One important thing that we learned was that unlike most credentials, the API keys are acceptable to expose, you just need to restrict the access so they only work from within.
What's next for Crowd Scout
In the future, we plan to add the ability for businesses to sign onto the app directly and include their own numbers for maximum capacity.
We also plan to increase the accuracy of Crowd Scout by adding the ability to include people who are not using the Crowd Scout app in the population of a particular area by using Bluetooth signals.
Also, as mentioned in the how we built it section, if we have more time and resources, we'd like to retrain our AutoML model on a larger (and cleaner) data set so that we can use that to analyze if the user is in or out of a building to minimize the server updates that need to occur to update crowd numbers, and increase the accuracy of our count.
Finally, constantly updating the user's location is as the user is moving is also an issue that we started working on. Currently, it is built so the function call to identify where the user is occurs each frame the user moves. This was not a problem for our tabletop tests, as the emulator only moved location when we told it to, and even then the travel duration was negligible. However, we started thinking about how this would apply in the real world. Moving around inside of your own house or inside of the same store should not result in an update location database call. Likewise, moving too quickly in a single frame (i.e. you're in a car and thus we don't care what places you are near as you are not in any of them) should not result in updating the places database either. Therefore, to better improve computational efficiency, we would likely want to add parameters on the client side inside of the location update listener to only make the database places update call within a "donut" surrounding the user's last recorded point, to reduce processing of the aforementioned cases.
Domain.com
Our domain is CrowdScout.online.
Try It Yourself!
Everything is fully featured. Feel free to download the repository and try it out. You can run it through VS Code on either Windows or Mac (hypothetically, we didn't have a Mac to test ourselves). Just make sure you have Flutter installed on the machine, and the repo should do the rest.
Try it out
github.com | Crowd Scout | Avoid the crowd, scout it out | ['Nathan Dimmer', 'Andrew Dimmer'] | [] | [] | 110 |
9,892 | https://devpost.com/software/givehero-n2ukxv | Inspiration
We were inspired by Australian philosopher Peter Singer and his book on "The Life You Can Save" and his Effective Altruism movement. We wanted to maximize the impact of charity through a charity app. We wanted giving to become a habit by making the process intuitive and rewarding, and making sure that the impact was substantial and verifiable by doing the research on trusted organizations.
What it does
Our app lets users choose four global charitable causes they connect with most, narrowing their reach down to four organizations focusing on each cause. The user is able to see that their contributions will be spread equally among the four organizations, and they are able to see which organizations they are. The payment process is quick and easy, ensuring the user is motivated to repeat the process. The seamlessness of the process and friendly interface allows the user to focus on the emotionally impactful and rewarding experience of choosing something they care about and contributing to make a positive change.
How we built it
Mock-up was design in Figma with a selective color and illustration selection process. Front-end is created in Android Studio using Flutter and Dart which allows both Android and iOs access. Backend is graciously handled by Firebase.
Challenges we ran into
Lack of sleep and time constraints were our biggest challenges. For one of us, it's the first hackathon ever. Lastly, ensuring that the design is pixel-perfect took a lot of iterations.
Accomplishments that we're proud of
We are proud of the smooth and professional donation process with a fully functional backend.
What we learned
We learnt a ton of new things like effective mock-ups and Flutter.
What's next for GiveHero
Next on the list is better demonstration of donations impacts, more research and auto-payment.
Built With
flutter
google-cloud
Try it out
github.com | GiveHero | An effective and data-driven solution to donation to charity | ['Grace Nguyen', 'Illya Terekhov'] | [] | ['flutter', 'google-cloud'] | 111 |
9,892 | https://devpost.com/software/yellowpap | Inspiration
During the course of the COVID-19 pandemic, we heard about a lot of restaurants opting out of food delivery services because of the following reasons:
The applications charge too much to restaurants so restaurants have minimum earnings whatever they are selling.
Too many drivers come and go to the food places which can create more contamination.
3.One of the major delivery services pulled out of the country with $4.7 million in debt and their delivery people just unionized their jobs.
The gig applications is a kind of cut real social interaction between restaurants and drivers so it can bring the "driver" title back to job market instead of a generic "gig job" title.
So we decided to conceive the idea of an app that could provide safety in the food delivery job market for drivers, as well as peace of mind for customers ordering from the service, that their food is 100% clean.
What it does
[Version 1] Drivers can list their profiles and availability on the application.
[Version 1] Restaurants can pull that driver information from the application and call the driver to work with them.
restaurants.
How we built it
We developed the first prototype of the application using Android Studio utilizing the Java programming language. We implemented various built-in libraries of the language, including the file IO library and regex used for username and password validation.
Challenges we ran into
Caglar: Creating CRUD operation with MongoDB unrelated with Android Studio.
Jerry: The login algorithm was originally supposed to store the information of a driver in an array ie a string array containing the username, password, email, phone number, address, etc. And a 2-dimensional array would be used to store those arrays as a list of accounts. However, I ran into some errors such as variables not being initialized at the right time, NullPointerExceptions, etc. As a result of being extremely sleep deprived over the course of the day (I was up until 4 am), the page that is shown after the login screen is a dummy profile page showing a sample profile. Also, one member on the team couldn't get Android Studio to run the project code, so the development process was slowed down dramatically, giving less time to implement more ideas.
Accomplishments that I'm proud of
Caglar: We tried developing a website for the project too; understanding MongoDB and NodeJS and how middlewares work on NodeJS
Jerry: The account creation page; I was able to recreate a typical signup process using industry-standard validation techniques to check the validity of emails, passwords, and usernames given by a specific user.
What I learned
Developing a project in a team requires a more diverse skill set than the one our team had. All four of our members had a background in computer science and engineering, and we could have used some skills in digital marketing and graphic design fields for better marketing. Because we lacked this, the video demonstration of the app is quite boring, and there aren't many exciting elements to the app; it's a pretty boring user interface (modern, but boring).
What's next for YellowPAP
[Version 2] A working login page is implemented complete with cloud-based account information storage (google cloud services), as well as a working activity to find nearby restaurants needing deliveries to be made (utilizing the google maps API + a shortest distance algorithm implementation). A more lively and attractive user interface could also be implemented as a consequence of this prototype.
[Version 2] The program only assigns selected 5 restaurants to the driver from their area so the drivers will have an actual connection with the restaurant. The reason being is so that in case the driver or restaurant staff are infected by a virus of some sort, there are two cases: If the driver is tested positive by some means, the restaurants the driver is affiliated with will be notified to not allow that driver to make further deliveries until they recover. If restaurant staff at a particular affiliated restaurant tests positive, the driver will be immediately notified via the app, and will be given protocols for the necessary precautions such as the need for PPE.
[Version 2] Add a feature for customer registration and login.
[Version 2] The only consideration of the user becoming a driver and endorse the restaurants is that they work more according to how many more deliveries need to be done.
[Version 2] Drivers can invite other drivers to assist them if they are overwhelmed with the order numbers.
[Version 3] The drivers can earn an extra percentage of their pay based on how much the drivers invited to assist them make on their own deliveries.
[Version 3] The drivers will have an actual business running for them (YelloPAP) so that they can build and collaborate with the restaurants and sell their business to other drivers if they don't want to continue their driver business.
Built With
android
java
Try it out
github.com | YellowPAP | A food delivery app that will provide a safer and more sterile approach to food delivery, especially during a viral pandemic like this. | ['Jerry Wu', 'Caglar Araz', 'EricLiu-WraithCooler', 'Victor Awogbemi'] | [] | ['android', 'java'] | 112 |
9,892 | https://devpost.com/software/coronavrus | Inspiration
With everything going around in the world, caused by COVID-19. We all need to be taking extra safety precautions, especially when touching surfaces in which COVID-19 can live on. From living this way, we wanted to educate others through augmented reality informational cartoon viruses that explain a bit about the potential life of COVID-19 on that surface. Not only are people learning about where these potential threats are commonly found, but in the process, they are having fun playing our game! This is also a great encouragement for people to get up out of our seats and move around.
What it does
The goal of our app was to recognize the surface and display the correct virus and message. Although we don't have a complete app to show both components. We were able to create both parts, recognizing the surface and 3D cartoon viruses alongside messages. For example, we have viruses that live on cardboard, glass, wood, and metal surfaces, along with how long the virus lives on each type of surface. Our app is able to display each of the viruses and their message, even though it lacks the interaction with the user's surroundings, we were happy that it was able to be educational :)
How we built it
To create this project, we originally thought we were going to use AutoML Vision but with everyone having no experience, it proved to be a challenge. In the end, we decided to use Microsoft Azure to create the computer vision model. For the augmented reality, our team used a variety of CAD software, such a Solidworks and TinkerCAD. We ultimately uploaded them to echoAR.
Challenges we ran into
As most of the software was new, learning virtually was harder than we had thought. We all got stuck, trying to figure out how to overcome our obstacles. Not being able to sit right next to one another where you can talk to your teammates is not like before making this an amazing learning experience.
Accomplishments that we are proud of
After meeting only after the hackathon had started, we are proud of what we built and the idea behind it. With everything going around, every kid, adult and grandparent could definitely use a friendly reminder on what to disinfect and how long a certain surface takes to kill COVID-19.
What we learned
We learned a lot, especially since we had next to no experience beforehand. Over the course of this hackathon, we learnt how to set up a Google Cloud API and the basics of how to make an AR app.
What's next for coronaVRus
Like everything in the world, nothing is perfect. We had hoped to create a fully functioning app that fulfilled our project, however, we fell just short of that. But the learning experience was completely worth it, we hope to fix the last couple bugs in our app and get it live for other people to enjoy :)
Built With
android-studio
azure
echoar
solidworks
tinkercad
xcode | coronaVRus | An educational augmented reality app to show you how long COVID-19 can live on different surfaces | ['Lauren Yoshida', 'Hargun Bhalla', 'Christy Lee', 'Amanda Yu'] | [] | ['android-studio', 'azure', 'echoar', 'solidworks', 'tinkercad', 'xcode'] | 113 |
9,892 | https://devpost.com/software/testtemp | Inspiration
Temp
What it does
Temp
How I built it
Temp
Challenges I ran into
Temp
Accomplishments that I'm proud of
Temp
What I learned
Temp
What's next for Calend.tech
Temp
Built With
api
flask
python | Calend.tech | A personalized education platform that can teach you content fit for your schedule. It can teach you content personalized to you and based on your schedule. | ['Vedaant Varshney'] | [] | ['api', 'flask', 'python'] | 114 |
9,892 | https://devpost.com/software/voice-converter | Web App Logo
Some HTML from our project
Inspiration
Many schools and universities are currently transitioning towards online classes and online learning, but students may not have the resources to watch easily watch all lectures in a day.
What it does
V2T allows for professors or students to record an audio file and submit it into our program. The website then is able to translate and produce a script of the speech directly onto the webpage.
How we built it
The frontend uses an HTML/CSS design with JavaScript to allow the audio file to be transferred to the Python program. We used a python audio library to translate the audio to text and outputted the data to Firebase for storage as a JSON file. Javascript will then read the JSON file and parse the text onto the screen.
Challenges we ran into
Our biggest issue was being able to connect all the different programs together. We had difficulty using JavaScript to send the files to Python as well as using Python to send the files to Firebase. In the end, we were able to follow some tutorials and have it built nicely.
Accomplishments that we're proud of
We are proud of the learning we have done this weekend. It was our first time working with Firebase and the python audio libraries.
What we learned
After this experience, we have learned how to use Python and integrate frontend with backend to create a fully developed web application.
What's next for V2T
We hope in the future, we can add a video component to V2T to allow for even more accessibility for students and teachers. We also hope to be able to output as a PDF document instead of creating a new webpage with the text.
Built With
css
firebase
html
javascript
python
Try it out
github.com | V2T | Making both teaching and learning easier during the ongoing pandemic. | ['Zoey Zhang', 'Rebecca Ma', 'Manchind Arora'] | [] | ['css', 'firebase', 'html', 'javascript', 'python'] | 115 |
9,892 | https://devpost.com/software/interview-simulator | As students at a co-op university, we are constantly stressing about finding a job. There are many great resources out there explaining interview tips and tricks, but rarely do we actually get a chance to practice a full run-through and get the experience of practicing for an interview in real-time with real questions.
Our app uses speech-to-text features to allow users to practice answering random interview questions from a question bank and lets them record their responses and replay it while displaying what a good answer should be.
We built the simulation through Android Studio using Java and XML.
The biggest challenge we faced was our attempt to have our app playback a video response of the user for them to observe their body language in addition to hearing their answers to our questions. However, this was too difficult to accomplish in the time that we had and we scaled back by having our simulator replay the audio recording of the user's answer.
We are very happy to have been able to produce what we have and figure out how to incorporate speech-to-text features to meet our goal of interactiveness with the app.
Our largest takeaway from this challenge was the process to create a running app and working efficiently as a team.
The next steps we would take would be to figure out how to produce a video recording of the user's response which would further enhance the interactiveness and reality features of our app.
Built With
android-studio
java
xml
Try it out
github.com | Interview Simulator | An interactive app designed to help you improve your interview skills. | ['Mingmei Huang', 'Xavier Loffree', 'D L', 'Celinda Ma'] | [] | ['android-studio', 'java', 'xml'] | 116 |
9,892 | https://devpost.com/software/mystory | Landing Page
Inspiration
In the pursuit of life, we face the impending pyramid of Maslow’s Hierarchy of needs. At the top of the pedestal is what we call Self-actualization. The question of what is self-actualization has been asked for the last 80 years, and the only answer that we have come close to is that it’s a reflection upon the self and the experiences that occurred while being satisfied with them. The reflection of our experiences and memories has been a journey humans have partook in for centuries. This has been through the telling of stories but has evolved into the storage of albums and pictures. In the digital age, all of these pictures are simply stored on our phone. Through looking back on pictures and albums, we re-experience the memories and attain self-actualization. We are even able to get further insight into our own ways of thinking or a better understanding of the timeline of our lives.
However this process is changing in the digital age, and though the access to our media is by far easier, the process of accessing it isn’t as engaging. Our phones and devices are meant to be ready for taking pictures on the go, but when we need to review back our photos, the only way the memories are placed is by date. Memories are beyond a date. They are events and should be labelled by related events, because events help us tell stories. Thus our app My Story is meant to recreate stories.
What it does
My story is an app that takes photo collection and album making to the next level. By uploading the photos by date, and labelling each photo under suggested or common events, the memories selected by the user and tracked and sorted for easier tracking and organizing. All albums can be stored on one account and pictures can be related to a single or multiple events.
Each album and photo can be accompanied by a diary post that further details the events and the emotions that were felt that day or during the taking of the photo.
How I built it
To construct this experience we created a UI using NodeJS, Express and PUG for an easy flow and interaction with the database. The UI follows four simple steps; make an entry, select a date, upload a photo and create or select related tags. This optimizes the database that was created using MongoDB Atlas. The database interacts with the UI based upon the desired tags set by the users. Thus the interaction can be based upon user upload dates or the previously created tags set by the user.
Challenges I ran into
We had experience with using SQL databases but had no experience with noSQL databases. There was a learning curve with using MongoDB as our database and with hosting on MongoDB Atlas.
Accomplishments that I'm proud of
We are proud that we were able to create a working prototype and that we learned how to use MonogDB Atlas to host our database.
What I learned
We learned how to use noSQL databases and mongodb atlas and how to use PUG as a template engine.
What's next for Digital memories album "MyStory"
The next steps of MyStory is to take it to the next level of optimizing for users. What MyStory currently lacks but can develop after a lot of data accumulation is to incorporate AI and image analysis for pattern recognition to suggest events for the user after an image is uploaded. These suggestions can be based off of past created tags or proposed future tags, and the more user interaction, the more accurate the tags created can be. This would be a huge step in the expansion and development of MyStory but it’s a necessary step for catering to the best user experience. Creating an ioS and Android versions of an app would also assist heavily in making the service more accessible to users.
Built With
android-studio
atlas
express.js
mongodb
node.js
pug | Digital memories album "MyStory" | A cloud web and app based program to store photos and videos based on events and related memories/experiences | ['Mehali Mistry', 'Maryum Waseem'] | [] | ['android-studio', 'atlas', 'express.js', 'mongodb', 'node.js', 'pug'] | 117 |
9,892 | https://devpost.com/software/ushopwedrop | Inspiration
COVID-19
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for uShopWeDrop | uShopWeDrop | A website for online grocery shopping right to your front door! | ['Alvin Pho', 'Katherine Mu', 'Jordan Stinson', "Nolan D'Souza"] | [] | [] | 118 |
9,892 | https://devpost.com/software/covinfo-wbnlmx | Inspiration
We saw that a lot of the news stories and media we consumed were over-sensational and often straight-up false. Especially with issues as sensitive as
global pandemics
, we needed to find a way to restore trust to our sources of information.
What it does
We run a semantic search upon a provided website/text against a database of thousands of Coronavirus related scientific studies, papers, and articles (the CORD-19 dataset). We find the most relevant studies and present them to you directly so you can find out if the media you consume is truly worth reading.
How we built it
We used a Python backend which uses a Google Cloud Platform's Big Query API (which hosts our SQL-queriable dataset) to pull studies and their data. Then, we implemented a semantic search algorithm to find the most relevant studies to the source text. We interfaced it with a website that calls a script that can quickly pull data from any url. Then, our backend sources the top 3 most relevant scientific articles and studies (see video above).
Challenges we ran into
We initially tried to build a chrome extension, but had a hard time creating an interface with our Python backend. Additionally JQuery didn't support a lot of the features we were looking for, but we found that out too late. We crated a temporary solution using AutoHotKey, and later replaced it.
Accomplishments that we are proud of
We managed to host a frontend that we had a hard time integrating into the rest of our platform. Additionally, we managed to reduce the running time of our semantic search from ~90s to a 15 second range (which we plan to improve on later).
What we learned
It was our first time using Google Cloud API, and we learnt a lot from it and how easily it can be integrated. However, we discovered this too late, so we couldn't use its full potential.
What's next for COVInfo
Next, we want to host our site on domain.com and have a could-based backend fully integrated with Google Cloud. This will help us improve our query speeds. We also want to implement indexing to improve efficiency. Our team sees this tool also being used as a chrome extension, which we will continue to look into. The algorithms and tools we used are very versatile, so we could continue finding databases of studies (possibly working with the major journals themselves), and apply these solutions to create a more trustable post-COVID world.
Built With
autohotkey
google-cloud
python
Try it out
github.com | COVInfo | With COVID-19 related disinformation everywhere, we designed a solution centred around trust and science. | ['Siddharth Gupta', 'abbiram', 'Dev Parikh'] | [] | ['autohotkey', 'google-cloud', 'python'] | 119 |
9,892 | https://devpost.com/software/sars-cov-2-interactive-simulation-visualization | Inspiration
The spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus across the globe has forced many governments to shut down large portions of their countries in order to keep their populations safe. Fearing the worst, policymakers are keen on preserving the current lockdown state. The spread of anti-lockdown protests, notably ones of
violent-intent
threaten to cause another surge in cases, negating any efforts already made. We wanted to make something that would help educate the world on the dangers of the virus if social distancing regulations were not adhered to. We feel that at least in part, current regulations have made the virus seem a lot less severe than it really is, and we hope that our model can help individuals visualize the exponential nature of the spread of this disease, as statistics may not appeal to the majority of the public.
What it does
Our simulation models a sample population where movement is random. The simulation begins with one member of the population being infected (labelled "patient zero"). Close contact results in an infection, while individuals who are infected are periodically cured or pass away. When an individual infects a healthy person, a line is drawn from the infector to the infected, tracking how the virus spreads and drawing a complex infection map. Individuals who are dead or cured
cannot contract the disease twice
.
How I built it
We focused on development with python on arcade, but switched to arcadeplus due to certain performance advantages, with each person focusing on a different aspect of the simulation, such as the movement of the people or the progression of infection.
Challenges I ran into
Keeping the simulation efficient was a big challenge since we had no prior experience with running a simulation. Each person had to be aware of the others to track infections, and there was a graph that was continuously drawn, which inhibited performance.
Since this was our first hackathon as well, we weren't prepared for how tired we would be by night, and our lack of energy definitely slowed down our progress.
We tried to implement social distancing as well, but the nature of the random movement for each person made the process much more difficult than expected.
Social distancing progression:
Attempt 1
Attempt 2
Accomplishments that I'm proud of
Creating random movement for each person, and being able to track the path of infection. For our first hackathon as high school students with limited programming experience, we are proud of our final product.
We were particularly proud of our implementation of infection tracing, which allows for a better visualization of how the disease spreads by connecting different nodes based on who infected who.
GIF
What I learned
Hackathons require a lot of attention, focus and patience.
What's next for SARS-CoV-2 Interactive Simulation-Visualization
Implementing a social distancing factor, and moving to a web app. Ideally, we would also like to see a more rigourous algorithm used to determine the spread, recovery and lethality of the virus backed with more research, as well as better scalability by implementing CUDA support, as well as allowing for the decentralized peer-to-peer sharing of computing resources to simulate larger data sets that can actually be used in real-world modelling.
Built With
arcadeplus
python
Try it out
github.com | SARS-CoV-2 Interactive Simulation-Visualization | Recent global developments have sparked the increase in individuals who seek to "reopen" their communities, understating the dangers of COVID-19. We aim to educate the public on its true dangers. | ['Timothy Zheng', 'Eric Ji', 'YXu'] | [] | ['arcadeplus', 'python'] | 120 |
9,892 | https://devpost.com/software/kwikkonnect | Logo
kwikbot matching messages
Slack chat configuration and information
Video call with prompt
Video Call without prompts
Exit page (after timer finishes)
Inspiration
With COVID-19 impacting many social and organizational aspects of everyday life, we wanted to develop something that would mitigate the loneliness of social isolation and allow users to stay engaged within their teams and friend groups despite remote work. Thus, we designed KwikKonnect, a Slack bot and video call web platform which facilitates spontaneous video calls within groups. Through KwikKonnect, remote teams can form new bonds and stay connected, quickly and accessibly online. KwikKonnect has usages for remote coffee chats and off-site socials as well as more rapid-paced virtual networking events.
What it does
The Bot
kwikbot is a Slack bot which pairs users in a Slack team for short video calls. Once added, the team owner can configure the duration and frequency of the video calls, with defaults of 10 minutes and 24 hours respectively. The bot then pairs up team members who have joined the #kwikkonnect channel and sends them unique, randomly-generated links which redirect the users to a short, closed video call.
After a certain number of matchmaking rounds, the bot targets pairs of team members with low chat traffic in the hopes of increasing interactions and bringing them closer together. If chat interactions between all possible pairs of group members within the team are roughly equal, the bot will revert to pairing random team members.
The Video Call
The peer-to-peer connected video calls are hosted on KwikKonnect.online, which sets up video calls that last as long as the configured duration with a simple to use and aesthetically-pleasing UI. Features include randomly-generated conversation prompts and an option to extend the duration of the call. For the purposes of facilitating conversation, closing the tab or ending the call before the duration is complete is disabled.
How we built it
The Slack bot uses slash commands for configuration and matching. Each slash command queries our backend server, which was deployed using Google App Engine. The Slack backend was built in JavaScript using Express and Node as well as the Slack Node SDK.
The KwikKonnect video call web platform was built with WebRTC through Simple-Peer for peer-to-peer video calling and socket.io to initiate video calls across devices in real-time. The backend uses Node and Express in JavaScript, and the frontend uses HTML, CSS, JavaScript, and Bootstrap. The entire platform is hosted through Domain.com.
Challenges we ran into
Coming into the hackathon with no experience with P2P platforms, slack bots, or even Node.js, we faced several challenges in developing our hack. Initially, we faced challenges setting up the backend for kwikbot to respond to slash commands through POST requests. As well, it was difficult to set up a connection between two clients on separate devices & locations on our video calling platform. Later, we also faced challenges with deploying our Express servers using GDP and hosting on domain.com. As well, we had some difficulty styling our web platform for a cohesive design across different devices. We're extremely proud that we were able to overcome all these challenges through collaboration and a lot of stack overflow. We also had some difficulty coordinating and collaborating as a team remotely, but found success in video calls. As we completed development, we even used the KwikKonnect platform itself!
Accomplishments that we're proud of
Between the Slack bot, Slack backend, web platform frontend, and web platform backend, there were a lot of different parts that went into this hack, and we're super proud we were able to make them all work together. We're also really happy to have created a hack that we truly believe can make a positive impact during and after COVID-19 with many people working remotely.
What we learned
We learned a lot about how to set up and deploy servers using Node and Express from building & deploying two very different backends. We also learned a lot about styling & UI design and integrating our app with a 3rd party platform like Slack. Outside of technical aspects, we took a deeper dive into current and future trends due to COVID-19 in our initial ideation phase, which also taught us more about the greater impacts of COVID-19 and got us thinking about its longer-term ramifications.
What's next for KwikKonnect
In the future, we hope to expand KwikKonnect to other popular platforms such as Discord to further facilitate conversations between others and bring the world closer together from the safety of their own homes. As well, we hope to add additional features to kwikbot such as statistics and analytics about the number of calls that you have had and who you've met with. Finally, we hope to further refine our video calling platform to incorporate additional features such as AR filters.
Built With
css
domain
express.js
google-cloud
heroku
html
javascript
node.js
slack
webrtc
Try it out
www.kwikkonnect.online
kwikkonnect.herokuapp.com
github.com
github.com | KwikKonnect | Slack bot and web video calling platform that facilitates spontaneous conversations in a remote environment | ['Evelyn Li', 'Stephanie Xu', 'Betty Guo', 'Alice Li'] | [] | ['css', 'domain', 'express.js', 'google-cloud', 'heroku', 'html', 'javascript', 'node.js', 'slack', 'webrtc'] | 121 |
9,892 | https://devpost.com/software/tohacks-fact-checker | Website
Website demo
Website
Code_example
Inspiration
Our inspiration for the project was all of the fake news since the COVID-19 pandemic. Our program would enable users to obtain concrete facts rather than common lies to hopefully put them at ease in these troubling times.
What it does
The website consists of a search bar where the user inputs a statement to fact check. The website then returns an article with information pertaining to the input statement and whether or not the claim is valid using Google's fact check tool API.
How I built it
The website is hosted on Netlify with its own custom domain from domain.com. The website works the user inputs and the fact they want to be checked and the website then sends the queue to the API. The API processes the request and returns a JSON file to the website which is then parsed for useful information and then displayed to the user.
Challenges I ran into
Some of the challenges that we encountered during this build are that coming into this build none of us had any experience with APIs, javascript or Webhosting. This enabled us to learn many new things about how these systems worked and integrated together. This allowed us to learn many things and in the end create a successful website linked to Google's fact check tool API.
Accomplishments that I'm proud of
Were all proud of creating a working website that is hosted on our custom domain. We were able to successfully send a and receive request from the API and parse the JSON file returned. Before we started we had little to no experience on the topic and in the end through many hours or research and persevering through challenges enabled us to complete the website you see today.
What I learned
This project enabled us to learn more about web development, web hosting, domains, and APIs. As most of us came from little to no experience in web development this project enabled us to obtain a much deeper understanding of all these systems and how they integrate together.
What's next for TOhacks - Fact checker
Some of the next steps for this program would be to add additional articles rather than just one and create a more robust website with additional features. Also adding more robust features to improve usability such as more error checking ensuring that the claims displayed correctly. Another feature we should add is more communication with the user for example if there are no results display that there are not results to the user. We could add more article displayed in order to have additional sources proving the fact thus improving credibility
Built With
api
css
google-cloud
html
javascript
json
visual-studio
Try it out
tofacts.space
github.com | TOFacts - Fact checker | During a time where fake news is common place it is important to be able to distinguish fact from fiction. This website checks the validity of a claim using Google's fact check tool API. | ['David-Feldt Feldt', 'Bryan Guan', 'Luca Cristiano', 'joshuakurien Kurien'] | [] | ['api', 'css', 'google-cloud', 'html', 'javascript', 'json', 'visual-studio'] | 122 |
9,892 | https://devpost.com/software/covid-filter | Inspiration
Online COVID-19 content can be repetitive and a serious downer. Our team realized that we would rather stay up to date through deliberate searches for virus related news, rather than being constantly reminded of the situation.
What it does
Filters and removes references to COVID-19 on Google, Facebook, Youtube, Reddit, and popular news sources without changing the design of each website.
How we built it
Injecting JavaScript code onto each website through a chrome extension. Used Chrome API to manage toggling functionalities.
What's next for COVID Filter
The ability for users to add custom keywords or phrases that they would like to see less of on the web.
Expanding the popup UI and replacing removed content on Google search results.
Challenges we ran into
Learning how to build a chrome extension on the fly was difficult, especially understanding the documentation and scope of each JavaScript file in relation to a user's webpage.
What I learned
How to build a chrome extension! Also greatly improved our JavaScript skills.
Built With
chrome
javascript
jquery
Try it out
github.com | COVID Filter | Coronavirus news and social media posts can be a serious source of stress and anxiety! We've built a chrome extension to remove all mentions of COVID-19 from websites without impacting web browsing. | ['George Zhang', 'Jason Kwan', 'Tony Huang', 'YiJie (Jackie) Zhu'] | [] | ['chrome', 'javascript', 'jquery'] | 123 |
9,892 | https://devpost.com/software/cov-vision | COV-Vision Logo
Login Page
COVID-19 Positive Case from Doctor's View
COVID-19 Positive Case from Patient's View
COVID-19 Negative Case from Doctor's View
COVID-19 Negative Case from Patient's View
Inspiration
A Pandemic is commonly described as a disease, which can rapidly spread across regions - not limited to infecting cities, provinces, countries, and possibly continents. Currently, the world is facing the COVID-19 Pandemic caused by a novel Coronavirus that originated in Wuhan, China. As of May 3rd, there have been a total of 3.45 million confirmed cases and 244,000 deaths. In cases of highly infectious pandemics, it is crucial to implement early detection and immediate communication between doctors and patients for public health and safety. This is why we have created COV-Vision.
What it does
COV-Vision is a web application that allows doctors to diagnose diseases and send diagnostic results automatically to their respective patients. A user first logs-in with a Google Account. If they are a doctor, they would have the ability to upload their patient's x-ray images onto our platform. This image runs through a convolutional neural network (CNN) in the node.js servers which classify if the patient has COVID-19 or not. Then, the doctor is able to send the results directly to their respective patients via our platform. If you the user is a patient, they will automatically receive the diagnostic results from their doctor with all the details alongside the x-ray image. This system will remove the need for patients to go back to the doctor's office to receive their x-ray results. If the patient is COVID-19 posititve, safety tips are given on precautionary measures to avoid spreading the virus as well as helpline numbers in case of difficulty. If the patient does not have COVID-19, tips on social distancing and maintaining proper hygiene are given. Furthermore, this system can be rapidly implemented in the cases of novel pandemics as well as act as an early detection and warning system for disease conditions. COV-Vision allows for a fast and effective way for diagnosing disease conditions and allowing communication with doctors and patients in a seamless environment.
How we built it
The front-end is built using Svelte and our back-end is hosted on a node.js server as well as using Firebase Firestore to store user status. We used a convolutional neural network (CNN) made using TensorFlow which is transferred over to the node.js server.
Challenges we ran into
The biggest challenges we ran into were in the machine learning and back-end components of our project. The machine learning component had a very low accuracy at first. However, we were able to quickly fix this problem by adding more datasets and layers to the CNN. The back-end component of linking everything together was hard. Eventually, after looking over a lot of documentation - we successfully linked the front-end with the node.js servers and the machine learning component.
Accomplishments that we're proud of
We are most proud of having accomplished many of our goals for this application. We were successfully able to integrate all of our back-end and front-end components together despite the struggles. The application itself has many functionalities for the users. Overall, we have put our knowledge and experience with these technologies and languages to excellent use.
What we learned
We learned a lot about optimizing CNNs for the purpose of image recognition. We are thankful by the helpful tips which were provided to us from our mentor (shout out to my boy Shun Lin!). In terms of the back-end, we had to learn a lot behind connecting a CNN with a node.js server to analyze the images and send them to respective users. This project helped us learn a lot about advanced back-end networks and utilizing them in an efficient manner.
What's next for COV-Vision
In the future we would like to add more functionality rather than just detecting COVID-19 from lung x - rays. We would like to add more detailed analysis of various other disease conditions such as pneumonia, tuberculosis, and malignant tumors from a wide variety of patient data.
DEMO VIDEO:
https://www.youtube.com/watch?v=0Hey53NdQBY&feature=youtu.be
Built With
firebase
keras
node.js
python
svelte
tensorflow
Try it out
github.com | COV-Vision | A web app that allows doctors to connect with their patients, supplying diagnostics with the help of machine learning. | ['Borna Sadeghi', 'Neil Mitra', 'Eric Xiao', 'Aryan Afrouzi'] | [] | ['firebase', 'keras', 'node.js', 'python', 'svelte', 'tensorflow'] | 124 |
9,892 | https://devpost.com/software/distance-better | Toronto at a high level of activity
Toronto zoomed in further
Inspiration
With 3 million+ cases of COVID-19 in North America, social distancing needs to be maintained more than ever. Moreover, as cities start to open up due to economical pressures, a means to know which parts of the city are crowded to maintain social distancing measures is needed. That's where our application comes in.
What it does
We used facial recognition and google maps business activity data to create a heatmap of hotspots around a city or area so people know which places they can avoid going through.
How we built it
We used many video streams processed in “real-time” with OpenCV and fed through object detection in Python. We also scraped data from business on Google Maps. The data was then aggregated, prepared, and pushed to Firebase Database with real-time updates. The data was then pulled from the Realtime Database and displayed in a heatmap on Android.
Challenges we ran into
It was hard figuring out how to link the database to the heatmap but once we figured it out it turned out great.
Accomplishments that we're proud of
We were able to complete a project without the benefit of a whiteboard. It was also the first time many of us had used Android Studio and Firebase.
What we learned
We learned to work with strangers and become friends through the experience. Additionally, we learned that it's always okay to ask for help when needed. In terms of technical skills, we improved our skills in front-end android app development as well as working with Google's Firebase for the backend. Moreover, we learned how to use facial recognition to detect crowds and translate that into a heatmap on Google Maps.
What's next for Distance Better
After completing our proof of concept, we aim to expand our database to include other provinces in Canada as well as US states so more people can be benefitted from social distancing. After the pandemic, we aim to pivot into an app to help people avoid lines at crowded shopping malls, restaurants and events.
Built With
android
computer-vision
firebase
google-maps
java
python
xml
Try it out
github.com | Distance Better | Maintain social distancing by knowing where large gatherings are happening | ['Alvin Bao', 'Keshav Shenoy', 'Abbas Safdari', 'Praveen Harris'] | [] | ['android', 'computer-vision', 'firebase', 'google-maps', 'java', 'python', 'xml'] | 125 |
9,892 | https://devpost.com/software/course-hub | The main page!
The search function in action
An example of a course listed on CourseHub
Inspiration
A great way to improve mental health while in isolation is by learning, and with so many online courses being offered for free during the COVID-19 pandemic, now is the best time to learn at home. CourseHub makes it easy to do this by listing free courses from a variety of hosts all in one place.
What it does
Course Hub searches multiple hosts on the web and finds courses being offered for free. The courses are presented in an easy-to-read list including links to each one.
How I built it
We use Selenium, a Python web-scraping library to get course information from the web, and store it in a MongoDB Atlas collection. Since the application is Python-based, we chose to use Flask as the platform for our web page. The Flask application reads and display data from the entire collection. We also used Bootstrap to make the web page more presentable.
Challenges I ran into
Each host that we retrieved courses from obviously have different web page structure, meaning we needed a different web scraping function for each one.
Our team had very little experience using MongoDB, which made it difficult to implement the search function.
Accomplishments that I'm proud of
We were able to tackle some technology that we weren't familiar with and managed to build exactly what we imagined from the beginning.
What I learned
How to use Python for web scraping, and how to use MongoDB as a back end database.
What's next for Course Hub
Implementing a way to filter by host or by subject would be useful for finding courses quicker.
The web scraping function could perhaps be improved by using multithreads. Currently, it takes about a minute and a half to execute the function and write to the database.
There's many more hosts offering free online courses that we didn't include in the project. We could update the project in the future to scrape from more sites and list even more courses.
Built With
bootstrap
flask
mongodb
python
selenium
Try it out
github.com | Course Hub | An application that searches the web to find online courses that are being offered for free during the COVID-19 pandemic, and lists them all in one place! | ['Hussein Nagri', 'Racheal Soosaipillai', 'Curtis Jones'] | [] | ['bootstrap', 'flask', 'mongodb', 'python', 'selenium'] | 126 |
9,892 | https://devpost.com/software/major-league-gardening | Inspiration
Our team was inspired by the social issues surrounding the COVID-19 outbreak. The biggest challenge we saw was that people could no longer go outside and get fresh air. Rather, they were confined to their daily routines at home. This could get depressing, which is why we wanted to create an app that allows users to go outside, connect with others, and still practice social distancing at the same time. Major League Gardening takes casual Gardening to the next level, giving users the incentive to go outside to garden and compete with fellow gardeners all across the world through a competitive social media application.
What it does
The app is designed as a social media platform for gardeners to share their plants with others and participate in playful gardening challenges/missions to learn more about gardening. The competitive nature of the app allows users to take on new gardening projects to "level up" and compare their scores with friends and other gardeners around the world. You can view a feed of all the users you follow as well as upload and share pictures of your own plants. The app even offers videos and articles from professional gardeners to welcome beginners. All in all, this is your one-stop-shop for the ultimate gardening experience.
How we built it
We built the mockup of the app on Adobe Xd. The demo video was created by a voiceover over the Adobe Xd prototype with visuals from iMovie and Canva.
Challenges we ran into
We had some design issues when it came to actually develop the interface of the app. Some buttons and scroll features weren't working, and the search bar of the feed would oddly stick onto the posts. We were able to solve the problems by working together and layering various textures to make the search bars and buttons feel more natural and integrated into the software.
Accomplishments that we're proud of
We were really proud to have a full working prototype of the Major League Gardening App. It was an unbelievable feeling to see our project come to life and overcome the barriers of which were stopping us. From learning several new platforms in less than a day such as Adobe XD and illustrator to creating a successful prototype that functions extraordinarily, it was an amazing experience.
What we learned
Regardless of the outcome, we want to start to invest our time into making the prototype a reality, and actually work on the back-end of the app and code a basic social media platform exclusively for gardeners. This would make our dreams of becoming entrepreneurs a reality and take us one step closer to achieving our goals. We are inspired by emerging technologies like AI and want to improve our platform to ensure that millions of users are satisfied with our work. With the recognition that comes with winning such a prestigious event, we would like to scale our business and enter new markets around the world to maximize our potential growth. Throw market penetration, globalization and creating a reality from our prototype, we hope to make a significant impact in the world.
Built With
adobe-illustrator
adobe-xd | Major League Gardening | An interactive platform for aspiring gardeners to share, learn and compete with those in the community. | ['Jay Sharma', 'Somesh Karthi', 'Sneh Shah', 'Aamodit Acharya'] | [] | ['adobe-illustrator', 'adobe-xd'] | 127 |
9,892 | https://devpost.com/software/stocker-kw70ue | Landing Page
Active Stocks Page
Stock's Page including predicted price
Inspiration
This web app was inspired by the recent Covid-19 pandemic that drastically caused the world stock market to crash - something that has not occurred in over a decade. With stock prices constantly fluctuating, we saw fit for an application that would advise the user on buying certain stocks.
What it does
The purpose of this application is to help everyone make the right decisions when investing in the stock market. We believe that this information should be easily accessible to everyone, such that anyone can make a properly informed decision when investing in the stock market, rather than relying on potentially biased sources of information.
How we built it
Our algorithm uses a machine learning model that predicts stock trend prices in the coming future. It takes into account previous data scraped from the Yahoo Finance website, and then the machine learning model predicts what the stock price will be for the next few days. Considering that the COVID-19 pandemic is an event that drastically changed the economy, we will only be using data starting from when the pandemic first began.
Challenges I ran into
The main challenge we ran into was the unfamiliarity with the frameworks we were using (Tensorflow, Django). It cut into our time having to learn syntax and troubleshoot with setting up the Django framework.
Accomplishments that we are proud of
The fact that we could incorporate machine learning into our application to predict future stock prices.
What we learned
We learned the application of machine learning and how it can be used with global issues such as the stock market situation. Also, we exercised the use of Django framework for making our web app.
What's next for Stonks
In the future, we would like to implement the option to search for specific stocks by their symbol, as well as give reasonable advice whether to invest in the stock or not with respect to the data obtained.
Built With
beautiful-soup
bootstrap
django
machine-learning
pylab
python
requests
tensorflow
Try it out
github.com | Stonks | A Yahoo Finance Stock Advisor | ['Zahid Mirza', 'Dhrumil Pandya', 'Jacob Rintjema', 'Uzair Muhammad'] | [] | ['beautiful-soup', 'bootstrap', 'django', 'machine-learning', 'pylab', 'python', 'requests', 'tensorflow'] | 128 |
9,892 | https://devpost.com/software/phishing-for-covid | Nothing yet
Built With
flask
gcp
python | TOHacks2020 | Collect information about COVID related phishing campaigns | ['Tony Y.'] | [] | ['flask', 'gcp', 'python'] | 129 |
9,892 | https://devpost.com/software/courieru | Home Page
Donation Page
Request Supplies
Courier Page
Update delivery status
Match couriers with recipients
Route Information
Inspiration
During this Covid-19 pandemic, our team saw a lot of need for many basic supplies. There were a lot of people hoarding more supplies than they needed, thus leaving those in need with less supplies. We wanted to create a platform that could help solve this issue and make supplies accessible for those that really need it.
What it does
The platform allows a virtual interaction between three users, the person requesting, the person donating, and the courier. For the person requesting, they are able to submit requests for supplies that they need. The person donating can view these request and choose which ones they want to donate to and drop the item off at the warehouse. The courier will then pick up items from the warehouse and deliver them to those who have requested it. Users are able to track their deliveries and couriers are able to view directions from the warehouse to the house of the requester.
How we built it
We use the Bootstrap library for the front-end development of the platform, MongoDB to handle the back-end, and Mapbox and Radar.io to handle the map integration.
Challenges we ran into
For past web-development projects, we mostly used the React framework. However, since Mapbox could not be natively used with React, we had to opt for Bootstrap, which was a more compatible library.
Accomplishments that we're proud of
We were able to successfully integrate a live map showing the requests and donations. In addition to that we were also able to generate the fastest route between the requesting point and donating point. We also added a login functionality so that users can login once and use the website until they are completely satisfied.
What we learned
How to integrate a live map into a website, how to add login functionality to a website, and how to use Bootstrap library.
What's next for CourierU
We plan on adding estimated time of delivery, so users know exactly when they will receive their supplies. An AI dispatcher, which can assign delivery jobs to the closest couriers. Adding a limit to how many items a user can request, to prevent hoarding. Pairing up with food banks to conduct mass deliveries.
Built With
bootstrap
express.js
html5
javascript
jquery
mapbox
mongodb
mongoose
node.js
radar.io
Try it out
courieru.herokuapp.com
github.com | CourierU | A tool for food banks and charities to efficiently deliver supplies to those in need while respecting social distancing. | ['Mitravasu Prakash', 'Henry Zhang', 'Colin Lin', 'Daniel Chua'] | [] | ['bootstrap', 'express.js', 'html5', 'javascript', 'jquery', 'mapbox', 'mongodb', 'mongoose', 'node.js', 'radar.io'] | 130 |
9,892 | https://devpost.com/software/borgr | The main page, click the burger to find your nearest burger restaurant!
An example of the kind of Google Maps page it'll redirect you to.
My UiPath StudioX Setup for Outlook email automation
An example of an automatically generated UiPath email
IT'S LIVE! Try it for yourself!
borgr.space
(if your browser complains about that URL go
here
instead!)
Domain.com Best Domain Submission: borgr.space
Inspiration
Close your eyes and imagine you're on a road trip with your best buddies. Someone's stomach grumbles, you need to find somewhere to eat. It's been a long day and you don't want to argue but how will you pick where to go? That's the problem I'm trying to solve. Introducing
borgr
, my new project that sends you to the nearest burger restaurant with one click.
What it does
Using
borgr
is simple: go to borgr.space and hit the button and it'll redirect you to a google maps page for the what radar.io thinks is the nearest burger restaurant to your location.
This works by using a pair of Radar.io's APIs. First it uses the IP Geocoding API to get your coordinates from your IP address, then uses the Place Search API to find the nearest burger restaurant to you from those coordinates. Then, it'll do some
borgr magic
and generate a well formatted google maps search link with it'll then redirect you to, which lets you easily get the directions from.
In addition, my UiPath implementation means that whenever someone uses the website, I get an email saying where the borgr button led them to in an effort to create a
borgr map
in the future to show where in the world people have been wanting burgers and using borgr.
How I built it
A python3 flask server I deployed on Heroku with gunicorn hosts the site which uses HTML on the frontend. The backend heavily utilizes radar.io's IP Geocoding and Place Search APIs. I also used UiPath's StudioX to send myself the Outlook emails.
Challenges I ran into
-Learning to use Heroku
-Fighting with HTML to make the site legible
-My wifi network thinking I was in NJ and giving my devices IPs accordingly. These IPs were nowhere near any burger places :(
-Learning to use StudioX
Accomplishments that we're proud of
-This was the first hackathon I did by myself!
What's next for borgr
-Get a prettier frontend, I'm a backend guy with little to no graphic design/fancy framework knowledge
-Taking data from automated UiPath emails and doing some data visualization on them to create maps of where people are using borgr
Built With
flask
heroku
html5
python
radar.io
uipath
Try it out
borgrapp.herokuapp.com
github.com | borgr | Arguing about where to get food is a thing of the past. | ['Drew Ehrlich'] | [] | ['flask', 'heroku', 'html5', 'python', 'radar.io', 'uipath'] | 131 |
9,892 | https://devpost.com/software/easy-track-online | Overview
Web Address:
http://trackyourfinances.online
or
https://myfinancesapp.herokuapp.com/
NOTE: trackyourfinances.online is my submission for the best domain registered with Domain.com
Inspiration
With the current COVID-19 situation going on, many people are under unfortunate circumstances where they may not have the same income as they had before. Many people are in a situation where they need a simple, yet powerful, solution that allows them to keep track of their personal finances and understand their financial health.
That's why I created this web application, which will help people to better track their finances during this pandemic.
What it does
This app has a
fully-featured user authentication system
, where all user accounts are
anonymous
, thus
ensuring their privacy
.
Users may
add, update, and delete monthly expenses
as they come in, which are subtracted from their total income.
Moreover, users have a module set up to allow them to
set and track the progress of their financial goals
. This allows them to see their own progress, and help them strive to improve their financial health.
Lastly, the app calculates
what percentage of income the user has left
after expenses, and uses this figure to
track the financial health of the user
. This allows them to understand if they are doing well or if they need to evaluate their spending habits.
How I built it
For front-end I used:
*HTML
*CSS
*Bootstrap
For back-end I used:
*Flask (python)
*SQLite
Challenges I ran into
I was unable to implement the functionality for the app to automatically detect a new month, so the app currently requires to enter a new month by deleting expenses manually.
Accomplishments that I'm proud of
I'm proud of the slender design of the front-end, and the mobile responsiveness of it.
Moreover, I am proud of the potential impact this may have on those who decide to use it, as it may help them to become more financially literate.
What I learned
I gained new skills working with Flask. I have become more comfortable working with back-end and databases during this hackathon. Moreover, I believe I have been improving my front-end coding skills, and have learned several new Bootstrap classes that are useful in elegant design.
What's next for Easy Track Online
I plan on extending the functionality of it by adding auto-detection of new months, increased profile customization, and new features. The good thing about this app is all the different functions are modular, and can be easily inserted onto the home page dashboard. Therefore, extending the functionality will be very possible.
Contact Info
Jeremie Bornais
jeremiejbornais@gmail.com
Discord Tag: jere_mie#9432
Best Domain Registered With Domain.com
I would like to submit the domain trackyourfinances.online for the Domain.com prize
I believe it is a clever use of the .online TLD, and very relevant to this project.
DISCLAIMER: Some of the code for forms, user registration, and the overall project configuration may be similar to projects I have done in the past.
Built With
bootstrap
css
flask
heroku
html
html5
sqlite
Try it out
myfinancesapp.herokuapp.com
trackyourfinances.online
github.com | My Financial Tracker | A simple, yet powerful way to track your finances online | ['Jeremie Bornais'] | [] | ['bootstrap', 'css', 'flask', 'heroku', 'html', 'html5', 'sqlite'] | 132 |
9,892 | https://devpost.com/software/genome-manipulator | Inspiration
The world has been halted with coronavirus being a threat to all of mankind. We wanted to develop an application where scientists have the ability to check to what percentage genome sequences of viruses match.
What it does
What our application does is that it lets scientists input the nucleotide and protein sequences of two viruses, one representing the current virus, and the other representing past viruses. It then parses the documents to determine to what percentage the genome sequences have a match and provides a percentage and graph to output the results.
(We were not able to create a video as we were working to the deadline.) Check out our code at:
https://github.com/vedant3598/TOHacks
.
How I built it
We structured our application around DCP and used it to split up the work of comparing over 1400 genome sequences and make our product a revolutionary application. We used JavaScript in the back-end and HTML, CSS in the front-end.
Challenges I ran into
We had a lot of challenges working with JavaScript as we were not proficient with the language, but we were able to work together and research whatever our tasks were to complete the project. It was a little challenging working with the DCP because we were not able to split up the work and make our application function how it was supposed to but pulled through and came up with a solution.
Accomplishments that I'm proud of
Learning the importance concepts surrounding JavaScript was great and working DCP was also a great experience as this is a technology with great applications now and in the future.
What I learned
JavaScript, perseverance
What's next for Genome Manipulator
We want scientists to be able to submit multiple file types instead of CSV alone. Additionally, we want to make our genome matching sequence algorithm faster and more efficient to support files with more genome sequences.
Built With
csv
distributed-control-protocol
javascript
Try it out
github.com | GeneMatching | Providing statistical analyses on viruses to determine possible vaccines. | ['Vedant Shah', 'David Chung', 'waseykhan Khan'] | [] | ['csv', 'distributed-control-protocol', 'javascript'] | 133 |
9,892 | https://devpost.com/software/blissfulbrowsing | Inspiration
The online world is chaotic, a turbulent marketplace of the world’s real time thoughts. The Web permits an unprecedented level of raw, unfiltered communication--all anonymous. Humanity lets loose, and with all of the good, there can also be bad. This toxicity is simply accepted by the Internet as the cost of access. However, we at BlissfulBrowsing firmly believe that online toxicity is a damaging and unreported problem, affecting mental health. But machine learning and techniques like sentiment analysis can help.
What it does
BlissfulBrowsing is a Google Chrome browser extension that removes toxic and damaging statements, comments or posts from web pages. Toxicity encapsulates everything from negative statements, threats, profanity, and other harmful statements that have the potential to negatively impact your mental health. The extension parses through the entire webpage and detects toxic language through sentiment analysis and by linking to the TensorFlow model. All toxic material is then removed by the extension, leaving behind a mental health-friendly webpage. With the removal of online toxicity, BlissfulBrowsing aims to keep your browsing experience positive and protects your mental health from the negativity that is unfortunately all too common online.
How we built it
The Chrome extension was written in Javascript. The group decided to leverage a TensorFlow.js pretrained model that determines the relative toxicity of a phrase, expressed as a confidence value. The extension works by parsing through the current HTML page and parsing it into separate phrases. The split phrases are then sent through the TensorFlow.js model which then returns the toxicity of each phrase. If the toxicity confidence surpasses a predetermined threshold, the phrase is determined to be toxic and the extension filters out the toxic phrase.
Accomplishments we're proud of
Despite all team members having previous coding experience with various languages such as Python, C, Javascript and more, this was the first time anyone had undertaken the development of a Google Chrome browser extension. We decided not to train the language sentiment model from scratch, and decided to leverage a pretrained model instead. The implementation of the TensorFlow model in the extension on its own was a challenge, though eventually the team was able to bring it together, culminating in a fully-functioning BlissfulBrowsing extension. We are extremely proud of our project, which is intended to positively impact the mental health of all online users, and heal a toxic Internet.
Future steps
Although the existing model is accurate in filtering out toxic messages, it requires a significant amount of time to pass all the phrases in a web page through the model. As a result, the web pages have a slight delay in loading time before the toxic messages are removed. Our first step towards the project after the hackathon would be to address this issue and increase the speed of the extension. For additional improvements, the extension would add functionality for filtering toxicity in languages other than English by training our own models and integrating them into the extension.
Built With
chrome
html
javascript
tensorflow
tensorflow.js
Try it out
github.com | BlissfulBrowsing | Chrome extension that filters out toxicity from webpages | ['Shafiq Qaadri', 'Alexander Hwang', 'Ansh Kuckreja', 'Kais Jessa'] | [] | ['chrome', 'html', 'javascript', 'tensorflow', 'tensorflow.js'] | 134 |
9,892 | https://devpost.com/software/finance-fairy | Inspiration
spoke with many panicked people during the covid19 pandemic -> unable to meet their financial obligations such as rent, car payments, etc., retirement funds took a bigger hit than they could afford in the stock market
while sitting down to help my sister (who is a recent college graduate and a new nurse in this pandemic) budget, start an emergency fund and plan her finances, i wanted to create something that people like her, my parents, and many others could utilize easily without relying on financial advisors at banks who will often try to sell their own products to customers
What it does
personal finance planning app
takes in user's financial info
outputs a visual snapshot of strengths + weaknesses of their financial situation
gives recommendations for improvements/ next steps in their financial journey
How we built it
Front End was made using Swift and Xcode
Firebase's database stores all the user information
Using Wealthsimple's financial recommendations we determined the users financial status
Apple's Charts library was used to create infographics
Challenges we ran into
Collecting and organizing user data was a difficult process to keep track of
Handling different financial data and it's the importance to the overall algorithm
What's next for Finance Fairy
Accessing additional financial information such as credit reports for a more thorough analysis
Adding support for stocks to help users see how their investments are doing
Link to Video (Downloadable Version):
https://drive.google.com/open?id=1OLXoQfYBB-U74rcXa2iRfpwRdyrVeXl_
Built With
firebase
ios
Try it out
github.com | Finance Fairy | A reality check and guidelines for your finances to help wishes come true. | ['Harsh Dawda', 'Amy Song'] | [] | ['firebase', 'ios'] | 135 |
9,892 | https://devpost.com/software/hot-takes | UI
Inspiration
Social media comments across all platforms can range from toxic to bizarre with some high quality takes mixed in. I wanted to provide my take on a fun little social media app where the post itself is the sole focus.
What it does
Users can register, log in/out, add their Hot Take to the feed and vote on other entries. An emoji next to the entry denotes how other users feel about the post. The circle around the vote count also changes colour depending on whether the vote count is a positive or negative number.
How I built it
I built this web app with React. I used plain jane CSS and a little Bootstrap for the styling.
Challenges I ran into
I ran into a major challenge. I woke up Saturday morning ready to hack and as it turns out, my university was the victim of a cyber attack and campus internet is down. I had to make do with hot spotting some WiFi from my phone. This really limited what I was able to put out as the final product.
Accomplishments that I'm proud of
I am really glad I was able to navigate the challenges I faced and at least put out
something
even if I had planned for so much more.
What I learned
I built on a lot of what I already knew and picked up a few new CSS tricks along the way.
What's next for Hot Takes
I hope to finish the project and turn it into something fully functional. I wasn't able to add a lot of desired features due to my internet limitations and hope to complete it soon.
Built With
css3
html5
javascript
jsx
react
Try it out
github.com | Hot Takes | Hot Takes is a lightweight social media web app where users can post their takes on today's hot debates and upvote/downvote other entries. | ['Mike Paiva'] | [] | ['css3', 'html5', 'javascript', 'jsx', 'react'] | 136 |
9,892 | https://devpost.com/software/note-js-wcmbkh | Check out our video demo at the
most recent
upload to this channel!
DialekTech Demo Channel
Inspiration
In a time where students have to rely on limited online resources more than anything to complete their education, many can find it tedious and stressful to be academically successful. This is most prevalent in online learning platforms for teachers to conduct lessons, as what can be communicated via a screen may not be as effective or comprehensible as a real classroom setting. As students ourselves, we find it difficult to be able to find clear and concise answers to questions when the teacher is not available. With DialekTech, students are able to have a more interactive learning experience, and are able to pull answers for specific questions from long lectures.
What it does
DialekTech takes in long video lessons and queries for the answers to specific questions asked by students. Using the Sørensen–Dice coefficient, Dialektech allows students to find the timestamp of the question asked. With the help of DCP, the process of doing this for many students learning many lessons can be computed efficiently.
How we built it
Using FFMPeg and Google Cloud's Speech-to-Text API, we are able to convert mp4 video data into flac audio data and then into a transcript complete with precise timestamps for each word recognized. The transcript data is stored and communicated via MongoDB. The question by the student is then compared with different sections of the transcript using the Sørensen–Dice coefficient. In order to process large amounts of text in this way, we use a Distributed Compute Protocol (DCP), to compute this efficiently. Finally, the timestamp of the most similar section is given to the student to provide an efficient way to search for solutions. This project is built with Node.js.
Challenges we ran into
Being unfamiliar with the new NPM library, we ran into challenges setting up the website while using the NPM command-line client. We also had a hard time working with DCP, due to unfamiliarity with the concept and the limited resources for it. Furthermore, we had to learn from scratch how to use Google Cloud's Speech-to-Text API.
Accomplishments that we're proud of
We were able to create a successful application with several parts that we were previously unfamiliar with. We were able to use a wide variety of different tools ranging from machine learning API to speech-to-text recognition algorithms, to distributed computing algorithms.
What we learned
By using DCP, we were able to make the queries much more efficient, as we were able to use a distributed system to get other networked computers to do the computation. Also, by using Google Cloud's Speech-to-Text API, we were able to convert audio to text by applying powerful neural network models.
What's next for DialekTech
While the Sørensen–Dice coefficient is more effective than other string-comparison algorithms such as Jaccard or Levenshtein, DialekTech can continue to improve its understanding of topics in a question or lecture using natural language processing, possible with the help of Jensen-Shannon divergence.
Built With
bootstrap
css
dcp
express.js
ffmpeg
google-cloud
heroku
html5
javascript
mongodb
node.js
Try it out
dialek.tech
github.com | DialekTech | The all-comprehensive educational video analyzer. | ['Kevin Qu', 'David Shen', 'Leon Si', 'Kevin Cui'] | [] | ['bootstrap', 'css', 'dcp', 'express.js', 'ffmpeg', 'google-cloud', 'heroku', 'html5', 'javascript', 'mongodb', 'node.js'] | 137 |
9,892 | https://devpost.com/software/people-count-ai | Inspiration
The idea for this project came when one of our teammates was denied entry into Walmart because there were too many people in the store. While it is absolutely essential for stores and businesses to keep track of the number of people in a store at a given time to maintain social distancing and flatten the COVID-19 curve (this is a legal requirement in ontario at least) , we couldn't help but wonder
wouldn't it be great if that number was made available to the public in real time?
People Count AI was born to do just that! People Count AI allows Businesses/stores to record the number of people in their buildings in real time and to publicly post this number on the People Count AI website. Thus, users will be able to see in real time the number of people in a store and make an informed decision as to whether to shop in that store or not. By allowing customers to see the number of customers already in a store at a specific time, People Count AI helps customers avoid stores near max capacity and find stores with less people. Thus, during the COVID-19 pandemic, People Count AI can mitigate store overflow, decrease COVID-19 transmission between customers and employees, and improve the overall customer experience (since customers can now choose stores with the least number of people and avoid having to line up outside the building).
What it does
People Count AI is a web application for both businesses/stores and customers. Businesses/stores can create their own web account containing basic information like Company Name, Address, Company Description, Max Capacity, and of course a tally for recording the number of people in the store. This information is then stored on the website’s MongoDB Atlas database and made public to users on the website. Businesses can either use their web account to manually tally up the number of people in their stores, or, if they have access to security cameras that can record customers coming in and out of the store, they can use People Count AI's inbuilt Machine Learning program to do the counting for them. Users of our website will then be able to search for their desired store from the web account database, see in real time how many customers are already in a store, and decide whether they should shop at the store or not. Additionally, when users search for a store, the website will always first show the stores with the least amount of people.
How we built it
We used Node.js to manage server side programming and program functions that allowed the front end programmer to update, add, and delete rows from the MongoDB Atlas Database. HTML, CSS, and Bootstrap were used to develop the front end of the website. Javascript was also used to create a Machine Learning algorithm that tallied customers coming in and out of a store.
Challenges we ran into
Most of us were not comfortable with Javascript programming, so many of us had to find a way to learn the language in a very short period of time. We also encountered some issues with the Machine learning algorithm. Specifically, we were using an API that could only count people in a photo and not a video. Thus, we had to develop a program that turned a recorded video into multiple snapshots and then ran the Machine Learning algorithm on each snapshot.
Accomplishments that we're proud of
We were able to create a fully functioning website within only 24 hours. Many of us also had to learn new languages overnight like JavaScript and Node.js.
What we learned
We learned to push ourselves outside of our comfort zone. No one in the team has created such a large and complex website before, and most of us were not comfortable with Javascript programming at all. Thus, we didn't think we could pull this off. However, by working together as a team to learn a completely new programming language within 12 hours and spending virtually every hour of the hackathon coding the website, we were able to finish the website in time. From this hackathon, all of us gained invaluable programming experience and experience in full stack web development which will be useful for future hackathon projects.
What's next for People Count AI
We wanted to make People Count AI a product that can be accessed and used easily by the public. Thus, we plan to introduce email authentication and other forms of authentication and security a professional website should have. We also plan to edit the store search bar so that searches account for both distance from user and the total number of people in the store. To do this, we will have to familiarize ourselves with a Geocoding API. We also plan to introduce a customer account, so customers have the option to save their searches.
Built With
ajax
bootstrap
express.js
google-cloud
html5
javascript
jquery
mongodb
node.js
Try it out
github.com | Counting People AI | In light of COVID-19, People Count AI allows Companies to record the number of people in their stores and post the numbers on a website in real time. | ['Kaiyi Liu', 'lidickson1 Li', 'Tharun Ragulan', 'Marwa Ahmed'] | [] | ['ajax', 'bootstrap', 'express.js', 'google-cloud', 'html5', 'javascript', 'jquery', 'mongodb', 'node.js'] | 138 |
9,892 | https://devpost.com/software/nearbuy-18yt74 | Thumbnail!
A mobile app designed to reduce the monopoly of third-party food apps on local restaruants currently operating. NearBuy encourages the support of local businesses directly.
Alternative Accessible reading format:
NearBuy - Stay Safe. Support Local.
INSPIRATION - Is the only way to get take-out food through a third party app?
Third-party food delivery apps, Uber Eats, DoorDash, Skip the Dishes, have undoubtedly gained momentum within the past couple of years. Out of convienence, of course. Sure, it might be slightly more expensive than take-out, but it was worth it for many.
And businesses were getting more traffic. Why else would they agree to the 25% cut most companies demand?
But with most cities imposing strict restictions against dine-in operations, signing up for apps like these were no longer optional. How else were local family restuarants going to get exposure? Even if it meants potential losses when the apps experience glitches, and your business is marked ‘closed’ for days. Even if it means your profits are further dwindled.
At the same time, consumers much rather use an app too. The use of the telephone seems foreign for most of the younger generation. And nobody wants to visit a restuarant only to find they aren’t available for taakeout.
Third-party delivery seems so easy, for consumers and restuaranteurs. There was only ever the illusion of choice.
Introducing NearBuy.
A map that offers consumers choices on how to support local. Businesses can list their restaurant status, which are validated by users. Users can choose if they would like to use a third party delievery app, or choose an ordering method that supports the business directly.
FEATURES
Track user location using Radar API
Display local businesses and offerings
Redirect users based on ordering option
APP STRUCTURE
MongoDB + User typed query --> Display on Map --> user redirects based on selection
CHALLENGES & LEARNING POINTS - What the experience was like for each of us
Jeff Suitor (Focus: React Native)
Challenge: One issue I realized late last night was the incompatibility of the React Maps API with registering our user button clicks. Good thing we caught it sooner than later!
Learning Point: Time management. We shouldn’t have taken on more than we could handle.
Zack Ren (Focus: API Mangement)
Challenge: I faced issues with setting up the Radar API, but with the help of our team, we got it resolved quickly.
Learning Point: I think setting up the environment in advance would be a great way to ensure the rest of the event runs smoothly
Longxi Lin (Focus: Design & Marketing)
Challenge: TOHacks was arguably shorter than any hackathon in my experience. It was difficult to balance sleep and productivity.
Learning Point: I think going into an event and deciding roles and a game plan is key to know who is responsible for what aspect.
WHAT'S NEXT FOR NEARBUY - What we hope to implement in the future
Users can rate their order experience
Data on most frequent method of orders
Voice detection of food preferences
Built With
mongodb
radar.io
react-native
Try it out
github.com | NearBuy | Deconstructing dependence on third party food delivery apps | ['Jeff Suitor', 'Longxi Lin', 'Zack Ren'] | [] | ['mongodb', 'radar.io', 'react-native'] | 139 |
9,892 | https://devpost.com/software/spreadsafe | The home screen shows important updates such as total cases, new cases, and latest trends
Each nurse can log in and choose to view reports, live display, model predictions, or report a case
All reports with info about Name, Condition, and ID for each patient
Live map of infected patients' rooms
Mathematically modeled (SIR) predictions of total cases and recovered
Adding a report for a new case - typing in name
Typing in condition
Typing in patient ID #
Every user receives a notification on a new case addition
Inspiration
From having my own relatives in danger, to hearing about it on the news, the impact that Covid-19 has had on nursing homes is devastating. I simply sought out a way to help, and this is what I came up with.
What it does
The app is designed to be used by all staff at nursing homes; it allows them to track cases as well as view modeled predictions about the future in terms of total cases and recovered. Each nurse is able to view a general update on the home page, followed by a list of all cases (photo, name, condition, id), a live map of all rooms with infected patients, and finally 2 modeled graphs based on their data. In addition, they have the ability to report new cases through the app which will send out notifications to all works.
How I built it
I used Android Studio to design and build the front-end, and connected it to Firestore, Firebase Cloud Messaging, and a hosted python script to model the predictions with the SIR method.
Firestore was used to store the data in regards to all infected patients. It is accessed when displaying cases to nurses and when new cases are being reported.
FCM was used to be able to send notifications upon the addition of new cases.
The CGI script hosted on my server computed and returned a mass set of data points with given variables in relation to the situation (population, day, # of infected, closed cases, recovered, etc) using the SIR method.
Challenges I ran into
I had to step up my game with UI as that is simply one of my weaknesses, and I also had to spend quite a bit of time setting up custom graphs to build inside the Android app.
Accomplishments that I'm proud of
I managed to set up Firestore and FCM Notifications rather quickly and all in all I am impressed with the overall appearance of the app.
What I learned
I gained a deeper understanding of the structure of certain Android utilities and classes, as well as applying knowledge about Maps and Sets in Java.
What's next for SpreadSafe
We hope to be able to scale this app in the near future and really put it to the test in the real world.
Built With
android
cgi
firebase
firestore
google-cloud
google-cloud-messaging
java
python
Try it out
github.com | SpreadSafe | Helping Nursing Homes Keep Track of Covid-19 and Use Model Predictions | ['Jason Li', 'Andrey Starenky'] | [] | ['android', 'cgi', 'firebase', 'firestore', 'google-cloud', 'google-cloud-messaging', 'java', 'python'] | 140 |
9,892 | https://devpost.com/software/self-triage | GIF
Example of the different outputs based on the triage levels
Inspiration
With the COVID-19 pandemic, there’s been a lot of shortages in the public health resources. Hospitals have been overflowed, and unable to effectively support all patients, needing to triage their patients. We see an opportunity to help mitigate overflow and more efficiently allocate resources by assessing patients' conditions and recommending which hospital they should visit.
What it does
A person navigates through a set of questions in the app that aims to self-triage to assess their priority (severity of symptoms, urgency time-wise) and the pivotal resources they might need. Based on this information, it computes an estimated ESI (emergency severity index). From there, we recommend which hospital they should go visit, to try to optimize the overall allocation of resources. (more on ESI algorithm here:
https://www.ahrq.gov/sites/default/files/wysiwyg/professionals/systems/hospital/esi/esialgorithmposter.pdf
and
https://www.ahrq.gov/professionals/systems/hospital/esi/esi2.html
)
Distance: We’ve assigned values to the possible ESI values (ESI_distance) that represented the maximum distance that a hospital can be for a patient with a given ESI value (and the algorithm only considers hospitals within that radius). We’ve plugged in dummy values for now since we don’t know what a suitable transport time is for each severity.
Resources: Based on the current amount of resources in each hospital, it recommends the hospital to try and preserve available resources in each hospital (this is pivotal for emergent cases where it is more important to prioritize distance instead of resources in recommending hospitals). Right now, it prioritizes hospitals based on the most scarce resource.
How I built it
We initially wrote the code in python since it was the language we were most familiar with. But that was a bad idea because python apps are not aesthetically pleasing so we pivoted halfway through and recoded it in java (having to relearn this language overnight).
The hospital information can be continuously updated with google sheets. Our app reads off the current CSV hospital information to recommend a hospital.
Challenges I ran into
We spent a lot of time designing the algorithm’s framework so it would be very modular and easy to improve on in the future, finding the key links between the different parts of the algorithm. We had a lot of trouble trying to run the open-source code we found online since many of the diagnostic tools used multiple languages.
Python code does not port well to applications and since the shell is not a suitable UI for most people, we decided to pivot to Java and essentially learn the language overnight to code a minimal app.
Accomplishments that I'm proud of
Learning java overnight
Coming up with the idea and designing
What I learned
Java & Android studio
What's next for Find My Hospital
-Better UI
-Integrate Maps API to track location to compute the actual distance (or relate back to entered postal code)
-Improving the decision making hospital prioritization to consider the overall resource allocation instead of just the most scarce one
-Streamline the database outside of google sheets
-adding information about the ER queue in real-time to help factor the wait time along with the distance to this hospital
-Further improving the database of symptoms, diseases, and hospitals and resources needed.
-Getting Hospitals on aboard.
Built With
android-studio
java
Try it out
github.com | Find My Hospital | App assessing urgency/severity of a person's condition based on symptoms. Recommends which hospital they should visit based on aiming to optimize overall resource allocation and mitigate overflow. | ['Julianne Attai', 'Morgan Tran', 'abhay126'] | [] | ['android-studio', 'java'] | 141 |
9,892 | https://devpost.com/software/covid-19-support-program-for-canadians | Inspiration
We were inspired by the COVID-19 pandemic occurring in Canada, and how it is affecting Canadians.
What it does
Our program allows Canadians to get information about the pandemic in Canada easily, and also provides resources that Canadians could use.
How we built it
We built it using Python 3.
Challenges we ran into
Some challenges we ran into included coming up with a good idea (it took us a very long time to do so), and to be able to efficiently collaborate on the project. It's our first hackathon, so we didn't know what to do with our somewhat basic programming skills.
Accomplishments that we're proud of
We're proud of the fact that we were able to learn new things about python (including referencing a spreadsheet from GitHub into our code, using pandas, datetime, and the ability to gather useful information for ourselves and the public).
What we learned
We have learned a lot of new concepts and methods for python, and also we have learned all about the hackathon experience!
What's next for COVID-19 Support Program for Canadiansr
Once we get more proficient in Python (and start using machine learning, etc.) we could use those technologies and apply them to our program.
Built With
python
Try it out
github.com | COVID-19 Support Program for Canadians | A simple program that helps Canadians gain the support they need throughout the COVID-19 pandemic | ['Rishabh Sharma', 'Eddy Zhang'] | [] | ['python'] | 142 |
9,892 | https://devpost.com/software/healthdex-9tmbec | landing page
patient records
Inspiration
HealthDex wants to move all paper records to digital ones in the easiest way possible.
In total, the team has spent over 500 hours volunteering at various hospitals across Canada over the past few years. We know that paper records are a big problem across hospitals because
we
are the ones who were responsible for organizing, preserving, and maintaining them. The process is extremely cumbersome for everyone involved and expensive.
What it does
HealthDex solves this problem by not only creating a health records platform to store data, but enabling a simple way to translate files into digital records using machine learning.
How we built it
In order to do this, we leveraged the incredible power of Google Cloud to create Healthdex. PDF files are uploaded to Firebase Store, and are accessed by Google’s Document AI. We then use text recognition and intent detection to parse form values, handwriting, and marks into mutable JSON objects. This is then sent to Firebase FireStore, where a healthcare professional can then search through the data (sorted by each patient) easily through a gorgeous frontend made using React.
Challenges we ran into
Form inputs, especially handwriting, are often parsed into non-ASCII characters, which cause many problems downstream in the stack. This was solved using regex filters. Thanks to our mentors from Google for their help!
Accomplishments that we're proud of
A clean, simple to use UI that does its job well. We’re proud to have leveraged document parsing ML to bring value and convenience to medical professionals.
What we learned
It’s really important to build from the user’s perspective. We learned that there are huge inefficiencies in the medical industry, and that it is hard to display verbose data in a clean interface.
What's next for HealthDex
The team is really excited to continue working on the project. Feature-wise, the goal is to implement an ML model that will categorize documents for each patient, which can help reduce clutter. Exporting digital profiles to PDFs, and enabling an option to create private records for each patient are also important. We plan on integrating with existing professional physician associations, and streamline the information sharing within the departmental, national, and international medical community.
Built With
css
firebase
google-cloud-document-ai
html
javascript
node.js
react
Try it out
makepatientrecords.online
tohacks2020-8d7a9.web.app | HealthDex | Eliminating clutter for doctors by helping them move from paper records to digital ones, seamlessly. | ['Jack Hu', 'Jonathan Xu', 'Ricky Mao', 'Yash Dani'] | [] | ['css', 'firebase', 'google-cloud-document-ai', 'html', 'javascript', 'node.js', 'react'] | 143 |
9,892 | https://devpost.com/software/sic-delivery | Main Screen
Presentation:
https://drive.google.com/drive/folders/1A908U1cWqnb0WuNwqJf3W2vEY8gfJbvP
Inspiration
COVID-19 has impacted everyone around the world greatly, especially those who are elderly and are more prone to catching the virus due to various reasons. So, we wanted to give back to the community by lending a hand to those in need, which was how we came up with the idea of creating an app that allows the elderly to purchase their groceries without having to go outside (while reducing the amount of human contact outside and enabling the decrease of the spread of COVID-19), as well as having others who are already out grocery shopping do a good deed during the hard times.
What it does
SIC Delivery is an app that focuses on two main objectives:
1) Providing relief to those that are elderly and are more prone to catching COVID-19 by
2) Enabling a platform to gather those who are going out to buy groceries and are willing to lend a hand to purchase the groceries for the elderly.
How I built it
SIC Delivery was built using Flutter in the Dart programming language to create a cross-platform mobile application. This application features user authentication, such as the ability to sign in and sign out, and the user data is stored in Google's Firebase. In addition, SIC Delivery has its user interface designed in Figma (using the dimensions of an Android) to integrate colour schemes, such as green and orange, to bring a positive and natural vibe to the users.
Challenges I ran into
SIC Delivery has gone through various phrases of ideation and development. One challenge that we encountered was determining what incentive or what could potentially drive people to what to do a good deed and help others purchase their groceries. Another challenge that we ran into was figuring out how to convert Figma to Flutter without having to recreate Figma again in Flutter.
Accomplishments that I'm proud of
One accomplishment that we are proud of is being able to learn how to use Figma, Flutter and Firebase during this 24-hour hackathon. Another accomplishment is how well the design of the app came out as well as how smooth the back-end coding behind it is.
What I learned
Something new that we learned was also one of our accomplishments: learning how to use Figma, Flutter and Firebase during the 24-hour hackathon.
What's next for SIC Delivery
The next steps SIC Delivery will take is incorporating AI into 1) reading the writing of the list that the elderly sends, as well as the receipt and 2) figuring out the total for the payment of groceries.
Built With
dart
firebase
flutter
Try it out
github.com | SIC Delivery | Staying Indoors COVID Delivery | ['Nancy Ngo', 'Jenny Qu', 'Lina Lam', 'Eva Xie'] | [] | ['dart', 'firebase', 'flutter'] | 144 |
9,892 | https://devpost.com/software/testeasy | Inspiration
Amidst online learning, students are faced with a diverse amount of test formats. Professors require a PDF version of their paper exams, but there are a vast amount of students who do not have access to a printer, and must go through a tedious process to create the desired submittable PDF.
In fact, not every single student can afford to buy their own printers or scanners. As students, some of us have faced this problem ourselves and we understand the pain of not having access to a printer. Some people will rely on their public libraries, school libraries and other means to find a way to access a computer. However, this strategy is no longer feasible and applicable for these students. Due to this pandemic, most students are obliged to stay at home unless it is necessary to leave their safe haven.
Questions we considered:
What would happen to students who do not have access to printers or scanners during this quarantine period?
How can students conveniently merge their files to hand it in to their instructors?
Why are we going to let these students lose their opportunity to educate themselves if we know that we should do something about this problem?
Solution
Students won’t have to use multiple platforms to upload their work anymore!
TestEasy is a centralizing program that students can use to upload their work and answers. Students can merge the multiple files that they have uploaded onto the website. Each file uploaded represents one answer to the question.
This web app would also help reduce paper waste and allow students to work on their assignments without the use of a printer.
Aside from that, TestEasy is an accessible and convenient web app that can be used on the web browser of your device.
How We built it
In the beginning, we brainstormed for the functionality of the web app. We also created a name for the website and we designed the website’s logo. We prototyped the web app using Adobe XD as a group.
After planning out the prototype, we started coding the frontend of the website using HTML, CSS and JavaScript.
Then, we hosted our Github repository to a customized domain address called
http://testeasy.tech/
Node.js was also used for the frontend and the backend of the website. After finishing the backend, we connected the frontend to the backend.
Challenges we ran into
In every path, there are obstacles to be encountered. Our team faced difficulties in communicating with each other due to time zone differences.
We’re from Canada and the United States. With the time zone difference, some of us had to compromise by sacrificing our sleeping schedules.
In addition, sometimes the internet connection sucks. It’s difficult to be working on a project during a call with a bad internet connection.
We were pretty much noobs in web development. JavaScript was quite challenging to learn firsthand. So then, we asked for help from a mentor who helped and guided us through JavaScript.
During the beginning of a hackathon, we had a different solution and problem that we wanted to tackle. Due to the time constraint and extensive technical complexity, we realized that our first idea would approximately take about one week to be finished. As a result, we had to pick a more realistic project after 6 hours of when the hackathon begins.
We’ve implemented a dynamic website on our local host, however we did not have enough time due to the time constraint. Therefore, we did not have any more time to create a new website.
However, we did not want time zone differences, sleep deprivation, bad internet connection and other setbacks to hold us back from participating at TO Hacks 2020.
Accomplishments that we’re proud of
One of the accomplishments that we are proud of is our a domain.com
Flexibility → pivoted and changed our project
Website → I learned node.js
Website looks presentable
What we learned
Making a pop up on a website
Git
Node.js
What's next for TestEasy
Improve the design and layout of the website.
Modify lines of code to be able to parse through more than one question.
Next step, host our server where they support dynamic programming languages..
Built With
HTML/CSS/JS
Template from ColorLib
Node.js
What Makes us different from other competitors
The free PDF platform won't be able to overlay with the image on top of that layer.
Ours is customized to help students submit PDF assignments online
Merging full pages of documents together
Built With
adobe-xd
css3
html
https
javascript
node.js
Try it out
testeasy.tech
github.com | TestEasy | printer free assignment submissions | ['Maddie T', 'Arianne Ghislaine Rull', 'Torja Istiaque'] | [] | ['adobe-xd', 'css3', 'html', 'https', 'javascript', 'node.js'] | 145 |
9,892 | https://devpost.com/software/covaid-53hv21 | CovAid Register Page
CovAid Login Page
CovAid Requests Page
CovAid Requests Viewer
CovAid Request Submission
CovAid Home Page
Inspiration
The world we live in has changed dramatically amidst the COVID-19 outbreak. Although some of us are safe at home with the proper equipment, a large portion of the population does not have access to essentials. In analyzing the issue, we realized the immunocompromised currently had no access to essentials as they could not simply leave their houses to go to a grocery store. We decided to provide a solution to this problem by creating a website in which we could allow users to make virtual requests for items, such as toilet paper or hand sanitizer, and then enable volunteers to accept these requests to donate supplies to them. As there is no preexisting platform that allows for direct pairings between users and volunteer deliverers, we believe this is the perfect solution to help those most impacted by COVID-19.
What it does
CovAid is a web application that connects volunteers to those in need during the COVID-19 outbreak using AI-driven intelligence. The website connects at-risk users with volunteers willing to donate necessities. Users can make requests for items to the website and volunteers can respond to those requests. These pairings are created efficiently with a machine learning algorithm that takes into account various factors such as the distance between the user and the volunteer.
How we built it
Through the development of CovAid, we were able to learn how to integrate Flask, JavaScript, and jQuery as our back-end with HTML and Bootstrap together to develop a website from scratch. We used SQL to operate the database of users and the Google API to calculate the miles and estimated time between users. These topics were new to us and we were able to truly learn how to integrate every part together to create a fully-functioning website. In order to perform the matching between users and volunteers, we developed a Machine Learning Neural Network model to sort the requests on a volunteer’s page, as we wanted requests most relevant to the volunteer to show up when a volunteer is searching for a request to accept. We used Keras, NumPy, Pandas, and a Sequential Machine Learning Neural Network model with Dense layers to develop our model before implementing it into our website.
Challenges we ran into
We faced numerous challenges when it came to properly communicating with Flask view and the various HTML templates. Since CovAid is a dynamic site form data had to be sent back and forth between the files and stored in a database. Using a database was something new to all of us and understanding how to integrate it for our needs was a major roadblock for a while. Another major challenge was implementing our machine learning sorting algorithm with our Flask and HTML to sort the requests for each volunteer, since we had to learn how to get live user data to enter into the model.
Accomplishments that we're proud of
We are proud of how we could efficiently push out a website while allowing everyone on our team to contribute equally. After beginning with our entire team working together to create the basic layout of our website, we split up into two teams. Shrey and Atin worked on the front-end and back-end of the website while Anirudh and Aarav worked on the machine learning aspect of the project. We also learned various CS skills while also helping our community at the same time. In addition, we are also pleased that we have created another scenario that AI can help ease our lives. We are excited to see how our project will be able to create opportunities for other people to make a positive impact on their surroundings.
What we learned
In developing CovAid, aside from exploring new software such as Bootstrap and Flask, we fully understood the broader impacts of our project — that any simple act of kindness can be influential, especially to those that are impacted the most from issues like these.
What's next for CovAid
In order to create a real difference in our community we hope for CovAid to be more widespread and have a larger impact on the world. We also want to implement a system in which users are able to be further interconnected. Our vision is that through our product everyone will have access to essentials and will stay safe as our world continues to change from COVID-19.
Built With
bootstrap
css3
flask
google
html
javascript
jquery
keras
machine-learning
numpy
pandas
python
sqlalchemy
Try it out
github.com | CovAid | CovAid is a web application that facilitates deliveries to those in need during these pressing times. The website connects at-risk users with volunteers willing to donate necessities. | ['Atin Pothiraj', 'Aarav Khanna', 'Shrey Gupta', 'Anirudh Bansal'] | ['2nd Place'] | ['bootstrap', 'css3', 'flask', 'google', 'html', 'javascript', 'jquery', 'keras', 'machine-learning', 'numpy', 'pandas', 'python', 'sqlalchemy'] | 146 |
9,892 | https://devpost.com/software/cotracing | Inspiration
One of the largest dangers of Coronavirus is its ability to spread to others without the carrier ever even displaying any symptoms. CoTracing was made to address the current need for precise and efficient tracking of individuals infected with COVID-19 while also respecting their right to privacy. Using Google’s location services and crowdsourcing, our application allows users to check if they have been in contact with someone who has tested positive and subsequently prompts them to contact a medical professional.
What it does
Using location data that the user downloads from Google Takeout, CoTracing goes through all of the locations that the user has visited within a given time period and uses the powerful DCP technology to compare it with a database of confirmed positive Covid-19 patients. If the two are found to have been in the same place within a certain time buffer (which can be adjusted as more research about the longevity of the virus is released) , the user is notified and is then prompted to get tested. As more Covid-19 positive users donate their data, the app gets more and more effective. Furthermore, in order to ensure safety of confidential data, all the processing of data occurs on the client-side. In addition, the patient data is culminated in a heat map that indicates recent locations of COVID-19 patients.
How we built it
Our web app was built using HTML, css and javascript. We started off by creating the graphical user interface in html and css while using javascript to link it to Firebase and the Google Maps API. The firebase realtime-database was used for the anonymous storage of Covid-19 positive patients and we used the Google Maps API for a user-friendly visualization of places that had been visited recently by COVID-19 patients. As comparing a user’s data to all the data of Covid-19 patients is intensive, we took advantage of DCP’s powerful system. With a time complexity of O(n3), this is a perfect demonstration of the technology. In a major city such as Toronto, there are currently 6000 reported COVID-19 cases. With 6k patients each visiting 125 locations a month, you would need to use your 125 locations to make a total of 93.75 million comparisons. Keep in mind that these comparisons need to be run for every user of the website in order to create this ultra-local COVID-19 hotspot map and tell the user if, where, and when they have been in contact with a confirmed COVID-19 patient.
Challenges we ran into
As with all projects, we ran into some challenges while developing our program. Our first hurdle was that while making firebase requests for the location history of positive Covid-19 cases, each request had a small latency associated with it, meaning that over the course of the thousands of requests we were making, there was a large delay. In order to fix this, we instead imported the whole patient database at the start, and then iterated through it. Furthermore, as this was our first experience with DCP, using the service as was intended proved to be a challenge at first, with points where almost none of our code worked. Luckily, through reference to the documentation and the help of Ryan Rossiter at DCL, we were able to get up and running!
Accomplishments that we're proud of/ What we learned
The opportunity to learn more about the emerging technology of distributed computing was very exciting and as we knew we had a good use case for the protocol, we were even more motivated. Through this project, we were able to learn how to integrate the technology within a full web app and we are quite proud of its performance, exceeding what we were expecting from a proof-of-concept implementation. We genuinely feel that DCP is a very unique technology and we were astounded by the performance benefits. It allowed our app to efficiently scale to comparisons of hundreds of patients, because it distributes the tasks to many devices on the network.
In addition, we were quite proud of our implementation of the google cloud API’s. Through the workshops, we have learned how relevant and ubiquitous google cloud products were. For this reason, we decided to learn more about them and integrate them into our web-app. We feel that the success of the google cloud API’s can be attributed to their universality and relevance to programmers. It is for this reason that all of us were very eager to learn how to implement these products into our projects.
Finally, we were proud of our user-friendly and quite relevant web-app. Although we have all learned the typical web development languages (HTML, CSS, JavaScript), most of our team members have not made a web-app that was this unique and relevant to current issues. In addition, we were quite proud of the ease of use and accessible interface that we created. During the process, we have learned the ups and downs of full stack developers. As high school students and aspiring software engineers, we felt that this web-app was a great way to get our feet wet in the full stack development world.
What's next for CoTracing
We found the process of making CoTracing very rewarding and therefore look forward to continuing to develop upon the product we have created in this short amount of time. The main optimization for the foreseeable future would be to determine general location trends for each user and making clusters of users, thus reducing the amount of testing that needs to be done. Additionally, a machine learning algorithm could be implemented to detect trends among the users of the service, and to detect hotspots of transmission to avoid. Finally, our goal would be easier submission of personal data. Instead of manually submitting a location history JSON file, the ideal interface would automatically query user data, possibly from a mobile app, at the click of a button. We feel that these goals are quite feasible as we continue to develop CoTracing in the coming weeks.
Built With
css
dcp
firebase
gcp
google-maps
html
html5
javascript
smtp
Try it out
keep6ftof.space
github.com | CoTracing | Automated, Crowdsourced, easy-to-use COVID contact tracing. | ['Sean Gordon', 'Dhyey Mehta', 'George Shao', 'Ernest Wong'] | [] | ['css', 'dcp', 'firebase', 'gcp', 'google-maps', 'html', 'html5', 'javascript', 'smtp'] | 147 |
9,892 | https://devpost.com/software/webuzz-community-networking-tool | Inspiration
We were inspired by the situation of social awkwardness where everyone has something to share yet struggling to find the right audience.
When we first enter university, it is pretty much our first interactions with people that determine our first friend group. Yet if we have the whole community in front of us and free to browse activities that interest you, you can go and find new people to talk and meet up.
What it does
It connects everyone in a community (can be EVERYONE in a university)
For event initiator: posting on the activity board and wait for people to join you. You would automatically have a chat made for you that would have an expiration period of time that the event initiator can change. Once the activity is done the chat can be deleted by the event owner. (so when the activity is over, it is assumed that people will have added each other on Instagram and Facebook already).
For people looking for things to do: they can search the activities by tags or names and join.
WeBuzz is much spontaneous and is very activity-based. To do something fun, you don't have to apply for a club and go through the long approval process, it gathers people with the same passion and interest together to do something fun.
How I built it
We brainstormed using Miro as a rough draft
We built it mainly on glide by manipulating data on a google sheet.
Challenges I ran into
Learning a new app tool within a short span of time
Implementing ideas into the features of the app
Glide doesn't support multiple user collaboration, thus a clear delegation of the task is necessary.
Accomplishments that I'm proud of
Clear articulation of the idea in the beginning of the hackathon earned us time later to develop features of the app
Being able to find Glide as a tool and see the actual progress of building an app
Being able to adapt to the functions that glide offers and adapt our features to suit the interface of glide
All of us are very passionate about the development of this app
We balanced our time and had some rest during this hackathon!
What I learned
Mindmapping and flow charts can be very useful in explaining ideas
There are many tools out there to making the innovation progress easier, thus learning the tools can be essential
Communication is the key to ensure everyone is on board and know how the app works
What's next for WeBuzz Community Networking Tool
We are really confident in our application's versatility. Hopefully, given more time and resources, we can implement some of the features we would've otherwise like our application to have, such as group chats, join button, as well as a home tab (see video for full details)
Built With
glide
googlesheet
Try it out
webuzztohacks.glideapp.io | WeBuzz Community Networking Tool | Unlock New Activities with New People | ['Molly Lu', 'Jennifer Choi', 'Stephanie Nguyen', 'Zaid Alsaigh'] | [] | ['glide', 'googlesheet'] | 148 |
9,892 | https://devpost.com/software/geriatric-dashboard | Independent pre-arranged dashboard mock up
Semi-independent pre-arranged dashboard mock up
Dependent pre-arranged dashboard mock up
Here's our
GitHub
!
The current COVID-19 pandemic has created a situation in which elderly people are both isolated and increasingly anxious about their health. Studies show that isolation is associated with depression, anxiety, cognitive decline and decreased self-worth and sense of purpose. Many of the technologies that younger generations are using to connect during the pandemic are inaccessible to this population. As a result, we’ve designed a webpage for seniors that is customizable by their caregivers. This ensures that all seniors, regardless of their technological capacity, can access the necessary resources they need in a socially distant manner.
Our webpage provides a customizable dashboard or 3 pre-arranged dashboards for the caregiver to choose from. For the customizable dashboard, the caregiver can choose one of the layouts provided and add the apps they think would be beneficial to the senior. The 3 pre-arranged dashboards are:
Independent. This is for a senior that is mostly independent and relatively tech savvy.
Semi-independent. This is for a senior that is less tech savvy.
Dependent. This is for a senior that is not comfortable with technology and/or is dependent on a caregiver.
Our website was built in HTML, CSS, JavaScript, and PHP. Currently, we only have a dashboard for the pre-arranged independent option. Some improvements we'd like to make our website include:
Making the dashboard fully customizable by allowing for dragging and dropping of the apps/modules;
Completing the pre-arranged dashboards for semi-independent and dependent seniors;
Implementing WAI-ARIA standards to make the user side more accessible for individuals with visual, cognitive, or other impairment; and
Creating pop-up reminders for medication and exercise.
Built With
css
html
javascript
php
Try it out
www.geriatricdashboard.xyz | Geriatric Dashboard | We’re designing a webpage for seniors that is customizable by their caregivers to help them stay connected | ['Rhiannan Pinnell', 'Terrence Chan'] | [] | ['css', 'html', 'javascript', 'php'] | 149 |
9,892 | https://devpost.com/software/papure-2tpv60 | paPURE Setup - Angeled View - Utilizing Snorkeling Mask
paPURE Setup - Front View - Utilizing Snorkeling Mask
paPURE Setup - Side View - Utilizing Snorkeling Mask
paPURE Setup - Back View - Utilizing Snorkeling Mask
Original Prototype of paPURE Design View
paPURE Base - Top View - Inserted Compressor Fan and Fan Shroud
paPURE Base - Top View - Empty
Abstract:
The Filtrexa paPURE is an affordable, 3D printed powered air-purifying respirator (PAPR) that provides our healthcare providers with better protection than even N95s, especially in high-risk and confined environments (E.g. ICUs, ERs). It incorporates readily available components and can be easily manufactured locally. We can thus increase accessibility of PAPR technology by enabling hospitals to produce and purchase it as per their need, optimizing the 3D-print to produce it at a cost that is over ten times cheaper than PAPRs currently offered on the market, and using exchanging highly specific components for readily available and affordable components. The Filtrexa paPURE also has made design changes to improve comfort, ease of use, and longevity of PAPR technology.
Introduction
One of the most immediate and impactful effects of the COVID-19 pandemic are global shortages of proper personal protective equipment (PPE), forcing healthcare providers (HCPs) to consistently work in high-risk environments and unnecessarily place their own lives at risk. Our product is a powered air-purifying respirator (PAPR) that creates a positive pressure field with filtered air to protect frontline healthcare workers from airborne threats such as SARS, TB, measles, influenza, meningitis, and most immediately COVID-19. This technology improves upon current PAPR devices in terms of cost-efficacy, ease of access, and ease of implementability. Our solution not only serves to combat general PAPR shortages across the country, but also eases PPE shortages that arise from COVID-19 and future patient surges through an on-demand 3D printing process.
Value Proposition
Powered, air-purifying respirators (PAPRs) are currently the gold standard in medicine when treating patients diagnosed with COVID-19 and other highly infectious respiratory diseases[1] due to their positive pressure system. This system filters air extremely effectively before it reaches the airway. However, this technology package is costly, often totaling over $1800[2] and requires highly specific components which are currently in short supply. Both well-established hospitals such as the Mayo Clinic (with a ratio of 4500 physicians to 200 PAPRs)[2] and smaller county hospitals such as the Hunterdon Medical Center (where not a single PAPR is available to physicians) are facing critical shortages of personal protective equipment (PPE). Evidently, the aforementioned barriers render PAPR technology inaccessible to most frontline HCPs, leaving them far more vulnerable to infection.
Alternatives to PAPR technology include N95s, surgical masks, and currently, homemade masks due to a worldwide shortage of PPE. Although they provide a barrier against aerosols, standard and surgical N95s are easily compromised with an improper fit and have an assigned protection factor (APF) of ten[4], while PAPRs have an APF of 25 to 1000, rendering PAPRs far more effective at protecting HCPs. Additionally, physicians tend to prefer PAPRs over N95s because PAPRs are reusable, easier to breathe through, do not require fit testing, and make them feel safer[1][5].
Our Solution
In order to provide purified air to those in the most high-risk environments, we have developed a novel, inexpensive, and accessible PAPR device that is both lightweight and 3D-printable within 24 hours. Printed using readily-available filaments (e.g. PLA, ABS), paPURE is mounted to the user’s hip and assembled via on-hand motors and batteries. (See Appendix 2.5).
Through PAPR technology, HCPs are given access to filtered positive pressure air systems (in which airflow serves to seal any gaps in masks, as well as reduce respiratory fatigue in HCPs), drastically decreasing infection risk in areas such as ICUs and ERs.
Our device’s customizability allows for interoperability with existing masks, filters, and hosing (See Appendix 3.1), enabling hospitals, or possibly surrounding hobbyists/machinists (regulatory dependent), to produce PAPRs for their physicians and nurses. For images and procedures: See Appendix 1 and 2.
The system features a dual battery set-up that allows HCPs to utilize one or both batteries independently, as well as swap out batteries while the device is in use (such as during an extended patient procedure that a physician cannot leave from). Additionally the belt system, with the fan/chassis on you lumbar and 2 battery on ports on both hips gives a better weight distribution for improved comfort in extended usages (such as a surgeon leaning in an awkward position during the operation). The use of an inline filter means that air is pushed into a filter at the end of the device, as opposed to regular PAPRs that pull air through filters. This setup means that the risk of an imperfect seal compromising air quality is virtually nullified as no negative pressure system exists after air filtration in our device. Additionally, the aforementioned inline filters are better at filtering biological particles without disturbing airflow than standard P100s and are already used extensively in anesthesiology and respiratory care departments of hospitals across the country.
After printing the device’s chassis and shroud, integration with an inline bacterial/viral filter, housing, and masks will be followed by on-site fit and efficacy testing to ensure proper device assembly.[6] Then, an HCP would don their mask, clipping the paPURE chassis and two smart power tool batteries to a provided utility belt, and connecting to the mask via a hose. At most, we expect equipping paPURE to add 1-3 minutes to a medical professional’s routine and greatly improve safety and comfort.
An Improvement from Traditional PAPRs
Our technology eliminates the need for a middle-man manufacturer. Because the only required components are readily available to hospitals and clinics, hospitals can produce the device as per their need. We anticipate working with local 3D-printing facilities to produce and assemble the product, then to distribute the Filtrexa PAPR to hospitals. Physicians and NIOSH officials (most notably Richard Metzler, the first Director of the National Personal Protective Technology Laboratory at NIOSH), have already given us promising feedback regarding the need for this technology, and we are looking into potential partnerships with PPE developers and/or motor manufacturers. Some hospital purchasing experts have additionally communicated a need for affordable PAPRs. Our solution is over 10 times cheaper than current PAPR technologies ($155; see Appendix 2, Figure 2), increasing likelihood of adoption. To allow smaller hospitals to easily obtain our technology, we plan to raise awareness of our business through phone calls and emails to hospitals throughout the country.
Implementation Plan
paPURE’s solution is implementable almost immediately. The main barrier between our tested prototype and implementation is FDA/NIOSH approval (FDA EUA Sec II/IV Approve NIOSH Certified Respirators). We have also identified conditions that will allow us to expedite the regulation and roll-out of the production (such as the IDE and 501(k) pathways suggested to us by regulatory experts).[15] Because our device is based on existing PAPR technology, this predicate nature in combination with existing precedents for 3D-printed medical technology, can help expedite its deployment.[16]
Our technology minimizes the need for a middle-men. We are partnering with regional additive manufacturers to allow for quick, standardized, yet still decentralized production of the device. The only required components are readily available to hospitals and clinics, allowing HCPs to produce the device as per their need. Additionally, if regulatory approval permits, we may utilize local schools/universities/hospitals with on-site 3D printers in order to allow for fully decentralized manufacturing. After NIOSH Approval, our device (and depending on regulatory guidelines, possibly our CAD file) will be sent to those with 3D printers available, who could print and assemble the device (See Appendix 3.1).
Players involved in the production of this technology would be hospital assembly workers, but the design is easily assembled by anyone (the only limitation being that assembly be done under a fume hood to prevent contamination). Physicians we’ve already talked to have given us promising feedback regarding the need for this technology. We are currently looking into potential partnerships with PPE developers (See Appendix 3.2) and/or motor manufacturers. Our solution is over ten times cheaper than current PAPR technologies (See Appendix 3.3), increasing the likelihood of adoption.
Due especially to the length of this health crisis, hospitals are facing dire shortages of PPE. This has accelerated our timeline, but we are confident that it is feasible given the current state of emergency (See Appendix 3.4).
Since this product has yet to be implemented in hospitals, we are writing to you today to gauge your interest in paPURE. Additionally, any feedback you have relating to our product or interest in helping us with laboratory testing of paPURE would be greatly appreciated.
We anticipate our project to reach full fruition within 6-12 months. Our timeline is as follows. Our second iteration of prototyping for clinician testing will conclude in 2-3 weeks, followed by initial clinical testing, which will finish in around 1.5 months. As soon as clinical testing is finished and the product is validated, we will submit our product officially to NIOSH for regulatory approval. We anticipate receipt of regulatory approval within 1.5 months from submission. After approval is obtained, we will also apply for either a provisional patent or copyright, depending on legal advice. Within 1-2 months after regulatory approval, we plan to roll out our product to hospitals via centralized 3D-printing. During the next 1-2 months, we will continue to iterate and optimize the product. Official hospital rollout, with multiple 3D-printing partners and company partnerships, will occur around a month later. This will be around 6-7 months from now. As seen, our timeline is aggressive as we wish to equip healthcare providers with PPE as soon as possible. The prior goals mentioned in our timeline are our key goals and objectives for the project at this time.
Current Testing and Partnerships
Technical Testing is being carried out at Filrexa's primary residence and at Johns Hopkins University and includes analysis of airflow data, battery life, and filtration efficacy. For clinical testing, we already have established connections for clinical testing with both Johns Hopkins Medical Institute and Stanford University. In regards to business-focused assistance, we have also partnered with FastForwardU for advising regarding intellectual property protection, strategic marketing, and clinical networking.
Planned Partnerships
We plan to designate one 3D-printing company (current candidates include Xometry, Protolabs, Cowtown, and Health3D) as our manufacturer during our initial launch into the market, but will continue to partner with additional 3D-printing companies as our business grows. Due to our unique manufacturing approach, all hospitals, regardless of their size, will be able to order and quickly receive PAPRs, lowering the impact of the current shortage. In order to supply the auxiliary materials such as motors, batteries, and more, we plan to initiate company partnerships with large corporations such as 3M, Dyson, Black and Decker, GE, Cuisinart, Hitachi, Makita, Shop Vac, Hoover, Bissell, Shark, iRobot, and Bosch.
Additional Video
https://youtu.be/iFMtzt52BEQ
Appendix and Citations
Click here!
Website
paPURE Website
Built With
3dprinting
cad
cpap
p100 | paPURE | paPURE is a hospital accessible PAPR Technology utilizing 3D printing and readily available hardware to give healthcare's frontline the gold standard of personal protective equipment right now. | ['Sanjana Pesari', 'Hannah Yamagata', 'Sneha Batheja', 'Joshua Devier'] | ['2nd Place Overall Winners', '1st Place', 'The Wolfram Award', 'The Best Business Idea', '3rd Place Hack', 'Best COVID-19 Hack'] | ['3dprinting', 'cad', 'cpap', 'p100'] | 150 |
9,892 | https://devpost.com/software/l-hopital | Inspiration
Inspired by the medical response to the COVID-19 pandemic.
What it does
Maps hospital availability across the United States.
How we built it
We used a Flask web application
Challenges we ran into
Linking MongoDB to Flask
Teammate started gaming half-way through??
Accomplishments that we're proud of
Being able to link a database to Flask
What we learned
MongoDB
Flask web application development and API calls
Python pandas data analysis and manipulation
What's next for L'Hôpital
Get access to real-time projections/data in order to display hospital bed availability in real-time.
Built With
flask
github
google-maps
mongodb
pandas
python | L'Hôpital | Maps hospital availability throughout the United States during the COVID-19 Pandemic. | ['Sharif Natheir', 'NatheirX Natheir'] | [] | ['flask', 'github', 'google-maps', 'mongodb', 'pandas', 'python'] | 151 |
9,892 | https://devpost.com/software/medix | Homepage 1
Homepage 2
Map on the website
MediX Logo
MediX is a web application that helps patients find and receive the medication they need while maintaining Social Distancing during and post COVID19.
Inspiration
Social Distancing is constantly brought up to help in flattening the curve. This social issue is not only important now but will be extremely important post COVID19 to help reduce the risk of spreading the disease even more. Currently, we're only allowed to go out for essentials but it should be noted that we need to look at other solutions to improve social distancing.
This is when we turned to drone delivery as an option. It's currently growing as an option for delivery as we become more remote and the demand for delivered goods increases. To ensure the health and financial well being of those during this time, we created a service which tracks the closest locations to get delivered medications so that costs are kept low and social distancing is improved.
What it does
As quoted on our homepage:
Input: The user inputs the name of the medication they are looking for
From here, our application:
uses the user's location and finds all the closest "hubs" (Pharmacies and Doctor's Offices)
checks each closest hub's quantity of the named medication and finds if they have it in stock
if there IS the medication in stock at that hub, the website offers the user an option to pickup or deliver the medication
gets the route of the person's current location to the hub's location so that they can pickup/track their medication
Output: Map of route of the tracked delivery or pickup
How We Built It
Used the Google Map APIs to display a map on our webpage. Used Django to build the framework of the website using HTML, CSS & Javascript for front-end and Python as back-end. Used Visual Studio Live Share to collaborate on code and Figma to plan the design for the website.
Challenges We Ran Into
Correctly implementing the directions API with our map, integrating our back-end code with the front-end effectively and fully deploying with the domain
Accomplishments that We're Proud Of
Deploying at least one API in our application and learning how to use Google Cloud as a hosting server for our website
What We learned
All the great API tools in Google Cloud, using Django to make a web application and tools to help collaborate on code
What's next for MediX
Collecting a larger database of locations and quantities of medications around the world, improving the functionality of our web application
Other Notes
Credit for photos from Unsplash
Built With
css
django
html
python
Try it out
medi-x.tech
github.com | MediX - Remote Delivery of Medications | Ease the delivery of needed medications by providing cost efficient pickup and delivery options | ['KhalilJDamouni', 'Vuk Kliska', 'Chloe Quijano', 'AdhamRagab25'] | [] | ['css', 'django', 'html', 'python'] | 152 |
9,892 | https://devpost.com/software/nutrifacts-9pt8j7 | Log in view!
Sign up view!
Here's our welcome page that you'll see after logging in or signing in!
Your data from the nutrition label
Activity on Firebase
Authentification
Checking out our users
Webpage
https://www.nutrifacts.tech
Inspiration
There are many apps nowadays that measure caloric intake but it's a struggle to analyze the intake of other vital nutrients such as vitamins and protein. Luckily, we have a solution...and that is an app that scans nutrition fact labels and displays a dashboard containing your daily intake to make sure you're eating healthy and getting the appropriate nutrients.
This is especially beneficial while being indoors during quarantine where we're more susceptible to binge eating out of boredom. However, this is can also transcend further as a lifestyle change, so it's more than just another app. It also allows for mindful consumption of food, which lends itself to the amount of money that you spend on outside food and such.
What it does
Scan and go.
It's a clean way of taking in the information in a really simple manner and displaying this data through pie charts. This helps the user see exactly what they need to see when it comes to healthy eating. Their consumption of micro nutrients is a vital part to a health and active lifestyle. You're able to see your intake on a daily basis, and for each scan the pie graphs containing your data will update.
All you do is scan the nutrition label, and the app automatically calculates and puts together your nutrient intake percentage daily value.
How we built NutriFacts
We used the following:
Google ML Kit (Text Recognition (OCR))
Google Firebase
Google Firestore
Swift
HTML/CSS
JavaScript
NutriFacts is an iOS app built in Xcode with Swift.
Challenges we ran into
Using the ML Kit was a difficult task, especially when it came to handling information in a new environment like iOS development. Sometimes version control isn't the kindest, but resilience is key in debugging those merge conflict errors. Trying to implement firebase authentication proved a little difficult as the docs said one thing whereas Xcode would ping another requirement that contradicted the docs.
Accomplishments that we're proud of
The team is first and foremost most proud of our ability to come together rather quickly, and remotely too to create a very well designed and thought out implementation. All of us are extremely new to iOS development, and being so, picking up Swift and being able to maximize its potential in such a short time span was an extremely strong point. More than that, we adjusted well to each other being able to rotate between tasks and split ourselves in a way that would support each other. This is extremely important considering that we're a three person team whereas most teams are four people. Finally, our team would take meaningful breaks together!
What we learned
How to build an iOS application in less than 24 hours that makes use of Firebase Authentication and it's ML kit. We learned how to properly use version control in a team setting and fix merge conflicts, and also to rely on each other while being efficient.
What's next for NutriFacts
Hopefully deploying this app on the App Store! Creating some branding around this product (creating social media accounts to get the name out there). Get our friends to use it during quarantine! Expanding it to a search for foods that don't necessarily have a nutritional food chart, this can also be done using google's image classifier, and their preset models!
Built With
cloud
firebase
google
ml
swift
swiftui
uikit
visionkit
Try it out
github.com | NutriFacts | An innovative way to monitor and analyze your health by scanning nutrition labels! | ['Vardan Sawhney', 'Iris Chen', 'Denis Tatar'] | [] | ['cloud', 'firebase', 'google', 'ml', 'swift', 'swiftui', 'uikit', 'visionkit'] | 153 |
9,892 | https://devpost.com/software/jobminer-k8759r | Inspiration
blah
What it does
blah
How I built it
Still in Progress
Challenges I ran into
blah
Accomplishments that I'm proud of
blah
What I learned
blah
What's next for JobMiner
blah | JobMiner | a website that helps you find software engineering jobs and find your ideal mock interview partner! | ['Jerry Tan', 'Parth Sareen', 'Liying Liang', 'Ashanth Ranjith'] | [] | [] | 154 |
9,892 | https://devpost.com/software/freedom-shopping | Logo
Logo
DOMAIN NAME: Freedomshopping.tech
Inspiration
For the inspiration aspect of this project, We got the idea from the chaos in grocery stores that the coronavirus has caused and everyone complaining about the shortages of food in grocery stores, along with basic necessities such as toilet paper, fresh food, and toiletries. Thus, we had the right idea, all we needed to do was build it.
What it does
This project makes going to grocery stores less of a hassle. Users could pay other users that are currently heading to a grocery store to pick up groceries from a shopping list. It is designed to increase social distancing, at the same time getting the essential items delivered to you for the pandemic. As of this, it gives peoples jobs by allowing them to shop for others in their community. Once one of the people going to the store picks a shopping list from our system all they have to do is get and drop it off at a pickup point (such as a community mailbox) that is close to the buyers' home.
How I built it
The UI frontend is made in Adobe XD, the backend for the web app is made using the Flutter framework and Dart language. The login will be stored in Google Firebase.
Challenges I ran into
Dart Language is both frontend and backend, it is hard to use an interpreted language to position widgets on a website, we were at start figuring out how to import pictures and font assets to our project. This is our first time using a brand new framework to build everything in a short amount of time. Flutter is controlled via command line in the terminal, flutter environment path gets removed upon the restart of the terminal. Flutter won't run and test our project, and we ran into Localhost issues, that our flutter refused to connect to our localhost, which delayed our testing of the app.
Accomplishments that I'm proud of
We have complete so much within a small amount of time. We showed good teamwork, with jobs evenly distributed among our team members. We were able to work efficiently in the time period given.
What I learned
The Flutter framework was new to our group, as well as the language that goes with this framework, Dart. We have learned using Google Firebase to let the users login with their existing accounts.
What's next for Freedom Shopping
We will get more users to sign up and start using our platform for grocery shopping while staying indoors. Freedom Shopping will have a build-in currency to add directly from the user's bank account. We also want the grocery stores to participate in our app by donating real-time data such as price and availability. Our backend developer will add chat features so that the buyer and the delivery person could communicate directly within the fastest time.
Test
Please read README.md on our GitHub Repo.
Built With
adobe
dart
firebase
flutter
html
xd
Try it out
github.com | Freedom Shopping | A platform for users to buy groceries for each other in a contact less way. | ['Sohil Athare', 'Andrew Yang'] | [] | ['adobe', 'dart', 'firebase', 'flutter', 'html', 'xd'] | 155 |
9,892 | https://devpost.com/software/covtrack-hyc4o0 | Inspiration
Our inspiration comes from the current COVID-19 pandemic which has brought the world to a standstill. Currently, the United States has the largest number of cases, however, a few months ago, South Korea had one of the highest cases. The way they were able to solve their problem was to use location-tracking devices to track people who break quarantine.
What it does
Our app, CovTrack takes inspiration from South Korea and evolves it to keep people from places where patients with the virus or symptoms of the virus have moved around recently. The app will send an alert to people in a predetermined area if a person with symptoms has crossed by a street. To combat privacy concerns, the tracking will be kept anonymous and will not allow others to see the patient's actual location just a warning zone.
How I built it
Our app was built using Android-studio IDE with Java being the main language used to build CovTrack. We also used Google's API in order to implement google maps as a part of our UI.
Challenges I ran into
Some challenges that we ran to was trying to set up the location tracking for the project. We were new at using real time location tracking so we had to learn from scratch how to set it up and get it working for our demo.
Accomplishments that I'm proud of
Since this is our first hackathon, we are proud of the fact that we managed to complete what we sought to accomplish with our app within the given timeframe.
What I learned
What we learned from this project was how to implement google maps into Android Studio and how to use it. We also learned how to program more efficiently and learn how to manage our time well as this was our first hackathon and we had to manage our time well because we had limited time to complete the project.
What's next for CovTrack
Our next steps for this app would be to implement better UI designs to make it more user - friendly and under the hood security features to reduce privacy concerns. Additionally, we would add server-side functionality to allow the capacity of many more users and a login connection with doctors and trusted government officials to input and change the status of users to understand who has symptoms of coronavirus.
Built With
android-studio
google-maps
java
Try it out
github.com | CovTracker | Tracking movements of COVID-19 patients to control the spread. | ['Andrzej Bag', 'Chris Tran', 'Angelo Truong', 'Andrew Ngov'] | [] | ['android-studio', 'google-maps', 'java'] | 156 |
9,892 | https://devpost.com/software/kidsagainstcovid | Homepage of our website
Modelling created based of our program simulation
About page on our website
Simulation page on our website
Tips to learn to stay healthy!
Example data generated through our program
Inspiration
During these unprecedented times, it is often difficult to understand why we need to stay home, especially as a young child. As a result, we created KidsAgainstCovid to teach younger children about the importance of social distancing through a fun simulation!
Check out our project at:
http://www.fightingcoronawith.tech/
What it does
Our program models the impact of social distancing and quarantine in Toronto using dots. You can change the simulation by adjusting the different factors.
How we built it
We built this project using Javascript, HTML and CSS.
Here is the link to our Github!
https://github.com/catrionachan/KidsAgainstCovid
Challenges we ran into
Building the simulation using Javascript.
Accomplishments that we're proud of
Creating an awesome website, awesome domain, and accurate data prediction/modelling. We created a program that can predict the infection rate and patterns using current data for Toronto. We even used typical household data to see the typical number of people per household in Toronto.
What we learned
We learned how to use current infection algorithms and implement them into a simulation. We also learned various Javascript functions for the first time.
What's next for KidsAgainstCovid
More interactive games and fun content!
Built With
dcp
javascript
Try it out
www.fightingcoronawith.tech | KidsAgainstCovid | Teaching kids the importance of social distancing through fun simulations! | ['Jonah Walker', 'Jenn Dryden', 'Catriona Chan', 'Ishani S'] | [] | ['dcp', 'javascript'] | 157 |
9,892 | https://devpost.com/software/technology-redistribution-program | Inspiration
As the world struggles with Covid-19, certain problems which previously existed are being brought to light, and are becoming more significant. One of these problems is the so-called “Homework Gap”. The homework gap is a term used to describe the situation where certain students may not have access to technology at home, and therefore are unable to complete their homework to the same extent, or do as well as their peers with readily available technology at home. We are attempting to shrink this homework gap, and find a way to put technology in the hands of people who need it.
What it does
Many of us have old devices lying around. As I am sitting here I can see a 7 year old tablet and an ancient computer which I am keeping in a drawer. We realized that perhaps this problem is not a problem of not having enough technology, but perhaps it is not properly distributing the technology.
We are working on a way for people who need technology to connect with people who have old technology they don’t need anymore. Many people choose to upgrade their devices not because it doesn’t work, but because it has a few inconveniences. Examples would include a short battery life, weight of the device, and or simply that it has become too slow. These computers are still usable, and can greatly help someone who needs it, so we plan on redistributing these abandoned computers to people who need them!
How we built it
We are working on building a website which will allow users to input their information, and select whether they are offering a computer, or need a computer. They will fill out a quick survey, indicating what they will use the computer for, or which computer they are offering, and an algorithm will match people who need a computer to the people who have a computer to give.
To build the front end of the website, we used a free HTML template we found online, it ended up very heavily modified. Credit is given to the designer of the template at the bottom of every page on our website. Using this basic framework we subbed in our information and added the functionality we needed (extra buttons, and so forth).
For the back end we hosted it using Google Firebase, and built a simple database which will be used to store the information from the people who want to donate a computer, and compare it to the people who need a computer, to find a match quickly and effectively.
And for the domain name we registered it with domain.com! We our domain is redistribute.tech. It may not be working yet, so the other way to access it is sharetech.web.app (sharetech was the original name, before we fond 3 other projects called sharetech on the internet).
Challenges we ran into
It was more complicated then we thought! Like way more. We started the hackathon worrying it wouldn't be complex enough, but ended up realizing we have a lot to learn! It is good. I don't think we did anything that worked the first time, which is challenging, making it difficult to stick through with it, but we made it!
The website still doesn't fully work, we are missing elements like the email contacting, and the website goes down every now and then, but it is a lot closer then we though possible about half way through.
Accomplishments that we're proud of
We are very proud of every thing we accomplished! A lot of us knew how to build things theoretically, but doing it in practice, in 24 hours is a lot more difficult. And yet we still succeeded! It is really cool to see how far the project came.
What we learned
We learned that things sound easy when you talk through them, but very often they aren't as easy as we think. So expect things to take longer, and be harder then you expect!
We also learned a lot about different ways to share code virtually, google cloud, firebase, javascript, databases, data structures, HTML, CSS, and basically every element of this project.
What's next for Technology Redistribution Program
At the moment, we do not have any plans. If the idea is popular with people other then us, we will possibly look into implementing it. Before that happens though, we will be getting in touch with social workers, and other organizations who work with the people we are aiming to help, and work on making our system work for them, and refining the process further.
Built With
css
firebase
html
javascript
websitetemplate
Try it out
redistribute.tech
sharetech.web.app
github.com | Redistribute the Tech | A website which helps take old technology out of people's drawers, and put it in the hands of people who need it | ['Dhruv Rawat', 'Nanik Adnani', 'Vithun Vigneswaran', 'Ellis Shang'] | [] | ['css', 'firebase', 'html', 'javascript', 'websitetemplate'] | 158 |
9,892 | https://devpost.com/software/zunelectures | 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.
Upload your video with your login ID.
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 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. | ['Karl Zhu'] | [] | ['azure', 'css', 'google-cloud', 'html', 'javascript', 'mongodb', 'node.js', 'react', 'speech-to-text'] | 159 |
9,892 | https://devpost.com/software/text-me-maybe-h5j2dk | Inspiration
During Covid-19 when loneliness is at an all-time high with stay-at-home orders, what if you could make new friends who do not speak your language.
What it does
The end user will fill out a form for a phone number and a message. Using whatsmate translation api and the twilio sms api the application will translate a text from English to French for the recipient.
How I built it
I built this in Java/Spring
Challenges I ran into
I had an issue getting Google Translate API to function correctly with Java.
So I switch to a different one, however, it couldn't send messages in Japanese like I had originally planned so I switched it to French...and literally everything else writing a web application in Java. It's something I'm still learning.
Accomplishments that I'm proud of
I mean, I made an application in a framework that I have had very little experience with.
And all the API's are working.
What I learned
That I miss creating applications in Rails. Just kidding. So much, I can see the power of using Spring for creating fast applications, there's just so much that I didn't realize was different in design patterns vs creating the same design patter in Ruby/Rails.
What's next for Text Me Maybe
I tried deploying to Google App engine to no avail. Will have to work more on it. It will have to be localhost for now ;)
https://textmemaybedeploy.ue.r.appspot.com/
Built With
gcp
google-cloud
java
spring
Try it out
github.com | Text Me Maybe | Send translated SMS to Pen Pals | ['Richard Rosenthal'] | [] | ['gcp', 'google-cloud', 'java', 'spring'] | 160 |
9,892 | 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'] | 161 |
9,892 | https://devpost.com/software/consultable | logo
Inspiration
During the COVID-19 pandemic, the extent of misinformation being spread over social media has become apparent. Many news articles are being shared without their validity being questioned. This has resulted in extremely unsafe behaviour such as drinking hand sanitizer to rid oneself of the virus or injecting bleach into their bloodstream.
What it does
Consultable is a website that provides a ranking of how trustworthy a website is. It then provides other sources about the same subject so that the user can learn from various reputed sources about the same subject and feel confident in the information they share.
How we built it
The back end database is implemented using Google Firebase and processing is completed using python3 and the goose3 library to scrape articles for important information. The front end is made with Flutter.
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for Consultable
Built With
css3
firebase
goose3
html5
javascript
python | Consultable | Let’s find out how reliable that article really is with Consultable. | ['Moksha Srinivasan', 'Soorya Saravanapavan'] | [] | ['css3', 'firebase', 'goose3', 'html5', 'javascript', 'python'] | 162 |
9,892 | 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'] | 163 |
9,892 | https://devpost.com/software/safescan | Designed Logo
Login Screen based on Firebase API
Registration Screen based on Firebase API
Pre QR-code interface showing some WHO tips to protect yourself and others
QR Code Scanning Interface
Inspiration
The inspiration for SafeScan was all around us. On every little foray made outside, there were obvious hesitations in being forced to interact with surfaces such as door handles, elevator buttons, and other high-contact surfaces in public places. We decided to sit and brainstorm a way to be able to continue everyday life without needing to worry about this newfound fear of touching and interacting with contaminated surfaces. We felt that using technology, we could mitigate some of the methods of transmission for COVID-19 and decided that a contactless entry system reliant on accessibility door motors would be extremely beneficial for the general public while navigating these difficult times and still finishing their everyday responsibilities.
What it does and why it does it
We now live in a world that is greatly distressed by the COVID-19 pandemic. Highly dangerous virus strains are now spreading rapidly through places of high contact such as public doors like malls, schools, hospitals, etc. With the use of new cutting-edge technology, the user will now be able to minimize contact with these doors by using our new application called the SafeScan.
Using SafeScan, users can authenticate their accounts to gain access to private entry buildings with no contact required, while also using the QR scanner in the app to open public building doors, as well as private entry doors without having to grab or touch the door handles. By using existing
Firebase authentication
on both the front and back-end, the entire system is designed to provide safety for both users and building owners by encrypting their data and securing them from attacks designed to scrape keys to manipulate different environment triggers.
How we built it
We initially started development and split our team into two parts, one side focused on developing the user application for Android and the other side focused on implementing the backend for QR code generation. The Android side focused on developing the UI and front-end experience while implementing novel Firebase features such as authentication that can quickly be adapted into an Android app. After creating the account creation and user login portal, we linked successful logins to the Google Cloud Vision API-based QR code scanning system that quickly reads the QR code and accesses the online generated key required to trigger the operation mechanism. This QR code is a randomly generated access link based on a Web Server, upon access which triggers the hashing authentication process.
On the back-end of this process, a Python script was used to generate hashes sent to the Firebase servers and to the local Arduino system that was operating our example object, a cardboard door. This script is operated on a timer to generate a hash list, similar to a concept based on Valve's Steam Mobile Authentication system. This list of hashes is linked to a user's Firebase account and to the local server operating the Arduino unit. Once a user scans the QR code, the online authentication system verifies the user's hash list with the local hash list stored at the server, and grants near-instant access to the user without the need to physically touch any sensitive surfaces!
Challenges we ran into
As fairly beginner programmers, we ran into serious challenges due to our lack of prior experience in many of the technologies used in this hack. We had to learn to implement different programming languages, APIs, and libraries at a fast pace in order to efficiently create the prototype app. Since our team was new to app and web-based server development, we ran into issues on compiling all the different software and data into one unified platform and using the cloud to be able to communicate with our app. We were able to overcome these challenges by speaking to different experienced mentors which helped guide the development of our application and using tutorials and open-source code available online to fill in the gaps our knowledge base could not cover. Learning how to safely and effectively implement open source libraries in various aspects of application development also proved to be a challenging affair as learning how to work with depreciated libraries was a long affair involving many hours of debugging and bug-fixing.
Accomplishments that we're proud of
One accomplishment that we’re proud of is our ability to work effectively as a team in order to accomplish the same goal. We were able to proactively divide up roles based upon our diverse strengths and skill sets so that we could maximize the potential of our application. Since our team is relatively new to app development, we were also very proud that we were able to use the skills learned inside/outside the classroom to create a useful real-life prototype application.
We also found that the team effectively used resources available to learn massive amounts of information in the quest to develop a working prototype. The amount of workload was very intense as we were very inexperienced with most of the technologies that are a fundamental base of this app, and we were very happy with the amount of material that we not only effectively learned but also implemented considering the vast variety of different technologies that go into making such an application.
What we learned
During the time developing the application we learned many technical skills and EI skills that allowed us to take our idea to the next level. As a team of young developers, we learned to use various tools such as Android Studio, Firebase, Google Cloud APIs and Git in order to allow us to create the final version of the product and work together effectively and modularly. We also had to learn basic UI/UX principles while implementing the final version of our app, and learn how to make effectively operating interfaces and use libraries to accomplish various API based goals that our app needed to accomplish. We also learned how to implement and manipulate Google Firebase to create secure registration/login and a rudimentary hash-based security system for our app. Lastly, we learned how to effectively modularize code amongst a group setting and bring it together to make a final publishing version.
What's next for SafeScan
Next, for SafeScan, we will be looking to implement new cutting edge features that promote the security of the user and the swiftness of the application itself. To accomplish this, our team has started to develop ideas and programs that increase safety by using biometrics and more authentication forms on the client-side and stronger forms of encryption for the scannable server QR codes. The scalability of this idea will also be explored as we will try to implement location-based APIs such as RadarSDK or Google Maps to increase the security as well as allow for greater flexibility for the app to work in more public locations. There are also plans to scale the app for services beyond doors, such as elevators and vending machines, to create a truly efficient contactless entry system into most major areas. We will also be looking to implement better UI design and create a more efficient UX so the process of login is more seamlessly integrated.
Our Website
https://heavensentsauga.wixsite.com/mysite-1
Built With
android-studio
arduino
barcode-generator
barcode-scanner
firebase
google-cloud-vision
java
kotlin
python
Try it out
github.com | SafeScan | An innovative new way to enable contactless entry into public and private spaces during the COVID-19 pandemic | ['Hussain Phalasiya', 'igoigloo Domingo', 'Nathan Hamilton', 'Jacob Manangan'] | [] | ['android-studio', 'arduino', 'barcode-generator', 'barcode-scanner', 'firebase', 'google-cloud-vision', 'java', 'kotlin', 'python'] | 164 |
9,892 | https://devpost.com/software/discalculator | Its not that random calculator, its DISCALCULATOR!
Displays received image to show user that it has received the correct equation. Solved answer is displayed after.
Able to factor expressions.
Solves questions with imaginary solutions.
Streamlined integration!
Trigonometric tendencies..
When there is a will, there is a way...
24/7 dedicated support available from the push of a command!
Thumbnail
Inspiration
As we are finding ourselves to be kept indoors recently, we have noticed that Discord has been taking up a lot of our time. From gaming to abusing bots with commands, we have realized that our parents will not be proud of us if we kept fooling around. So, we decided to combine the best of both worlds by mixing in Discord with our favorite subject (Math) through the creation of a Calculator!
What it does
Since we are students, we are pretty lazy. Thus, we created the bot to be able to take in a submitted picture by the user which outputs a picture of the solved problem as an image.
The bot is able to solve (find roots), simplify, expand, differentiate, and integrate equations - all from just being given a picture!
It first displays the received image through LaTeX so users are able to check if your image has been properly converted, then it instantly displays an image to the solution to your problem!
The scope of the problems the bot can find solutions for are very diverse. Give it a problem with exponents, trigonometry, or even with imaginary numbers and it will find a solution!
How we built it
We used a multitude of technologies for the creation of our bot including the Python programming language, Discord Developer Platform, and the Mathpix, Pillow, and Wolfram|Alpha APIs. The Discord Developer Platform was used to create and host the app within Discords servers. Integration of Discord was done through syncing the discord API through our scripts. The Mathpix API was integrated to display images by converting them from an image to LaTeX which was aided by Pillow (also known as PIL) which helps to manipulate the file through saving it in a suitable format. The Wolfram|Alpha API is used by querying the converted LaTeX text alongside a keyword given by the user.
Challenges we ran into
As the API for Wolfram Alpha for Python was not the best, we had very limited options in solving as many problems as we could. Implementation of the Pillow API proved to aid image detection through Mathpix. Problems with the integral and differential keyword were solved through the implementation of proper algorithms. Minor bugs such as the inclusion of trigonometric and exponential variables proved to be too much for the bot to handle at first, but with heavy debugging and experimentation, we had reached completion.
Accomplishments that we're proud of
Usage of the Mathpix API through LaTeX technologies and successful implementation of the discord API made our bot fully functional. WIth PIllow supporting Mathpix, we are able to perfectly display the given picture from the user to the bot assuming the user has reasonably consistent handwriting. We have gotten the commands of the bot functioning, with lightning-fast responses from the bot. Solutions to problems are instant!
What we learned
We have learned how to integrate API's onto a discord bot, which has been created from scratch! This was our first time building a discord bot and using multiple APIs in one project.
What's next for disCalculator
There is still much left to do for this project which displays its immense potential. We are very excited to explore all of the different possibilities of implementing as much math as we can to take this bot to the peak. Sadly, we have realized far too late that Python is limited when it comes to the functionality of the APIs, as they are all originally written in Javascript. However, Javascript was too big of a challenge to master in 24 hours for this hackathon, but transferring languages may be the next goal alongside the implementation of higher-level math. If we find Javascript to be too challenging or understand how to continue with Python implementation, we can improve the functionality of the current system within Python and usher a new age of Python math development with help from the Sympy API.
Note:
Due to technical difficulties with domain.com, it was not possible to link our domain.com registered domain to our website. Our domain.com link is pleaseusethisbotinsteadofwolfram.online
Built With
discord
latex
mathpix
pil
python
wolfram-technologies
Try it out
mrerioh.github.io
pleaseusethisbotinsteadofwolfram.online
github.com | disCalculator | Solving our problems through Discord | ['Shoeb Islam', 'Farhan Faruqui', 'Sanjeev Sritharan', 'Erio Hoti'] | [] | ['discord', 'latex', 'mathpix', 'pil', 'python', 'wolfram-technologies'] | 165 |
9,892 | https://devpost.com/software/relay-4x2rd7 | Inspiration
Data isn't cheap and phone plans are only getting more expensive. At the same time, our generation is drifting away from texting & SMS while becoming increasingly reliant on social media and other forms of online communication.
Let's face it: we've all faced situations where we've been stranded for hours at a time without WiFi or data, while our friends are sending us important and/or entertaining messages that we unfortunately can't see in time. No more - we set out to build a product to eliminate any inequalities to access of WiFi/Data and to keep everyone connected, regardless if they're online or not.
What it does
Relay enables you to send and receive messages and notifications from social media platforms like Facebook Messenger and Twitter, all without having an internet connection! Once you connect your accounts through our secure web app portal, Relay will forward all messages you receive to your phone via text. You can then seamlessly continue the conversation by simply sending an intuitively structured SMS message to Relay, allowing for seamless communication without data or WiFi.
Here are the commands that Relay currently supports:
Facebook Messenger notifications
Sending a message to anyone on Messenger
Twitter notifications for DMs
Sending a message to anyone on Twitter
Ability to post a tweet on Twitter
How we built it
The front-end of our app is built in React, which takes user data and pushes it to a MongoDB database. We created multiple API endpoints using Flask, each of which, interface with the Twilio REST API to send and receive text messages. After processing the data on our python backend, we send messages through Messenger and Twitter APIs to the user.
The server is deployed on a DigitalOcean droplet using nginx as a reverse proxy and gunicorn as an HTTP server. We had to get creative with multithreading in order to support multiple users at once!
Challenges we ran into
This was the first project using React for a few members of our team, which was definitely a stimulating challenge to tackle. While the Twitter and Messenger APIs worked flawlessly individually, combining everything into one flask app was a tedious process that took us all night. We also ran into a few issues since parts of the Twitter API we were using were deprecated recently, so we were inspired to pursue some creative workarounds.
Deploying the app also proved to be a challenge, since it was our first times deploying on a virtual private server. We had to learn a lot about virtual environments, routing, networking, and Linux to deploy our app successfully.
Oh and merge conflicts... so many merge conflicts... :(
Accomplishments that we're proud of
We are most proud of how each and every one of us learned a new technology/language through the creation of this fully operational project. We are also proud that we made what we consider to be a genuinely useful application to make people's lives more convenient and to help them save money.
It was also a few of ours' first times staying up straight for 24+ hours - but we have no regrets :D
What we learned
We learned about new technologies like React and MongoDB as well as how to use APIs from Twitter and Facebook. This project also improved our remote collaboration skills - after conquering merge conflicts and finding ways to communicate effectively via discord/screen sharing we have definitely learned more about collaborating without needing to be in physical proximity.
What's next for Relay
The current stage of our project is more of a proof-of-concept than an actual working product, but we're really proud of what we've built in 24 hours. In the future, we hope to expand to more platforms and to provide more detailed support for each of our integrations.
Built With
facebook-messenger
flask
mongodb
node.js
python
react
Try it out
relayme.online
github.com | Relay | An SMS service to help you stay connected, even when you're offline | ['Kelvin Zhang', 'Allen Lu', 'Michael He', 'Matthew Wang'] | [] | ['facebook-messenger', 'flask', 'mongodb', 'node.js', 'python', 'react'] | 166 |
9,892 | https://devpost.com/software/initial-draft | Inspiration:
Shopping during COVID-19 for all items; Especially useful for the In-Demand items
Bring all retailers together in one app
Search directory to look for items
What it does:
Stores product information and availability from the web or manual input to a large database
Filters search by location, area radius, delivery/pickup options
Filter results by price from low to high, price from high to low, distance from user's location
How I built it:
The website is built using html, javascript and css
Challenges I ran into:
We ran into a lot of challenges while coding the web crawler. We were trying to program a simple web crawler just to scan one webpage and collect specific data. Using Java, we downloaded the Jsoup library and then we tried to code to connect the url. We ran into many problems but the problems were not in the code, the issue was the library. Eclipse was telling us that the functions could not be called because it could not locate the library. With time running out, we decided to map out how the website would potentially look after the web crawler had retrieved the data from the websites.
We also had several problems while coding the website because our team is mostly composed of beginner programmers and it was a challenge to code a large project in one day.
The greatest challenge was trying not to fall asleep during the entire 24 hours. We almost lost half of our team because they almost succumbed to falling asleep an hour before the deadline before recording the presentation (that would have been tragic).
Accomplishments that I'm proud of:
We're all proud of the website format design that we made that map out how the system works on the slideshow
What I learned:
We learned a lot about html and designing a website
We also learned a lot about problem solving and creativity while trying to solve the issues we were faced while making a web scraper program
What's next for GoFindMe
We will continue to try to fix the code for the web crawler
We will continue to expand on the ideas
Built With
css
html5
javascript | GoFindMe | A website and an app that will allow a user to search for a specific item and returns all the stores (in a user selected radius) that have the item, how crowded the store is, and is GPS to the store. | ['Amy Li', 'Ishan Kapoor', 'Gary Fan', 'Jessamine Yeh'] | [] | ['css', 'html5', 'javascript'] | 167 |
9,892 | https://devpost.com/software/x-tension | Initial popup
Full popup 1
Full popup 2
Landing page 1
Landing page 2
Domain: x-extensi.online
Inspiration
The inspiration for X-Tension came from our personal experiences related to workplace changes because of COVID19. We were both very taken aback by the sudden need to work from home and had to adapt rather quickly to the new environment. There wasn't really any time to fully "adjust" and set up a comfortable, ergonomic workplace because it was all "Go, go, go!" for most companies to rapidly adapt to the crisis. We wanted a simple way for people around the world to make working at home healthier and stress-free, and that's how X-Tension was born.
The name for X-Tension comes from the fact that it is literally a Chrome extension, but also works to kill your tension and bring peace to your mind!
What it does
X-Tension is a Chrome browser extension that provides push notifications reminders to users about taking walk breaks (e.g. to meet a pre-determined daily step count), follow the 20/20/20 rule (to look at something 20 feet away for 20 seconds every 20 minutes) and set-up their desk ergonomically.
How we built it
The app was built with Javascript (and Node.js) through and through, utilizing the Chrome extension framework and a Firebase real-time database. We used HTML, CSS (specifically Bootstrap) to style our landing page and extension popup.
Challenges we ran into
We ran into a lot of trouble learning how to use Firebase! There is so much documentation (which is usually a good thing), but actually ended up in us being confused comparing all the sources together. Specifically, it was difficult for us to set up Firebase read/write queries in the Chrome extension itself (which was client-side/browser Javascript). We couldn't use Node.js like we were used to, so that was a challenge that we had to learn how to overcome with lots of Youtube and docs.
Accomplishments that we're proud of
We're proud that we were able to set up rich notifications successfully and Firebase integration for our users! It was our first time ever building a Chrome extension and using Firebase, so we were overjoyed to actually have a working product at the end of this journey. We were able to pick up what we needed pretty quickly, even if we weren't able to develop all our features.
What we learned
We learnt that a hell of a lot is possible within 24 hours (especially with coffee) and that Firebase can be finicky, but very rewarding. We really enjoyed the learning process that we had with this Hackathon, compared to working with a stack that we were already familiar with. It's not always just about building a killer product, but also about learning something new/interesting in the process.
What's next for X-Tension
There are lots in store for X-Tension! Firstly, we want to be able to display real-time progress tracking for users' steps throughout the day. We think this will be an intuitive addition with our current setup in Firebase. We're also looking to add more information tracking, potentially by connecting with fitness devices (e.g. Apple Watch, Fitbit) to get a more accurate display of how physically active a user is being. Finally, we want to be able to add a community aspect to the app, by being able to compare your steps with your friends.
Built With
chrome-notification
css3
firebase
html5
javascript
node.js
Try it out
github.com | X-Tension | A mental wellness Chrome Web extension that makes working from home a breeze. | ['Prannoy Lal', 'Josiah Parappally'] | [] | ['chrome-notification', 'css3', 'firebase', 'html5', 'javascript', 'node.js'] | 168 |
9,898 | https://devpost.com/software/covid-19-helpers-ebook-beth-bacon-kary-lee | Inspiration
Picture book writer and illustrator want to help children understand Covid-19.
What it does
Picture book explains value of staying at home during Covid-19 outbreak.
How I built it
Using InDesign and brainstorming.
Challenges I ran into
Time limit for illustration required simplifying style.
Accomplishments that I'm proud of
Clear story, impactful images.
What I learned
Cooperation with new partner, power of story.
What's next for Covid-19 Helpers Ebook Beth Bacon Kary Lee
More partnerships!
Built With
adobe | Covid-19 Helpers Ebook Beth Bacon Kary Lee | People everywhere, including kids, are helping to fight the new disease, Covid-19 | ['Beth Bacon'] | ["EGHI COVID-19 Children's eBook Award"] | ['adobe'] | 0 |
9,898 | https://devpost.com/software/what-color-is-today-w0r6lm | Inspiration
I was inspired by Dr. Seuss' book, 'In My Many Colored Days', which helps to introduce emotions to children. Seuss uses animals to help descibe how children may feel different on different days. The illustrator's themsleves used stark contrast of color to farther express an emotion. This inspired me to think in terms of color and the psychology of each. How it can be a tool to help children express and ask questions. Giving adults an equal opportunity to express to their children what they my be going through and feeling, without such communication being too mature or heavy for younger generations.
What it does
This book highlights the confusion of this time. The hardships being faced with deaths, financial strain, missing friends, events cancelled, while also touching on the joys of this time. Being home, being creative, and spending time with loved ones. There is specific focus on the essentials for fighting this disease, washing hands, wearing masks, and staying home.
The book is written to intentionally give opportunity for readers to be engaged in conversation. "Where did this begin and when will it end?" "Everyone MUST stay home. It's one way they say to keep the disease away."
These are examples of the writing style, intended to give hints and inspire curiosity so that children could ask and adults could equally explain. When reading through it's pages parents are invited to give a response and further explain
How I built it
I used Procreate on my Ipad. It took me about 10 days and 40 hours to complete from writing to fully illustrating.
Challenges I ran into
The biggest challenge was writing the story. How to create something that is honest while age appropriate? Even ages 6-9, there is a large maturity gap. How do you explain that this is causing deaths without frightening a 6 yr. old? How do you engage a 9 yr. old on a 6 yr. old level without boring them? Also the challenge of taking something as world- wide devastating as COVID-19 and giving it a refreshing, charming twist?
Accomplishments that I'm proud of
I am proud of completing a book from start to finish within 10 days. It took organization, persistence, and lots of creativity. Most of all I am proud of the story I crafted, taking the challenges the criteria presented and bringing it all together. I feel I did a well rounded job of introducing COVID-19 and it's many challenges, while ending it on a hopeful note.
What I learned
I am capable of more than I thought I was. I am excited to further my career in writing and illustrating children's books, knowing the challenges I can face and overcome.
What's next for What Color Is Today?
Well, if I don't win I will start sending it to publishers to hopefully get it published! I also plan to share it myself on social media, and with friends and family (after the contest of course!), hopefully so it can be used as a tool for families and classrooms.
Built With
procreate | What Color Is Today? | A colorful look at COVID-19 and the way it is affecting us all; emotionally, physically, and financially. | ['Alison Stephen'] | ["EGHI COVID-19 Children's eBook Honorable Mention"] | ['procreate'] | 1 |
9,898 | https://devpost.com/software/we-re-going-to-be-o-k | Inspiration
This project was inspired by our own children and youth around the world coping with the pandemic.
What it does
This story's purpose is to help demystify the virus for our readers and empower them to know how they, too, can help. We also wanted to provide an outlet for them to express their concerns and provide go-to resources that they can keep at hand. We know this age is impressionable and we want to serve as advocates for their mental health.
How we built it
We worked together building this story in an open google document. Ebony introduced the idea to the team and had a general concept in mind. Leigh-Ann built on that concept and crafted this story. We hoped that readers could relate to Parker's experience of learning about the pandemic, experiencing fear, and navigating his fears through his parents' knowledge, support, and compassion.
Challenges we ran into
Wanting to provide as much information and thorough narrative to support those reading this book, but finding we had to simplify or take out some info to fit project goals.
Accomplishments that we're proud of
Finishing this book after hearing about it a week before the deadline! And working together was a great collaborative experience as each of us had the same driving goal of supporting our youth as best we could would this piece.
What we learned
The more we worked on this it became evident of how important this eBook will be. Day-by-day we hear how individuals, families, society is coping with the pandemic, and resources like this are valuable and needed as we all are called to serve one another in any way we can.
What's next for We're Going to Be O.K.
We hope to win! It'd be fantastic to have this platform to share this story with tips, facts, advice, and activities we feel would serve as a great support to any young reader during this time. But we feel that we 'win' either way, as this is an important piece we still hope to share with our communities.
Try it out
globalhealth.emory.edu
globalhealth.emory.edu | We're Going to Be O.K. | This time of COVID-19 has left in its wake a world of confusion and fear. We hope to demystify the virus for our readers and empower them to know how they, too, can help. | ['Leigh-Ann Webb', 'Ashleigh Webb', 'ejhilton'] | ["EGHI COVID-19 Children's eBook Honorable Mention"] | [] | 2 |
9,898 | https://devpost.com/software/bray-bray-conquers-the-coronavirus-i7e2ak | Bray Bray Conquers the Coronavirus Front Cover
Bray Bray Conquers the Coronavirus Back Cover
Inspiration
In 2016, I was inspired to start
The Adventures of Bray Bray
series when my first nephew turned two years old. I searched the bookstores for children’s picture books with little Black boys as characters and couldn’t find any. The search continued online, and I only found one age appropriate book with a Black boy as the main character. This was disappointing and frustrating for me and I thought “I’ll just do it myself!” My mind was made up on pursuing this project, but I had absolutely no idea what creating a children’s picture book entailed. So, I ordered a book on self-publishing and started to develop a plan. Shortly after, I reached out to a fellow University of Florida alumna, Joanah Whitely.
Joanah and I discussed my goals for this series, to highlight diversity in ethnicity, race, ability, and family background while addressing difficult topics in a developmentally appropriate way. She immediately agreed to partner to create this series and we began working on the first book,
That’s My Baby
. This book served as an introduction to the main character, my nephew Bray Bray, while promoting positive self-esteem.
Once my sister-in-law, Bray Bray’s mother, sent me the flyer for this children’s picture book competition, I knew that this project would be our second book in the series. As a doctoral trainee providing teletherapy services for children and families during this pandemic it is clear to me that they are having a hard time coping with transitions and loss related to COVID-19. Parents are also finding it difficult to explain all of these changes to their children. Furthermore, on a systemic level, this pandemic is forcing a painful acknowledgement of longstanding racial health disparities in the U.S. and the various factors contributing to these disparities (e.g., living conditions, work circumstances, underlying health conditions, and lower access to care). Data indicates that Black Americans are disproportionately being hospitalized and dying due to COVID-19 (Garg et al., 2020). So, although this book is for everyone, Joanah and I hope that Bray Bray’s character will especially connect with the Black communities that are disproportionately affected by this pandemic.
Aims
Our goal for this book,
Bray Bray Conquers the Coronavirus
, was to do our best with the information that we have to help facilitate conversations between parents and their children about COVID-19. Using rhyme and brevity, we aimed to address the following: (a) review what we know about COVID-19 symptoms, (b) review the main Centers for Disease Control and Prevention recommendations, (c) provide validation for the emotions that some children may be experiencing right now, and (d) initiate a discussion on how children can develop their own useful coping mechanisms to get through this pandemic.
Process
Our process began with me writing the text, and then discussing with Joanah what I hoped to see in the illustrations. After we determined what we wanted the images to look like Joanah began her artistic process which involves: (a) sketching the drawings in pencil, (b) us meeting to review the sketches, (c) incorporating my feedback in the sketches, (d) painting the images with watercolor paints, (e) uploading the images in photoshop, (f) and editing the images. Joanah then sent the final images to me, and I uploaded them to Canva (a graphic design web-based program). After uploading these images, I added the text to the pages, adjusted the font, and oriented each image onto the cover and interior pages. The watercolor swatches were chosen for the covers and blank interior pages due to its perfect match with Joanah’s watercolor illustrations. Finally, I downloaded the cover and interior pages of the book into a PDF and asked several close friends and family members to review and provide feedback on the draft. This feedback was incorporated into the final product.
Challenges and Accomplishments
Challenges faced since the start of this series have involved a lack of resources (i.e., time, appropriate technological appliances, and manpower). Our resources have been stretched thin due to my responsibilities as a Counseling Psychology student in a Ph.D. program and Joanah’s responsibilities on a regional leadership team of an international company. These challenges have remained constant throughout our partnership, and this competition was no exception.
Despite the ongoing challenges we’ve faced since the start of this series we have managed to keep pushing through! Completing this project,
Bray Bray Conquers the Coronavirus
, has reminded Joanah and I of why we are doing this work and reinvigorated us to continue this passion project.
What's Next
Joanah and I hope to promote this book on our social media platforms for children and families at home and via children’s hospitals. We plan to convert
Bray Bray Conquers the Coronavirus
to a digital flipbook and provide it to the public, free of charge. Additionally, our plan includes working on a third children’s picture book in the series about coping with grief. This book will be useful for children and families who have lost family members to COVID-19 or any other cause of death.
Our hope is that our passion and care is reflected in this book and in our future books. Happy reading!
Reference
Garg, S., Kim, L., Whitaker, M., O’Halloran, A., Cummings, C., Holstein, R.,…Fry, A. (2020). Hospitalization rates and characteristics of patients hospitalized with laboratory-confirmed Coronavirus disease 2019 — COVID-NET, 14 states, March 1–30, 2020.
Morbidity and Mortality Weekly Report, 69
, 458–464. doi:10.15585/mmwr.mm6915e3
Built With
adobe
canva
microsoft
photoshop
Try it out
www.adventuresofbraybray.com | Bray Bray Conquers the Coronavirus | Join Bray Bray on his journey as he learns about the Coronavirus and how to fight it! | ['Ashley Maxie-Moreman'] | ["EGHI COVID-19 Children's eBook Honorable Mention"] | ['adobe', 'canva', 'microsoft', 'photoshop'] | 3 |
9,898 | https://devpost.com/software/together-living-life-during-covid-19 | Inspiration: My wife is a Pediatric Physiatrist at Children's Healthcare of Atlanta. I am a Physical Therapist at Emory. We have two young girls. As the escalation of this virus has been ever growing, so many questions have been asked as to what is going on. I felt we were best to answer them as healthcare practitioners and parents.
What it does: This book sees the times of quarantine and social distancing from the eyes of a little girl. Why can't she go to her friend's birthday party? Why can't she go into her grandma's house and give her a hug? Is her school still there? How will she and her family stay safe? This is Olivia's journey to understand why her life has suddenly changed so dramatically.
How I built it: I have collaborated with the talented Michael Rausch on two previous picture books. When I saw this opportunity arise, I contacted Michael and we decided to tackle this awesome book to accomplish the above goals.
Challenges I ran into: When Michael and I collaborated on our first book together, it took one and a half years from when the first word was written to published copy. The second book took one year. For this book, we had two weeks.
Accomplishments that I'm proud of: I have been a physical therapist in sports medicine for 22 years, helping the weekend warrior to the professional athlete achieve their rehab goals. I have an amazing wife and we are raising two beautiful little girls. Michael and I have written two children's books together and Michael has also collaborated with a college professor of mine on a third.
What I learned: Kids have a lot of feelings they cannot express verbally. They need help to understand their emotions, and reassurance about the many changes they are experiencing. Many examples in this book are events that myself and my friends have experienced with our own children.
What's next for Together: Living Life During COVID-19: My hope is that this book is a message that all kids can use to take comfort. I am hoping to do readings to kids online and, when appropriate, in schools, libraries and bookstores. I want this book to be a message of peace, hope, and strength. We plan to publish this book, with some of the proceeds going to local charities.
Built With
english | Together: Living Life During COVID-19 | Olivia is confused why she can't go to school, visit friends or see her grandma. She must understand why and figure out the best way to get through this tough time! | ['Kevin Poplawski', 'michael rausch'] | ["EGHI COVID-19 Children's eBook Honorable Mention"] | ['english'] | 4 |
9,898 | https://devpost.com/software/detective-bobby-and-a-very-special-mystery | Inspiration: Came to me in a passing, and I saw very clearly a little boy with a detective hat, a coat, and rather large glasses and button nose.
Challenges I ran into: How to make something interesting out of something very simple.
What I learned: Definitely start earlier next time, it leaves me more room to think.
What's next for Detective Bobby and A Very Special Mystery : Detective Bobby has become special as a character to me, and I will continue to watch him solve mysteries across time. He has a bright future. | Detective Bobby and A Very Special Mystery | Detective Bobby finds himself in a whole new situation when suddenly everyone has to stay at home. But mysteries pop up no matter where he is, with the help of his time-traveling magnifying glass. | ['Bijia Wang'] | [] | [] | 5 |
9,898 | https://devpost.com/software/a-new-virus-in-town-f09hwr | Inspiration
writers of all time
What it does
story about a family dealing with the virus
How I built it
looked at videos about families dealing with virus
Challenges I ran into
condensing the information
Accomplishments that I'm proud of
the finished product
What I learned
writing for children, illustration for children
What's next for A new Virus in Town
a better version of the book to be published soon.
Built With
blender | A new Virus in Town | Its the must have book for explaining COVID 19 to children | ['Shaishav Vashi'] | [] | ['blender'] | 6 |
9,898 | https://devpost.com/software/paper-airplanes-covid-19-ebook | Title
Inspiration: My mom, (who’s a doctor) and my English teacher
What it does: Shows kids about what we might tell to our grandkids. Shows what changes it has made in a kid’s life and the world.
How I built it: Google Drive, Google Slides, and Pixlr.com
Challenges I ran into: Making the story in only 4 days. Using photoshop for the first time.
Accomplishments that I'm proud of: Making my first eBook (my first book) and photoshopping for the first time.
What I learned: How to photoshop, and that I enjoyed making a book for kids.
What's next for Paper Airplanes: Covid- 19 eBook: I think one book is enough to express about this crisis. If I win I will donate a lot of books.
Built With
google-drive
google-slides
pixlr | Covid-19: The Story of a Virus | Grandpa tells Billy about a world crisis, no not a war, but a virus! He tells Billy about when he was a kid and what he felt about the virus and what changes it brought for the world. | ['Tara Samant'] | [] | ['google-drive', 'google-slides', 'pixlr'] | 7 |
9,898 | https://devpost.com/software/stay-home-spread-love | Inspiration
I work with children all the time: giving swim lessons, in Sunday school, and in the classroom. I understand their fears and anxieties as well as many of the questions they have regarding COVID-19.
What it does
This book describes the feelings that children might have as a result of the COVID-19 virus, and provides encouragement as well as strategies to connect with others and spread love.
How I built it
This book was created with handmade notecards and well as handmade watercolors illustrations.
Challenges I ran into
Adapting all of the medically complex language surrounding the COVID-19 and translate it into something that this age group will appreciate and be able to use.
Accomplishments that I'm proud of
This is my first eBook - and I am very proud to have combined my creative gifts with my knowledge of how to talk with young children.
What I learned
This only serves to reinforce my desire to take my Emory Neuroscience degree and continue my pursuit of graduate school as a Physician Assistant where I intend to have a focus on pediatric health education. My goal is to have a key piece of my expertise and practice to be the empowerment of children and their families through knowledge.
What's next for Stay Home, Spread Love
I would love to share this children's book with families of children that I coach swim lessons for in the Emory community, the children that I serve in Sunday school, the families in the medical practice where I work as a Medical Assistant, and to my friends who are teachers at elementary schools.
Built With
handmade
paintbrush
paper
pen
printer
scanner
watercolors | Stay Home, Spread Love: Not COVID-19 | This is a children's book that explains both the virus and changes happening around children as a result. It's messages: 1.we know how to be safe; 2. their focus can be on safely spreading love! | ['Fiona Muir'] | [] | ['handmade', 'paintbrush', 'paper', 'pen', 'printer', 'scanner', 'watercolors'] | 8 |
9,898 | https://devpost.com/software/covid-19-children-s-ebook-competition-o7zlv1 | Inspiration
When I am older, I would love to become a teacher. This opportunity of being able to create a story and letting my imagination go wild, was something that I really enjoyed. If we win this competition, I would donate the money that was gifted to me, to a few different places. Firstly, I would donate some of the money to hospitals because they are in need. Secondly, my friend's sister recently passed away from an inoperable brain tumor called Diffuse Intrinsic Pontine Glioma. They took that devastating event and made it into something positive by creating a GoFundMe page to fund research, so I would definitely love to contribute to that as-well. Finally, since I live in Connecticut and used to travel into New York City a good amount, I would love to find a church or charity that is supporting homeless people because it must be extremely hard for them during this time. I am so fortunate to live with a roof over my head and have a generous amount of food and sometimes that I take that for granted. I have never entered in anything like this before, so I am so honored that I was exposed to this great opportunity. Thank you! | COVID-19 Children's eBook Competition | I loved the idea of getting the opportunity to create a story on something that is so relatable to everyone at the moment! | ['Isobel Cunningham'] | [] | [] | 9 |
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