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9,938 | https://devpost.com/software/agrocentar-krizevci-5r81jn | Inspiration
COVID crisis and opportunity for a new start (fresh)
What it does
It is a connection between family farms and consumers
How I built it
With the help of Grad Križevci and family farms. It is a facility that contains multiple warehouses and equipment for processing agricultural products into products with added value. On top of the facility is a solar panel farm, for a self-sustained system
Challenges I ran into
Bureaucracy, financing and "child diseases",
Accomplishments that I'm proud of
Helping the small man, creating connections between small family farms and final users,
What I learned
how to appreciate healthy and local products
What's next for Agrocentar Križevci
Scalability from local to the national level, from targeting the local market to targeting the EU, global markets and those in need
Built With
autonomusmobilerobots
clean-power-solaranywhere
deltametal
gideonbrothers
optimisinglogisticsoperations
promid | Agrocentar Križevci | Agrocentar is a middleman between Family farms and buyers/consumers | ['Antonio Sirovec', 'Martina Matejic'] | [] | ['autonomusmobilerobots', 'clean-power-solaranywhere', 'deltametal', 'gideonbrothers', 'optimisinglogisticsoperations', 'promid'] | 5 |
9,938 | https://devpost.com/software/crogo | open innovation and new ways of making revenue by supporting local producers
Built With
css
html
javascript
php | CroGo | CroGo is an all-inclusive innovative 24/7 web platform for a sustainable Croatia. | ['Ana Paris', 'Adisa Kljajić', 'Gabriella Marčelja'] | [] | ['css', 'html', 'javascript', 'php'] | 6 |
9,938 | https://devpost.com/software/andjelka-interaktivni-chat-bot | GUI
Inspiration
Andrija.ai <3 we love it
What it does
It mimics human interaction to give basic information about corona virus
How We built it
We built it using nodejs as a framework and doing some magic :)
What I learned
Don't start over everything 8h before deadline... Making video in last 30mins is haaard
What's next for Andjelka - Interaktivni chat bot
Time will show :)
Built With
javascript
json
Try it out
andjelka.rinfo.eu | Andjelka - Interactive chat bot | Andjelka is interactive chatbot that gives an answers on questions in Croatian language related to corona virus | ['Mauro Josipović', 'David Milošević'] | [] | ['javascript', 'json'] | 7 |
9,938 | https://devpost.com/software/zemi | First search screen
See more, and contact owner screens
List of fields
Inspiration
I want to help to start up agriculture in Croatia
What it does
App that helps you easily find attractive fields/gardens around you
How I built it
It's still in the idea phase
Challenges I ran into
How to make an algorithm and program that analyzes maps and categories fields
Accomplishments that I'm proud of
Video and pitch deck I made
What I learned
I learned that part of this project depends on public institution (Hrvatsko geodetsko društvo)
What's next for Zemi
To develop it :)
Try it out
1drv.ms | Zemi | Zemi - app that helps you easily find attractive fields/gardens around you | ['Rino Dubokovic'] | [] | [] | 8 |
9,938 | https://devpost.com/software/improving-public-transport-for-better-crisis-management | Poster example
Opremanje javnog prijevoza
Izgradnja infrastrukture otpornije na epidemije koristeći preventivne mjere, i crisis management plan.
Javni prijevoz je krvotok grada. Pošto povezuje desetke tisuća ljudi, bitno je posvetiti mnogo pažnje na njegovu zaštitu, te mjere kojima se može smanjiti ranjivost i rizik od širenja epidemije. Naš projekt se sastoji od upravo takvih mjera podijeljenih u dvije kategorije: Edukacija, i Crisis management
Kako efektivnost mjera ovisi o tome koliko ih se pridržava, edukativan materijal u vidu plakata i stickera, je od izuzetne važnosti. Oni bi, pored informativni, bili estetski ugodni, te se fokusirali na širu sliku. Iz ove situacije smo mnogo toga naučili, te je pružila priliku za izgradnju boljeg i zelenijeg sustava, otpornijeg na buduće krize. To treba iskoristiti, i proširiti svijest o tome, tako da sav daljnji rast i izgradanja se odvija uzimajući u obzir otpornost i održivost. Plakati bi širili informacije o prevenciji, te pozitivne poruke iz ove krize.
Pošto se edukacija odnosi na prevenciju, bitno je imati i backup za slučaj da dođe do transmisije. To bi se provodilo modificiranim verzijama propusnice. Izdavale bi se propusnice koje moraju biti skenirane na izlasku i ulasku u vozilo, te se bilježe podatci poput imena osobe, broj vozila, vrijeme ulaska i izlaska, te lokacija vozila tad. Sličan se sistem koristi u drugim zemljama, te on osigurava sljedeće:
-Potiče ljude da koriste alternativne modove prijevoza
-Onemogućava ljudima bez propusnice, te ljudima koji su imali propusnicu a završili u izolaciji, da putuju
-Praćenje pojave i širenja virusa, ako dođe do toga
-Javljanje ljudima koji su bili u kontaktu sa zaraženim , da paze na simptome, te da se pridržavaju mjera izolacije.
Osobe bi dobivale propusnice koje se moraju skenirati na ulasku i izlasku iz vozila, funkcionirale bi kao sadašnji pokazi u busovima, koji se registriraju na ulasku u bus na prva vrata.
Uz to, građani koji prijave simptome, ili kontakt sa zaraženim, mogu automatski ostati bez prava putovanja i time čuvati ostatak grada. Mjere, iako možda na prvu zvuče invazivno, to apsolutno nisu jer se pokazima ljudi registriraju već sad. Ovakva struktura će se pokazati korisna kada se COVID-19 (20) vrati, sto neminovno bude, a i može biti efektivna za bilokakve druge krizne situacije vezane uz pandemije. Takav sustav bi ostao efektivan i nakon krize, jer je temeljen na već postojećoj infrastrukturi, i samo ju unapređuje.
Iz ove smo krize vidjeli kako i tokom epidemije, javni prijevoz mora voziti. Sada će početi relaksacije mjera, te će se uvest još izvanrednih linija javnog prijevoza. , Iz tih razloga, bitno je učiniti javni prijevoz sigurnijim, te održivijim.
Built With
adobe-illustrator
adobe-xd
photoshop
Try it out
xd.adobe.com | Improving public transport | Upgrading and enhancing public transport via simple measures, for better crisis handling, risk mitigation, outbreak tracking, and social management. | ['Matej Kozic'] | [] | ['adobe-illustrator', 'adobe-xd', 'photoshop'] | 9 |
9,939 | https://devpost.com/software/krishai-htkagf | GIF
Inspiration
Every year, an estimated 10% of the global produce goes waste due to pests and crop pathogens. This is the reason why crop productivity in many countries is declining. For example, India is among the top producers of several crops such as wheat, rice, pulses, sugarcane and cotton. Most farmers cannot tell if a crop is diseased or not just by looking. Farmers rely on the income they get from their crops and many go broke if their crops turn bad.
What it does
KrishAI
is an artificially intelligent mobile app that tells you if your crop is diseased. We have generated our own Tensorflow Lite Model which showed an accuracy of 91.54% and used Firebase ML Kit to host the same. Our pest detection algorithm provides farmers with the phone numbers of local pest control facilities. We also show effective tips on agriculture and display predicted weather data so that farmers can plan their crops accordingly. Our app is available in most local languages like Hindi, Bengali, Chinese, Korean, etc.
How we built it
Our project KrishAI is crafted with love. The application itself is built by using Android. We are also using some other free API's from OpenWeatherMap for accessing weather information. The Tf.lite model is used for the analysis of the plant image. For the backend, we're using GCP for image post processing & endpoint data compression. The authentication of our app is being served via Firebase Authentication. And last but not the least, the chat server was deployed on a free dyno of Heroku.
Challenges we ran into
Initially, we were facing a problem to setup the Tf.lite model on our project as it was a very buffed one, so we had to reduce the dataset parameters & then optimize it so that it can run seamlessly on low end smartphones. Another important problem that we faced was to compress the uploaded image size on the GCS & throw that endpoint directly to cloud functions.
Accomplishments that we're proud of
We are proud of finishing the project on time which seemed like a tough task as we started working on it quite late due to other commitments and were also able to add most of the features that we envisioned for the app during ideation. And as always, overnight working was pretty fun! :)
What we learned
A lot of things, both summed up in technical & non-technical sides. Also not to mention, we enhanced our googling and Stackoverflow searching skill during the hackathon 😆
What's next for KrishAI
We just really want this project to be a real app and have an impact on reducing global agro-waste! Still, we would love to make it more scalable & cross-platform so that the user interaction increases & we can help minimize this food waste and hunger together :)
Built With
android
firebase
firestore
gcp
java
openweathermap
tensorflow
Try it out
github.com | KrishAI #16 | Cut the crap & save your plant with 𝐊𝐫𝐢𝐬𝐡𝐀𝐈 | ['Pratyay Banerjee', 'Saif Ali', 'Debdut Goswami'] | ['First Place'] | ['android', 'firebase', 'firestore', 'gcp', 'java', 'openweathermap', 'tensorflow'] | 0 |
9,939 | https://devpost.com/software/stonkviz | Inspiration:
Seeing the recent trends in the stock market, it inspired us to create a data visualization project in order to help us better analyze the cause behind the trends and if it is possible to predict such trends before it actually happens.
After seeing the impact that online trading communities can have on the stock market as a whole, specifically regarding the volatility of certain stocks such as GameStop (GME) and AMC Theaters, we were inspired to create a project that can visualize live information about the WallStreetBets trading community as well as the trading behaviours and sentiments of its members in order to help us better analyze the cause behind such trends and determine whether it is possible to predict or detect these kinds of trends early on.
What it does:
In addition to providing live market data including the price of various stocks over time via Yahoo Finance, StonkViz collects data from the trading subreddit r/WallStreetBets and performs sentiment analysis on its members’ posts in order to make predictions about changes to the stock market. This is done by collecting posts and comments from the subreddit via the Reddit API, extracting the content of those posts and running it through an algorithm to detect trends in the positivity or negativity of traders’ posts on the subreddit, which is then tracked over time and displayed on the site alongside usual market data using ApexCharts.js, an open-source charting library.
How we built it:
The website was built using primarily Python for the backend using the Flask web framework as well as with standard HTML/CSS/JavaScript for the frontend. The stock price and sentiment displays were built using the ApexCharts.js library, which dynamically updated the page using a custom API. The data was sourced using the Yahoo Finance and Reddit APIs via a set of Python scripts. Similarly, several Python scripts were created to perform sentiment analysis on the retrieved data.
Challenges we ran into:
The major challenges we faced were collecting relevant information from posts on the subreddit (votes, author, etc.), collecting and processing relevant market information, and applying sentiment analysis to the content of posts. We also had some challenges with adding SVG files into the background of the webpage as well as several other style-related issues. This was due to the fact that the ApexCharts graphs were also SVG files, requiring careful planning on our part in order to get both to work properly in our project.
Accomplishments that we're proud of:
We are proud of the progress that our team made this weekend on such an impactful project. We were able to make a strong base for the future of the sentiment analysis model which, when added to our current perspective of the market, will give additional insight into how user’s sentiments could affect the stock market.
What we learned:
We all learned team-building and how to properly use version control software, both of which are essential skills for aspiring developers. We also learned how to work with natural language processing, web scraping, creating custom scripts for getting data through JSON objects, backend API calls, data visualization, website animations, and web design.
What's next for StonkViz:
We are planning to build a more analytical dashboard that will show all the stock prices and perform data mining to it, which would be useful for predicting the future valuation of stocks.
YouTube Link in comments
https://github.com/snguyen3/stonks
Built With
apexcharts
api
css
flask
html5
javascript
natural-language-processing
python
scraping
sentiment-analysis
yahoo-finance
Try it out
github.com | #12 StonkViz | Creating new investment insights by visualizing trading attitudes on /r/WallStreetBets | ['Sonny Nguyen', 'Kai Ko', 'Saurabh Joshi', 'John Dill', 'Samuel Nathanson'] | ['Second Place'] | ['apexcharts', 'api', 'css', 'flask', 'html5', 'javascript', 'natural-language-processing', 'python', 'scraping', 'sentiment-analysis', 'yahoo-finance'] | 1 |
9,939 | https://devpost.com/software/wasteless-zvwk91 | WasteLess Object Detection of laptop with disposing method
WasteLess Object Detection of laptop with disposing method
WasteLess Object Detection of Mouse
WasteLess
Best way to dispose of your mess
Team #2 WasteLess - Environmental Track
Inspiration
Waste can be harmful to the environment and all of us living in it, especially if not disposed of correctly. We found that knowing how to dispose of different types of waste and correctly identifying waste is not common knowledge. According to the New York Post, “a new survey of 2,000 Americans revealed that 62 percent worry that a lack of knowledge is causing them to recycle incorrectly. Over half of respondents (53 percent) erroneously believe greasy pizza boxes can be recycled, while 68 percent incorrectly think the same for used plastic utensils.”
Many people struggle with identifying the correct method of disposing of waste. It would be helpful if there was a way for people to quickly and easily get the answers they need and learn the proper way of recycling and throwing away waste. Let’s do better for ourselves and the planet we live on!
What it does
WasteLess was created to solve the problem of incorrectly identifying and disposing of waste. This app was created to be an easy and quick way to find out how to dispose of the waste around you. It’s easy to just throw everything away in the same trash can especially when you don’t know otherwise or have the time to look into it.
Instead of guessing if you are disposing of items correctly, you can open WasteLess and find out in seconds. Once you open the app a camera will open up and allow object detection to begin. It will label the items and when you click on it, the information will popup regarding the correct action you need to take.
WasteLess also includes a recent search/history feature where you can look at previous items you detected. Users can also search for other items by typing in the product’s name. This can be convenient for users who do not want to use their camera or do not have the product close to them.
In order to make this app successful, we needed to research different categories of waste that are commonly encountered. Our categories include biodegradable, compostable, recyclable, hazardous, electronic, biomedical, and household waste. We have included information on each of these in the prototype with the information overview feature, a navigation bar feature on the main menu screen.
How we built it
Using Figma we created a high fidelity prototype for our app. In the app, the camera opens and allows the user to capture the object they want to find out about. Using object detection, the product is detected and the user is told what it is and how to dispose of it. In addition, the user has the option of clicking the popup for more information on how or where to dispose of the product.
In the creation of WasteLess, we also made an app using Android Studio so that we could use TensorFlow Lite for object detection. The app works in the same way as our prototype. Using object detection the type of waste appearing in the user’s camera is identified and the information required for the user to dispose of the waste correctly is shown.
Challenges we ran into
We ran with quite a few challenges while coming up with WasteLess and implementing it. At first, we all had different ideas coming into this hackathon. We started by bouncing off ideas and talking them out to see which one would allow us all to learn something new while also creating an impactful change. Once we discussed the idea behind WasteLess and the environmental change it would have, we all were on board to start working on it. The idea of helping our environment in a creative and easy way inspired us to choose this app.
While we were all intrigued with this app idea, we found that machine learning was new to most of us. We started by learning the basics and how machine learning works. We also looked for a platform we could use it on. We found that there were already pre-trained object detection models, we just had to find the one that worked the best for our app.
Using Figma was also something new for some of us. One challenge that was faced was how to incorporate a camera feature to portray what our app would do using TensorFlow.
The last challenge we faced was the time difference. We have been navigating between Eastern Standard Time (EST) and Indian Standard Time (IST). We had to figure out a schedule that would work for all of us to be able to meet up together.
Accomplishments that we're proud of
A lot of us had no experience with Machine Learning and Figma. It gave us the opportunity to explore something new. All of us gained experience with Google Colab and TensorFlow and learned more about the models that were offered for object detection.
Figma was another interface most of us had no prior experience with. We learned how to navigate Figma and what it has the power to create. Each of us came with our own strengths and we had the opportunity to learn something new from one another.
We were also able to navigate working in different time zones. It was interesting having some of us work in the morning while some of us were working at night. We also had to factor in eating and sleeping schedules which made for an interesting virtual teamwork experience.
What we learned
It can be daunting learning something new, especially with a short time frame however, we all came to this hackathon hoping to learn something new and to be challenged. We decided one of the challenges we were going to face was Machine Learning. As a team, we were able to explore Google Colab and TensorFlow and learn how to use their object detection models.
Another interface that was new to most of us was Figma. We had the opportunity to explore the interface and see how prototyping worked. We learned the importance of design and how powerful it can be towards showing an idea. It also set the foundation for how we wanted to implement WasteLess.
What's next for WasteLess?
Moving forward we are hoping to fully implement WasteLess. We also want to improve our object detection model on the WasteLess mobile app. Currently, most of the objects detected have received an accuracy score within 50-60%. Our goal is to reach an 80-90% accuracy score.
We also want to localize content and provide information regarding each state. After researching we noticed that some states have different procedures to dispose of waste and it would be helpful if you received the information corresponding to where you live.
One feature we also started adding but want to elaborate on is our fun fact/tip popup. We currently have a place for tips on our learn more page. However, we want to add a place for fun facts that circulate on our start-up page while the app is loading. In the section below, we've linked our Figma prototype, GitHub repo, as well as a Google APK for anyone to test!
Built With
android-studio
figma
java
machine-learning
tensorflow
Try it out
github.com
www.figma.com
drive.google.com | #2 WasteLess | Best way to dispose of your mess | ['Andy Vo', 'Thao Pham', 'Zaina Shawar', 'Keshav Majithia', 'Mohammed Mushahid Qureshi'] | ['Third Place'] | ['android-studio', 'figma', 'java', 'machine-learning', 'tensorflow'] | 2 |
9,939 | https://devpost.com/software/2020-voter-fraud-visualization | Main web page - (Website)
About Us section - (Website)
Available At page - (Website)
teams section - (Website)
About Us section - (Website)
3d visualization
3d visualization part - 2
Chicane: noun
1.) the use of trickery to achieve a political, financial, or legal purpose
2.) an obstacle on a path
3.) the absence of trumps in a hand of cards
Data Visualization
The augmented reality visualization was built by Milan, and represents the users tweeting about voter fraud in the week surrounding the 2020 US presidential election. The number of tweets made by each user, the number of retweets by each user, and the current status of their Twitter account (active, deleted, suspended) appears in the AR Android app. Milan used Unity, Vuforia, Python, and SQLite to build the display and process the data.
We sourced our data from this GitHub repo:
https://github.com/sTechLab/VoterFraud2020
Website
To build the website, Aditya used HTML, CSS, and Javascript, with additional UX/UI embellishments from Bootstrap, external CDNs, Slick.js, and FontsAwesome.com. W3Schools provided some of the gradient color schemes. The website explains the visualizations, the project, and the team. Our websites are linked below.
Data Visualization
Our project focuses on tweets and retweets made in the first week of November that concern the topic of voter/electoral fraud in the 2020 election.
We created a Dash app that visualizes the top retweets during this period as well as trends in their velocity (i.e how fast they spread), as well as whether users retweeting such content were still active as of December. Our dashboard also takes a look at the URLs spread throughout this period. Khai used Python, Plotly, Dash and other python frameworks to create this we app.
The augmented reality visualization component represents individual users tweeting about voter fraud in the week surrounding the 2020 US presidential election. This social graph displays clusters of users by the number of tweets made by each user, the number of retweets by each user, and the current status of their Twitter account (active, deleted, suspended). The app is built for Windows, with plans to extend to Android soon. Milan used Unity, Vuforia, Python, and SQLite to build the display and process the data.
Check out our GitHub repos and demo videos using the provided links!
Tracks
We used Google Colab for the Google Cloud track, and registered
http://chicane.online
and
http://visualizehaxahoya.tech
for the Domain.com track . In addition, we incorporated several forms of data visualization in order to qualify for the related track.
Challenges we ran into
Aditya: I was not able to load the Bootstrap part at the starting but I was able to do it.
Milan: Towards the beginning of the project, I had the sinking realization that I no longer had access to any of my course notes on natural language processing, but I managed to pivot. In the middle of the project, I realized that we had almost too much data to feasibly work with, and I was forced to reduce the scope of my visualization. Towards the end, the Vuforia configuration I was using stopped working a few times, which caused me a great deal of stress.
Accomplishments that we are proud of
Our team is proud that we completed everything on time. As our team was international, we had to contend with significant time differences, but we were still able to connect with each other and complete our project.
What's next?
Milan: I am interested in visualizing tweets from a longer time period, and creating connections between users to represent how tweets are shared among social networks. I would also be interested in creating an interactive component, improving the color scheme, and successfully deploying the app for Android.
Aditya: Till now we dont have anything in mind to bring change in Voter Fraud Visualization. But yes we will be soon thinking on taking it to the next level and push out more fraud tweets.
Built With
augmented-reality
bootstrap
css
dash
html
javascript
plotly
python
slick.js
sqlite
twitter-developer-api
unity
vuforia
Try it out
chicane.online
github.com
visualizehaxahoya.tech
github.com
github.com | #8 Chicane | Visualizing tweets about voter fraud during the 2020 US Presidential election | ['Milana Wolff', 'Aditya Sinha', 'Sudhanshu Kumar', 'nangokosu Nguyen', 'Muhammad Hanif Fauzan'] | ['Best Domain Registered with Domain.com'] | ['augmented-reality', 'bootstrap', 'css', 'dash', 'html', 'javascript', 'plotly', 'python', 'slick.js', 'sqlite', 'twitter-developer-api', 'unity', 'vuforia'] | 3 |
9,939 | https://devpost.com/software/that-vegan-friend-b1ok38 | That Vegan Friend strikes (check out the tab's new name)
That Vegan Friend is oh so passive aggressive
Firebase stores user-personalized data and visualizations
Chrome extension exploration
That Vegan Friend's MO
User's overall meat trends
User's reduced carbon emissions data
User's potential savings by eating less meat
Logo
Inspiration
We wanted to build something that would be
subtle
, yet
persistent
;
smooth
and
suave
;
powerful
or
thought-provoking
. So, naturally, we decided to go for a completely silly, absolutely fantastic Chrome web extension.
On a more serious note, we were inspired by the
"Environmental"
track and were hoping to put a unique spin on encouraging sustainable behavior, i.e., discouraging meat consumption to reduce meat-production related carbon emissions. And what better way to elicit behavior change than through a persistent (and very annoying) virtual vegan companion?
What it does
As you go about your routine internet browsing,
That Vegan Friend
quietly waits in the background. The moment you access a site that mentions a type of meat in any way, shape, or form,
That Vegan Friend
pounces! You're bombarded with passive aggressive insults and virtue signaling, while also experiencing changes in the page that you were viewing (read: red flashing background)!
Additionally,
That Vegan Friend
records your meat-related browsing habits. Clicking on the extension displays a number of informative visualizations, including rough estimates of money saved for avoiding meat and environmental impact as a measure of reduced carbon emissions. Through a combination of exploration and direct shaming,
That Vegan Friend
is guaranteed to produce environmentally-friendly results!
How we built it
Because
That Vegan Friend
seems outwardly very simple, you may be surprised to find that it is in fact quite sophisticated internally. The Chrome extension uses a background script to listen for web navigation. Once a user visits a new page, the background script pulls the URL of an accessed site and passes it to the Python back-end via a Flask API. Then, the back-end scripts scrape the site's HTML using
BeautifulSoup
, looking for mentions of any type of meat. Once found and tallied, a personalized roast using the site's number of meat mentions is chosen. Also, the user's meat-related browsing habits are pushed to Firebase for later use. Then, we head back to the extension's front-end, where the roast is passed from the background script to the content script via chrome tab's message passing and displayed in a pop-up modal. The page title and background are modified to maximize user shame.
When you click on the extension to see the personalized visualizations, the extension again requests via the Flask API to produce plots based on the most up to date data on the user (which sits in Firebase). After being produced, these plots are pushed up to Firebase, where the front-end uses returned image source URLs to pull them down to display them to the user. Additionally, added HTML formatting makes the extension visually pleasing and adds elements of user exploration.
Challenges we faced
JavaScript will be JavaScript. Async requests........
oof
. Furthermore, we had never worked with Chrome extensions before and choosing which Chrome API functions to use was a challenge. A front-end is never easy to build and we certainly were quite ambitious with this project, tackling both a modal pop-up that need to interact with the existing webpage and a data visualization component. Still, the extension looks nice and works well, which was not without a good deal of troubleshooting.
On the back-end, Flask hates
matplotlib
? Some refactoring and a lot of StackOverflow did the trick here, but it would be an understatement to say that this was an absolute headache.
Accomplishments that we're proud of
The extension came together and roasts effectively! Given that we tackled a suite of things that we've never done before, this feels like quite an accomplishment. We've never completed a project with this many moving parts at a Hackathon before (with only 2 people!), so
That Vegan Friend
is a first in that regard as well!
What we learned
A lot of patience is required when there are so many things to connect up. While we've used Flask as a way to access our back-end before (check out our project
autoGrocer
!), we've never had such a fleshed out back-end. Getting things to work like you want them to work requires a lot of trial and error. But hey: it was a great learning experience! What more can you ask for out of a Hackathon?
Also, Chrome extensions!
What's next for That Vegan Friend
Currently, the API is served on localhost which is, of course, not useful if we were to want to actually deploy
That Vegan Friend
. Serving it on something more permanent like AWS would be a great first step. Also, we really only just scratched the surface when it comes to the realm of possibility with Firebase. A great next step would be to track more users and dynamically mine, store, and visualize data about these users. There's many more possibilities for
That Vegan Friend
, but we're very happy with what we were able to produce in such short time!
Built With
beautiful-soup
chrome
css
firebase
flask
html
javascript
matplotlib
python
seaborn
Try it out
github.com | 50 - That Vegan Friend | Miss being roasted by your one vegan friend during the COVID era? Want to help the environment by eating less meat? Now you can experience just that, from the comfort of your own home! | ['Clare Heinbaugh', 'Emilio Luz-Ricca'] | ['Best Use of Google Cloud', 'Best Data Visualization'] | ['beautiful-soup', 'chrome', 'css', 'firebase', 'flask', 'html', 'javascript', 'matplotlib', 'python', 'seaborn'] | 4 |
9,939 | https://devpost.com/software/newstrust-joug1v | Reccomended links for validation
Entire website
Inspiration
A lot of people use Twitter for connecting with friends, following new trends, and sometimes for keeping up with the news. However, sometimes people use Twitter without the intention of only spreading facts. Therefore, there should be a product that can inform users about whether the tweet is trustworthy.
What it does
NewsTrust takes in a Twitter status and provides a score on the trustworthiness using 11 different criteria that focus on the metadata of the tweet (whether the user is verified, creation date of account and tweet, etc...) and sentence structure (Complexity of sentences, grammatical correctness & sentiment analysis) . We then provide cross-validation materials such as links to PolitiFact to verify the facts in tweets. We then describe what significant values in the metrics led to the score (which metrics scored significantly low or high).
How we built it
We used the Twitter API to pull user data and then parsed it, creating different metrics and then weighting metrics on both importance and accuracy. We also used the Google Cloud Platform's sentiment analysis to detect how much emotion was used in each tweet. We analyzed the structure of the tweet, taking into account sentence complexity, capitalization usage, and spelling. We used Flask to create a front-end that plugged into our back-end and made it very similar to Twitter aesthetic.
Each metric was normalized to 5 points in different ways, for example, we used a Gaussian function to transform the output of the sentiment analysis from the Google Cloud Platform. Normally, the magnitude of sentiment analysis is 0 to infinity, but we wanted to use the Gaussian function to penalize more for additional use of emotional words. Each metric had a unique way to calculate and normalize to a five point scale. We then had to aggregate the values into a singular output. We did this by first rating each metric by importance and confidence. After that, we were able to create weighting that summed up to a 100-point -scale. We used that to create an ultimate output index on a scale from 0 to 5.
Challenges we ran into
We spent a lot of time at the start figuring out what kinds of metrics we could possibly use and whether or not we would need additional API's to get such information. We ended up only needing to use the Twitter API and Google Cloud Platform.
Accomplishments that we're proud of
We were able to successfully connected our back-end to our front-end, when we previously thought we didn't even have the time for a front-end.
What we learned
It was our first time using Flask and we were glad we were still able to apply our HTML/JavaScript skills even when using a new technologyhttps://youtu.be/bKk7R_LulvM.
What's next for NewsTrust
Creating a extension that could either provide the rankings of tweets on Twitter itself or filtering out the lower rated tweet entirely.
Built With
ajax
flask
html
javascript
jquery
python
Try it out
github.com | NewsTrust #28 | An easy to use website that automatically rates the credibility of tweets using 11 different metrics including sentiment analysis and metadata. Also finds relevant articles for cross-validation. | ['Victor Tran', 'Eugene Jeong', 'Jack Liu'] | ['Best Use of Google Cloud'] | ['ajax', 'flask', 'html', 'javascript', 'jquery', 'python'] | 5 |
9,939 | https://devpost.com/software/how-to-recycle-water-online | What is Howtosaveh2.online
Howtosaveh2.online is a simple device that effectively helps people track their water consumption. It keeps track of your daily water and light consumption. To encourage people to save water, we have also included a rewards system. A one-up for environment-friendly practices.
Inspiration
Around 700 million people in 43 countries suffer today from water scarcity. By 2025, two-thirds of the world's population could be living under water-stressed conditions. Through a few studies, we understood that cutting down on water usage in the washroom for one minute could result in massively saving 8 liters of water every washroom session.
What it does
Howtosaveh2.online is a simple device that effectively helps people track their water consumption. It keeps track of your daily water and light consumption. To encourage people to save water, we have also included a rewards system. A one-up for environment-friendly practices.
How we built it
ESP8266 with LDR, water-flow sensor, humidity, and temperature sensors to sense light and shower events. The device sends the data to a Firebase database where our website pulls data from. The web app was built with HTML, CSS, JavaScript, Bootstrap, and Google Charts, and amCharts APIs.
Challenges we ran into
Figuring out how to assemble the hardware into a small form was one of the most difficult parts. We wanted the hardware to be cost-effective and light-weight. We are most proud of the UI/UX design that animates upon loading, giving the app a modern feel.
Accomplishments that we're proud of
Creating a project which helps our environment and community.
Working in unison despite being far away from each other.
Completing this awesome project within a very short amount of time.
What we learned
We have learned to use
Firebase
with the
NodeMCU
Board to send Data to MySQL
Server,
Explored Some cool data visualization Softwares over Website
Amchart
, etc
What's next for Howtosaveh2.online
We are looking to include toilet flushing data on top of the shower and light data. In addition, we would like to create an even smaller device with cheaper and waterproof components to further increase practicality.
Built With
We sautered an ESP8266 with a photoresistor, water-flow sensor, humidity, and temperature sensors to sense light and shower events. The device sends the data to a Firebase database where our website pulls data from. The web app was built with HTML, CSS, JavaScript, Bootstrap, and Google Charts, and amCharts APIs.
Contributors
Atharwa_24
Om Khairate
Dhawal Khapre
Tejas Khairnar
Kushal Kela
Built With
c++
css3
google-chart
html5
javascript
Try it out
how2saveh2o-online.netlify.app | How 2 Save H2Online | Harnessing the power of current hardware technology and software to help people decrease their environmental footprint. | ['KUSHAL KELA', 'OM KHAIRATE', 'ATHARWA KHARKAR', 'TEJAS KHAIRNAR'] | ['Best Hardware Hack Sponsored by Digi-Key', 'Environmental'] | ['c++', 'css3', 'google-chart', 'html5', 'javascript'] | 6 |
9,939 | https://devpost.com/software/plastimap | Chesapeake Bay map with potential monitoring sites. Color and size of dots indicate trend in plastic density.
Normalized absorbance spectra of sediment and plastic pollution water samples.
Side view of spectrophotometer in action. LED passes light through sample and photoresistor measures intensity.
Full picture of Arduino spectrophotometer by Seneca Creek.
Inspiration
Over the past year, our communities have suffered a lot. The environment has suffered just as much - if not more. As residents of the Chesapeake Bay watershed, we are very environmentally conscious of our actions. The Bay has just received a health score of a “D+” for the fourth year in a row - and as we see more and more pollution accumulate from disposable personal protective equipment (PPE) - this rating will likely plummet in the coming year. Out of our concern for the Bay, we were motivated to develop a hack that could help park rangers and environmental scientists monitor plastic pollution on a large scale. In addition to expanding the geographical scope of water quality monitoring, we hope to make this solution inexpensive and autonomous while accurate to increase its accessibility to state parks.
What it does
PlastiMap begins with an Arduino spectrophotometer that relies on principles of electromagnetism. An RGB LED aimed at a water sample flashes red, orange, yellow, green, blue, and purple for 10 seconds each. Each of these colors has a different wavelength, which affects how it is absorbed by different materials. Depending on which wavelengths are absorbed by the material, the composition of the material can be determined. To assess which of the wavelengths (colors) are absorbed, a photoresistor on the other side of the sample records the light intensity. After calibration using real-world water samples from Seneca Creek, we observed that plastic pollution while under yellow light generates a much greater resistance compared to other samples. This means that plastic pollution, likely due to its composition that is high in hydrocarbons, absorbs a greater amount of 500-nanometer wavelengths.
From the calibration experiments, we were also able to obtain a level of precision that enables the device to distinguish between polluted water that contains human-produced garbage and water that contains natural sediment and flora.
Once the sample has been correctly identified, this identification is sent to the Internet of Things (IoT) on ThingSpeak.com. An identification of the water is made every 20 minutes in a 24-hour time frame. The percentage of samples identified as plastic polluted serves as an indication of pollution density. This is downloaded into a geovisualization map made with GeoPandas, which theoretically would display 20 monitoring systems dispersed throughout the Chesapeake Bay. An algorithm made using Python would track if the plastic density is increasing over a larger time period to serve as an alarm system for state park rangers.
The locality and real-time nature of this system holds an advantage over infrequent lab sampling, allowing park rangers to potentially narrow down pollution sources for what is otherwise considered a non-point source of pollution.
How I built it
The spectrophotometer was constructed using Arduino Uno hardware. Specifically, an SMD RGB LED and 3-pin photoresistor was used. The LED was wired to a 180 ohms, 110 ohms, and 110 ohms resistor for the blue, green, and red pins respectively to prevent burnout. To seamlessly upload the Arduino data to the ThingSpeak IoT, the 1Sheeld BlueTooth board was used on top of the Arduino. The Arduino was able to be remotely powered using a battery pack. Finally, a wooden caddy was built to house the water samples and align the LED and photoresistor.
The software component was built using the Python programming language on Jupyter Notebook. Specifically, the GeoPandas and MatPlotLib modules were used to construct and overlay the maps displaying relevant data.
Challenges I ran into
Achieving a consistent calibration for the data samples was certainly not easy. Due to the equipment used, a lack of precision was a large concern for the spectrophotometer. Most spectroscopy is performed in a controlled lab that has consistent lighting and dust particles. We were able to improve the consistency of the data by adjusting the sensitivity of the photoresistor through additional resistors. Also, we modified the wooden caddy to provide optimal testing conditions for the spectrophotometer.
Connecting the Arduino to the IoT held a lot of challenges, as we had to correctly set up a network connection between the BlueTooth shield, a nearby phone with the 1Sheeld app, and the IoT on ThingSpeak.com. We overcame this challenge by testing out the Internet request function on smaller projects and gradually implemented it into our final Arduino project.
When coding our software we ran into several issues while trying to install the GeoPandas module and being able to import it on Jupyter. Issues included missing dependencies, and problems launching Anaconda. We overcame these challenges by finding specific tutorials to resolve the errors we were receiving.
Accomplishments that I'm proud of
Despite using equipment that cost a total of $42 - which can easily be reduced to $33 by replacing the Arduino Uno with an Arduino Pro Mini or Nano - the spectrophotometer showed an impressive level of sensitivity with respect to the samples. It was correctly able to distinguish between clear water, muddy water, and plastic-polluted water. This differentiation would be crucial for park rangers as no one wants to launch a full-blown river clean up only to find out the sensor was mistaking pebbles for trash. Accomplishing this truly proves how inexpensive equipment can be utilized to develop systems that rival more advanced technology.
We are also proud of learning how to use data analysis tools in Python.
What I learned
Starting this project as students interested in earth sciences and computer science, we unexpectedly learned quite a bit of physics in order to properly detect plastic. This really demonstrates how easily computer science can be interfaced with other areas of study.
We also learned technical skills such as using Anaconda to download Python libraries, and how to use GeoPandas.
What's next for PlastiMap
We’d like to continue improving upon the design of the PlastiMap by encasing the spectrophotometer in a waterproofed, 3D printed caddy. This caddy would also improve the autonomy of the device by featuring a PVC pipe for water to freely flow through.
In addition to improving the design of the actual product, true proof of concept would come from small-scale deployment, where the PlastiMap spectrophotometers would be placed at state parks in the Chesapeake Bay watershed and monitored over a month-long period to see if this form of plastic pollution monitoring is both feasible and useful.
We could also look into having one device monitor pollutants other than plastic such as high phosphorous content.
Finally, we would like to implement the ARCGis API in our software to increase the aesthetic appeal of the data visualization and subsequently improve the user experience, as well as launching our software on a web app with an appealing user interface. This would help increase the accessibility of PlastiMap as a powerful monitoring tool for park rangers.
Built With
arduino
pandas
python
thingspeak
Try it out
bitbucket.org
docs.google.com
github.com | #15 PlastiMap | Inexpensive monitoring of plastic pollution in the Chesapeake Bay watershed | ['Pragya Jha', 'Sonia Stan'] | ['Best Hardware Hack Sponsored by Digi-Key'] | ['arduino', 'pandas', 'python', 'thingspeak'] | 7 |
9,939 | https://devpost.com/software/gamestonks | stonks
architecture
cockroachDB dashboard
Inspiration
GME going to the moon, the events of the last 2 weeks, memes
What it does
Our website provides a platform for users to discuss stocks. Users can upvote and comment on stocks and view historical vote counts and comment data from other users to guide completely sound and well researched finance decisions
How I built it
GameStonk was built using React. The sign in page directs to our stock dashboard that provides trending stocks and comments as well as the users current stocks. The React frontend communicates with our backend REST API. The backend is written in Golang and is hosted on a Google Compute Engine VM. Our backend stores user data on a managed cockroachDB cloud kubernetes cluster which is also hosted on Google Cloud platform.
Challenges we ran into
A challenge we ran into was calling the REST API on React. Sorting the information with a simplistic UI was also difficult, as all of us are still beginners when it comes to creating React apps.
Accomplishments that we're proud of
GameStonks is a way to track trending stocks and your stocks. It has a simple and easy to use UI and provides many ways to advocate for a policy. We are proud of successfully calling the REST API to return the popular stocks and comments.
What we learned
We learned new APIs such as the REST API in React for the first time. Working on this website was great experience and we are looking forward to adding more features to help people connect on similar interests!
What's next for GameStonks
Unfortunately we were not able to implement all of our desired user stories in the short hackathon, but in the future we plan to add them. These include: visualizing the most upvoted stocks, visualizing the most commented on stocks, visualizing the most used words in comments on stocks, & extra quality of life enhancements (Better UI, login, more visualizations, etc).
Built With
cockroachdb
golang
google-cloud
react
Try it out
github.com | GameStonks [Team #56] | The new reddit but for stocks | ['https://youtu.be/Jp5KKw1rEQk', 'Alex Chung', 'Deesha Kumbham', 'Ankita Bantey'] | ['Best Use of CockroachDB'] | ['cockroachdb', 'golang', 'google-cloud', 'react'] | 8 |
9,939 | https://devpost.com/software/my-distance | Cane with distance device
Inspiration
We ran into some news from different countries of how blind members are being affected by the pandemic, and the limitation the have and are still experiencing having to adapt to social distancing. This was a sign that the problem was big. Blind or visually impaired people don’t have the opportunity to adapt to the
"new normal"
so easily because this community is predominantly reliant on touch. Their guide dogs don’t understand distancing signs and their guiding canes can’t feel them. All these conditions have made some blind member feel disoriented and stuck with their independence, which can even led to stress, self-isolation or even anxiety.
What it does
My Distance
is a portable device that can be adapted to blind peoples canes to help them maintain a 6ft distance from others. It emits a vibration to let them when they are getting to close to someone else and avoid them getting into other people space by mistake. We intend that with this device they could can now stand in a line, take public transportation, cross the street or simply with the confident that they are not mistakenly invading someone else space and at the same time protecting their own.
How We built it
The device is build with an
Arduino UNO
, which control 2 sensors and a motor. An ultrasound sensor to detect anything at a distance <= 60ft, a passive IR sensor to identify if we are detecting a human or not and a motor to give a signal to the user. All this elements are programs with Arduino.
For virtual purposes we ran a simulation of the project in
Tinkercad
.
Challenges We ran into
The hardest part was to create a physical project online, there are a lot of test and troubleshooting that can't be done with a simulator. Many factors as accuracy, adjusting sensibility of sensors and range needs to be tested and adjusted with a product in person.
Accomplishments that I'm proud of
We are proud of proposing a simple solution that may contribute to ease the fulfillment of safety measurements and provide independence for the visually impaired.
What I learned
There is no excuse to avoid solving a problem, it only took a few hours to dig down an impactful solution.
What's next for My Distance
Develop the product in person, ran several test and make the necessary adjustments for it to be completely safe and functional for a person.
Built With
arduino
github
sensors
tinkercad
Try it out
github.com | #60 My Distance | Help us give the blind community some assistance on how to adapt, be more independent and safe during the pandemic, All while still maintaining My Distance | ['Daniel Sánchez', 'Mari Antúnez'] | ['Staying Sane at Home'] | ['arduino', 'github', 'sensors', 'tinkercad'] | 9 |
9,939 | https://devpost.com/software/polus | Inspiration
The inspiration for this project came from the fact that influential people like Elon Musk and Donald Trump could drastically affect the stock market with less than 280 characters. This phenomenon has only been highlighted by recent events like
Musk causing SIGL to rise 6350%
and the
GME stock surge
. This is why we at Polus decided to make a web application that takes a tweeter and a company listed on the NYSE or NASDAQ, and tells the user how credible that tweeter is regarding the company's stock performance.
The name Polus was chosen as Polus is the Roman equivalent of Coeus, the Titan of intelligence and farsight and Polus itself represents the celestial axis around which the heavens revolve. This fits in nicely with a product that can be used to make stock decisions as well as with our space theme, which was itself inspired by the 🚀 emoji and 'to the moon' phrase often used when mentioning the GME stock surge.
What it does
The user inputs a Twitter username, a company name and a search before date. The website then displays up to 8 tweets that fit the given criteria. The user is then able to click on any of these tweets to see a visual representation of the performance of the stock 5 days after the tweet, and a corresponding credibility rating. This credibility rating represents a combination of how accurate the tweeter was in predicting stock performance, and how influential they were in affecting stock performance.
How we built it
The design of the project was prototyped and designed using
Figma
. The frontend of the project was implemented using
HTML
and
CSS
. The language of choice for the project was
Python
since most of the team was already familiar with it. The backend of the project was made using
Flask
, a python framework for web development. The tweets were scraped using the
twint library
since the Twitter API restricted the number of tweets that could be accessed from a Twitter user. The stock market data was retrieved from the
twelvedata API
. The already parsed data was stored in the
postgreSQL database
to avoid recomputation and to allow for faster results.
pgAdmin
was used to better view the data stored in our database, which allowed us to implement and debug more efficiently.
matplotlib
was used to generate the stock chart.
Challenges we ran into
One of the main challenges we encountered was integration of all the separate components. Although each of our sections worked fine separately, errors popped up when we put it all together. We were able to overcome this by hopping on a call and working collaboratively to mesh each part.
Another issue we ran into was a limit of 8 API calls per minute to the twelvedata API. This was a barrier as each tweet would require the associated stock data, so this limited the number of tweets we could consider/display at a time. Although the additional API calls per minute could be purchased, we were unable to do this as we did not have the budget to do so. We were able to mitigate this issue by filtering tweets by popularity and allowing users to select a search before date to narrow down to the 8 most relevant/interesting tweets.
A third noteworthy issue we experienced was how to find all the tweets from users. This was because the Twitter API heavily restricts developers by only allowing them to access a maximum of 3200 tweets from a given Twitter user. Thus we had to spend time finding a substitute that satisfied our needs. We ended up using twint, a Twitter parser library that scrapes Twitter for the specified user and keyword. The only issue with this implementation was that the scraper was much slower than the API. We were able to address this problem by storing previous query results in a database, allowing faster retrieval for better performance as well as greater scalability, as we anticipated that popular companies would be repeatedly queried.
Accomplishments that we're proud of
When we started this project it was only with a dream and rough vision of what we wanted to achieve. We are really proud of how we were able to turn this vision into reality, especially with such tight time constraints. I am also especially proud of how we were able to integrate as a team so quickly, which is what I think allowed us to work so effectively together.
What we learned
Claude
"On the technical side, this was for sure one of the harder projects I’ve worked on due to the time constraint. I was learning a new framework called flask to bundle all the different components of the project together. I also learned about how to link a database like postgreSQL to my web application where it could communicate with one another. The many API and libraries that were used to reach our desired final product were so interesting as it allowed me to see all the tools available to software engineers.
In terms of soft skills, I can say that I left this hackathon feeling more confident in my abilities to be a better teammate. It was two late nights of working with my team members to assemble a project that we were all happy with. We all came into this hackathon barely knowing one another, but we were able to work around one another, listen to each other’s opinion and collaborate as effectively as possible on the project, devpost and video submission. I am proud of my team for the effort and time we have all dedicated to this project and this hackathon. I’ve truly grown through these two days and I hope to continue learning by attending hackathons."
Michelle
"I was really glad that I was able to learn how to combine HTML with Flask, as well as polish both my design and frontend skills!"
Walter
"This was definitely an eye-opening experience for me as this was the first time I created a multi-faceted product in such a short amount of time. With regards to the technical side, I was able to learn a lot about good programming practices such as using a virtual environment as well as how to combine the front- and back-ends into a polished product. I was also able to learn about and use the various APIs and libraries available for Python.
At the same time, this was also a valuable learning experience on how to develop on a short timeline. In order to achieve this, we needed to be SMART in setting our goals, as well as dividing up the tasks that would often be done simultaneously.
Overall, this was a very enjoyable, although grueling experience for me. I have to say that seeing our vision turn into reality made all the hard work we put in during the last 36 hours worth it. We couldn't have done this without a lot of communication, problem solving and hard work!"
What's next for POLUS
Moving forward, our goals for POLUS include improving the credibility algorithm, enhancing user experience and supporting the tracking of subreddits such as
r/WSB
and
r/investing
. For this project, the credibility calculation merely involved calculating the best fit line and comparing that to the sentiment of the tweet, so we feel this could be improved on by tracking additional factors such as whether the tweet altered the trend of the stock, the reach of the tweet through likes and shares (which is an indicator of influence) and how drastic the change in performance was after the tweet. With this, we hope to provide a more accurate credibility ranking per tweet, as well as an overall credibility rating for that specific tweeter and company that could be potentially used to guide financial decisions on the stock.
Built With
bootstrap
css
figma
flask
html
matplotlib
postgresql
python
Try it out
github.com | #74 POLUS | A project that produces a credibility score for tweets about a publicly traded company. Users search using Twitter username, company name and search before date. | ['Michelle Wong', 'Walter Wong', 'Claude Lu'] | ['Journalism'] | ['bootstrap', 'css', 'figma', 'flask', 'html', 'matplotlib', 'postgresql', 'python'] | 10 |
9,939 | https://devpost.com/software/greenomedia-by-codeloop-37 | This project is submitted for the tracks of Environment and Google Cloud.
Inspiration
This application is inspired by the need to conserve and protect our Environment before it gets too late.
Although NGOs and environmentalists are carrying out various activities to improve the condition but we all have to come forward to save our Earth and play our part as well because it is our moral obligation to do so. As a human who lives on earth, it is all our responsibility to make sure that it is protected.
This is the only place we have to live and we should treat it with care and respect.
But still many people don’t have time or are not motivated enough to care about all these
So we came up with
GreenOMedia
- Cross platform gamified application built for encouraging people to start taking eco friendly steps by doing some small activities or by participating in events and earn rewards.
What it does
*Users can earn green credits for taking part in environmental activities/events(like Planting a tree,selling various wastes,writing blog related to environment,donate to Environmental NGOs etc) and redeem those credits in our partnered stores.
*With our app stay updated about the latest happenings,environmental events,air quality and much more
*A built in community forum for discussion and organization of events
*Also there is an in-app store where one can buy various products for environmental needs
How we built it
This app is built using Flutter to make it cross platform(Android,IOS,Web) and used Firebase as backend.
Firestore for storing the user data,Realtime database for the credit system,Geolocation with geocoder for location.
Then used Razorpay for payment gateway
Challenges we ran into
*Integrating proper green credits system in our app
*Collaborating with various environment related NGOs,event organisers and stores
*Secured payment gateway which we solved by using Razorpay API
*Storing all the contributions of user .Then showing and updating it in real time.We solved these issues by using Firebase.
Accomplishments that we are proud of
Successfully implemented many features in App, and we are also proud and glad that we are able to contribute towards saving our Environment via this application.
What we learned
1.Most importantly while building this app,we learnt a lot about in-depth facts and urgency to protect and conserve the environment.
2.Learnt more about the various features available in Firebase,like Geocoder,Realtime database etc.
3.We studied about securing sensitive user data using SQL Cipher technology
What's next for GreenOMedia
1.Adding more languages support
2.Realtime leaderboard section
2.Events to be updated more frequently and monthly Top 5 users on leaderboard will be getting bonus green credits
3.More options will be given for redeeming the green credits
4.GreenOMedia store will be updated with more varieties of products
Built With
firebase
flutter
razorpay-api
Try it out
tinyurl.com
github.com
tinyurl.com | GreenOMedia by #37 Codeloop | Let us unite for Green | ['Shubham Mehta', 'Shanu Mishra', 'Hrishikesh Deshmukh', 'PRABAKAR SRIRAMULU (RA1811031010040)'] | [] | ['firebase', 'flutter', 'razorpay-api'] | 11 |
9,939 | https://devpost.com/software/hoyahacks-7p5tmr | HoyaHacks
Group #33: Green Team
(Another group member: Chris Davis also contributed to this project)
Since we all are interested in technology, we want to aware people about the environmental crises that we are facing now by providing a platform in the same field. We hope to reach many people in the best possible way we can. We built out a project using HTML, CSS and Javascript.
Built With
css
html
javascript
Try it out
github.com | Team Green | Our goal is to increase awareness about environmental problems by presenting a game to reach a wider audience. | ['Maya pun', 'Shivani Mishra', 'David Faizi', 'Danny Chung'] | [] | ['css', 'html', 'javascript'] | 12 |
9,939 | https://devpost.com/software/harmony-io-5zf13o | Cover
Albums
Music
Demo
Inspiration
Harmony.io is built with the aim of bringing people together from different parts of the world on a common platform where they can have fun, connect with people, and compose music at the same time. As we all know, the Covid-19 had a drastic effect on all of the music industries. At this very moment, it is hard to have a good social life, and moreover, people are suffering from mental illness and disorders like anxiety and depression and we believe that Harmony.io can really help people having these problems.
What it does
Harmony.io is a friend for pandemic and lockdown that uses concept or AR to implement gesture-controlled instruments like Piano, Drums, Guitar, etc in an OpenCV environment. So all one needs to have is a laptop with a webcam and you are good to compose songs alone or along with your friends as a team and it can also be used as a virtual meeting platform to socialize and also hear to all the songs composed by people all over the world and also add your songs on platforms like Spotify, Amazon Music, etc. We also use image segmentation deep labv3 model to provide a virtual background option to preserve privacy because obviously, we don't want people to see how your room looks like. There is also an option to reach out to us incase of any queries or suggestions.
How I built it
The major component of our software is the video streaming feature which is built with Agora. Our main implementation is based on the gesture-controlled feature using which you can play the instruments just by the actual gestures that we use for playing particular instruments that are done very efficiently using OpenCV. There is also an option to change the background to have an effect of a real band which is done using the deeplab_v3 segmentation model. The entire frontend is built in HTML/CSS and all the algorithms and the AI implementations are done in Python
Challenges I ran into
1) Improving video quality of OpenCV/webcam.
2) Implementation of the virtual background system
3) Integration of frontend to agora.io engine
4) AI-based autotune system
Accomplishments that I'm proud of
We were able to integrate all the models with our front end to build this application and also the video calling functionality. All our teammates learned a lot of new things from this project which we had never built till now and sitting the whole night discussing how to make things work was actually a big task especially when we were working remotely and is also an accomplishment that our entire team is proud of.
What I learned
1) Computer vision and Artificial Intelligence and Deep Learning algorithms like human segmentation
2) Audio Signal Processing and Tuning for the efficient transfer of sound.
3) Learned how to implement Camera X in our application to get the frames.
What's next for Harmony.io
Right now our platform works for a one-to-one call system. We plan to extend it to the Group of people as well. We're planning to add more instruments like flute, saxophone, guitar, and violin. For the beginners, we will be providing courses through which they can learn these instruments, socialize and have fun which will help them overcome the pandemic and mental health problems like anxiety and depression.
Built With
agora
css
flask
gesture
html5
opencv
python
tensorflow
Try it out
github.com | Harmony.io( Team number-5, Team name -!404Found) | Upbeat your way through pandemic | ['Mehul Agarwal', 'Shobhit Tulshain', 'Shaashwat Agrawal', 'Alankrit Bhardwaj 18BIT0142'] | [] | ['agora', 'css', 'flask', 'gesture', 'html5', 'opencv', 'python', 'tensorflow'] | 13 |
9,939 | https://devpost.com/software/geowarn | test
Built With
css3
flask
html5
ml
python | Test | Test project | [] | [] | ['css3', 'flask', 'html5', 'ml', 'python'] | 14 |
9,939 | https://devpost.com/software/isafe-kgpbwz | Inspiration
A natural disaster is a major adverse event resulting from natural processes of the Earth; examples include floods, hurricanes, tornadoes, volcanic eruptions, earthquakes, tsunamis, storms, and other geologic processes. This can cause so much damage to cities, countries, and homes of families. In fact, between 2000 and 2012, natural disasters caused $1.7 trillion in damage and affected 2.9 billion people. We wanted to make a way to avoid that by predicting where natural disaster would happen and showing it on a 3d model.
What it does
ISafe predicts various natural disasters like hurricane and wildfires. It also visualizes data using graphs and the 3d model of Earth.
How we built it
We built the website using html5, CSS3 and JavaScript. We also made a machine learning predicting model to be able to find which spot is likely to have a natural disaster next.
Challenges we ran into
We had some problems with the backend working as well as our team working at the same time due to time difference.
Accomplishments that we're proud of
We have a finished product and code that works. Although some features we wanted to be done did not come through, a lot did.
What's next for Isafe
Predicting other natural disasters and fine-tuning the code and design.
Built With
css3
html5
javascript
python
Try it out
github.com | Isafe-Team 72 | Predict natural disasters | ['Mohammad Raahemi', 'wanqing0820 Qing', 'Savannah Hirschi'] | [] | ['css3', 'html5', 'javascript', 'python'] | 15 |
9,939 | https://devpost.com/software/the-flying-caravan-r9hco4 | Landing Page
Origami (Showcase) Demo
Inspiration
While staying at home, people are constantly affected by boredom and caged in by everyday social media that prioritizes creating a “preference bubble” for users. Because of this bubble, users rarely see new content, and are forced to see the same repetitive content daily and are unable to find new hobbies unless the people around them practice it.
In the 1930s, traveling carnivals were extremely popular. Usually going on trains or caravans, they provided entertainment and showcase unique skills built off of hobbies or pure genetics that allowed them to do certain things. The growth in the carnival market was attributed to the flair that traveling carnivals had, and how their ability to showcase these skills inspired others to do the same.
What it does
“Flying Caravan" is a space where everyday people can showcase their hobbies and personal skills to others for “tickets”. Tickets are used to then to “visit” other people’s showcases, creating a cycle of learning. For many, it’s hard to learn new skills because the market purely prioritizes money. Instead, Flying Caravan creates a sense of community as people directly connect with one another instead of through the website’s host or social media platform.
How I built it
The first thing we did was draft ideas for the concept- we wanted the traveling carnival theme to stick throughout so we included fun and wacky colors, vintage photos, and ran with the circus-like design. The UI took about two hours to sketch and revise, whereas the rest of our time was put into how we could showcase how it was different than other learning platforms such as Udemy. I, Yasamean, took over the front-end development and any revisions to the design, and Fiona my teammate took over UX and other such features. It was completely made of HTML and CSS.
Challenges I ran into
We were sadly not able to use repl.it as a web host for our domain in time so we had to stick with using repl.it as our main website. For the front-end, formatting the divs and search bar, as well as creating a gallery page (which we didn't get to) became time consuming and some of the above became scrapped ideas as a result.
Accomplishments that I'm proud of
The UI Design for the website! We implemented a lot of time into finding colors, vintage carnival and circus designs, and overall made our landing page as visually appealing as possible.
What I learned
This was my first time attempting to use a bought domain! Although the CNAME didn't link in time, the process of using something other than the website host was a great learning experience.
What's next for The Flying Caravan
Implementing databases and AR/VR so users can see what it would be like to play instruments or do certain expensive hobbies at home.
Built With
css
html
Try it out
flyingcaravan.yasameanzaidi.repl.co | #7 The Flying Caravan | The Flying Caravan is a website that allows direct communication from user to user through the form of learning showcases. | ['Fiona Wu', 'yzaididozan Zaidi'] | [] | ['css', 'html'] | 16 |
9,939 | https://devpost.com/software/test-jbgirx | Inspiration
I wanted to provide a fun and interactive way to help promote protection of the environment.
What it does
Through fun facts, solutions, and trivia, people can learn more about the environment and what they can do to protect it in an engaging way.
How I built it
I built my website on repl.it using HTML, CSS, and Javascript.
Challenges I ran into
Initially, I was quite stuck about what to do. How could I promote environmental protection in a way that would get people's attention?
Accomplishments that I'm proud of
the look and design of the website
What I learned
I'm more proficient in programming than web development, so I learned a lot about creating a website. I also learned a lot of new things about the environment when doing research for this project.
What's next for Climate Changers
I want to add more pages so that I can teach people to protect more parts of the environment.
Built With
css
html
javascript
repl.it
Try it out
Hoya-Hacks-2021-Project.vall1.repl.co | #65 Climate Changers | promoting preservation of our precious environment | [] | [] | ['css', 'html', 'javascript', 'repl.it'] | 17 |
9,939 | https://devpost.com/software/4-igreen-site | Mind Map of the Application
Inspiration
One of our teammates visited Malaysia. We were inspired by the technique they kept their society clean. So we wanted our surroundings to be
clean
and people around us should be
responsible
for the waste they throw.
What it does
A user-friendly software application is built. This application collects images from users then the image passes through the verification process. New
Ticket
is created if it is verified. After waste is cleaned ticket closes. For more details please look into our mindmap
How I built it
We used Html, Css, Java Scrpit to build the application.
Challenges I ran into
We tried to cover the edge case (if the image is not uploaded cleaners can create their own ticket after verification)
Accomplishments that I'm proud of
Helping cleaners society makes me proud
What I learned
Completing a website along with my crew being in our house
What's next for #4 iGreen Site
1.Changing our website to a Mobile Application
2.Fix sensors in the high waste index area
3.Automating process to detect image as waste
4.Making as open-source to solve more problems
Built With
css3
html5
javascript
Try it out
github.com
drive.google.com | #4 iGreen Site | Helping Cleaners. If people find waste they can report in the application so it will be helpful to cleaners. This will be a closed loop ,so it will be easy to govern. | ["knock knock studio's", 'ANDREW JEBRAJ GODSON A 18BEE007', 'DEKSHA H'] | [] | ['css3', 'html5', 'javascript'] | 18 |
9,939 | https://devpost.com/software/doctor-bot-hfgy4r | Snapshots of app
Snapshots of app
Logo of app
Team 23
Doctor-Bot
Doctor Bot is a medical assistant app used to diagnose various diseases, suggest medicines and save your report history. The app works on various types of high-level Machine Learning Model. The Machine Learning Model learns the input image and shows you the result. This app consists of a medical bot which guides you the medicine to take according to the symptoms you have. You can even add your report history which gets saved on a custom database.
The idea behind construction of this app was to remove mental pressure of people when they get affected by diseases. During this pandemic when people are not able to visit hospitals frequently, they can use this app to identify what diseases are they affected from. The app provides 89% accurate result. The app even provides medicinal suggestions according to the symptoms you have. During this high time when people fear to go hospitals, they can have the same guidance and suggestions being at home using Doctor Bot.
So, our idea was to create an app which provides 100% guidance and suggestions to a patient regardless of going to the hospital.
This app can have a great impact on our society:
Reduction in use of carbon films.
Secure and safe storage of your report.
Less mental pressure.
Reduction in capital spent on hospitals.
Record history of diagnostic checkups.
Technicalities:
The whole app works on custom database. The backend is made with MongoDB and Express and written on NodeJS.
Libraries Used
UIKit
CoreML
Message UI
AVKit
Foundation
Loafjet: This library is made by one of our developer!
Alamofire
This project is made by the team "The Innova House".
Gokul Nair
Anmol Bansal
Harsh Londhekar
Nikhil Kumar Parashar
Built With
ai
express.js
javascript
ml
mongodb
swift
xcode
Try it out
github.com | Doctor-Bot | a medicine bot | ['Nikhil Kumar PARASHAR', 'Harsh Londhekar', 'Gokul Nair', 'Anmol Bansal'] | [] | ['ai', 'express.js', 'javascript', 'ml', 'mongodb', 'swift', 'xcode'] | 19 |
9,939 | https://devpost.com/software/newser-65yold | team 9: Curious_minds
Inspiration
Currently fake news are getting viral due to social media, it is very necessary to check the credibility of news or other sources before believing it.
What it does
It scraps the news article from the given link, makes the summary of the news article and then it detects whether the news is fake or not. The application can be used by either normal users to check whether the news they face in their daily life is fake or not. It can also be used by Organizations and Journalists for business
needs.
How I built it
I have implemented a django project, and used Cockroach db for storing the information of user and his search history, We used newspaper library of python to scrap the news article from the given url. Using sklearn, we build a TfidfVectorizer on our dataset. we initialized a PassiveAggressive Classifier and fit the model.
What I learned
I learnt to use cockroach db database with django.
future scope
Implementing a map feature so that Users should be able to access a map that visualizes the percentage of fake news detected
Improving the accuracy of the model
by the system around different cities in the world.
Built With
beautiful-soup
cockroachdb
css3
django
html5
natural-language-processing
nltk
python
scikit-learn
Try it out
github.com | Team 9 : Newser | one stop destination to check news credibility | ['Rushikesh Dhanawade', 'Rutuja Dhanawade'] | [] | ['beautiful-soup', 'cockroachdb', 'css3', 'django', 'html5', 'natural-language-processing', 'nltk', 'python', 'scikit-learn'] | 20 |
9,939 | https://devpost.com/software/improov | Home page
Login page (ps. after login, you can join the challenges in the home page)
Your challenges
Creating a challenge
Rankings
Cool user management features
COMPETING FOR: "Staying Sane at Home"
Inspiration
The inspiration for this project came from the concept of a journal tracker, in which one draws a calendar along with a set of goals and checks whether the goal was accomplished or not day by day, like so:
Although this is a very good and creative way of keeping up with your goals, it takes a lot of work to setup and it can be frustrating if you have poor drawing skills like us.
What it does
With the journal tracker in mind, we decided to create a web application that allows for habit tracking without the extra step of having to draw it on An often times overpriced journal.
We also took the world’s current isolation state into account and made it so not only can you create your own goals (challenges), but you can also join in on challenges created by other people and improve alongside them. Our web application contains a score system (Roovies) that increases every time a goal is accomplished, which is then used for ranking people participating on the same challenge; we figured this would be a good way to further encourage the user on their improvement journey, as well as create a community-like environment where every participant is striving to reach the same goal.
How we built it
Our application can be divided in three parts: 1) An
C# ASP.NET
back-end where we used technologies such as Entity Framework Core and LINQ to interact with; 2) Our
PostgreSQL DB
that was setup with ElephantSQL on AWS; and 3) Our
ReactJS
front-end.
Utilising a model-view-controller architecture, our front-end makes requests to the back-end which will then interact with the DB. We also configured CI/CD pipelines for our application on Azure DevOps to be deployed to an Azure App Service under a free-license.
Challenges we ran into
Our team had some trouble setting up the CI/CD pipeline for the project. We were initially using Google Cloud, but ultimately changed to using the Azure Portal because of the quick setup they provide for ASP.NET applications.
Accomplishments that we are proud of
We are particularly proud of being able to build an entire web application with JavaScript + C# + PostgreSQL. For one of our team members it was their first time using those languages and implementing a database.
What we learned
In this project we learned how to setup and manage a SQL database and a CI/CD pipeline. We also learned some embellishment techniques with react bootstrap, such as creating a limited array of colours for an unlimited amount of cards, a static backdrop modal, and so on.
What's next for improov
Next, we plan to create a calendar display for better goal visualisation, as well as implement a data visualisation platform that provides more insight on the user’s improvement based on their goal completion, such as percent improvement and cumulative/daily progress. We also plan to enhance the community experience offered by the web app, such as implementing chat rooms in each joined challenge.
Built With
asp.net
azure
css3
html5
javascript
postgresql
react
Try it out
dev.azure.com
improov.azurewebsites.net | Team #51: improov | Improve yourself with improov. | ['Beatriz Gascon', 'Dan Chiarlone'] | [] | ['asp.net', 'azure', 'css3', 'html5', 'javascript', 'postgresql', 'react'] | 21 |
9,939 | https://devpost.com/software/tba-w5br37 | Inspiration
Our love for classic video games was brought back during quarantine such as
Mario
and wanted to create a more modernized version of the games we loved as children. Thus, we thought up of
6 Feet Apart
.
What it does
6 Feet Apart is a single player game in which the player must try to avoid making contact with incoming "bacteria" and try to survive as long as possible without getting "sick". Once the player makes contact with the "bacteria" three times, they will succumb to a fever which ends the game.
How we built it
The game was programmed through Python using the pygame library. Throughout the duration of this project the group collaborated together through Discord and Visual Studio Code Live Share. We distributed our work evenly among each group member dividing tasks such as visual design, coding, and debugging.
For the artwork, it was created in Photoshop.
Challenges we ran into
Our project came into an issue where it would crash when we tried to implement a collision/hitbox feature on our objects. This problem would also branch into another issue which would cause the program being unable to create multiple "bacteria" on the screen at once.
Accomplishments that we're proud of
Not being too familiar with pygame, the group as a whole is proud of our final product despite not finishing. We were able to create a semi-functional game where we were able to control an object with user input.
What we learned
The group became more aware of the uses of several newer libraries, more importantly pygame.
What's next for 6 Feet Apart
The group plans on completing this project ourselves during our free time even after the HOYA event.
Built With
discord
github
photoshop
pygame
python
Try it out
github.com | 6 Feet Apart (Team #46) | Do your part and stay six feet apart! | ['Kara Huynh', 'Samir Hossain', 'Ryan Yu'] | [] | ['discord', 'github', 'photoshop', 'pygame', 'python'] | 22 |
9,939 | https://devpost.com/software/ment-ai | UI Title Screen
Chat interface
Risk Of Harm Prevention
COVID Responses
Contacting Authorities in the Event Of Suicide
Inspiration
A friend expressed how straining COVID has been on his mental health. He is reluctant to visit healthcare facilities to avoid contracting COVID. Because he lives with 86 year old grandmother, he is afraid of passing the virus to her since she is susceptible to adverse effects of the virus. As such, he does not have access to the help that he needs.
What it does
MindfuL is a virtual chatbot web application that provides immediate psychiatric help for those in need.
Services include advice, uplifting messages, references to informative material, contact information for support groups and specialists, and emergency Services. Dialogue was consulted by practicing psychologists and linguists to obtain optimal results.
How we built it
MindfuL is powered by Google Cloud Platform, .NET Winforms, and Twilio. The front-end is a Winforms app built with C# and the backend server is a Flask app written in Python on a Google Cloud Compute Engine instance. The app uses the Twilio SMS API and the following Google Cloud services:
Dialogflow
Firebase
AutoML Sentiment Analysis
Custom Search
Translate
Maps
Compute Engine
Challenges we ran into
Setting up the individual components posed some challenges, especially bypassing some firewalls for the Compute Engine instance. Then capturing the nuances of psycho-analysis to obtain the best results posed some issues as well.
Accomplishments that we're proud of
The accuracy of the sentiment analysis model provided some promising results. We were able to effectively diagnose many instances of depressing and suicidal verbiage. This is promising for the future development of this product. We see the potential with this project to really help a lot of people.
What we learned
What we learned is the complexity of psycho-analytics and the abstract nature of the human mind. Despite the difficulties of this, we learned about the commonalities of human behavior to build a system that can effectively pick-up on behavioral patterns. With the proper intents, we found that we can generate positive conversations.
What's next for MindfuL
To optimize the performance of MindfuL, the following will be done:
Obtain more professionally-reviewed & contributed data
Improve sentiment analysis to better grade rhetoric
Improve Dialogflow for optimal user experience
Login feature to maintain past conversations
More accurate predictions of user intents
More applicable material for assistance
Add computer vision capabilities to analyze common physical cues of depression
Add social network to create a supportive community
Engaging activities to inspire confidence and raise morale
YouTube videos for How-Tos and inspirational videos
Built With
automl
compute-engine
covid
dialogflow
firebase
google
google-cloud
google-maps
google-translate
machine-learning
mental-health
natural-language-processing
sentiment-analysis
Try it out
github.com | MindfuL #54 | Have you been negatively affected by COVID? Do you lack access to mental health specialists? Then MindfuL is for you. | ['Chidi Ewenike', 'Cody Spjut'] | [] | ['automl', 'compute-engine', 'covid', 'dialogflow', 'firebase', 'google', 'google-cloud', 'google-maps', 'google-translate', 'machine-learning', 'mental-health', 'natural-language-processing', 'sentiment-analysis'] | 23 |
9,939 | https://devpost.com/software/reflectlio | Frontpage
User's interest
Personal logs and entries
Day-to-day well maintained color-coordinated analytics page
Assitive chatbot using Dialogflow
Project submission by Team 62, Pied Piper
Project Name: Reflectlio
Inspiration
The ongoing pandemic has taken a toll on people’s mental health across all age groups. While it is important to take the necessary steps to maintain social distancing and hygiene, we need to look into our emotional well being during such trying times. We can monitor mood swings and unexpected behavioral changes by keeping a log of our emotions on a daily basis and judge the pattern that occurs over a particular time period.
What it does
A web application that can help you monitor and track your mood by providing you with insights on your behavioral patterns. The analysis will be through a color-coordinated graph, based on your interests and daily diary entries, along with an in-built activity suggester chatbot to guide you better as per your mood.
How does it work:
Create an account by signing in.
Add your own interests, hobbies, and routine commitments, category-wise under Leisure, Learning or Productivity.
Maintain your diary logs and entries by entering your mood range (from 1-10) for that particular day and a brief description if you wish to.
Our virtual assistant chatbot can help you suggest activities and how to make your day more interesting and productive.
Keep a check on your day-to-day mood swings through a well-maintained and color co-ordinated graph analysis.
Challenges we ran into
Google cloud integration
Route sub-connections
Firebase Database issues
Limited Google Cloud Experience
Difficulties merging frontend with the backend.
Accomplishments that we are proud of
Proud of using the Google Cloud Platform
Integration of real-time Forms and Database
Chatbot
What's next for Reflectlio
Daily reminders
Peer connecting
Built With
bootstrap
css3
dialogflow
express.js
firebase
google-cloud
html5
node.js
Try it out
reflectlio.space
github.com | Team 62 - Reflectlio | A journal utilizing artificial intelligence to help you structure and reflect upon your daily thoughts and problems. | ['Daman Lamba', 'Disha Lamba'] | [] | ['bootstrap', 'css3', 'dialogflow', 'express.js', 'firebase', 'google-cloud', 'html5', 'node.js'] | 24 |
9,939 | https://devpost.com/software/spaceshooter-game | Introduction
The classic retro game recreated using Pygame and python.
Environment
OS: Windows10
Python: Python3.5+(have installed necessary dependencies)
Usage
Step1:
pip install -r requirements.txt
Step2:
run "python Game10.py"
Game Features
Health bar for the space ship
Score board to show how you are faring so far
Power ups like
shield: increases the space ships life
bolt: increases the shooting capability of the ship by firing 2 to 3 bullets instead of one at time.
Custom sounds and sprite animation for things like
meteorite explosion
bullet shoots
player explosion
3 lives per game
Fun to play :)
Controls
Button
Move Left left
Move right right
Fire bullets spacebar
Quit game Esc
Built With
pygame
python
Try it out
github.com | SpaceShooter Game | The classic retro game recreated using Pygame and python. | ['Sahibdeep Singh Sodhi'] | [] | ['pygame', 'python'] | 25 |
9,939 | https://devpost.com/software/jqb-5dhztk | JQB
Recommends students their dream jobs.
Link
https://hereugo.github.io/JQB/a.html
Description
During the pandemic jobs became limited and many people got fired.
JQB project will find your dream job after asking some questions about you!
https://github.com/Stafferson/JQB-mobile/tree/main
Built With
css
figma
html
java
javascript
Try it out
github.com
github.com | JQB | JQB - JoB Quiz. Due to the coronavirus pandemic, unemployment has increased worldwide. Therefore, our app will help you to find your spheres of interests. | ['Amir Nurmukhambetov', 'Amina Tushakova'] | [] | ['css', 'figma', 'html', 'java', 'javascript'] | 26 |
9,939 | https://devpost.com/software/safespacebot | Inspiration
Gender discrimination and gender-based verbal abuse are prevalent all over the world. This is a small step to set the world right.
What it does
This bot detects gender-based verbal abuse and deletes the messages and warns the user about their activities
How I built it
I built it with the help of discord.py library.
Challenges I ran into
Experimenting with discord bots for the first time.
Accomplishments that I'm proud of
The bot is up and running and serves its purpose
What I learned
I learned how to make discord bots and use discord.py library functions
What's next for SafeSpaceBot
To enhance its features and block the user who uses these words after x uses.
Built With
discord.py
python
Try it out
github.com | SafeSpaceBot | A discord bot to prevent gender-based verbal abuse on servers | ['Rakshaa Viswanathan'] | [] | ['discord.py', 'python'] | 27 |
9,939 | https://devpost.com/software/knitwits-6mxboh | Home Page
About Us Page
Knitting Pattern Page
Custom Knitting or Crochet Pattern
Google Cloud
Firebase
Inspiration
We were inspired by knitting and crochet as all three of us found it to be soothing amidst the turmoil resulting from COVID-19. It's a fun and rewarding way to stay safe at home.
What it does
KnitWits is a tool for creating, saving, and sharing custom knitting and crochet patterns with others. On it, users can load patterns, read patterns by section, create custom patterns, and share them with others using hashes. The frontend was designed in React and Materials-UI with an eye for clean, elegant design. It stores patterns on a Firebase RTDB which it accesses through a Flask API deployed to Google Cloud App Engine as a micro-service. The React app was deployed to Google Cloud as well.
How I built it
We built this website in React, and Emily designed our UI with the MaterialUI library. Meanwhile, Ananda set up the API using Python, Flask, and Firebase. Plus, this site is hosted on Google App Engine.
Challenges I ran into
We had difficulties with deployment and with using React, which most of our team was unfamiliar with prior to the hackathon.
Accomplishments that I'm proud of
We are proud to present a CRUD full stack application. In particular, we are proud of the functionality to create a custom knitting or crochet pattern that can be uploaded to the database and pulled using a hash code.
What I learned
All three of us deepened our knowledge of React, in particular about states, the life cycle, and Material UI. In addition, we learned how to cooperate in a virtual format.
What's next for KnitWits
In the future, we would like to have a more accessible UI design, user accounts, and the ability to upload knitting or crochet patterns from other websites. In addition, we would like to have more content on the web page, including more patterns as well as links to tutorials.
Built With
appengine
css
firebase
flask
google-cloud
html5
javascript
jsx
materialui
python
react
Try it out
knitwits.ue.r.appspot.com
github.com
knitwits.online | [Team 40] KnitWits | With KnitWits, users can track their knitting and crochet projects as well as design their own! | ['Emily Rhyu', 'Ananda Montoly', 'Sarah Abowitz'] | [] | ['appengine', 'css', 'firebase', 'flask', 'google-cloud', 'html5', 'javascript', 'jsx', 'materialui', 'python', 'react'] | 28 |
9,939 | https://devpost.com/software/twitteristic | Logo
Your twitter feed - flagged (red - toxic, blue-fake)
Your twitter feed - flagged (red - toxic, blue-fake)
Blurring toxic tweets
Extension popup - Analytics of your twitter feed - changes dynamically
Inspiration
The anonymity of people over the Internet and Social media platforms can make them spread fake news and use toxic comments that they wouldn't normally use in daily life. We found that a chrome extension would be both easy to use and effective in solving this problem. Our project draws from these observations to build a chrome extension that can flag such content on Twitter.
What it does
Once the chrome extension is installed in the browser, it automatically flags fake and toxic content from your feed. The extension sends each tweet to the Backend built using Flask and Tensorflow where each tweet is classified into fake or not fake and toxic or non-toxic. Both these tweets are flagged in different colours so users can ignore them whilst going through their feed. In addition to flagging the tweets, users can also view a summary or report of their twitter feed through visually appealing pie-charts and can also blur out all the tweets classified as toxic so that they won't be viewing them at all.
How we built it
The application has been built using Javascript(for the Frontend - chrome extension) and Python(for the Backend). Initially the Javascript code reads each tweet from your twitter feed and sends it to the Backend which is a Flask API. Here, BeautifulSoup is used to parse the content, author and every detail of the tweet(Although the current model only uses the tweet content, the number of likes and retweets can also be included as features quite easily). Two deep learning models, one for classifying if the tweet is fake and the other for classifying if the tweet is toxic have been built using Tensorflow. Finally the results of these models are passed back to the Frontend where fake and toxic tweets are flagged. The visualization of the twitter feed is done using google charts.
Datasets and models used
The fake news dataset used :
link
. A
deep learning model
with two layers was built using Tensorflow and trained for 6 epochs yielding an accuracy of 0.9925 in the test dataset.
The toxic comments dataset used :
link
. A
bidirectional LSTM model
was built using tensorflow and trained for 2 epochs yielding an accuracy of 0.9934 in the validation dataset.
Challenges we ran into
Connecting the Javascript code in the Frontend to the Flask API was a major challenge we faced. Also this was the first time we had built a chrome extension and it was a fantastic learning curve. We have learnt a lot and gained confidence to build more chrome extensions in the future.
Accomplishments that we're proud of
We are proud of having built a chrome extension. The application works in real-time, without much lag which was heartwarming. Using deep learning to solve day-to-day problems was the major inspiration behind our project and we hope that with a few other changes, this application can be useful for twitter users.
What's next for Twitteristic
Twitter is just the starting point for the application. The same logic can be used to make it work on news articles or basically any content on the Internet. Our goal is to stop the spread of hatred and toxicity among people and make the world a better place, in a small way.
Team
Team #45
Built With
chrome
flask
google-chart
javascript
keras
natural-language-processing
python
tensorflow
Try it out
github.com | Twitteristic (Team #45) | A chrome extension that flags fake and toxic comments in your feed along with providing an analysis on your session | ['Suraj Subramanian'] | [] | ['chrome', 'flask', 'google-chart', 'javascript', 'keras', 'natural-language-processing', 'python', 'tensorflow'] | 29 |
9,939 | https://devpost.com/software/crednews | Main page
Login page
Team no. 70
Inspiration
There has been a rise of fake news that is also haring the society. Fake news was also one of the reasons that caused people to outrage and attack on the Capitol, this month. There was a simliar outrage by alleged farmers in India, who started to protest violently because of fake news. These are just 2 of the unfortunate events that have occured in a span of time. To create awareness amongst the youth and other age groups, it is important for everyone to be aware of what is fake and what is authentic, and this is a reason why I created it
What it does
So basically, it is similar to any other news platform, but the UI is very different. UI seems to be like a Chat Application and is very attractive. But in addition to these things, there will be a credibility %, which will give users an idea of how true this news is. The credibility will be based on different criteria, that one will have to fullfill. Right now anyone can write an article using google login, so that everyone from this hackathon can take part on it.
How we built it
We built it using ReactJS, Redux, Google Authentication, Firebase and Material UI.
Challenges we ran into
The biggest challenge was that I was working on a Virtual Machine and the time wasn't synced with my laptop. As a result, when I commited, it showed that I had started working on it 6 days back. Anyways, we were able to sort out with MLH, and they said that it should not affect your submission criteria.
Accomplishments that we're proud of
We tried pair programming for the first time Virtually, using VSCode Live Share
What we learned
We Learned redux
Their was an issue while I was working on the project, as my Virtual machine's time wasn't synced with current time, it resulted in commiting 6 days back on github. However we talked with MLH had they asked to tell this, so that the judges get to know
Built With
firebase
material-ui
react
redux
Try it out
cred-news.web.app
crednews-admin.web.app
github.com | CredNews (Team: 70) | CredNews is a free-speech/blogging website for everyone. People can read the articles in it as well as write an article. In addition to this the article will be given credibility based on our research | ['Vistrit Pandey', 'Ayush Pandey'] | [] | ['firebase', 'material-ui', 'react', 'redux'] | 30 |
9,939 | https://devpost.com/software/hoya-hacks-team-68 | Green Medical
Green Medical is an application where you can check your health from anywhere around the globe. It offers various features such as:-
The web application provides a platform to search nearby Hospitals, Atm's, Pharmacy etc.
It also offers you to check your nutitional diet daily.
Green Medical is fully secured application with high accuracy.
It also has a feature to book an appointment with the doctors in just two clicks.
It also has a feature to directly chat with the company representative.
Web-App Link
https://kunal-26.github.io/Hoya-Hacks---Team-68/
Built With
css
html
javascript
php
Try it out
github.com | Green Medical | Green Medical - A Complete Healthcare Solution | ['kunal jain'] | [] | ['css', 'html', 'javascript', 'php'] | 31 |
9,939 | https://devpost.com/software/upcycle-3952ty | Inspiration
We wanted to target a really large variety of customers, so a product that solves environmental issues would affect every single person on the planet. We learned about the dire issues regarding recycling in Asian countries and how much recyclable waste is ending up in landfills due to people’s ignorance. In fact, out of 75% of trash that’s recyclable, only 35% is actually recycled.
What it does
Our app will potentially allow the user to take a photo of any item they wish to dispose of. Our developed ML software will analyze the data and identify all aspects of the image. The software will then categorize the item based on its facets and will inform the user how to dispose of it or reuse it in the most effective and easiest way. Our app has multiple features that help users meet new people, do something good for the Earth, and efficiently throw their trash away in the correct bins.
How We built it
We used the Google Colab Notebook to develop an image recognition software. We collected over 1000 images to train the model. We actually got amazing results for the lack of time and experience we had. We researched immensely and tried to understand the concept the best we could. We went slowly and developed each part one by one. It was very exciting when we got something to work as we put a lot of effort and time into this project. We also wanted to simultaneously develop an app to implement this software into. Although we wanted an IOS app, it was too complex and we were too inexperienced in the area. We gave it our best shot but then settled for an android app built in Android Studios. We weren’t able to find a way to link the ML into the App but it is an obstacle we are deeply excited to overcome in the near future.
Challenges We ran into
We didn’t have a lot of experience with TensorFlow or any type of ML software. We had to do a lot of initial research to learn about how to use it effectively for our intention. As we were learning about how to use Google Colab, we made a lot of mistakes, but eventually learned from them. It was a hard and grueling trial and error process, but we persevered through the challenges and made our product as accurate as we could. In addition to the ML software, we also had to newly learn how to code an app using Android Studios. It was intimidating and frustrating at first to learn how to use, but eventually, we got it to work and built most of the pages that we had in mind. We spent a lot of time trying to figure out the code to link a camera to the app, and we were close to giving up on many occasions, but when we finally got it working, it was a very huge and exciting moment. With the help and advice of the mentors, we learned that an iOS app would be the best to work with our ML software, and we spent hours of effort into that but unfortunately, we were not able to integrate those together yet.
Accomplishments that we're proud of
We have a working ML model that identifies images at a satisfying accuracy rate. We were deeply surprised and proud of ourselves for successfully achieving a goal we didn’t think we would. We also learned so much due to the trial and error process, along with the immense amount of research. We worked very well together and divided the work up fairly and sufficiently. We had an efficient productivity rate and got so much more done than we had aimed to.
What we learned
We learned that it is important to always save your work every few minutes or so. We also learned a lot about how ML works and what it is used for. We discovered many intriguing things we can do on Android Studios to develop an aesthetically pleasing and user-friendly app. We also learned that we have to devote more time into learning how to develop an IOS app to combine the ML and app together. Another thing we learned is how much thought goes into planning and building a project such as this one. We learned that is it important to be patient and open-minded while working on such an error-prone project; things don’t always go the way you want to but you shouldn’t give up.
What's next for Upcycle
For our future steps, we want to fully develop the app. To do so, we would need to combine all the different aspects that make our app successful. We would need to implement the camera and image recognition software into the app. We plan to make an IOS app through Xcode and an Android app to increase the amount of users. Another plan we have to further enhance Upcycle as an app and brand, in general, is to partner up with multiple nonprofit organizations. Primarily, we would like to partner up with organizations in our area. Obviously, in future years, we want to be partnered with nonprofits around the world. Our plan with the nonprofits is to give back to the community. Essentially, every 100 pictures taken by a user, one tree is planted somewhere in the world. This motivates our users to take as many pictures as they can and give back to make the Earth a better and healthier place. Our events page can also contribute to this. Every 5 events attended by a user or every event hosted by a user results in a tree planted somewhere on Earth. Our end goal is to have a fully functional, aesthetically pleasing, and user-friendly app, along with a successful partnership with an organization that believes in and supports our cause.
Built With
android-studio
css
html
java
ml
python
tensorflow | Upcycle | Upcycle is an app that allows users to take a picture of their waste they want to dispose of and helps them identify how to properly do so while simultaneously being environmentally conscious. | ['Anya Agrawal', 'Aashvi Rastogi'] | [] | ['android-studio', 'css', 'html', 'java', 'ml', 'python', 'tensorflow'] | 32 |
9,939 | https://devpost.com/software/pratibimb-3j8c2q | Brief Ideation:
Changing lifestyle has acutely affected the physical and mental health of everyone. Not only professionals but the younger generation is also facing huge health issues which may further lead to degraded immunity and serious health issues. The circumstances developed during the pandemic, such as increased screen time and staying indoor for most of the time has further worsened the scenario.
The best solution to overcome all the health disorders be it physical or mental is Yoga and Meditation. Not only are these techniques scientifically and philosophically proven but also it has got massive support from the side of government as well.
So we have planned to help out the people inculcate this in their schedule in a very interactive manner by using technologies like AR, AI/ML. Not everyone can go to yoga classes to learn accurate postures and benefits, so we have something for everyone!
The plan is to teach correct yoga poses with the help of virtual AR trainer and then to detect the accuracy of the poses done by the person using the ML model. For the purpose of meditation AI would be used to detect the concentration of the person.
Also, the user would enter his personal sentiments which would then be classified into optimistic or pessimistic approach so that he may feel a little lighter and is aware of his state of mind. The records would be kept for his future reference so that he may look back at all the dark and bright phases he passed through and gain strength from within. Also, a chat bot would be provided to have a track of user’s mental health timely.
Problem statement
WHO report says that one in every 4 people would suffer from mental disorder at some point of time in his life. Sometimes the mental disorders start with very common assumptions and if this is not taken into consideration the issue may be as serious as being depressed or committing suicide. The right thing which needs to be done here is self evaluation and exploration to feel and enhance the positive vibes within and in the surrounding. Now this can be done only by continuous practice of meditation in a right direction but most of the time people are unaware of this and ignore this in the very beginning, eventually succumbing to pessimism.
Apart from mental health, physical health is also degrading day by day. Continuous work hours, tremendously increasing screen time and lack of physical activities in the routine have made people obsessed and unhealthy. Yoga no doubt proves to be the best solution to take care of all the parts and organs along with providing the lubricity and flexibility to the body. But all of these are helpful only when done in continuation and in the correct manner. All what is required is a little bit of effort for a healthy lifestyle.
The problems pertaining to mental and physical health are extremely important to be dealt with for larger benefit of the society. A healthy person is the one who is physically as well as mentally fit. The earlier the people understand the benefit and necessity of a healthy lifestyle the better it would be for the growth of community. The degrading health of newer generation due to the changing lifestyle is of no-good keeping in mind the future of the society. And as rightly said a few minutes of yoga and meditation in a day can change your complete lifestyle and thought process. Everyone agrees that in the prevailing circumstances these are the major threats being faced by everyone and they need to overcome these problems in order to abide by Darwin’s theory – Survival of the fittest.
Brief Solution
Pratibimb (Meaning- Your Reflection)
Pratibimb is developed with an aim to help out the people in their daily yoga and meditation schedule with proper guidance, records and competence. Also the application aims to make the users aware of their thought process and help them in their self-evaluation.
Yogic: The feature is designed to help you out with your yogic postures with the help of virtual AR trainer and tell you your accuracy and progress on the basis of ML model. AR trainer will help you learn correct poses at the comfort of your home while the accuracy detection with the help of machine learning model will help you out in improving your postures in the right manner.
MediCon (Meditation+Concentration): The feature aims to enhance your meditation quality with the help of artificial intelligence. Professional meditational videos would be provided which will help you meditate in the right manner while realtime concentration detection would take place and you will be provided with the analysis report for improvement.
PerceptUs (Our perception): PerceptUs uses AI/ML to figure out your perception of looking at events happening in your life. It could also be used as a record diary which could be referred any time to see the optimistic and pessimistic phases in your life. You are required to enter your thoughts of the day and using the ML Model it will be classified whether its optimistic or depressed. Also the feature is accompanied by a bot to help you figure out your mental health in the basis of questions you answer.
Uniqueness
Currently existing healthcare applications have not yet inculcated yoga training with the help of augmented reality. Pratibimb not only provides yoga training but also detects the correctness of a pose which fulfils the need of going to any yoga training classes. The application is easy to use and beginner friendly, and is definitely a unique innovative approach for the existing problem.
Keeping track of all the meditational records and guiding for future improvement along with analysing the daily data is also a newer approach to solve the mental health problems. The bot provided by azure is accompanied by analysis of your sentiments on the basis of your perception of looking at an event, which is again a novel solution especially for people who want to devote quality time for themselves.
We, team Pratibimb feel that our proposed solution is an effective and interactive way to improve the quality of lifestyle with the help of regular yoga and meditation. Also maintaining a proper record along with the analytical data is also important to see the progress of the user and promote them to increase their accuracy and time.
If selected for the next round we would have the opportunity to connect with the mentors and receive proper guidance to sharpen the idea and fix the loop holes which we might have missed. Working upon the solution in an effective manner is what we hope to do in the next round.
Impact and scalability
The solution is definitely impactful and is applicable for the entire country. Prime Minister Narendra Modi has supported and promoted yoga at a high scale and with a tremendous speed, not only have the people understood it’s importance but millions of people have inculcated this in their life style.
Hence, an application supporting this idea and helping the entire society improve their health is impactful indeed.
Adding, the application has something for everybody whatever be the age group, gender or race and therefore with such a huge target audience the application is no doubt influential.
Moving towards the scalability, web applications are generally regarded as a scalable solution due to easy deployment and maintenance. Apart from being a web platform Pratibimb also makes use of cloud-based ML models which are scalable enough for the use case of a real-time application.
Potential roadblocks
One of the major roadblocks for this solution is that we need to have professional yoga trainers for training the ML model accurately. So that the calculation of accuracy could be precise enough for the users.
For the prototype we’ve trained the model ourselves for a simple pose, but in real-time the application would need professional yoga trainers to make the models work correctly.
Built With
ai
css3
html5
javascript
ml
node.js
Try it out
github.com | Pratibimb | A reflection of your health | [] | [] | ['ai', 'css3', 'html5', 'javascript', 'ml', 'node.js'] | 33 |
9,939 | https://devpost.com/software/lettrbox-3xc0o8 | Inspiration
One of the biggest things that COVID took away from us was human interaction. Gatherings, parties, and get togethers were all cancelled because of COVID. This has led to many people isolating themselves from their friends. There is so much research discussing how healthy relationships and social interaction can improve our mental health leading to a better lifestyle. Our team thought that shooting texts and emails to your friends is meaningless, because their text or message can get lost in someone's inbox. Phone calls can also be insignificant and the conversations could also be meaningless. We wanted to help people maintain a healthy and meaningful relationship with their friends.
What it does
Our website LettrBox, is a platform where users can write digital letters and send it to their friends. Once a person signs up with their email they will be able to view the letters they have received as well as send letters to their friends. The user would be able to write a message and once they enter their friend's username that message is sent to their friend. Their friend would then be able to view that message on their own account.
How we built it
We built a mockup of the website using Figma. The Front-End of the website was built with HTML, CSS, JavaScript, and the Bootstrap library. The Back-End of the website was made with Firebase, Python, Flask, as well as deploying the website to the Google App Engine. We were able to create accounts/sign in people using the Firebase Authentication. We were also able to give users distinct usernames to each user and give ownership to different letters using the Realtime Database. Essentially, the whole sending/delivering letters was done with the Realtime Database. We also registered our domain name "lettrbox.online" with Domain.com.
Challenges we ran into
For half of our team, this was their first hackathon as well as first side project. Some of them were really intimidated and felt like they would not contribute to the project because the other half of the team have participated in many hackathons. Other than this being their first hackathon it was also their first time using HTML, CSS, and the Bootstrap library in a project. Some of our members ran into trouble learning and understanding the Bootstrap documentation because they were also learning HTML and CSS at the same time. It made some of them feel a lot of pressure because we had to complete a project under two and a half days as well as learn some new languages and frameworks. We also had trouble figuring out how to send letters from one user to another, and were stuck on how to complete this feature.
Accomplishments that we're proud of
As mentioned before, it the some of our members very first hackathon, and have accomplished so much in the short time. It was one of our member's first time ever creating a webpage. Some of our members were very proud of what they created because it was their first time being exposed to a web dev project, so it was their first time implementing a form, navbar, and etc. We were very pleased to see each web page interact with each other. It was also our backend engineer's second time implementing the Realtime Database, and they had to configure the website so one user could send a letter to another.
What we learned
We learned a lot about HTML, CSS, and Bootstrap. As well as how to utilize the Realtime Database in different ways.
What's next for LettrBox
We want to implement a way for users to add other users as friends, that way instead of having to input their friend's username, they could just send use a dropdown menu of their friends usernames and select from there. We also want to rebuild the UI to make it more visually appealing. Another feature we want to add is a way to see all of the letters one user has, as well as the ability to delete users. We also want to have some form of notification, just so a user could see when they have received a new letter.
Built With
bootstrap
css
firebase
firebase-authentication
flask
google-app-engine
google-cloud
html
javascript
python
Try it out
github.com | LettrBox #48 | A New Way To Stay Connected With Your Friends | ['Neala Mendoza', 'DannaKai Gozos', 'Kyle Java', 'Nicole Perey'] | [] | ['bootstrap', 'css', 'firebase', 'firebase-authentication', 'flask', 'google-app-engine', 'google-cloud', 'html', 'javascript', 'python'] | 34 |
9,939 | https://devpost.com/software/pomodogo-0ayztj | PomodoGo (Team 55)
A step towards healthier productivity
Track
Staying Stane at Home
Inspiration
The stress of productivity during the pandemic has caused many individuals to struggle with mental health. We wanted to promote a healthier pathway towards productivity that includes maintaining good mental health.
About PomodoGo
PomodoGo is a website that provides a centralized place for productivity and mental health resources.
Building and Development
We began by brainstorming and creating a basic wireframe for the website and its contents. We then used HTML, CSS, and JavaScript to design, program, and implement the various functionalities of our website.
Our Challenges
One of the biggest challenges was the time zone difference between teammates. Nonetheless, strong communication skills helped us manage our time and project well. Another challenge included implementing a sidebar on our website and ensuring that the menu button served as a toggle. However, after watching tutorial after tutorial, we were finally able to implement a toggle through JavaScript.
Our Accomplishments
Even with the obstacles of working virtually and with a time limit, we did a good job communicating and checking in with each other. We’re also proud of creating a website from scratch, especially since neither of us had any prior experience in HTML, CSS, or JavaScript.
Reflection
We learned how to embed JavaScript and CSS into HTML, creating a sleek website design through UI exploration, delegating tasks, and most importantly, communicating and collaborating virtually.
What's Next?
In the future, we would like to expand the target audience for PomodoGo by incorporating resources for individuals who wish to increase productivity at home and/or at work. Another factor we would love to include is an online forum that allows users to share their struggles/successes with productivity during the pandemic.
Built With
css
html
javascript
Try it out
github.com | PomodoGo | A website aimed to increase academic and personal productivity amid the COVID-19 pandemic | ['Sneha Jaikumar', 'Miriam Aguilar'] | [] | ['css', 'html', 'javascript'] | 35 |
9,939 | https://devpost.com/software/carbon-emissions-calculator | Landing page
form 1 parralax
form 2 parralax
form 3 parralax
Custom bubble graph
Alternative custom bubble graph
Heat map
Django backend
Inspiration
We were inspired to help curtail global warming by visualizing carbon impact.
What it does
Our project calculates carbon emissions for residential or commercial entities, and uses data visualization heat maps and bubble graphs to show how your emissions compare to other people all over the world.
How we built it
We used Docker to make sure everyone on our team using cross platform OSs could contribute without dependency issues, and used a Python backend hooked up to a sqlite DB, and used a JS React based front end.
Challenges we ran into
As a team, we had a difficult time implementing a parallax scrolling landing page. A few of the team members were brand new to Docker and we had some issues getting up to speed. We also had some hard time generating the maps and getting the data onto the map, but we all learned quite a bit more about the tool.
Accomplishments that we're proud of
The front end looks incredible, and we are all very proud of it.
What we learned
We all had our specializations such as frontend, backend, and infrastructure. We all were able to flex our skills and be assets for our team, but we all got a chance to grow and try new technologies too; not to mention we all had lots of fun!
What's next for Carbon EmissionSquad
We are planning to add more data visualization, suggest users ways to reach carbon net zero, and write a web scraper to gather online data about companies. We hope to show users more about how their emissions compare not just to our website's visitors, but also corporations or countries.
Built With
css
django
docker
docker-compose
git
html
javascript
python
react
rest-api
sqlite
Try it out
github.com | # 25 Carbon Emission Data Visualization | Our project converts energy use such electricity or gasoline converts it to carbon emissions. The tool also visualizes your emissions and shows how your use compares to other users all over the world. | ['Luke Perry', 'daniellejiaxuan', 'Alex Juan', 'Sulav Acharya', 'Ravi Rosyidi'] | [] | ['css', 'django', 'docker', 'docker-compose', 'git', 'html', 'javascript', 'python', 'react', 'rest-api', 'sqlite'] | 36 |
9,939 | https://devpost.com/software/truenorth | Inspiration
We as a team first found the idea of examining the credibility of information dispersed across the internet in todays society to be a promising and very much needed with all of the false information that gets spread. We wanted to ignite change in the world by starting small and dreaming big. Reddit has more active monthly users than twitter, huge communities full of passionate individuals and unfortunately the combination of these two things can cause heated debates.
In an effort to bring people together and prevent disagreements from arising over objectively verifiable facts, we want to verify comments made and correct false information
. We want to have a moderation tool that enables individuals to apply their own data sets to relevant communities, ensuring cohesiveness. Our name,
TrueNorth
, comes from our quest to find the
TRUE
answer in tandem with
Jonathan Boulanger
and
Mitchell Lawson
being from the North.
What it does
This tool takes targeted subreddits and established data sets to make an assertion about the truth of comments made on these subreddits. To simply put it, we read comments from tournament based event communities. If our program finds an assertion made by a user, it will compare it to a community database and determine the truth of the assertion made. If the comment is false, it will post a reply to the incorrect comment detailing that the assertion is incorrect, and specify why the assertion is incorrect by providing real data from the event.
How we built it
When building this project, we working with our data first along with syntax, grammar and language processing, then developing the logic of shortly after.
We first started with data sets of particular interest to us. Jonathan chose to examine the esport Super Smash Bros Melee whereas I chose to investigate tennis. We found SQLite databases to work with and focused on cleaning the information in Python, where we developed a function to extract this information.
Next we engaged the reddit post and request portion using the Python Reddit API Wrapper (PRAW) to enable us the ability to read from and write to comments to Reddit.
The last and most difficult part was learning to utilize a Natural Language Processing library called Natural Language Toolkit (NLTK), that allows us to define a rich grammar around a well defined language.
Finally we were able to deploy this program on test subreddits with a timer for how often it will run.
It was a success! It accurately verifies the truthfulness of comments and assertions made about known events!
Challenges we ran into
There were many different challenges and obstacles that I overcame as an individual and group.
Working on such a tight timeline trying to put together a working project was a mountain of a task but through excellent time management, it was something that we accomplished well.
Working with two unfamiliar libraries and APIs forced us to exercise patience while reading through documentation so that we could created a well thought out implementation of these tools.
We switched NLP tools from Google's autoML Natural Language Processing to Natural Language Toolkit (NLTK).
Although we started with a well-defined scope, in the end we had to scale our project scope back to create a working and deployable project/tool for moderation on Reddit.
Accomplishments that we're proud of
There are a variety of accomplishments that we made overcoming challenges and exceeding expectations.
We created a
unique, usable, deployable and working program
that can effectively determine the credibility of assertions made and even correct false assertions! This tool can 100% be used to mitigate disputes that arise between users on communities across Reddit, when a dataset is available!
We overcame the obstacles of the social distancing restrictions by adapting to the virtual and online workflow. It was difficult working on the project in completely different cities and timezones as group members and the event altogether, but we made it work through the tools provided to us and the excellent event organizers of HoyaHacks 2021.
We meshed together different tools into a usable product despite major time constraints!
We can promote cohesion amongst communities with our program by returning factual information!
What we learned
HoyaHacks 2021 has encouraged us to adopt a
learn-by-doing approach
. We learned to create a well defined scope given a stringent and tight deadline, increasing our knowledge of our own technical abilities, prowess and project management skills. It was crucial for us to create a reasonable project plan up front, divide work, learn quickly and conquer our tasks. We had to quickly identify what was feasible and unfeasible so that there wouldn't be a loss in efficiency. We each gained experienced applying
Natural Language Processing
techniques and
Object Oriented Design
, in addition to
Reddit's API
. This was Mitchell's first hackathon, so a lot of this was all very new.
What's next for TrueNorth
Although we have great ambitions for how this tool can be used in the future to examine language used in politics and new articles, we have defined crucial next steps to take this project to the next level!
Deploying it onto Google Cloud.
Expand the communities that it is scraping and posting on.
Create a Twitter implementation of it.
Expanding the language that it understands and increasing robustness.
Built With
automl
databases
google
moderator
natural-language-processing
nltk
praw
pycharm
python
reddit
sqlite
visual-studio
Try it out
github.com | Team 53 - TrueNorth | A Reddit moderation tool used to enhance credibility of assertions made by communities by analyzing and correcting users, using well-defined datasets. | ['Mitchell Lawson', 'Jonathan Boulanger'] | [] | ['automl', 'databases', 'google', 'moderator', 'natural-language-processing', 'nltk', 'praw', 'pycharm', 'python', 'reddit', 'sqlite', 'visual-studio'] | 37 |
9,939 | https://devpost.com/software/med-chain-3ar4dh | Login
Medical Org Previous Inventory data Visualised
Map for suppliers info for price and time
Inspiration
Wanted to help and support the front-line workers helping all over the world and wanted to make a project which would make a worry less for them
Always was intrigued by the supply chain part in the healthcare industry and thought it would be great to put all those learning to work
What it does
Help the Medical Organization to get a proper data visualization of the supply chain part of medical equipment from start to end making them better prepared for the future case.
How I built it
Design was using Figma
Development was using HTML, CSS, JS, Bootstrap, PHP, and TensorFlow for the ML part
Challenges I ran into
Finding a good dataset for the training for the model in order to predict the best possible scenario ( now it is 89 % accurate ).
getting Info about the supplier's price and the time for the delivery of the product.
Accomplishments that I'm proud of
Building the ML model was a huge advantage for the project.
What I learned
Product Management Skills
2 How to use Backend tech for the project
Built With
bootstrap
css
heroku
html
php
python
tensorflow
Try it out
github.com | Med-Chain Team #21 | All supply chain needs come together. | ['sanchit banati', 'Devansh Gandhi', 'Ayush Gupta'] | [] | ['bootstrap', 'css', 'heroku', 'html', 'php', 'python', 'tensorflow'] | 38 |
9,939 | https://devpost.com/software/goodnewz | Inspiration
When we hear the word "News" what's the first thing that comes to our mind; Guns, Drugs, militants; we can't deny the fact that News have a massive effect on our thinking and can be depressing and when the news is only looking at the negative angle, when we don't know the source of the news, when the news is heavily biased it is totally unethical; looking at all these problems our team decided to do something, as the world has seen some unprecedented transitions to open technologies like blockchain, now it is the time for News. Hence this project has been inspired by how Blockchain has changed the world and now it aims to change journalism by letting the readers get uncontrolled news, where the news is seen in the angle of people and has no political biases.
What it does
Looking at the current situation of the world where fake negative biased news spreads like wildfire we have come up with a software which has been inspired from the blockchain logic and cryptocurrency trend that tries to indulge the mood of the reader and suggest the news that would suit him; along with It we have developed an independent anonymous ranking system which will be totally independent and based on the likings of the reader also we have developed 111 language support for getting a global outreach so that the whole world can enjoy the new era of jernournalism
How I built it
This project was built by a clear idea of changing the idea of journalism into a very independent, ethical, open and unmoderated industry, To make this idea possible we consumed a lot of coffee and applied skills of Python and HTML, we used Google API's to get stuff translated and with Google Cloud technologies we created a whole workspace. To make the idea possible, coders from 2 extremely opposite timezones collaborated to make this in a very small time span and bring the vision of independent journalism into a reality
Challenges I ran into
Working with teammates from opposite timezones is a problem but we decided to put it to our advantage as working in opposite timezones mean a 24hr working time which we could not afford to lose. After settling out with the time zone problem we managed to align everyone's skillset and started the work. Working with Google API was a new experience for each and every one of us, none in the team had prior experience with API's. hence taking Google API crash course during the hackathon and figuring out licensing with Google API was a challenge but it was solved with time, and we just managed to complete the project in time.
Accomplishments that I'm proud of
All members of Team Trojan Hex can agree upon the fact that meeting new strangers who eventually became friends with time was the most overwhelming experience. Talking about cultures/problems/country on a cup of tea was inturn the best experience for each and every one of us. Along with making friends, we are proud of the fact that we could collaborate and make something new in a weekend also learning on workshops in the hackathon was another thing. We are proud of the fact that we could solve the problems of timezone, colaborating, api's,licencing but we are most proud of making the new friends whom we met during the hackathon.
What's next for know-the-news-around-you
Being a small hackathon we poured all that we could but we can't disagree upon the fact that there are a lot of features that lack in our project. We have hardly worked on the frontend which gives it an unhealthy and unattractive look, which we wish to develop over time. We also agree that by introducing ML for a recommendation feature, and some human behavioural algorithms which we could not add due to time constraints would make the project stand out and ready to use.
Built With
google-translate
html
python
Try it out
github.com
bit.ly
console.cloud.google.com | Team number 11 Trojan Hex | Know-the-news-around-you | ['TusharV88 Verma', 'Anushk Pokharna', 'Simran Sethi'] | [] | ['google-translate', 'html', 'python'] | 39 |
9,939 | https://devpost.com/software/soulplay-team-63 | Inspiration
We were inspired by mood playlist generators and general mental health concerns arising from the pandemic.
What it does
Our website asks users to fill out a survey about their mental health during the pandemic and recommends them a Spotify playlist to boost their mood.
How we built it
We created our application using Node.js and Express.js. HTML and CSS were used for design elements on the webpage.
Challenges we ran into
Linking the user interface to the backend data retrieval was tricky since we were inexperienced with Express.js.
Accomplishments that we are proud of
We were able to produce our product with good UI, and we learned new technologies during the hackathon. Although we were from different timezones, we managed to coordinate and do our work.
What we learned
We learned about pub.js in express to do this and other Java Script methods.
What's next for SoulPlay Team 63
We want to include more features like a powerful algorithm to detect their mode and make them engage with community. We also want to include a feature where people can meet like minded professionals who are doing various jobs to improve networking opportunity.
Built With
adobe-illustrator
css
express.js
figma
google-docs
google-spreadsheets
html
javascript
node.js
typeform
Try it out
github.com | SoulPlay Team 63 | Our website asks users to fill out a survey about their mental health during the pandemic and recommends them a Spotify playlist to boost their mood. | ['Mansi Saini', 'Tejaswini v', 'katsocatso Wang'] | [] | ['adobe-illustrator', 'css', 'express.js', 'figma', 'google-docs', 'google-spreadsheets', 'html', 'javascript', 'node.js', 'typeform'] | 40 |
9,939 | https://devpost.com/software/credibot-v7afg8 | Credibot3
Credibot2
Credibot1
Inspiration
Credibot is a Twitter bot we created that analyzes and rates a new’s publications tweets and Twitter account according to metrics on reliability and bias according to Ad Fontes Media Reliability Bias Chart. We wanted to center our Journalism project around a Twitter bot because often on social media click bait headlines and misleading captions can lead to confusion and misinformation for users. When prompted, our bot can rate a twitter accounts credibility and bias if it is in our database.
We wanted to create a bot that could be used on Twitter to verify the integrity of an article and news publications. Also Matt really wants the Raspberry Pi kit.
What it does
The first feature of our bot is that it can analyze tweets coming from publication accounts. Which way they lean, how biased they are to what side of the political spectrum. Things that are relevant when looking at different news sources. The second feature is when prompted by a user via query search or with a specific article from a twitter account, the bot rates the twitter account’s credibility and bias if it’s in its database using Ad Fontes Media’s Reliability/Bias chart. The entire bot is automated and listens for tweets on its own.
How We built it
To build the bot we used the Twitter API, specifically the built-in Python library, Tweepy. We first scraped all the Reliability and Bias data from Ad Fontes website, and then stored it in a separate file so that we always had it on hand. Next, we created the two functions that would take care of our features. The first one goes through the last 10 mentions in its notifications and responds every two hours. The second one queries through a specific publications twitter and returns a topical article from that specified news source. We then deployed the bot to Heroku where it can automatically update it every two hours.
TLDR
: We built Credibot using Python and Twitters API to perform its core functionality. We also used Javascript and Selenium webdriver to scrape Ad Fontes Media’s databank for sources and their respective reliability/bias numbers. We made a Flask app to serve the bot and deployed it to Heroku to automate it.
Challenges We ran into
Some of the challenges we ran into were as followed:
Issues with Selenium web driver speed and effectiveness. Selenium requires very narrow search results and methods tied to it are asynchronous and this proved difficult to work around. In addition, Ad Fontes Media does not share its API publicly and you can only gain access by paying money for it, so as a result we needed to use Selenium to scrape their public database of some 210 sources and their respective biases and reliability.
We also ran into problems with multiple affiliated twitter accounts with groups. Our bot only rates credibility if the user presents us with a source whose twitter handle matches one on our database. Because many sources have multiple handles for different subjects, ex: ABC, abcnews, abcfinance, abcbusiness, and so on, this create difficulties because a user could input a separate affiliated twitter account and we’d have no way of rating the article, even though we could had it came from an account we had on the books.
Automating the Twitter bot at first was a challenge. We first attempted using Django, but since we were using the tweepy Python library API instead of making JSON requests with Javascript, we decided it would be easier to serve the bot using Heroku with the automatic buildpack. We were able to automate the bot to check its mentions every two hours.
Accomplishments that we're proud of
We are certainly proud of how many sources we included in our database, reflecting a vast spread of opinions. Without access to Ad Fontes Media API we had to make do with workarounds to recover the necessary data which proved difficult, but rewarding as well. We are also very proud of the bot we built this weekend and believe it addresses an important issue in journalism and rating credibility among Twitter and social media users. Credibot can truly help people on twitter see the real story behind current events and news today.
What I learned
I (Matt) certainly learned a lot about Twitter's API which I had never used before. We also learned how to work around different obstacles we didn’t expect to encounter. Neither of us anticipated we’d have trouble automating the bot at all, nor that we’d need to scrape for our sources since there would be so many. We are proud of the project we have made.
I (Rachel) became more familiar with Heroku and automating applications, as well as handling API keys and sensitive information when working in a team.
What's next for Credibot
Possible additions include:
Rating the credibility of unique twitter accounts, not just news sources, based on metrics like retweets, likes, comments compared to the users number of followers and what type of content they post to their accounts.
A “controversial” rating, evaluating different metrics such as if an account is shadow banned, if a certain tweet is getting “ratioed”, or if a user often tweets content that is disputed or flagged by Twitter.
Group Number 58
Built With
flask
heroku
javascript
python
selenium
tweepy
twitter
Try it out
github.com
twitter.com | Credibot #58 | If you want to know the stripped down truth, use Credibot! | ['Rachel Ombok', 'Matthew Boyer'] | [] | ['flask', 'heroku', 'javascript', 'python', 'selenium', 'tweepy', 'twitter'] | 41 |
9,939 | https://devpost.com/software/scrappy | some of the ugliest pictures make for the best memories
Inspiration
As university students, we used to socialize A LOT. Our friend group would have class, then go to the school bar several times a week, and on the weekend hang out and party together some more. For us, having to be apart due to social distancing made a huge impact. We wanted a way for our friends to easily share old memories that would never make it on to facebook or instagram. We wanted a social platform with no pressure and no judgement. A place where you can post nostalgic images of the events you attended together and just have a good time.
What it does
Users can make an account and log in, create a group, and anyone within that group can add pictures. Users can leave a group, invite other users to join the group, accept invites, view the list of group members, add pictures with a caption, view the pictures in a larger format, and add comments. We registered scrappy.space with
Domain.com
and we will host this for our friends.
How we built it
Using
Laragon
as a developing environment with
postgresql
, we made a webapp using
Laravel
with
php
on the backend and
react
with
javascript
on the frontend. We used a bunch of react components with bootstrap, such as the navbar and the content cards. On the backend we used
api.php
and
api.js
to take care of all the routing and the database queries.
Challenges we ran into
Setting up the Laragon dev environment took hours! The installation and configuration was different from computer to computer just enough to cause us a few troubles early on. Learning react on the fly and working with php were also fairly new to us as a team. Things like not getting proper error messages and spending hours on a 2-second bug fix that was just missing the .bind() method was the worst! Struggling with placing buttons and how to deal with the react components was another nightmare that we dealt with.
Accomplishments that we are proud of
Being able to use the software almost perfectly! We hit our main targets: uploading images, viewing them, making users and groups. Battling and winning against CSS and also keeping a neat backend that makes sense. Participating in the hackathon challenges such as the #MyOctocat challenge and the Air force security challenge were also great accomplishments and lots of fun.
What we learned
React is difficult to work with sometimes, and is not very clear about errors its encounters. Using the inspect element was very helpful and saved us a lot of time. We also learned about domain hosting and more about CSS than we ever wanted to.
What's next for Scrappy
The next phase of Scrappy is implementing anonymous groups, the ability to remove posts, add a flag/report button for removing inappropriate content and adding tags to images so that we can filter by event. Besides the little stuff, we really do plan to host this for our friend group. There are so many pictures we never got to see, and we want those memories!
Domain.com: scrappy.space
Built With
bootstrap
javascript
laragon
laravel
php
postgresql
react
Try it out
github.com | #14 - Scrappy | Scrappy pictures make the best memories. This is a platform to share pre-covid pictures of you and your friends that you would never share elsewhere. | ["Brianne O'Gallagher-Roy", 'Philippe Merariu', 'Alec Adub', 'Ariane Drouin'] | [] | ['bootstrap', 'javascript', 'laragon', 'laravel', 'php', 'postgresql', 'react'] | 42 |
9,939 | https://devpost.com/software/twitfilter | Inspiration: Wanting to stay informed but also wanting to have a good day.
What it does
TwitFilter filters twitter feed, ranks tweets as positive or 1, neutral or 0, or negative or -1. Twitfilter then breaks down where the negative tweets are coming from to allow users the option of bypassing negative tweets, thus having a good day.
How I built it
TwitFilter was built using Flutter on the front end, Jupyter notebooks for the analysis and Firebase for the user authentication and database. Coded in Python using Django.
Challenges I ran into
Twitterscraper has been disabled due to abuse from current political events :(
For demoing purposes we went with a static JSON file to use for data visualization.
Accomplishments that I'm proud of
Being at this event and presenting a prototype.
What I learned
Although the twitterscraper was disabled, I did get to play around with Jupyter notebooks and run a few commands.
Built With
dart
django
flutter
jupyter
python
Try it out
github.com | TwitFilter (#13) | Filter of twitter feed to avoid seeing post that may negatively impact your mood | ['Rahul Raj', 'Jiyoung Yoon'] | [] | ['dart', 'django', 'flutter', 'jupyter', 'python'] | 43 |
9,939 | https://devpost.com/software/terrafit | TerraFit
Finding donation centers in any location
Guides on sustainable fashion
A virtual garden to encourage donation clothes
TerraFit community where users can upload clothes to give away to other users
Scanning an article of clothing to get recommended clothes from TerraFit
Inspiration
It’s clear that
textile waste
is a major problem harming the environment. On average, Americans throw away
14 million
tons of clothing each year, even if it’s still wearable. In fact, one in three women consider an article of clothing worn once or twice to be old, contributing to their decision to dispose of clothes that are in good condition. And because people mostly throw away their clothes rather than recycle them, textiles may sit in landfills for over 200 years, leaching toxic chemicals into the environment or releasing harmful greenhouse gases.
What it does
TerraFit aims to connect people to each other through clothes.
Users can register for an account and find nearby places to donate the clothes they no longer want by uploading their zip code. They can also choose to upload a picture of their clothes and donate it to other members of the TerraFit community. On top of that, with tensorflow, a library for machine learning, the website suggests certain types of clothing for the user based on the pictures they scan. Then, for each article of clothing they donate, they receive a flower to plant in their virtual garden! As an added bonus, TerraFit also includes guides for members to read relating to sustainable fashion.
How I built it
We used Python to web scrape for locations of donation centers as well as to implement the tensorflow model into the code. We primarily used Python to code the functions of the website, and we then utilized html and css to create each webpage. Then, we used Flask to connect the backend Python programs to the html pages.
Challenges I ran into
We struggled to implement the tensorflow model into the website and connect that to the webcam in the browser. However, we were able to add a webcam in the browser that allowed users to scan items, which would then recommend clothes based on the scanned item. Also, none of us had experience designing a website, so we had to quickly learn html and css.
Accomplishments that I'm proud of
We are proud of creating an organization that promotes sustainable fashion without sacrificing fashion. We also love how we branded TerraFit; its brand colors are continuous throughout the website and the info guides are clean and easy to read.
What I learned
This project was the first time we implemented Flask for a webpage, so we had to quickly learn how to use Flask. Also, we incorporated tensorflow in order to identify the article or clothing scanned and recommend clothes based on that, and we had never used tensorflow in Python before.
What's next for TerraFit
Sometimes, clothes can’t be reused. So, we want to expand TerraFit to aid with recycling clothes too by allowing users to find local recycling centers or providing guides on how to recycle clothes. We also hope to add more data for the tensorflow to learn so that it provides more accurate suggestions of clothing for each user.
Built With
beautiful-soup
css
flask
html
javascript
python
tensorflow
Try it out
github.com | Team 44 -TerraFit | Finding new homes for old clothes – with a twist. | ['Jacqueline Wu', 'Josephine Wu', 'Theo Schweizer'] | [] | ['beautiful-soup', 'css', 'flask', 'html', 'javascript', 'python', 'tensorflow'] | 44 |
9,939 | https://devpost.com/software/wastearn | Inspiration
What if earning from scrap is possible. The easiest way to earn that would do no harm and also be of use to others. WastEarn came in action!
What it does
Once the user registers to WastEarn, he/she can buy scrap/unwanted waste material from household and companies and sell it to organisations in need of waste.
Here the waste buyer can register as a company and buy wastes from people of the city. The waste producer can submit a request to sell his waste’s. Immediately after which the buyer will be mailed with the details of the seller. This will make the process convenient and more feasible. If there are no buyers is a particular city the seller will be prompted with an alert message of “No Service Available”.
How we built it
First, we made a basic website for WastEarn using HTML/CSS and Bootstrap for the UI. We then developed the data queries through MongoDB. To complete the working we used node.js and express.js for the server-side.
Challenges we ran into
Working on the node.js as a beginner was tough but we completed the required things through different resources. We had to solve many bugs during connection of the server-side.
Accomplishments that we're proud of
Completing the project before time!
What we learned
WE learned express.js and node whole making this project
What's next for WastEarn
Adding Google maps for better transportation for the seller.
Adding a chatbox for safe communication between the seller and buyer.
Built With
bootstrap
css3
express.js
html5
mongodb
node.js | Team 18 | Earning from scratch from scrap! | [] | [] | ['bootstrap', 'css3', 'express.js', 'html5', 'mongodb', 'node.js'] | 45 |
9,939 | https://devpost.com/software/prismo | Inspiration
I wanted to build a simple application that would allow people to take control of their personal finances with principles of user convenience and ease of use in mind. It was meant to serve as a response to the overcomplicated applications that are used by others, cutting back on arcane features to focus on what matters in personal portfolio management.
What it does
It is a web application which serves as a useful tool of core features that gives users the bare necessities for keeping track of their finances and assets. Users are registered into a common system through accounts, from which they can view their current assets in terms of stocks on the market and their current cash reserves. From their portfolio, users can trade by selling varying amounts of stock they own and buying new stocks based on current market prices. Users can also make quotes about market prices for specific stocks by ticker symbol and keep track of their transaction histories.
How I built it
The application was built using a Python Flask web framework, with SQLAlchemy used as a supplemental framework to support database queries needed to perform trading transactions. Elements of JavaScript, HTML, and CSS were also used to render the bulk of the web application web pages and other relevant templates.
Challenges I ran into
There were times in which I had struggled to incorporate some of the more complex web browser rendering elements into the application, with some difficulties in properly generating the pages initially.
Accomplishments that I'm proud of
For the most part, the web application was a great achievement as I was able to construct a working implementation of the idea that I had set out to build in the form of a personal finance assistant. I was able to successfully integrate many backend frameworks and functionalities with frontend development elements, creating a full-stack experience.
What I learned
I learned much about the principles of full-stack development, leveraging my knowledge of backend web frameworks and databases with principles of frontend design and features.
What's next for Prismo
Potentially, more features may be added to help augment the personal finance experience for users, including expanded portfolio management functionalities with regards to not only stocks but other types of financial market assets. There is also a chance that the application will be bolstered with additional features related to financial news reports.
Built With
css
flask
html
javascript
python
sqlalchemy
Try it out
github.com | Prismo | A handy personal finance assistant for all of your management needs | ['Michael Zhou'] | [] | ['css', 'flask', 'html', 'javascript', 'python', 'sqlalchemy'] | 46 |
9,939 | https://devpost.com/software/wavelength-7ohplf | A Bob Ross done in Microsoft paint.
Here's a simple web version of
Wavelength
, a game about scales and guessing.
Built With
socket.io
vue
Try it out
github.com | Wavelength | A game about scales and guessing. | ['Michael Tang', 'Adam An', 'Robert Phillips'] | [] | ['socket.io', 'vue'] | 47 |
9,939 | https://devpost.com/software/tessellate | Homepage of Tessellate
One person remembered
Two people remembered
Three people remembered
Track
• We are submitting to the Staying Sane at Home track.
• We are also submitting a domain for the Domain.com competition.
Inspiration
• We were inspired by the idea of a digital time capsule. In the digital age, it is difficult to live in the moment and appreciate our relationships. Apps like Facebook or Instagram encourage us to build many superficial relationships rather than focus on the ones that are truly important. Our app asks you to select three people in your life and immortalize them in a digital “time capsule.” This forces you to think about your most important relationships: the ones that you want to keep five, ten, or fifty years from now. We want you to come back to our site from time to time and remember who was, and is, truly important to you.
• People are having a harder time connecting with their friends and peers when forced to stay at home during the recent pandemic. This reduced amount of social contact has led to a decline in the sense of well-being for students and faculty alike.
What it does
• Our app allows you to reflect on your most meaningful relationships and store them on the site as long-term cookies. When you first visit our site, three entry boxes will appear, each with a “remember” button. Once you click submit, the name is locked into memory: the entry box and submit button disappear permanently, leaving only the name. This can only be reversed by erasing the cookies. Additionally, a slideshow of inspirational quotes allows the user to build an even greater appreciation for their relationships.
How we built it
• We used JavaScript, HTML, and CSS to build our app. We stored and accessed cookies using the DOM to store the information in the browser for future access.
Challenges we ran into
• We originally planned to focus on making an app that reminds you to call your friends, but we realized that there was no way to efficiently do this with a web app. A website has no way of sending you a reminder unless it is open, so it would be cumbersome for our user to keep our website open at all times. While we looked into using a database to store this information and send notifications, we felt like this would be too technical given the constraints of time and our level of expertise during this hackathon. We also realized that people may already receive many notifications every day that take them out of the moment, and we wanted to avoid that with our app.
Accomplishments that we're proud of
• Identifying a significant problem, proposing solutions, implementing a solution, and pivoting to new methods based on the situation.
• Learning new JavaScript frameworks and methods and quickly deploying them in our app.
• Building a functional project and publishing it.
• Collaborating with a team virtually rather than in-person.
What we learned
• We learned how to collaborate synchronously from different networks using git and GitHub.
• We learned the basics of React in order to explore our initial idea of building a notifications-based app.
• We learned the Document Object Model to dynamically control HTML and CSS elements using JavaScript.
• We learned to work together as a team through the entire progress from ideation to problem-solving to production.
What's next
• We hope to further implement our vision for a user-friendly application that encourages users to form deeper connections (rather than simply more connections) through the non-invasive methods of sending time capsules of what matters to you right now into the future and of keeping track of your connections with others on a simple data visualization screen.
• We hope to port our web application into native mobile applications to allow for greater portability of our software.
• Additionally, we hope to implement a backend database for keeping track of user profiles and their close connections so that they can access their information from any platform without depending on local data storage.
Built With
css
html
javascript
Try it out
best-domain-registered-with-domain-com.github.io | #1 - Tessellate | Remembering the importance of your connections during a pandemic. | ['Q Z', 'mojorge Zhang', 'a-ya19 Yang'] | [] | ['css', 'html', 'javascript'] | 48 |
9,939 | https://devpost.com/software/mood-cheerer-ifgzw2 | Main Page
Staying Sane at Home
Inspiration
Many of us are facing mental health issues, and we are trying to find a way to help to relieve stress or any other kind of mental health issue. So we decided to make an app to help to ease the stress for the user to help to make them feel better-using music, jokes, motivational thoughts, and so on.
What it does
There are 3 options where the user can choose from. If the user is feeling angry, or frustrated, or depressed, they would click on the "anger" button, where a 2-minute long soothing music will be played to ease their stress. If the user is feeling anxious, they can click on the anxiety button where random funny jokes will be popped out so the user can have a good laugh. And lastly, if the user is feeling sad or depressed, they can click on the sad button where random motivational thoughts and quotes would be shown to cheer them up. Lastly, if the user wants to share their thoughts, they would share them by clicking the bottom button to type something in and share their thoughts.
How we built it
We utilized the Android Studio software to create our app, and incorporated code to add features and improve functionality and design.
To display jokes when the user is anxious, we used the random algorithm in the backend that picked a short joke at random from a list of jokes, which makes it more engaging for the user. Likewise, the motivation thoughts are displayed using the random algorithm in the backend.
Challenges we faced
Most of us were developing an Android App for the first time. We had to figure out its installation and embedding video in our Android App.
Accomplishments that we're proud of
We feel proud to develop a working android app that aims to cheer up people during this pandemic. This is a great achievement for us as a team as we are still beginners to hackathons. We feel accomplished to be able to put our thoughts and ideas into a working android app.
What's next for Mood Cheerer:)
We aim to make the app more helpful by adding more features:
a. A page where users can seek help from doctors in their area.
b. Add more features to boost their negative mood.
We hope to expand past Android as well and offer our app for iOS users.
Built With
android
android-studio
css
java
Try it out
github.com | Mood Cheerer | Addressing Mental Health Concerns During the Pandemic | ['Kathy Gong', 'Agna Parikh', 'So May See Macy'] | [] | ['android', 'android-studio', 'css', 'java'] | 49 |
9,939 | https://devpost.com/software/20-team-hi-light | Hi.light was created due to the social distress this pandemic has created. With everybody being confined to their homes, being social and going out has been put on a pause, for the safety of the world. Headlines on the pandemic destroying our social skills have been circling the news for months, and we certainly feel it as well. With that being said, we wanted to create a platform that allows us to be able to interact with people - just virtually. Hi.light hosts thousands of at-home activities that can be done in sync with friends, family, or anyone looking to engage with someone. Feel like you're in the mood to make some donuts? Hop onto Hi.Light and find a recipe to get started. Why do it alone? The best part of Hi.Light is to be able to hop onto a video call, engage in activities, and learn - all in one setting. Think of it as Discord, Youtube, and Omegle on steroids. Make the most of your virtual experience and continue to make highlights in your life.
How did we decide to build this? One day our team member Tanjinul decided to enroll in this Hackathon and decided to recruit Vincent and Tasfia because he had no other friends. Given the time restraint, Tanji really wanted to learn how to use Figma, where we can design and prototype an app.
I think the biggest challenge we ran into was actually figuring out Figma and how to fluently use it without having to look up stuff on Youtube every minute. We also did not have things aligned and spent a lot of time doing that and messing around with Figma so that we can learn it better
As for accomplishments, we gained patients, bouncing and building off of each others ideas, have a prototype that we could actually demo and finally, now the whole team can work on Figma with ease.
The group has already started coding this app and is going to continue during the running semester while studying.
Built With
figma
Try it out
www.figma.com | #20 HI-LIGHT | An app to do activity with Friends and Family or Random People since we are all homebound due to this pandemic. | ['Tanjinul Hoque', 'Tasfia Hossain', 'Vincent Lim'] | [] | ['figma'] | 50 |
9,939 | https://devpost.com/software/wsb-correlator | Inspiration
Seeing the current climate surrounding the stock market, we wanted an easy way to see how much of an effect r/wsb actually had on the price of a stock. We all know that GME was massively affected by Reddit, but were other stocks?
What it does
WSB Correlator allows a user to enter a stock (also known as a ticker), the intervals to display the data in (hours, days, or weeks), and the time period. From there, WSBC querries the Reddit API and the Marketstack to find the relevant data, and creates a graph.
How we built it
WSBC is made up of two separate parts: the API (backend) and the JQuery front end. We built the backend with FastAPI, as it allows for rapid development and self-documenting code. The JQuery front end makes API calls to the backend to retrieve the data, and then renders that data into a chart using Chart.js
Challenges we ran into
We initially ran into some issues as were attempting to use React. However, none of us on this project knew react, and it was not feasible for us to learn an entirely new framework from scratch during this hackathon (although we've done similar things in the past). After a few hours of fruitless effort on the front end, and a nearly complete backend, we decided to change course and go with JQuery, which we were all familiar with.
Built With
fastapi
javascript
jquery
python
Try it out
github.com
stonksgoto.space | #27-WSB Correlator | Track r/WallStreetBets' interest in a stock over time vs the stock's price | ['Nick Cleary', 'Nathan Dixon', 'Christen Ford', 'David Fu'] | [] | ['fastapi', 'javascript', 'jquery', 'python'] | 51 |
9,939 | https://devpost.com/software/tweetcred-4obh73 | Sample Task
TweetCred
Crowdsource credibility scores for tweets
Twitter is great for reporting major news events and emergency situations. However, the social media site is also plagued by misinformation, leading to confusion, chaos, and sometimes even violence. Users generally question false information more than truthful information.
In a study about tweets relating to a 2010 earthquake in Chile, the authors suggested that
social media favors valid information over fake news
(“Information Credibility on Twitter | Proceedings of the 20th International Conference on World Wide Web” 2011)
.
So, let's crowdsource! There are many great papers and projects aimed at analyzing the credibility of tweets. I'd like to explore how to build a crowdsourcing platform that enables users to assess tweets for credibility.
My steps:
Retreive tweets from Twitter using the Twitter API and tweepy
Create a project in Pybossa and add tasks using the Twitter Task importer
Design a custom HTML script to prompt users with tweets and questions
group #66
☆ﾟ.
･｡ﾟ credibility scoring ✧･ﾟ: *✧･ﾟ:
World peace
How I (tried) to do it
I installed Pybossa and configured a PostgreSQL database and
redis-server
and
redis-sentinel
instance using the Pybossa documentation
I experimented with a few different ways to gather tweets; for simplicity and time sake I used a script that pulls tweets by username, but if I had more time I would write a script that retrieved tweets off of key words and location
I created a project in Pybossa and then edited the task HTML script to design what a task might look like to a user
Credits:
I used the paper sited above (“Information Credibility on Twitter | Proceedings of the 20th International Conference on World Wide Web”) to help format what a task might look like
I used @anku255's
gist
to scrape tweets by a given username
Built With
postgresql
pybossa
python
redis
tweepy
Try it out
github.com | TweetCred | Crowdsource credibility scores for tweets | ['Ruby Werman'] | [] | ['postgresql', 'pybossa', 'python', 'redis', 'tweepy'] | 52 |
9,939 | https://devpost.com/software/fun-focus-frog-friend-20dyqt | frog friend!!
fun focus frog friend in action
why is it so cute?
thank you to @starry.xniqht on Instagram for the frog pic!!!
Inspiration
frogs are super cute, and not procrastinating is super cool
What it does
add and delete tasks, see your tasks, and get reminders 1 hour before, 5 minutes before, and when it's due
How we built it
built using discord's API and python
Challenges we ran into
creating the reminder feature... timers were difficult to work with... the discord bot permissions and intents were also a learning curve that prevented us from running the application initially
Accomplishments that we're proud of
creating the reminder feature! that was rough. working with and handling dictionaries for user input was very interesting
What we learned
how to use the discord API, how to use dictionaries in python, and how to use async functions
What's next for fun focus frog friend
releasing it as a usable bot! also adding features like gaining levels, and editing tasks to make it more user friendly and fun
Built With
discord
python
Try it out
github.com | fun focus frog friend | discord bot that sends you reminders and keeps you on track! (team #24) | ['Cynthia Yan', 'Kethly Fast'] | [] | ['discord', 'python'] | 53 |
9,939 | https://devpost.com/software/bloom-87kitx | Welcome Page
Login Page
Home Page
Education Planner
Diet Log
Exercise Log
Relax and Unwind
Inspiration
The coronavirus pandemic has affected everyone in some shape or form, whether it be through the loss of a loved one, being laid off, or rather simply the change of social norms that have mental/social implications. As students attending universities across the United States, we've often felt unmotivated to accomplish any of our academic studies, perform physical activity to maintain our health, or being socially active to keep our personalities engaged. We wanted to develop an application that could target physical, mental, and social health holistically - keeping student healthy through an organized approach.
What it does
Upon logging in, the user is greeted with statistics and what needs to be accomplished throughout the rest of the day. The tabs on the bottom of the user interface navigate throughout the app and attempts to conquer different aspects regarding the user's health. The education section keeps track of the user's academic studies by listing their homework, important deadlines, and their exam dates. The user can add to this agenda by adding it through the application. The diet section of the application keeps track of what the user is going to be eating and drinking throughout the day, and the user can make adjustments via removal and addition. This will allow users to keep track of their caloric intake. The fitness section of the application keeps track of what physical activity the user should pursue in their respective day and provides a link to their respective workout on YouTube, encouraging them to connect with people online to facilitate the activity. The final section is the mental health section where users can listen to white noise and podcasts, hopefully putting their mind at ease and potentially gain insight in the process.
How We built it
We utilized Figma to remove the aspect of coding from the user interface design process. This ensures that our creativity has room to flourish on a fresh canvas. We downloaded Flutter, a UI toolkit provided by Google, and used Dart, a client-optimized programming language, to develop the user interface of the application from the Figma in a rather short amount of time that'll work on both the IOS and Android devices. We continued to use Flutter and Dart to create the respective functions of the applications for each section. We implemented a Firebase database (from Google) to store the applications data, such as username, password, and their agenda for the week.
Challenges we ran into
Communication between the team members was a key issue that hindered our ability to finish this application in a 36 hour time frame. On top of that, there were issues with connecting the Flutter application to the Firebase database in order to actually store the user's data. Often, it would either not run the application at all or wouldn't recognize the existence of the database within our code.
Accomplishments that we're proud of
We managed to finish the basic functionality of the application, despite problems with the database. Some of us fortunately took this hackathon and this application as an opportunity to learn React, Flutter, Dart, and connecting information to Firebase databases.
What we learned
The more important thing we learned was that collaboration and cooperation is the key to success in project oriented activities, especially in a virtual hackathon that requires its respective hackers to develop an application in a span of 36 hours. Collaboration and cooperation enables the team to not only get certain aspects of the project done in a reasonable amount of time, but also the end product will tackle issues often overlooked when working independently.
What's next for Bloom+
We want to utilize this application that we submitted to the hackathon as the foundation of an organization application for high school or college students with more advanced functionality built upon it. These advanced functionalities include more social networking through Zoom/phone calls directly from the app (Ex. Virtual Workout Buddies), keeping track of the calories without the user having the put the amount of calories directly into the application, and an implementation that allows students to automatically get virtual information from YouTube or other websites regarding the current academic topics they're studying. All in all, this idea/application has both creativity and infinite room to prosper and it comes down to whether or not we make the commitment to pursue this.
Track
Staying Sane at Home
Software Compatibility
Android 10.0+
Built With
adobexd
dart
figma
firebase
flutter
Try it out
github.com | Bloom+ (Team # 61) | Relax, Exercise and Schedule Your Way through Stress | ['Amad Qureshi', 'Fauzan Amjad'] | [] | ['adobexd', 'dart', 'figma', 'firebase', 'flutter'] | 54 |
9,939 | https://devpost.com/software/gratis-u1iqxk | Homepage
How it Works
Form Results Registrar
GoogleMaps API Feature
DataStudio Dashboard
Logo 2
Logo 1
Inspiration
Our team wanted to support the community of people experiencing homelessness during COVID-19 by giving them an online space to request resources (PPE, food, shelter, clothing) they may not be able to access or access safely through traditional methods. The public would be given an opportunity to list resources they have that they could offer those in need, on a smaller scale. With 94% of the homeless population having access to cell phones (half of them being smart phones), Gratis can be an accessible platform.
What it does
Gratis collects information from "givers" and "receivers" to match them based on resource requests (food, clothing, etc) and location.
How we built it
Using Webflow as a foundation, we built out our site using HTML/CSS and integrated platforms such as Formplus, Muut, Google Cloud BigQuery, GoogleMaps, Google Cloud datasets, and Google Data Studio.
Challenges we ran into
It was a challenge linking form submissions to a database, and then using location data of form responders to plot their location on GoogleMaps.
As an alternative, we were able to build out a series of forms to collect relevant data from Gratis users, tying them together to develop a seamless web experience. On our homepage, we implemented a map that zooms in on the site visiter's location, and "plots" locations around them (using hard-coded coordinates instead of coordinates from the form).
Accomplishments that we're proud of
We built a great-looking website with less than 24 hours of work, that demonstrates most of the features we wanted for Gratis.
What we learned
The biggest lesson we learned was that web design can be very challenging, even when platforms like Webflow make it easier. Also, working with databases is a beast.
What's next for Gratis
Our next step is designing and implementing a matching algorithm between givers and receivers, and the logic to suggest convenient locations for givers and receivers to do item drop offs/pick ups.
Built With
adobe-illustrator
css
dataflow
datastudio
formplus
google-cloud
google-cloud-sql
google-data-studio
google-maps
html5
javascript
muut
vscode
webflow
Try it out
www.your-gratis.space
github.com | Gratis team #32 | A space to get resources you need, safely | ['Manav Bali', 'Kelly Chan', 'Natalia Suska', 'Anna Jansson'] | [] | ['adobe-illustrator', 'css', 'dataflow', 'datastudio', 'formplus', 'google-cloud', 'google-cloud-sql', 'google-data-studio', 'google-maps', 'html5', 'javascript', 'muut', 'vscode', 'webflow'] | 55 |
9,939 | https://devpost.com/software/goal-stack | Website - Front Page (i)
Website - Front Page (i)
Event
Hoya Hacks, Spring 2021
Domain.com
goal-stack.space
Inspiration
We were inspired to develop a goal-tracker in the wake of the hectic lifestyle that is the current, stay-at-home affair. Being able to feel productive and complete tasks is important both for one's mental health and one's work ethic, and having one on hand that is personalized for you, by you, gives the user the tools they need to feel in control of their life.
What It Does
Goal Stack keeps track of your to-do list by accepting and categorizing tasks by their deadline and duration. Additionally, it stores daily completed tasks for the user, and showcases how well or how infrequently the user's resolutions are completed via percentage on a statistical line graph.
How We Built It
We built Goal Stack using Django Rest API and React.JS for the application. Following that, we used HTML, CSS, and Bootstrap to host the website through the Google Cloud. The tasks are kept in a database using Cockroach DB.
Challenges We Ran Into
Some challenges we ran into involved combining the different aspects of the front-end and back-end into a cohesive whole. Some of the team did not have access to the Google Cloud, and a majority of the group used Django and React.JS for the first time. Nevertheless, we researched the materials and powered through the difficulties and confusion to create the Goal Stack hack.
Accomplishments That We're Proud Of
X
What We Learned
X
What's Next for Goal Stack
X
Built With
cockroach-db
django
domain.com
google-cloud
react.js
Try it out
github.com
goal-stack.space | Hoya Hacks S2021 : : [ Team #34: Goal Stack ] | Keep track of your life and your goals with this easy goal-tracker application! | ['Mehvish Ali', 'FNeffati Neffati', 'Dylan Nguyen', 'Han Lim', 'Krishna Koundinya Muppalla'] | [] | ['cockroach-db', 'django', 'domain.com', 'google-cloud', 'react.js'] | 56 |
9,939 | https://devpost.com/software/praman-auto-climate-monitoring-system | Block Diagram
System Operations
Inspiration
PROBLEMS OF EXISTING SYSTEM
It takes comparatively more time to process.
It requires additional devices for operation.
It requires an external clock.
Programming for microcontroller 8051 is difficult.
For programming, it requires a development system.
The circuit size becomes large.
PCB making becomes complex, difficult, and tedious.
What it does
PROPOSED SYSTEM
We are using the DHT11 sensor for monitoring the atmospheric conditions that are temperature and humidity so that we get accurate results and we can take efficient measures.
Our system will be faster and less power consuming.
Our system collects the data from the sensor and sends it to the ThingSpeak webserver to maintain the atmospheric conditions of a particular place (warehouse). We can access the data of the atmospheric conditions of the warehouse from anywhere in the world.
Our system updates the data from time to time so the user can observe the real-time conditions in the warehouse.
How I built it
DHT11 should detect temperature and humidity properly.
Node MCU should give the required outputs on the output port.
The alarm lamp glows if temperature and humidity are not equal to the set point.
The system should be stable and work properly in the given range of temperatures.
Real-time Temperature and Humidity are displayed on the channel of thingspeak server
Accomplishments that I'm proud of
This project can be used in Industry as well as at home.
To monitor the environments that are not comfortable, or possible, for humans to monitor, especially for extended periods.
Prevents a waste of energy when it’s not hot enough for a fan to be needed.
To assist people who are disabled to switch on or off the cooling device automatically.
The system is used to monitor warehouses containing agricultural goods, dairy products, etc.
What I learned
Learned about embedded systems as computer science student worked on hardware is none other than a high five achievement, also I implemented my c++ skills in this project so I know about how c++ can be used to implemented on hardware too and the main part is with this project I have done my hands dirty with Arduino which is my childhood dream
What's next for Praman - Auto Climate Monitoring System
I can make this system advanced by the use of air quality and gas sensors to monitor major air pollutant like CO2, CO
Sensors for monitoring the concentration of pollutants like ozone, Sulphur dioxide, can also be included in the system
Built With
c++
thingspeak
Try it out
github.com | Praman - Auto Climate Monitoring System | The climate condition of the field can be monitored from distant places and won’t require them to physically present. | ['Keshav Rathod'] | [] | ['c++', 'thingspeak'] | 57 |
9,939 | https://devpost.com/software/self-help-guide | domain: me-helping-myself.online
Inspiration
2020 was a tough year, and due to the outbreak of COVID-19 mutants, many cities are in lockdown. Prolonged periods of social distancing and quarantine not only affect our social health but also our mental health.
Inspired by various
self-help
/
self-care
guides online, we would like to build an app helping individuals with mental health concerns to help themselves and seek help from others
What it does
Individuals with mental health concerns can follow the self-help guide to help themselves
How I built it
Web app development using html, css and javascript
Challenges I ran into
Complete beginner in javascript (console log level xP), spent a lot of time learning the syntax. Online resources such as
this tutorial
helped a lot!!
Accomplishments that I'm proud of
I built an app!
What I learned
I learnt a lot about javascript
What's next for Self-help Guide
Depression/ anxiety test
Recommended diets
Goal setting and calender sync
Built With
css
html
javascript
netify
Try it out
github.com
me-helping-myself.online | Self-help Guide (Team Number 78) | Your ultimate guide to self-help | ['Muntaser Syed', 'Shalini Kumari', 'Ava Chan'] | [] | ['css', 'html', 'javascript', 'netify'] | 58 |
9,939 | https://devpost.com/software/mental-health-26xeqr | Mental health
is an integral and essential component, so we should never ignore our mental health. You should always stay happy and keep smiling and face difficulties. None of the problems are forever they come and go but they make us strong. On this website, you have been asked "How are you feeling right now?". So if due to some reason someone is feeling sad or depressed then you can come out of this phase by watching the embedded YouTube videos available in 3 languages right now.
Built With
css
html
Try it out
github.com | #76 Mental Health | Always stay happy and smiling ! Take care of your Mental Health | ['Mrunank Pawar', 'PranavRasso Rasankar'] | [] | ['css', 'html'] | 59 |
9,939 | https://devpost.com/software/little-blobs | Inspiration
What it does
How I built it
l
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Little Blobs
Built With
flask | Little Blobs | Predictions simple evolution using AI and Python. | ['Ryan Lee'] | [] | ['flask'] | 60 |
9,939 | https://devpost.com/software/modem-care | Welcome Statement
Getting Started
Scenario
Analysis and Recommendation
Inspiration
Mental health is a crisis among Asian American students. Over 25% of Asian American college students reported that they had seriously considered suicide, and 62.9% reported symptoms of anxiety or depression. On top of that, Asian Americans are three times less likely to seek professional mental health support compared to their white counterparts.
Asian American students face significant barriers to treatment, including cultural stigma, family pressure, and lack of culturally competent professional support. College campuses often have few non-white counselors, which isolates students at critical time, since 75% of mental illnesses appear in adolescence through early 20's.
COVID-19 is worsening mental health in Asian American students, with data from the Census Bureau showed that anxiety and depression rose sevenfold during the pandemic among Asian Americans, much of it due to racial discrimination.
To address the gap in culturally competent mental health specialists for Asian Americans, I created Modem Care, the first virtual assistant designed to train non-Asian mental health specialists in Asian cultural competence and responsiveness.
What it does
Using language sentiment analysis, the chatbot walks the user through numerous scenarios with Asian American students speaking about challenges that are causing them stress and anxiety. The chatbot then evaluates the response that the user gives and provides a more in depth, nuanced response that gives the user more insight into what factors are driving the stress and mental health challenges of their clients.
How I built it
I used the Google Dialogflow API from Google Cloud.
What's next for Modem Care
Modem Care is a project of Modem, the first holistic wellness digital media company for Asian Americans. One of our goals at Modem is the address the need for more culturally responsive mental health care for Asian Americans, and we believe that Modem Care is our first step in doing so.
Check us out and support us!
http://modemweekly.co
Built With
google-cloud-messaging
google-dialog-flow
google-web-speech-api | Modem Care | Cultural Humility Training Chatbot for Mental Health Providers | ['Tiffany Yu'] | [] | ['google-cloud-messaging', 'google-dialog-flow', 'google-web-speech-api'] | 61 |
9,946 | https://devpost.com/software/roadhack | The travel problem & challenges
Traveling for work is emotion and reality. Corporate travel policies are excel and fiction. How does a business traveler experience that their well-being is considered?
A business traveler needs to be willing to travel. Information on country safety, commuting responsibly, health-care & support in case of emergency, and cleanliness of the hotel, facilitate healthy decision making.
The challenge is that currently and post COVID-19, there are no user-friendly resources to comprehend and create a wholesome business travel plan based on the situation of the destination.
Roadhack will build a mobile solution that provides travelers with accurate advice for their destination based on the company’s travel policy, country, and health (DoC) information.
Roadhack calls this: the magic of taking a trip before you book, or take it. A destination-based solution translating the travel policy to traveler reality and well-being, to get the industry back on its feet and travelers in the air again.
COVID-19 has shown how hard it is for:
Corporate Travel Managers to
bridge between travel policy and reality
and reach their employees to ensure their well-being is at a good level.
Corporate Travelers, it is hard to figure out what their company travel
policy allows
, and what
country restrictions
are.
Corporate Travelers, to decide to take a trip – or leave it!
In order to solve this problem, you bring these problems into a love triangle:
Traveler, Company, Country
. If all are given love, travel will be able to take off again.
Roadhack is presenting a solution to give love to all three in the love triangle. We call it: the magic of taking a trip before you book, or take it.
We would not be Roadhack if we did not try to tie a few parts out of the 3 challenges together. Our main focus has been on Travel & Experiences, with a side of Sustainability & Relief and a dash of Hygiene & Health. Why? Because
you need a bit of everything
when you need to decide if you want to back on the road again.
We focused on health concerns, the well-being of travelers and businesses, sustainability, travel experience before and during the trip, mobile services, and environmental impact.
Our solution
We present a platform that helps both Corporate Business Traveler and the Corporate Travel Manager being
well prepared before and during the Business Trip
. The Travel Manager can fully customize the platform so that the Corporate Business Traveler feels supported and taken care of by the company. That makes the decision to go on their business trip easier: they have a better overview of what reality awaits them and what to take into consideration while traveling. A
strong sustainable
and
Traveler-Centric
solution which takes care of the Travelers well-being and their mental health, while contributing to a great company culture for both existing employees and next-gen talent to join.
The best about this platform is, it will still be
relevant after COVID-19
has passed. It can be used as a Safety & Security platform, fully customized to the companies’ Travel Policy.
This solution ties the travel policy and the traveler's need for information together. A deep dive shows three parts that have been connected to ensure a wholesome experience for both the Corporate Business Traveler and the Travel Manager.
1 Travel Policy Platform
: a Travel Manager can log onto this platform to configure elements of the travel policy such as preferred airlines, hotels, and other suppliers. They can choose what countries are approved to travel to. In addition, they can input how travelers should move around using ground transport or where they should eat. They can configure a checklist that will appear for the corporate traveler to include essential business letters, reading the policy, or picking up a health kit for on the road. It also gives a complete overview of all the measures that Airlines take related to COVID-19, gathered via the ATPCO API. A complete country overview with all the COVID-19 rules gives guidance on when travel to a specific country can be allowed again.
2 Corporate Destination App
: a Corporate Business Traveler solution that holds a treasure of information. the traveler is able to search for a destination. The destination overview shows varied information that provides travelers with accurate advice for their destination based on the company’s travel policy, country, and health information. The app is fully powered by the input of the travel manager portal and several APIs. It shows if the destination is approved and allows you to get notifications in case the situation changes for the chosen destination.
A breakdown:
The country information shows the COVID-19 situation, entry restrictions to your destination and back home again, and visa information. This is taken out of the Sherpa API.
The city tab displays information taken covidcontrols.co API and the Sitata API. It is a deep dive into how you would behave in your destination and focusses on information that is relevant to eating, entertainment, transport, and the local office.
The well-being tab is meant to make travelers feel taken care of by their company; it shows tips on how to travel relaxed and healthy. It’s about exercise, what happens in case of quarantine and how to beat mental unrest or tiredness.
Tapping the environment tab, you are shown the carbon footprints for flight and hotel, as well as your total average score for a trip from your destination to Amsterdam.
The trusted suppliers tab reveals what hotel, airline, and other suppliers are preferred and it allows you to browse to supplier details to see why they are selected.
3 Corporate Travel App Check-In
: After you have booked your trip to Amsterdam, your corporate travel manager wants to make sure you feel at ease in these times. A check-in pop up shows your travel manager, who’s asking how you are doing. The traveler can input how they feel and what their emotions are. Based on their input, they receive advice. In this case, they’re doing good and given a small tip to take care of their mindfulness.
How we built it
To come up with our idea we listened carefully to the wishes of travelers and travel managers that we speak to regularly. What we understood is that there's a need for a lot of information before a traveler books their trip.
Generic travel information can be found in many places but it's difficult to find specific information tailored to the need of the business travel industry. That is why we designed two interfaces in our solution that exactly fit the need of both the business traveler and the travel manager.
In order to make our software available to as many devices as possible, we choose to build a responsive web app. For both the front- and backend we're using NodeJS. For the Travel Manager portal, we rely on PHP. For communication between these different modules, we're sending JSON data models via secure connections.
When a traveler fills in the required fields, this information will be passed to the backend. The backend will collect all the necessary data from as many APIs as possible, which currently are CovidControls, Sherpa & Sitata. All this data will be bundled in a compact and usable data model for the frontend and then shown in a pleasant and intuitive UI to the traveler.
What we're proud of
This one can be short and sweet. We are super proud and happy with the
feedback we got from existing customers
. They think the solution is cool, looks good and extremely user-friendly. The customer we branded it to says this is “exactly what is needed” in these times and we have
“listened to both them and their travelers”
when coming up with this concept. They state that sustainable solutions are hard to find and truly innovative. In addition, they believe in having everything in one place and easily available through a mobile solution.
We have delivered more than we expected we would be able to deliver due to
strong teamwork
. We had a team consisting of two designers, three developers, and one configuration/content manager.
We tried new things and have worked on
new skills
. One of our designers did not know Sketch, we have never created a Webapp or coded in NodeJS and Bootstrap before. Vavoom!
When presenting our designs to the company, colleagues reacted with enthusiasm and asked when we will turn this into a
real product for our customers
.
What tech we used to build it
Cloud technologies
We used Heroku for our web app & backend. This provides us with flexibility and fast deployment for testing and agility.
Both the web app & backend run on NodeJS. The web app uses the Express framework, powered by the Handlebars templating engine.
The Travel Policy tool is built on PHP and uses MySQL as a database. It's hosted in the cloud on an Apache webserver.
3rd Party integrations
Sherpa API
Used for quarantine measures, health declarations, visa requirements, business letter requirements, entry restrictions
CovidControls.co API
(we had to save the data locally due to request limits).
Used for all COVID-19 case related numbers, restaurant & entertainment.
ATPCO API
Used for the different measures that Airlines take in terms of hygiene and other COVID-19 measures and giving the travel manager one overview of all the measures.
Sitata APO
Used for enhanced COVID-19 sickness, deaths, recovery, and percentages of the population to give travelers an overview of the risk for a specific destination.
UX
Sketch
Adobe CC suite
Premiere Rush
Links to test the solution:
Working product
The web app is best viewed on mobile, preferable an iPhone X or bigger. You can add it to your home screen to get the best experience. After opening the below link in Safari, press the share icon (middle icon on bottom bar) and press "Add to Home Screen". It will show up as a tile on your iPhone and once you click on it, you have the best experience.
travelscrum.getroadmap.dev
The Travel Policy tool can be used on your computer. It requires login details, which are prefilled. Just press "log-in".
tool.getroadmap.com
Source code
All the source code can be found on the Roadmap Github repository:
roadmaptravel/travelscrum-backend
roadmaptravel/travelscrum-frontend
roadmaptravel/travelscrum-travelpolicy
Next steps for Roadhack
We are keen to determine what is viable for our business and adapt it to our own product. We have never ventured into the pre-travel, or even pre-booking, space before. It would require extensive
qualitative research
with travelers and travel teams to figure out how to incorporate this into our current product set. Basically, we are going to ask the opinion of our customers, prospects, and base of business travelers.
Some things we want to do:
Obviously, the Travel Policy Platform should be
enriched with more options
. Imagine sending your travelers messages, or being able to configure even more (e.g. based on department, roles, the purpose for travel)
The Corporate Destination app needs to be improved and all edge cases need to be covered. Right now, we are unsure if all edge cases are covered, because we have hacked this. It needs more
careful planning and thought
. After that, it needs to be tested with Corporate Business Travelers.
Calculate a score based on the input of travelers and turn that into a
Traveler Sustainability Score
. This allows Travel Managers to change the policy depending on the average score of a destination (closing the cycle).
Built With
bootstrap
css
ftp-server
heroku
html
javascript
json
linux
mysql
node.js
npm
php
Try it out
travelscrum.getroadmap.dev
tool.getroadmap.com | Roadhack | Traveler well-being: the magic of taking a trip before you take it - or leave it! | ['Patrick de Jong', 'Glenn Mosdall', 'Micha van Eijk', 'Gaby Verwegen', 'Sheruela S', 'Niels Koole'] | ['Global Hackathon Grand Prize Winner'] | ['bootstrap', 'css', 'ftp-server', 'heroku', 'html', 'javascript', 'json', 'linux', 'mysql', 'node.js', 'npm', 'php'] | 0 |
9,946 | https://devpost.com/software/alma-zlm7r9 | Inspiration
Travel companies consider personalization as a major lever in their quest to improve its revenue and the customers travel experience. However, in the time of pandemic and afterwards, travel will not be the same. A customer needs to feel safe at all times wherever they plan to travel. They would like to be notified in advance if the destination is a healthy to travel or not. At the same time, a customer like to be pampered with the best offers and recommendations so that he or she is encouraged to travel more often. A sustainable travel ecosystem is possible when the local businesses can also join hands with the travel companies to provide more offers and discounts.
To regain customer trust will be a key goal in the personalization journey and alma is designed to solve just that!
Target Customer & Market
Any Travel company and in destination travel businesses.
What it does
alma (Soul or spirit in Spanish) is an AI powered personalization solution built specifically for travel. It can help the travel companies and their partners in considerably improving the ancillary revenue and at the same time improve customers travel experience. alma has two components.
• Local alma is a mobile plug in with AI capability which can be attached to any travel company’s mobile app. A mobile app knows you better than anyone else which include your purpose of travel, personal preferences, health data, social data and much more. Hence, Local alma mines this knowledge and creates a Specialized Travel Experience Quotient (sTEQ) from it.
• Space alma is a AI based distributed cloud solution in which both travel companies and in destination business partners can be on boarded to provide personalized contents and offers. Space alma will be using industry available data attributes (flight, product) along with online demand context to create a generalized Travel Experience Quotient (gTEQ).
How it works
Alma simplifies personalization by abstracting the complexities of the AI and ML algorithms using a concept called “Travel Experience Quotient” (TEQ). TEQ is a combination of sTEQ) and gTEQ. For more details, refer to the submission documents including architecture.
The TEQ can then empower the travel companies and its partners to make tailor made offers to each customer at the right touch points along the customer journey. This unlocks the potential of further merchandising opportunities.
Figure 1: the concept
Figure 2: alma architecture
How we built it
We have created a mobile client with Local ALMA plugged to get the personalized feeds using flutter. Flutter Web is used to create the space ALMA admin console. As of now, the inventory is based on a firebase store. Machine learning and AI solutions which provide the TEQ values (both specialized and generic ) were built in python and integrated to FWs Django and ML kit. Space ALMA APIs including the ML endpoints are Rest based. Space ALMA consoles are built with angular 8, and the Simplified TEQ APIs are deployed as AWS lambdas.
We started with ML solutioning, we were able to create the TEQ based on micro-segmentation on the attributes and bayesian classification. The demand probability of a person will be identified in the Local Space and which will then combine in the Cloud Space to curate the dynamic offers.
Challenges we ran into
The scope is very huge and we struggled to focus on the use cases.
Accomplishments that We're proud of
TEQ - the concept is very energizing for the team, and the machine learning solution finally provides meaningful values that can be used for pricing, offer curation, bundling, and many more. Within a short span of time, we were able to make a working model.
What we learned
All of us are new to flutter and flutter web, Somehow we cracked it.
What's next for Alma
On a Roadmap perspective, user role-based screens and workflows are not added for retail window and admin screens. As of now, the TEQ is working based on ML algorithms based on available data. The concept of reinforcement learning is on the road map to create offers and recommendations and explore to see the market reaction. NDC enabled API gateway is not yet created. Corporate policy upload options will be a nice feature to add.
Converting business to leisure and mix and match to create bleisure will be interesting for Alma. Web plugins are not yet developed.
Links to Working suite :
There is a Github repo
[link]
https://github.com/vins2win/TEQ-ALMA
where you can find the admin panel and mobile client codebase
The Mobile version is not uploaded to any store. So if you want to try out, take a pull and build it.
Admin panel is live and you can find the link here.
[link]
https://alma-client.web.app/#/
password : 123456
Machine Learning and AI solutions are exposed as Rest APIs, you can try out at using below Links .
Simplified TEQ APIs for testing :
Covid Status EQ
[link]
https://pyndjyusle.execute-api.us-east-2.amazonaws.com/dev/alma-teq
sample RQ :
"country_code" : "IN".
}```
sample RS :
```ruby{
"statusCode": 200,
"body": "{\"zone\": \" red\", \"teq\": 0.67, \"international\": \"closed\", \"domestic\": \"partially\", \"interstate\": \"open\"}"
}```
can be country code like IN, CH, CA,US,etc...
TEQ:
[link]https://pyndjyusle.execute-api.us-east-2.amazonaws.com/dev/alma-offers
Sample RQ:
```ruby{
"FlightAttributes": [
{
"dateOfTravel": "2020-6-14",
"origin": "AYT",
"destination": "COK",
"fareClass": "Y",
"carrier": "AI"
}
],
"PassengerAttributes": [
{
"posCountry": "AL",
"pnrType": "NORMAL",
"age": "30-40",
"currencyCode": "EUR",
"fareType": "BASE",
"countryOfOrigin": "IN"
}
]
}```
Sample RS :
```{
"statusCode": 200,
"body": "{\"TEQ\": 0.61, \"AlmaOffer\": \"ALMAXYUU13063\", \"Air\": {\"flight_number\": \"AI 917\", \"flight_date\": \"15-Sep-2020\", \"origin\": \"AYT\", \"destination\": \"COK\", \"fare\": 10370, \"fareClass\": \"Y\"}, \"Hotel\": {\"property_code\": \"HIL30\", \"property_name\": \"HILTON\", \"price\": 13703, \"no_of_days\": \"5\", \"offer\": \"30% off 3 Day Stay\"}, \"Car\": {\"provider\": \" OLA\", \"offer\": \"OLA-2 days\", \"cost\": 1350}, \"Other\": {\"type\": \"GUIDEDTOUR\", \"provider\": \"180Degrees\", \"offers\": \"30% off on drinks, pickup and drop\", \"cost\": 1359}}"
}```
Built With
amazon-web-services
angular.js
django
firebase
flutter
flutter-web
lambda
python
Try it out
alma-client.web.app
pyndjyusle.execute-api.us-east-2.amazonaws.com
pyndjyusle.execute-api.us-east-2.amazonaws.com | alma | The Spirit of Travel | ['Vineesh Vijayan', 'EBIN JOSEPH', 'Sangeeth S A', 'Kelwin Kuriachan'] | ['Regional Winners'] | ['amazon-web-services', 'angular.js', 'django', 'firebase', 'flutter', 'flutter-web', 'lambda', 'python'] | 1 |
9,946 | https://devpost.com/software/detour-c6tidg | GIF
Example airport status (Argentina) from ICAO
Example of country restrictions (Greece) from Sherpa
Example of country restrictions (Australia) from Amadeus
**Detour** - Data transformation and Workflow
Technologies used to create **Detour**
Inspiration
Is it safe to travel again? Where can I go to have the best experience with so many restrictions in place? What travel deals are available? Those are the most common concerns that travelers have these days, preventing them from booking travel. The coronavirus has disrupted our lives, global economy, and put the travel industry at high risk for bankruptcies and job loss.
Inspired by the idea to restore traveler confidence and help the industry with global recovery, the
PlaneJanes
team developed the solution that will help:
a) guide travelers to find the destinations with the best deals that match their travel aspirations and make confident purchasing decisions
b) provide modern technology and data for airlines and their sales channel partners (GDSs, OTAs, TMCs etc.) to stimulate demand and generate revenue
What it does
For the travelers
Detour
is an app that guides travelers like you to your next destination with confidence. The app collects the information you need about health and hygiene measures, travel experience, social factors, and environmental sustainability and presents it in an easy-to-understand format.
Detour
uses built in intelligence to help you decide your next vacation destination by recommending destinations that best match your travel aspirations, preferences, and compatibility—so you can discover the wonders that await when you arrive.
For the industry
Detour
provides the most relevant airline pricing and retailing content directly from the source and integrated with the latest safety, airport, traveler experience, and sustainability data, delivered via API, NDC, or other traditional distribution methods. Built by airline industry experts with scalability in mind, Detour utilizes NDC, NGS, and pricing standards to speed up the implementation, industry-wide adoption, and time to market.
How I built it
Our team started out with a blue-sky discussion to identify what our ideal fare search would look like during the COVID-19 emergency and beyond. We identified what was important to us as travelers while determining where to go, when to go, and how to get there. We wanted a single place to answer those questions so we did not spend hours researching a destination only to find out we cannot go for one reason or another. Instead of requiring the passenger to input a destination,
Detour
would recommend destinations based upon user preferences. We then vetted our idea with family and friends to challenge and reinforce our hypothesis before we settled on a direction.
Once we determined our
Detour
, we researched the APIs made available to us via the hackathon sponsors to ensure we had the technology and data available to us to create our ideal product.
Once the creative process was completed, we focused on the technical details of our app. We used Angular, MongoDB, and AWS technologies to aggregate the data from the various API’s that we used to develop our app. We used the following API’s:
• ATPCO - Fares, Universal Product Attributes (UPA), Reassurance Universal Product Attributes
• Amadeus - Destination information
• Sherpa - Procedure information by country
• SIATA - Restriction by country
• ICAO airport status - Restriction by airport
• airport-data.com - Codes, latitude, and longitude
• Airport API - Openings and health and hygiene status
We identified and subsequently created six new Reassurance UPAs that we needed to complete our hack. We created the following Reassurance UPAs:
• Social Distancing
• Increased Airport Sanitization
• Touchless Kiosks
• Facemask Required in Airport
• Temperature Check
We then worked to process and analyze the information gathered from the many API’s that we needed to use to successfully complete our hack. The API’s helped us to determine:
• If the destination is open
• What health and hygiene measures are taken by airlines, city, state, airport, and country
• If there is a compatibility match to the criteria selected by the user
When determining the compatibility match, we had to determine if the cities, dates, and destination type match to the passenger’s input request. We then assigned a score of “Good”, “Better”, or “Best” to the match of the preferences and concerns of the passenger.
Our design approach was to use wireframes to identify features and scope. We then implemented using stylesheets from the initial prototype design to ensure the look and feel that would entice passengers to travel. We used Angular 8.0 with Material Design to create our UI. We used JAVA code for data processing and JSON for the data aggregation.
We utilized machine learning to determine the fare recommendation compatibility for the passenger’s request. We created efficient algorithms to provide concise data in the simplest form from the vast amount of data that we collected from the multiple APIs that we called.
We used blockchain for collecting large amounts of valid data from multiple sources.
Now that we had a large amount of text. We had to understand the text that we were receiving. We needed to learn, interpret, and process text from various governmental bodies/entities to determine the status of a location and any restrictions that have been put in place by the local authorities.
Finally, we needed to ensure the accuracy of the data and keep the data up to date.
Challenges I ran into
We came across three primary challenges in our development of
Detour
: Data aggregation, creating an unbiased algorithm, and consolidating the data in a meaningful way to the passengers using our app. In addition, we knew that with this information, maintainability was key.
The first challenge was determining which data was available that was in a form we could utilize, along with the level of reliability and accuracy that we knew we needed. Each passenger concern requires at least one data source, so we needed to aggregate the data from the multiple sources to provide a concise answer to address each concern of the passenger. For each data element, we had to identify the source and verify the validity of the data source.
The success of our app relies upon passenger’s trust, so it is of utmost importance that our data is accurate. Maintaining the data is important especially when we receive conflicting information. We need to be able to determine what data is correct and provide the most current data for our users.
Trust is the foundation of the app, and we wanted to ensure that we provided an unbiased algorithm. Our scores are in relation to the passenger’s needs and preferences and do not necessarily reflect the quality of the services provided by any of the airport, airlines, or destinations.
Our final challenge was how to consolidate so much information into an app available to passengers via an online tool or a mobile app. We chose to leverage the ATPCO Routehappy Rich Content Reassurance APIs while expanding to include new UPAs to provide an easy and efficient way to communicate information to the traveler.
Accomplishments that I'm proud of
One of the goals of the Travel Scrum hackathon is to develop ideas that will reshape the future of travel in new and innovative ways. We asked our coworkers, family, and friends what they needed to know to be inspired to purchase travel. Every response was based in trust, they wanted to know:
• The airport and airplane are following recommended sanitation standards
• Their money is not going to be wasted
• They will be able to enjoy a healthy and enjoyable trip
Trust is an integral aspect of getting travelers back to traveling. The
PlaneJanes
took the importance of trust to heart in our drive to create a prototype of a product that we would want to use for ourselves and our loved ones when we are ready to purchase our next vacation.
Aggregating the massive amount of data was a challenge that we are proud and happy to have overcome. Providing this data in a concise manner that passengers will easily understand was an important and valuable accomplishment to the completion of our app.
What I learned
We learned the importance of thinking through and validating the idea. When we researched, we found that all similar apps required the passenger to provide the destination. Our product is unique in the fact that we provide recommendations based upon passenger preferences and machine learning.
Most of the members of the team have participated in other hackathons but this is the first time we have a presentation and design specialist on our team. Our designer was able to step into the user interface and user experience role very easily by using her presentation and design skills to create an interface that that is beautiful, functional, and intuitive. We quickly realized the benefits of having a designer on our team.
We learned the amount of public data available to consume is massive. Ensuring the data is valid and current is more challenging than we had expected going into this.
What's next for DETOUR
Detour will continue to inspire travel and guide you to new destinations. While there are many travel apps in the market with common features that aim to find you the best deals, they only work well if you know where and when you want to travel and if those destinations are open for tourism.
Not only does Detour take into consideration all the COVID-related restrictions, but it will continue to help you find the best destinations based on your aspirations which may change in the future as COVID restrictions increase or decrease.
The app can be enhanced with other data sets to include weather, crime score, low fare alerts; changes to health, airport, and government restrictions; “Save For Later” and comparison features; hotel, and rentals information and much more.
Built With
adobe
adobe-aftereffects
adobe-premiumpro
amadeus
amazon-web-services
angular.js
api-gateway
atpco
beanstalk
blockchain
documentdb
github
google-materials
hangouts
icao
java
json
lamba
machine-learning
material-design
mongodb
node.js
npm
ringcentral
sherpa
sherpa-romeo
siata
slack
spring
springboot
teams
xd
Try it out
detour-env-1.eba-weamzbgn.us-east-1.elasticbeanstalk.com
planejanes-detour-ui-hack2020.s3-website-us-east-1.amazonaws.com | DETOUR | Ready to travel but overwhelmed by all the health, safety, and travel restrictions around the world? Don’t get lost, take a DETOUR and find your slice of paradise! | ['Chandra Chukka', 'Anuradha Ragupathy', 'Anandhi Navaneethakrishnan', 'Christine Grubbs', 'Shilpa Sam Babu', 'Ramya Boopathiraj'] | ['Regional Winners'] | ['adobe', 'adobe-aftereffects', 'adobe-premiumpro', 'amadeus', 'amazon-web-services', 'angular.js', 'api-gateway', 'atpco', 'beanstalk', 'blockchain', 'documentdb', 'github', 'google-materials', 'hangouts', 'icao', 'java', 'json', 'lamba', 'machine-learning', 'material-design', 'mongodb', 'node.js', 'npm', 'ringcentral', 'sherpa', 'sherpa-romeo', 'siata', 'slack', 'spring', 'springboot', 'teams', 'xd'] | 2 |
9,946 | https://devpost.com/software/voyageur | Problem we are solving
One of our team members, Bhavya had won the grand prize at an APAC-level hackathon and he got a chance to go to a startup conference in Barcelona this summer. But due to the pandemic, it was canceled. Now, Bhavya is not sure if he’ll go even if the conference is next year. We realized this would be the case for many travelers, both leisure and business. One of the major problems would be
making travelers gain the confidence to travel again
.
We decided to do something to encourage people to travel, by assuring them of safety.
Our solution solves these particular problems of the TravelScrum hackathon:-
Hygiene & Health
Hack the very definition of travel in ways that address the health concerns long after the COVID-19 slowdown has passed. These inventions must demonstrate how the well-being of travelers and businesses is preserved or improved during travel rather than put at risk.
Sustainability & Relief
With pre-pandemic travel practices as your starting point, and new business models and social/environmental impacts as your guide, invent new responsible, socially impactful products and services that drive exceptional travel experiences and economic growth. Also, with public health and employment concerns at the forefront now, demonstrate how your invention measurably enhances economic conditions in regional and local destinations around the world.
Our solution
Part 1
We have created software services for hotels, airports, parks, restaurants, museums, theatres, and other enclosed private tourist spots. Our system will automatically detect whether people are following social distancing and whether they are wearing masks or not, from cctv footage. The owners of the place will be alerted if someone is not following the rules.
These places can advertise that they’re using an automated system to ensure safety, and this will attract more tourists.
Part 2
The other facet of our solution is an Android app for travelers/tourists. Users can pick a destination and a date of interest. We will show them the updates of that area, and give the estimated number of cases. This estimation is based on a predictive ML model.
This will help users make an informed decision and they can postpone their trip well in advance, without losing out money on cancellation charges. This will also help air travel companies and hotels, who have to bear losses if a person cancels their stay.
How we built it
We have taken a sample recording of the CCTV camera footage. An image processing model detects and classifies various bounding boxes based on the distance between people in the video. Also, we have the Mask detection algorithm which was built using CNN and it checks whether people are wearing a mask or not and creates a bounding box around the face. So the viewer knows the number of people violating the norms.
These models were built in Python.
The website for private owners (of hotel, market, tourist spot) was built using React, Firebase, and Node. The mobile app for users (tourists) was built using Android studio and Firebase.
What we are proud of
We are proud of the fact that our project will help many travelers, both leisure and business in the aftermath of this pandemic. We will be providing one of the major strengths to travellers that is gaining confidence to travel again. We are really happy to be the part of the change that will boost & encourage people to travel safely. We are also proud that we were able to build out major parts of our solution within a limited time frame.
Next steps for our solution
The next plan is to to host our entire application on the cloud. The ML models and the backend will be deployed on the cloud. In phase 1, we would like to try out this solution locally. We will tie-up with local hotel chains and tourist spots in Mumbai and devise a basic billing plan to start earning revenue. We will also release our app for tourists on the playstore. After these iterations and learning from the results, we would like to partner with more places and or a company like Trivago which can in turn sell these services to its partners.
Tech used
We have used Machine learning to detect if people are following COVID19 norms- social distancing and wearing masks. We have used the YOLO model to detect people. Once that task is achieved we have calculated the euclidean distance between the bounding boxes(output of the ML model). We check if the distance has been above a threshold that we have defined. If so, we attribute such a group of people with a red bounding box. For mask detection we have made a custom CNN model wherein we have annotated the mask image and trained the convolutional neural network for mask image. The model detects the presence of masks in the frame and draws a bounding box around it.
For COVID19 trend prediction, we have used data of a place named Mumbai in India. We have used Recurrent neural networks(RNN) for such prediction because of the fact it can remember past trends and predict future trends on the basis of past knowledge. For the website, React, Node and Firebase were used. For mobile app, Android Studio, Covid19 api and Firebase were used.
Built With
android
machine-learning
react
Try it out
github.com
github.com | Voyageur | Making people believe in safe travel again. | ['Shruti Rampure', 'Bhavya Meghnani', 'Siddhant Kumar', 'Vedant Kumar'] | ['Regional Winners'] | ['android', 'machine-learning', 'react'] | 3 |
9,946 | https://devpost.com/software/cleanhotel | Hotel Web App example
SMS Bot
Inspiration
We are the team behind a product, Smart Hotel Rate, that brings corporations, hotels and travel management companies onto the same page by detecting every booking where a company is not getting the discounted rate they negotiated with a hotel, and the platform allows these parties to collaborate in correcting the issue.
With the global pandemic, all corporate travel teams are evaluating when it will be safe to resume normal travel levels and how they can assure their employees of a reduced likelihood of exposure during travel. There are several companies that hotels are partnering with to certify hotel cleanliness, and some of these have data that could be used to benefit the traveler, employer and hotel.
Hotels offering a service like CleanHotel will differentiate their brand with both travelers and corporate customers, increasing both booking volume and customer peace of mind. This service could also be a gateway to other services hotels want to offer via SMS or app (e.g., housekeeping requests, room service orders, etc.).
What it does
During the TravelScrum Hackathon we have developed an API that collects raw digital cleaning data from 3rd-party providers.
The data from this API shows on a given date when areas in the hotel were cleaned, down to individual room level.
For each hotel property we align the cleaning data with standard global distribution systems (GDS) data that corporate travel programs require, and we could make this available as a subscription service.
The service could be used by hotels, corporate travel programs or 3rd parties, such as corporate "duty of care" providers, and it can be displayed on a hotel web site, in a corporate hotel program or elsewhere.
We have provided a sample web page that will show how the cleaning data could be presented.
Try me
Our CleanHotel SMS demo shows how a hotel could send travelers a text message at the time of booking, letting them know they will be able to receive hotel cleanliness data upon check in.
If a traveler receives the welcome SMS and does not opt out (by responding STOP), the traveler then will receive a welcome SMS after they check in at the hotel. This message will provide the date and time their room was last cleaned and give them the option to request further data on cleaning for other areas of the hotel (public spaces, elevator landings and restrooms) with a simple one-letter SMS response.
Try it out
If you’d like to see the experience we’ve created in this Hackathon, text DEMO to one of these 2 numbers:
+44 7451 286900 UK
or
+1 201-422-2788 US
How we built it
We divided the task into micro services and each team member was responsible for a service. Each service was built using javascript and made into a Docker image. Deployed in a Kubernetes environment.
The SMS Bot was built in MessageBird flowbuilder.
Each of the service are made for scalability and expansion of functionality.
Challenges we ran into
As the team were in different timezones, it was a challenge to utilise each participants time to the fullest. But we quickly divided our tasks to each participant and had them update the rest of the team via Slack.
Accomplishments that we are proud of
We managed to build 3 micro services that interacts with each other and show the possibility there are using raw cleaning data as a new service for the hospitality industry.
Hotel Cleaning API
Hotel UI to display the data
SMS Bot to allow the hotel to communicate with its guest about the standard of cleaning
What we learned
Never underestimate the time it takes to put together media content - we could easily have spent 1 team member on this from day 1. Mixing video content and presentation forms are not straight forward.
What's next for CleanHotel
Expand the SMS service to include popular services such as Messenger and Whatsapp, also make the service able to interact with existing communication services a hotel uses.
Make the API production ready with full OAuth 2.0 token authentication.
Make agreements with hotels and providers of digital cleaning data to enhance the offering.
Built With
docker
javascript
json
messagebird
Try it out
github.com
kleen.fixhotelrate.com
kleen.fixhotelrate.com | CleanHotel | Help hotels bring confidence back to corporations and travellers, by providing real-time cleaning data for hotels. When was the lift/elevator last cleaned? When was my room last cleaned? | ['Henrik Conradsen', 'John Packel', 'Jean-brice Rougeot', 'Nick Whitmoyer', 'Rama Seera'] | ['Regional Winners'] | ['docker', 'javascript', 'json', 'messagebird'] | 4 |
9,946 | https://devpost.com/software/exploreco-online-wildlife-and-cultural-tours | The travel problem your project solves, including challenges
Hi, we are Exploreco. We help wildlife conservations to run online tours and attract donations during the pandemic and beyond. We tackle two Trave/Scrum challenges: Sustainability, as well as Experiences.
The lockdown is a big challenge for hundreds of wildlife conservations. There's no income from visitors anymore, donations also go down, while these organizations still have to protect the wildlife, care about the animals and people. Moreover, lockdown provokes more poaching on their areas, increase of illegal timbering and other negative factors.
Our Solution and what it does
To help wildlife conservations and sanctuaries to attract money, during the weekend we’ve built Exploreco, a platform for online tours, behind the scenes visits and interviews, so people who help wildlife can show their life and work, raise money and attract new supporters.
How did you build it?
On the hackathon we’ve created a working prototype of the platform: design and UX, tour description and participant registration, donation payment processing, and we’ve run a demo tour with me broadcasting live from the mountains, acquiring the first 30 viewers. We’ve reached more than 10 conservations and received positive feedback from 3 of them already. We also received meaningful advice from a dozen of experts.
To build it, we connected design on Wordpress CMS with streaming engine from StreamYard and Restream, and connected the payment engine from Paypal for initial MVP. You can try it out at
http://exploreco.org
What are you proud of?
A strong side of Exploreco is that using a single platform we can run paid tours with restricted access, as well as public free tours for donations with streaming to Facebook and Youtube. It allows us to combine financial income as well as reaching a bigger audience.
Unlike other platforms for online tours, we focus on trustworthy wildlife conservations. We’ve been working on strong standards, using the data from World Wildlife Fund, National Geographic Society, Blood Lions and other organizations, to ensure that money go to the right people and support a good cause. Our research shows that there’s at least 1500 trustworthy wildlife conservations and sanctuaries worldwide, so the market size is promising. In future, we can use these standards for selling offline tours to verified suppliers as well.
What is the next step for your solution and how will you take that step?
We plan to implement a subscription model for a long-term support, like Patreon for nature. Also, in future we will connect with more partners, like indigenous culture centers and other non-profits worldwide. We also plan to invite influencers and celebrities as online tour hosts to attract a wider audience.
We are Exploreco, and we believe that online tours are a great way to fund purposeful missions, and to promote responsible tourism.
Thank you
Built With
javascript
paypal
php
restream
streamyard
wordpress
Try it out
exploreco.org | Exploreco: online tours to help wildlife | We help wildlife sanctuaries and indigenous communities to attract donations during the pandemic by taking people on online tours | ['Alex Permyakov', 'Karit Jaakson'] | ['Best Design team Winner'] | ['javascript', 'paypal', 'php', 'restream', 'streamyard', 'wordpress'] | 5 |
9,946 | https://devpost.com/software/vq-check-in | Waiting
Long Queues in check-in counters
business case
Product features
Inspiration
According to the latest investigation, travelers face long queues at airline check-in desks.
For a short-haul flight, 60% of travelers have to go to check-in counters.
For a long-haul flight, the percentage is as high as 90%
Recently we conducted a survey “Airport Check-in Experience”, according to our survey result:
90% of travelers say that they need to go to check-in counter at least once a year.
70% of travelers are not happy with the experience of waiting for a check-in.
100% of travelers would love to try a product which can improve the check-in queue experience.
Standing in a queue for an indefinite amount of time can make travelers frustrated, angry, stressed.
The Post-pandemic context makes the queues even more challenging as they make it difficult to respect social distancing. As the social distance limitations vary per country one will not know what distance they should take into account.
What it does
VQ Check-in is a new way to check in, drop off your baggages at the airport, avoiding the queues burden, by making them virtual. It can radically change the traveler experience at the airport!
Virtual queues help to fade out the rough corners of the waiting experience.
They help travelers practice social distancing, by giving them the means to wait remotely.
When travelers arrive at the airport, they just need to make a virtual queue through the
application, then they can wait remotely, go shopping, take a coffee…
The application will send SMS /text messages, app notifications to travelers when it is their turn to check in.
Benefits
Hygiene & Health:
No more physical queue, travelers can stay away from each other, reduce stress factor for travelers.
Physical contact with other passengers and/or airport/airline staff is reduced to a minimum level.
Travel & Experience:
Reduce waiting time leading to higher travelers’ experience and loyalty.
Business value
For travelers
:
Eliminate the physical waiting lines
Enrich the wait-time experience
Improve the travelers' overall experience
Reducing total time spent on travel
For airline
:
Makes traveler's experience much better - happy traveler!
Offer the opportunity to be “anti covid compliant” (guarantee the social distancing, and passenger security).
Optimise traveler flow.
Optimize check in staff efficiency.
Personalised traveler experience.
the application can be seen as an additional point of contact with the traveler, therefore an opportunity to propose upsell service/flexibility/comfort for the traveler.
For airport
:
Increase sales in retail store, duty free, restaurant.
Efficient improved space management.
Opportunities for advertising, vouchers.
How we built it
Define our customers - the product customers are airlines and airports
Design product features - MVP
Create user stories:
Persona Traveler => As a traveler, I want to make a queue, so that I can do check-in
Persona Check-in counter agent => As an agent, once I’m done with a traveler, I want to call the next one , so that I can handle check-in activity for travelers on a more efficient way
Develop our product with new technologies
Test the MVP
Adapt
Launch
What are you proud of?
Our team
We are proud of our team members, we work perfectly well together.
Two great mentors, they are in a good mood, supportive and knowledgeable.
Survey
We have asked through a survey to prepare our hackathon idea and find confirmation for our initial ideas, it helped us gather a lot of valuable data.
More important it confirmed our mindset on this change and added value to the travel industry value chain.
The survey results confirmed that there really is a need for change of the current physical queuing process.
Our product will definitely improve the travelers' experience.
The work we did
Design, reflect, adapt, commit our MVP product in a few days' time.
What is next step for your solution and how will you take that step?
What is next step
Next step for our solution is to provide more valuable features which benefit with customer needs or desires.
Airline upsell services : e.g. extra bag, fast check-in, partnership with concierge services
Forecast airport/airline passengers flows : Before going to airport, traveler can better prepare their trip efficiency according to passengers flows forecasting at airport.
Traveler: provide special services like extra suitcase, fastlane customs passage as an upsell
Frequent Flyer traveler : provide priority check-in, connect loyalty programs and offer upsells by miles and other special services.
Airport API integration: Airport API can provide shops/restaurants, airport maps information. Travelers can enjoy better airport services while waiting.
How will you take that step?
Meet with stakeholders within airlines, airports and get their feedback on our initial proposal
Get some potential customers [airport/airline] involved in our product
Discover our customers' needs
Discover the travelers’ needs and match with requirements of customers [airport/airline]
Share the MVP and product strategy with our customers [airport/airline]
Test with customers
Continuous improvement on the product
Get in touch with UX and marketing to consolidate our brand
Grow our business
What tech did you use to build it?
The product is made by two web-applications, one serving the traveler and the other one for the check-in counter agent. The web-applications are made using Angular framework and Bootstrap UI Library.
The communication is done by a NodeJs Express server, using Http Rest API.
The data is stored in the runtime memory of the server. No Database has been implemented.
The code is versioned and stored on GitHub.
The GitHub repository is linked with Heroku, and each new commit on GitHub is deployed automatically on Heroku.
A live demo is deployed on Heroku.
Competitive Advantage
Self-bag Drop system is our potential competitor.
Self-bag Drop system has many benefits compared to the current situation, including shorten queues at check-in counters. Some airports already have installed machines and propose this functionality.
However our product has great advantages on following factors:
Low price : free for our potential customers, Self-bag installation fee is high, and requires space at the airport, our product uses existing installation
Easy implementation: our product is for all types of airports, Self-bag is mostly implemented in big airports, as you need enough volume of passengers to cover the initial cost
Better travel experience: no more waiting time for our travelers with our product, however self-bag travelers still need to make a queue (and understand how the drop bag works)
Applicable for bother leisure - and business travelers
Rapid delivery: Time to market is very quick for our customers
Eco-system: Our product interfaces with airline IT and airport IT, simultaneous growth tin partnership constructions
Built With
angular.js
express.js
github
heroku
node.js
Try it out
github.com
vq-checkin.herokuapp.com | VQ Check-in | VQ Check-in is an innovative virtual queuing system for airline check-in desks. It can aid social distancing, minimize crowding and reduce physical touchpoints. | ['lei lei', 'Pierre HILT'] | ["People's Choice award"] | ['angular.js', 'express.js', 'github', 'heroku', 'node.js'] | 6 |
9,946 | https://devpost.com/software/travelbuddies | User Dashboard
Login Page.
TravelBook is a travel collaboration tool that allows you to easier plan and manage solo or group travel.
The Inspiration
Over the past year the travel industry has been severely impacted with various global events such as COVID-19. Revenue in the U.S. travel industry has severally dropped down about 39% and is heading towards an estimated 156 billion to 111 billion in Q3 2020 (1). This has caused disastrous results for many economies that heavily utilize the travel as a primary source of income as airlines, resorts and restaurants face the brunt of the flames and are either closed or running as little as 10% of their normal capacity (2). However, as the situation improves and people being to go back to pre-2020 levels there is a risk of decreased travel over fear. That's where we come in. Our goal at Travel Buddies is to make solo or group travel as seamless, safe and spectacular as ever.
How it works
Here's the concept.
Let's make planning less stressful.
Our platform allows you to create or join a travel plan solo or with your team. Work with live travel data to find exactly what works for everyone and share it to the group so everyone can make their plans accordingly. This allows you to not only prevent travel accidents like booking the wrong date or time but allows for proper notification when a change is made.
Let's make safety a priority.
Businesses that you plan to interact with can put the latest updates, policy changes or general reminders regarding their establishment directly to you before or after you interact with them so you're always in the know and get the information directly from the source. No more checking a dozen websites or wasting time calling numbers.
Let's be aware of our impact
Every car, bus or plane you take most likely will impact the places you travel to or from in some form. This could be climate change, pollution or traffic. It's always a good idea to be aware of the impact you are making and to work to offset that impact if possible. That's why we want to make sure you are aware of the ways you can impact the environment and those you interact along your journey and offer you with the knowledge and opportunity to help them along the way.
How We Built It
For our prototype we will be building a VueJS powered front end, NodeJS backend and REST API mediator to send data. We will be storing data in MongoDB using the mongoose/node library. For our flight/hotel and travel data we will be using various Amadeus Api services such as:
• Flight Offers Search
• Flight Offers Price
• Flight Choice Prediction
• Airport and City Search
• Hotel Search
• Hotel Rating
• Hotel Booking
• Safe Place API
All of this will be hosted on Google App engine.
Challenges We Ran Into
Time is huge problem. Especially since there is only two of us and each end of the project requires a lot of planning and work. API's are a pain too. We spent a great deal of time at the beginning just figuring out what core features we wanted to implement and the scale at which we were trying to build was definitely a bit much. As we worked on each feature and more time was taken up we realized we needed to more time to build this out. The backend worked rather well however we need to improve integration.
What We Accomplished
We did build a vueJS prototype however we had many issues with databases and data storage it works but we don't feel it's worth deploying. All of these problems can be sorted out with more time. We did however successfully use Amadeus API to gather trip information for planning so we definitely made progress.
Lessons Learned
We might have thought a bit big for only two of us. We definitely enjoyed the idea but there is much work to be done in order to rebuild this and show its usefulness. The concept of a single platform to manage all aspects of personal and group booking is no easy task but i will say that i have not yet given up for future redevelopment.
The Next Steps For TravelBuddies
We need to strip it down and design and plan from the bottom. One of the things the hackathon takes away is the ability to plan out with all the changes that need to be made (We also only joined on friday so we didn't have the advantage of time. I need to build a flow chart of the services and flow chart of the api structure. It's gonna be some work
We will definitely be continuing this project.
Code has been attached for front end as well.
Citations
https://www.statista.com/forecasts/1103432/covid-19-revenue-travel-tourism-industry-country-forecast
https://www.marketwatch.com/story/delta-sees-90-drop-in-revenue-hopes-to-stop-losing-cash-by-december-2020-06-10
Built With
amadeus
css3
javascript
jquery
node.js
python
rest
vuejs
Try it out
github.com | TravelBook | TravelBook is a tool that allows you to easily plan and manage solo or group travel. | ['Vincent Occhiogrosso', 'Muntaser Syed'] | [] | ['amadeus', 'css3', 'javascript', 'jquery', 'node.js', 'python', 'rest', 'vuejs'] | 7 |
9,946 | https://devpost.com/software/the-gating-game | Unity IDE
Login Screen
Menu Screen
Quiz Game Screen
Leaderboard Screen
The travel problem your project solves, including challenge(s)
The Gating Game hacks the Travel Experience by addressing the protracted waiting times as passengers arrive at the terminal boarding gates 1.5-2 hours before their scheduled flight departures. Already, theme parks and movie theaters have started to turn to location-based mobile casual entertainment apps to provide enhanced experiences to alleviate the real pain point of lengthy, idle consumer wait times.
Your solution and what it does
The Gating Game is a location-based casual game platform which offers airline travelers a shared, gaming experience that turns wait times into playtime. Multiplayer trivia quiz games such as HQ (2+ million weekly players) and Trivia Crack (20 million active users) are a popular gaming activity that appeals to the broadest demographics. Through the Gating Game airlines could offer extended branded experiences to loyalty program frequent-flyer members and provide opportunities for airline travelers to be entered into monthly and annual prize drawings while marking time at their respective boarding gates. It also provides airlines a digital tool to organize boarding queues via gamification. The Gating game is a timed trivia game which awards correct answers given in the least amount of time and subtracts time for any given incorrect answers. Trivia questions can assist passengers in learning tips and sightseeing suggestions for their final destination. Trivia questions can also involve reinforcing safety policies and essential travel advice. There would also be opportunities to create incentives to promote purchases of duty free and/or airport shop items within the terminal.
How did you build it?
We found inspiration from similar apps including the My Disney Experience mobile app and the Moovie Arcade mobile app. The Gating Game app is developed with Unity, a cross-platform game engine that can be used to create both three-dimensional and two-dimensional games for desktops, laptops, home consoles, smart TVs, and mobile devices.The game logic was coded using c#. The game passenger login, leaderboards and trivia quiz content will use the cloud based multiplayer game services provided by the Google Cloud Game Infrastructure.
What are you proud of?
We are most proud of being able to develop a rapid, working prototype of the mobile app running on Android S6 phone. We were able to create a modular framework for scaling this project for more widespread use. It's a good vertical slice of the proposed solution and offers a clear view of the product's user-journey.
What is the next step for your solution and how will you take that step?
There were many game functions we needed to table for future development to make the hackathon submission deadline. So, the backend development we punted on this weekend would need to be fully programmed. We would want to add some more visual animation and transitions to create more visual interest. Have some of the questions include image assets. Further user testing and refinement will be necessary. At this stage of development, applying a lean methodology to the concept to validate the assumptions of the possible end-users makes sense. As we collected more data and validate more assumptions, we would continue refining the prototype app and concept.
Links to test the solution (e.g., Github, Website, App, adobe)
Unity Source Files
![
https://github.com/pichya/TheGatingGame
]
Android .apk file
![
https://github.com/pichya/TheGatingGame/tree/master/Build
]
Built With
android
c#
firebase
unity
Try it out
github.com
github.com | The Gating Game | Multiplayer mobile gaming platform for travelers waiting at the airport terminal gates. The Gating Game turns airport wait times into engaging play times! | ['Julie Chase', 'pichya locharernkul', 'Gina Zdanowicz'] | [] | ['android', 'c#', 'firebase', 'unity'] | 8 |
9,946 | https://devpost.com/software/volynt | Dashboard
Notifications
Staff login
Daily checkup
Thermal scanner link
Statistics
Inspiration
Our team started Volynt because the new health authority and government guidelines requiring temperature screening puts travel companies between a rock and a hard place while they're desperately regain trust while the world reopens from quarantine. Companies are overwhelmed with extra logistics for temperature guns and staff doing the testing, which isn't accurate or cost-effective; guests aren't happy because screening it puts them in a tense interpersonal situation, and it's simply a job no one on staff really wants to do because it increases their risk of catching COVID.
All sides
are struggling and
no one
is happy. We thought there had to be a better way to rebuild confidence in travel companies and assure both staff and travelers that companies were minimizing their health risk.
What it does
For travel companies who want to protect the health of staff and their guests and are desperately trying to find a way to provide peace of mind and stay compliant with new screening regulations, Volynt gives an automated way to screen large number of guests in real time, in addition to monitoring staff health in real time. As opposed to the error-ridden current processes requiring a human doing the testing (temp gun pointed at forehead) Volynt looks at it differently.
We provide a staff-less, contact-less, and comfortable temperature screening and ongoing monitoring so companies easily stay compliant with screening procedures
with the following components:
Enterprise thermal kiosks
. Collect health data from
contact-less thermal camera selfie stations
to automate visitor screening and reduce time needed for mandatory staff screening upon arrival at work.Temperature reads are linked via QR code recognition to reduce screening time by up to 50%.
Continuously monitored accurate temperature
. We're using clinically proven, EMA approved biosensors which are Fitbit like wearables that come in the from of a single Airpod-like lightweight earpiece, or a thin silver dollar shaped disc that can be worn on a chest strap or clipped into a bra. These wearables are synced to mobile devices.
The Volynt mobile app
makes if simple for healthcare staff to do their daily symptom check, and is configured to make vibration alerts if the wearable senses a high temperature.
Alerts get pushed a a
desktop application
that allows managers to effectively track team health and proactively manage staff risk with an all-in one web dashboard.
The design of our system allows each of the components (selfie thermal, wearable, mobile app, or desktop app) to be either down-scaled or up-scaled according to a hospitality company's unique needs, allowing Volynt to rapidly scale in a variety of contexts.
How we built it
We used HTML 5, CSS, Javascript and PHP to come up with a web app.
We used Java to develop the Android App.
Machine Learning algorithms were used to let the thermal kiosk measure by measuring an accurate body temperature i.e. focussing on the corner of the eye to get a more accurate body temperature.
We used the knowledge of IoT to link data from thermal Kiosk, wearables, mobile and desktop app.
Challenges we ran into
Knowing the exact pain points of the customers before framing the solution by conducting various customer interviews.
Integrating all the hardware and software of the whole framework.
Accomplishments that we are proud of
The team pulled together and made a product out of scratch in less than a week!
What we learned
We were surprised to see the complete lack of solutions for travel organizations to protect staff worker health to reopen their businesses in the new normal. Part of this involved the challenge in architecting a solution that trekked across wearables, mobile phones, tablets, and desktop environments. Many out of the box platforms low code platforms did not have IOT integrations so we developed the mobile solution natively. We had to collaborate closely in order to ensure that the solution made sense.
What's next for Volynt
Launching
. We're planning to complete 5 prototypes of our kiosks in the next three weeks and send them out on the field to test. Our software development for the contact-less, staff-less thermal kiosks will be completed by then. The beach head market for this is hospitality, and we see this extending across airlines, cruise lines, public transportation, and retail.
How you can help:
Partnerships
We're looking for travel companies who want to partner in pilots to refine the value and processes of our system. If you're a hotel, airline, or public transport system, we'd love to talk to you!
Advisors
If you're also involved with large travel companies you'd can offer advice with on improving our solution, our team would be excited to hear from you. Also, the supply chain and logistics in order to simplify temperature screenings everywhere is no small endeavor. If you have experience with internet of things (IOT) devices manufacturing/assembly, our team would benefit from you advice on scaling this operation.
Funding
We are raising $2M USD in order to complete the AI engineering and the purchase/shipping of the device and wearables. We see the demand for this product as applicable across virtually any industry with staff that are at moderate to high exposure to populations of people, and we want to empower companies to define their new normal in a way that protects their teams. Additional vertical where we see we can make a difference are essential workers, warehouses, construction, and schools.
Try it out
github.com | Volynt | Protecting staff and guest health with AI-powered sensors. | ['Hazel Mann', 'JIJNASA NAYAK', 'Emily Bishop', 'Aneri Shah', 'Arundhati Kurup', 'Akankshya Patra'] | [] | [] | 9 |
9,946 | https://devpost.com/software/inspirestay | GIF
Mobile-friendly "safe-stay" landing page UI for guests to browse before booking.
GIF
Safety information for guests
GIF
Adding inspirations snippet to your email marketing platform
InspireStay
InspireStaty helps hotels drive more bookings through email marketing by embedding travel inspirations into outreach campaigns.
Inspiration
The hospitality industry has been hit hard by COVID-19 with travel coming to a complete standstill.
Since the public health crisis began escalating in mid-February in the U.S., hotels have already lost more than $33 billion in room revenue. Individual hotels and major operators are projecting occupancies below 20%. At an occupancy rate of 35% or lower, hotels may simply close their doors, putting 33,000 small businesses at immediate risk.
Travel needs to resume, but it must happen safely!
InspireStay was created to help the hospitality industry increase occupancies and generate more revenue by helping hotels inspire safe & unique travel experiences in their city.
What it does
InspireStay will be a SAAS platform for hotel marketers that integrates easily with their existing PMS, CRM, and newsletter platforms. Leverage existing lists or create your own and start sending compelling marketing campaigns via email to former guests to inspire them to travel to your destination and stay with you.
So how does this platform inspire travel? We put the guest first and think about their view of a world still inflicted with the spread of COVID-19.
Here are some of the important thoughts & questions travelers are grappling with before deciding to travel that must be addressed to reassure the guest before their stay:
We’re really wanting to get out of the house and travel locally, but if we travel to your destination, will we be safe?
What if a sick traveler stayed in the room before us, has the hotel done enough to clean the room so we are safe?
When we get there, how can we safely buy food & drink without the worry of infection?
Where can we go around town that will be a fun, enjoyable experience, but still safe?
How the InspireStay platform helps to address these questions
Former guests that opted into the hotel’s marketing program will receive an email and will look through the travel inspirations, kindling that urge to travel.
When they click the link, they will be taken to a marketing landing page which includes more information about the destination, complete with travel ideas to inspire their visit.
Additionally, to address their safety concerns, there will be a page that showcases the hotel’s current cleaning and safety measures as well as local statistics on COVID-19 cases in the area. All this information should help embolden the guest to feel confident that they are making a smart travel decision, encouraging more guests to book with your hotel.
Hotels using InspireStay can differentiate their brand from other competitors by leveraging the platform to give guests an increased sense of trust and deliver a higher standard of hospitality by playing an active role in their health & well being during their stay.
Guests simply want to know they are being cared for throughout their stay and InspireStay can help hoteliers exceed their expectations.
As hotels know, word of mouth is a powerful tool for driving business and guests will tell their friends and family about their experience, inspiring more guests to stay.
Proud of
The entire landing page can be scrolled horizontally for a smooth and user-friendly experience. It's also mobile-ready and will render flawlessly on the phone.
Next Steps
There are a few features that need completing, mainly the catalog of POIs, Events, and Itineraries. Search capabilities will be added to make it easy to find thematically relevant places for your guest to visit.
Looking to target families? Search for parks, playgrounds, easy walking trails, or places families can picnic. Pick your demographic and get as creative as you want. The power is at your fingertips!
Our parent company, Funtastic PBC, has an existing SAAS product that was created to make your hotel the guests' travel partner, by sending them SMS messages throughout their stay with timely and helpful quarter, half & full-day itineraries, thematically organized, to ensure that the guests experience on and off the property is enjoyable.
We will integrate InpireStay into that platform, allowing your hotel to give your guest a truly high-touch and white glove hospitality experience on their travels.
Built With
I leveraged MongoDB, Loopback (Node.js), VueJS & Vuetify as our tech stack for this hackathon.
APIs & Data
Eventful API to power Events shown in the app
Funtastic, PBC home-grown data for powering POI information
Links
I did not have the time to publish this to the web. If you'd like to see more I'm happy to do a live demo. 2 minutes really didn't do all the work I did justice. :)
Built With
loopback
mongodb
node.js
vue
vuetify | InspireStay | Super-charge your Hotel Marketing Campaigns
with COVID-Safe Inspiring Local Hot Spots | ['Scott Brooks'] | [] | ['loopback', 'mongodb', 'node.js', 'vue', 'vuetify'] | 10 |
9,946 | https://devpost.com/software/crowdview-g3h0df | Map View with hot posts nearby
Location-Based Post with specific types of messages
Real-Time Local Feed with ability to view different scopes of activity
User profile with timeline of trips generated automatically
Venue profile with associated posts and guest book
Inspiration
Whether we’re with friends or not while traveling, it's hard to know what's going on
now
in a new place. Hot events? Crowds? Delays? Deals?
We present here&now, the social network for travelers. With here&now, wherever you go, there’s a community of people at your destination. By allowing travelers to engage with other travelers nearby through sharing insights, communicating hazards and delays, highlighting locations, and more, here&now helps build an immediate community wherever you are.
What it does
here&how is a localized social network that connects users with others in their area, particularly in tourist destinations where leisure is the focus--although local users are also encouraged to interact and benefit from the community. It does this through providing a real-time map and feed where users can make and view location-based posts, promoting a sense of connection between people in the area by providing a platform for dialogue.
Upon opening here&now, you'll see all kinds of remarks, tips and alerts in the form of categorized posts from other users nearby. You can search and filter through these posts to gain specific information. You also can add to the discussion yourself by making a post linked to your current location, helping those coming after you or interacting with those around you! If you're in Bryant Park in NYC, you can make a post linked to Bryant Park, Midtown NYC or NYC as a whole. If you're at home in San Francisco, however, you can only comment on these posts or ask questions.
The here&now community also has a practical purpose of providing community-driven alerts to users about nearby hazards, crowds, lines, and other types of immediately useful information about nearby locations. This has the added benefit of facilitating better social distancing amidst today's COVID challenges, as here&now will integrate crowd-density-specific posts and data collection into its structure.
Additionally, here&now creates a community of travelers through allowing users to curate automatically generated timelines of their travels while earning badges and building relationships with others they meet on their journeys by adding friends and followers on the app.
A basic outline of the various functionalities of the app that contribute to building the real-time community are outlined below:
Local Map View
Bird’s Eye view that contextualizes user within neighborhood
Highlights hot posts from their relative geographic position
Emphasizes temporal topics, such as hazards and crowds
Similar to Waze, produces socially useful source of truth on local situation
Location-Based Post
Posts tied to location, tagged with topic that focuses discussion
Users restricted to posting in current location
Flexible format allows post to fulfill many different purposes
Write to guest books tied to venues, such as hotels, that can be seen by future visitors
Remote users can post questions in any location
Real-Time Feed
Stream of real-time posts made in geographic vicinity
Adjustable regional granularity, filtering based on distance, time, and popularity
Engage in dialogue on local posts through
associated threads
Explore conversations in other geographic locations
Travelers, businesses, and locals engage in one real-time, dynamic community
User Profile
Seamlessly summarizes user’s travel experiences in integrative timeline
Timeline of user’s trips that provides detailed memory of journey
Integrates user’s posts on all topics into a single location, producing clear narrative
Other users can draw inspiration from profile timelines
Add friends and earn badges for contributing to community
Venue Profile
Aggregates posts of all categories made at point-of-interest
Many different modes possible, including hotels, airports, restaurants, hiking trails
View historical and current insights from other travelers
Guest book preserves messages from past travelers
Business can engage directly with visitors via offers, messages,
Use-Cases
here&now has many possible use-cases that apply to many sorts of venues, allowing two-sided communication between business-owners and their customers, including:
Airlines & Airports: Provide updates on check-in lines, delays, crowd density
Hotels: Up-to-date info on vacancy, deals, status
Restaurants: Updates on crowd density, queues, menu items
National Parks: Inform on current conditions and advisories, communicate events like bear sightings
Beaches: Lifeguards and beachgoers could communicate about tides, weather, etc
Museums: Create localized discussions on exhibitions, artwork
Stores: Promote new items and samples, provide localized, personalized deals for users
How I built it
here&now will integrate a React Native frontend and Python Flask backend that connects to a MongoDB database that will contain user profiles, posts, and venue pages. The entire platform is hosted on Amazon EC2. Additionally, we will also use Hadoop MapReduce to analyze location data we gather from users and the SafeGraph Data Consortium to produce predictions on crowd density.
Challenges
It will take careful consideration of the user experience to produce a final platform that is intuitive and easy for users to navigate and use for the purpose of building localized communities. We will also have to be concise in terms of teh features we offer and the ways in which users can communicate and interact to preserve the local concept while simultaneously making the experience engaging enough to sustain long-term users. In terms of infrastructure, providing the service to encompass large geographic areas and large numbers of users and posts will be a challenging task if we achieve such growth. We are also currently resource limited in terms of access to cloud computing resources such as AWS, which will be integral to implementing the service.
What's Next
In order to manage these challenges, we will start with closed-beta releases in specific geographic neighborhoods that will allow us to test and hone the concept before implementing it on a broader, more resource-intensive scale.
We hope to finish building the app and setting up the backend infrastructure shortly, using our past experience with these platforms to our advantage, before looking for ways to effectively beta-test the platform.
Built With
amazon-ec2
flask
hadoop
javascript
mongodb
python
react-native
Try it out
docs.google.com | here&now | the social network for travelers | ['nsang0u Nsangou', 'Geoffrey Lu'] | [] | ['amazon-ec2', 'flask', 'hadoop', 'javascript', 'mongodb', 'python', 'react-native'] | 11 |
9,946 | https://devpost.com/software/touchless | Inspiration
People who needs special attention at the airport (regular passengers and MAAS passengers)
What it does
Provides and automated and optimized flow to avoiding contact during the embark, during the flight and after flight
How we built it
An API consumed by a web/app built in angular, published and shared with the airports, airlines and passengers
Challenges we ran into
Creating facility instead of large process and procedures
Accomplishments that we're proud of
make the aviation/tourism industry more humane and inclusive
What we learned
What's next for Touchless
RESULT:
The idea of this project is to improve the travel experience from people who have some kind of reduced mobility to help them during the
embark/disembark journey and during the flight.
The main idea consists of an API to register customers with all personal information such as:
special conditions like mobility reduced, any attention health/clinical note, passport, visa, meal preferred, services and any additional information about services.
After the registration the customer will have an unique global ID. (unique id: SMITH#AIzaSyA3GhcB#1234678@)
With this unique ID the passengers can import their data during the booking process in any airline associated with us. Through an API integration.
No touch to verify the documentation or any passenger information during embark and during approach to embark and disembark at the airport.
Products:
API to authenticate the customers to import their informations to any airline associated, prevent to then to fill the forms every single time.
API to help the airport operation helping customers during the embark or disembark in case of necessity. (
https://firestore.googleapis.com/v1beta1/projects/hackaton-travel-scrum/databases/(default)/documents/passengers/
)
Portal/APP to airport and airlines to track the passenger at the journey
(
https://hackaton-travel-scrum.web.app/#user
)
Portal/APP to customers, they can manage all information including authorize the airline to retrieve any data from our API.
(
https://hackaton-travel-scrum.web.app/#airport
)
Roadmap
Blockchain to authentication and exchange any passenger information
Face recognition, user verified (crossing data: visa, passport and uploaded video)
Publish the API to be accessible by airlines, so they can integrate the customer page with our API retrieving pax information.
QRCode to identify the passenger during any process (embark, disembark, booking, during flight)
Built With
angular.js
api
python
Try it out
hackaton-travel-scrum.web.app
hackaton-travel-scrum.web.app
firestore.googleapis.com | Touchless | optimize the airport process before flight and after flight, helping the airports handle with all passenger and with pax who needs special assistance | ['Roger Leite', 'Arenda Freitas'] | [] | ['angular.js', 'api', 'python'] | 12 |
9,946 | https://devpost.com/software/love-and-hate | Direct
Online Travel Agency
Merchant
Global Distribution System
Business model canvas
Problem
The travel book experience for hotel booking is broken, travellers are forced into a booking process where the rooms they book are being sourced by either many layers of 3rd parties or necessitate a huge organisation of sourcing experts. This prevents smaller new entrants from delivering products and travel services that could move the industry forward. In today’s landscape of e-commerce platforms, mobile apps and chatbots, it would be ideal if any platform, app or bot could provide hotels with direct bookings.
This will fundamentally change the way people are booking their trips. Today, they depend on Online Travel Agencies and in the near future they should be able to ask Slack or Alexa to take care of their booking.
Hotels suffer a lot from the legacy technology and 3rd party sales and connectivity layers. In the last decade hotels started to find their way to the direct guest and these efforts have paid off, but they still lack in taking control of their audience at scale. The distribution ‘tax’ is placing a big burden on hotels profitability. With distribution tax we mean margin and fees to 3rd parties like bed banks, GDSs and OTAs.
We have broken down the problem definition into four components:
Increasing the amount of direct sales is the biggest challenge for hotels.
OTAs insert themselves between the supplier and the guest
The distribution tax makes it very hard for hotels to make a proper margin
All connectivity layers make entry for new travel product sellers to market complex and pricy
For reference please find below the breakdown of how 1 dollar booking revenue is broken down into net revenue for the hotel. The direct model delivers the highest net revenue.
Our solution
A platform that opens hotel inventory up and allows travel sellers to connect the traveler directly to the hotel. This makes everyone (developer) able to become a demand partner for hotel distribution without large fixed costs and commitments.
Example of demand partners will vary from travel booking service providers on the short term to mobile application build with our API on WeChat, Whatsapp, Facebook messenger, Slack etc. even Amazon Alexa.
How did we build it
We investigated the world of hotel distribution and after several interviews with both hotels and OTAs we came to the conclusion that the systems they work with are very much from the 20th century. The amount of distribution layers is comparable with industries like the telecom or advertising industry from 25 years ago. Looking at the evolution of the telco industry or advertising industry today, they distribute their services all via API based digital partnerships. Take Twilio for communication services or Google for advertising as examples.
The airline industry takes advantage of this development and based on IATA’s new distribution capabilities (NDC), more and more airlines make their inventory directly available via a flexible API to travel sellers.
We looked very closely at these examples and became very enthusiastic about the fact that the hotel industry has a comparable initiative like NDC. This is called Open Travel Alliance (OTA). OTA is striving for a standard and its mission is: Enabling the future of travel by driving the evolving digital experience for consumers.
Based on the OTA specifications we build the direct hotel booking API that will connect with an extranet to onboard the hotels content, description and manage availability.
We are proud of
Not being afraid to take this challenge and to change the industry. Our solution on scale will make a large impact for all players. It is time for hotels to choose their own path and expand their direct sales beside their own websites transparent partnerships that make the traveler more respect the booking experience and thus their complete travel experience.
Our next steps
Our next step we will take is after evaluating feedback from the Trave/Scrum jury to further research willingness of hotels to join our mission. We will continue to build and test our MVP with early adopting demand partners and deploy it at scale. All foregoing will be mandatory to make a solid financial planning and assess funding options.
See for reference our business model canvas for high-level overview
What tech did we use
We developed our API using Go to provide sub second performance and achieve high scalability. As the backing database we used a distributed MongoDB server with replicas across all the continents to provide low latency responses to users spread across the globe. Finally we deployed the API in our Kubernetes cluster.
Built With
go
kubernetes
mongodb
Try it out
documenter.getpostman.com | Love and Hate | Hotels and OTA's live in a love and hate relationship, hotel distribution needs a new and flexible way like many digital products being available to partners and users via a single API | ['Mendel Senf', 'Imre Vogelezang', 'Georgios Georgiadis'] | [] | ['go', 'kubernetes', 'mongodb'] | 13 |
9,946 | https://devpost.com/software/destination-marketing | Home Page of Solution
Our
motivation
for this hackathon is the cause...
The possibility of bringing back the livelihood of the tour guides who predominantly live hand to mouth.
In the process we also have attempted to bring back business of the local small businesses.
We envision a
marketplace
called
SmallTalk
for virtual tours which provides a personalized and close to real experience for the tourists through virtual live tours. Tour guides in the process get paid for the tours.
We piggyback on the trust gained by the tour guide to sell local specialty products like honey, tea, spices etc. The e-comm of this is again enabled by the
SmallTalk
platform.
The solution works on a proven, robust Open source e-comm platform called
Magento
.
Here we don't build or code - we configure. For example we just configure look and feel of the site, add products, add categories of places to visit like monuments, wildlife etc. without a single line of code.
Also for guides we use free products like Google Meets or Zoom for virtual tours and commodity smartphones mounted on tripods for wider view.
The solution is
live
and accessible on the link shared.
We are extremely proud of arriving at a
viable yet not very complex and salable solution
that is ready to be taken to end users.
We are also proud of what we could achieve in 3 flat days, when we started configuring Magento.
The solution has a viable business model as its based on non for profit model.
The next steps are to scale this solution and configure few features like guide registration etc.
We really hope this solution sees the light of realization and enables in its objective of returning livelihood and business to our brothers and sisters out there.
–Signing off with high hopes
Team Dreamers
Try it out
magento-10103-0.cloudclusters.net | Destination Marketing | We envision a marketplace for tour guide and virtual travelers to enable livelihood of guides while meeting the travel hungry tourists | ['venkatapavithra ch', 'Satish Vijayakumar', 'Prajwal V Bharadwaj'] | [] | [] | 14 |
9,946 | https://devpost.com/software/inflight-buddy | In the new normal there is a high risk to cabin crew members and other flight staff as they are unable to maintain social distancing within the confines of an aircraft.
Technology has allowed the airline industry to become more connected, yet the inflight catering is done manually which increases the chance for exposure between crew members and other passengers. Similarly, the other interactions happening within the aircraft can also be optimised.
We would like to use this opportunity to explore how technology can automate the inflight servicing and ensure the safety of Airline industry employees and increase the confidence to fly for future passengers. We are aiming to create a system that can connect crew members and passengers to allow inflight service with minimal human interaction.
Textual Pitch-
https://docs.google.com/document/d/1yAthqzx1Fg2cerwuYcGxELlhC3VehpfDCOPPxk3Abps/edit?usp=sharing
Youtube Link-
https://youtu.be/_oLg26IQx44
Built With
apple
framework
ios
multipeerconnectivity
objective-c
uikit | Inflight Buddy | A system that can connect crew members and passengers to allow inflight service with minimal human interaction. | ['Niharika Inala', 'Jitin Arora'] | [] | ['apple', 'framework', 'ios', 'multipeerconnectivity', 'objective-c', 'uikit'] | 15 |
9,946 | https://devpost.com/software/safecations-2020 | AdvisorTrip... SAFECATIONs are the Smartest Travel Trends for Tourism
Customer is the King if we provide all of the guidance & arrangement to serve.
Inspiration
Being stuck in these times have compelled us to rethink the new way of conducting business & Tourism business
What it does
We have to reinvent ourselves, form a common platform to tackle this pandemic like a world supermarket e.g IATA
How I built it
After reading several Government policy, lonely planet, outlook travelers, other journal trying to come with SOLUTION
Challenges I ran into
Getting the data, facts and Figures were challenging, but still on the way manage to get a blueprint of Advisortrip.
Accomplishments that I'm proud of
manage to get some website and promote on the lines of Tripadvisor, that people worldwide acknowledge Advisortrip
What I learned
A LOT OF WORK needs to be done and seeking knowledge, information, guidance, protection & arrangement
What's next for SAFECATIONS...2020
Travel & Experiences
SAFECATIONS Are Smartest Travel Trend After months of staying at home during the pandemic, since the coronavirus outbreak—canceled or postponed trips, closed hotels, and halted flight routes. But as the weather warms up and parts of the world slowly begin to reopen, travel still seems to be very much on the table in the coming months. Travelers will just need to be extra cautious as IATA Launches Travel Regulations Map.
With business trips all but wiped from corporate expense reports, corporate business travel industry stakeholders have been thrust into an unprecedented scenario. Uncertainty is at an all-time high, but what is clear is that business travel management FinTechs aren’t sitting idly, Several tech firms are hoping the travel industry will rush to buy digital tools designed to reduce how much contact travelers have with surfaces touched by strangers and how often they interact face-to-face with staff. Yet it remains unclear what’s actually happening and what’s hype from vendors. The new ICAO report aims to support the aviation industry in restarting the international air transport system and aligning its global COVID-19 recovery.
A decision on restarting international flights might not entirely be India's call, given that this depends mostly on the destination country’s assessment of India being safe and consequent permissions that need to be issued to Indian carriers to fly to their airports, With the entire travel industry essentially on pause and no clear answer about when things will return to normal, one thing is certain: Travelling in a post-COVID-19 world will not be the same as before, WTTC has come out with the world's first global safety stamp to recognise ‘Safe Travels’ protocols around the world. Saudi Arabia, Barcelona, Portugal, Cancun and Seville are the first to adopt these private sector protocols &/ stamps.
While pandemic-era policies are still being developed at hotels around the globe and will no doubt vary widely, it's safe to say that guests will see big changes the next time they check in anywhere, Covid-19 has put the travel to a halt. While experts agree the tourism industry remains in flux, there are early signs of adaptation and resilience that are fueling consumer confidence, Air travel is set to undergo massive changes in the near future. From thermal scans and sealed meals to immunity certificates, the new age of sanitised travel will be unlike anything we have seen before. Therefore we can broadly classify into 3 category as:
The young professional Age: 20-40 years old
The local family Age: 25-50 years old
The backpacker Age: 18-28 years old
WTTC alongside our Members, governments, health experts and other industry associations are working together to achieve effective recovery protocols by developing meaningful action plans that optimise sector-wide recovery efforts
We always strive to make travel safer and convenient for you, which is why we launched the safety program, in collaboration with our key travel partners. In our endeavour to make travel safer for you at every step, we now bring you helpful tips and guidelines for your future travel. From staying in hotels to travelling via air, train, road to shopping and dining, That COVID 19 is impacting travel and tourism like no other episode in recorded history is now understood by all. Now is the time to look ahead, post COVID times, and Industry has been caught in a midst of a storm, that is raging across the economy.
Tourism is invariably the first to get affected and the last to recover. There is stress How will travel and tourism plan out once the lockdown is partially or fully open . The last few weeks, every sector of the economy has come under acute stress. Undoubtedly, the travel, tourism and hospitality vertical has been more hit than others, being in the front end from ensuring price competitiveness, offering an equally superlative experience as by competing destinations, to keeping its beaches clean, hygiene, safety standards are all the hour of need
WITH the arterial nodes of the world in a state of total lockdown, the travel and tourism sector is not only being mauled in the short term, but will also experience the ripple effects and Govt across the world has set the pace with not only emphasising the importance of domestic tourism but also giving good reasons for doing so seeking holistic development for world tourism, which we believe is increasingly all embracing, stretching across sectors of the economy and society, ‘Joining the Dots’ in industry and government for holistic and all-embracing development of the tourism sector has long been the big puzzle for stakeholders, The world traveller has truly come of age. They are travelling to the distant corners of globe and showing a never before tendency of embracing the unknown. This major transformation has changed due to technology and digitalization.
The media has been abuzz with speculation on the fate of the beleaguered airline. Having stopped its operations, a dwindled supply has caused a considerable spike in airfares on key routes, Concern looms over the fate of the vacation season as the world aviation sector continues to battle serious headwinds. Uncertainty around the revival of Tourism, we have to stand strong in putting forward the concerns of the Tourism Industry and letting them know what we are expecting. We have to do our bit to make sure that Tourism survives these difficult times. Let us come together as one voice and share our vision and strategy to overcome crisis. I have accepted the fact that I have lost all and there is nothing more to lose. I am an entrepreneur, reborn, starting from ground zero and rebuilding upwards with experience of more than 23 years serving Worldwide Traveler, makes me beleive in my moto as we are left with us high and dry,
I am based in New Delhi and plan is to build world's most comprehensive & user-friendly Travel Portals, aiming to be a one-stop-shop , or rather a travel supermarket for anyone wishing to travel within or from India-regarding hygiene, cleanliness, safety for guest travelling & promote sales & marketing of hotels, resorts including sale & purchase of properties pan India, Re-engineering /restructuring of Finance and Artificial Intelligence embedded on our website. The strategy is to offer highly personalized and tailored solutions to meet the needs of today’s evolved traveller, both in the B2B and B2C guest. Connect with me today on +919958093760, email :
sandipshaw1971@gmail.com
. Sandip Shaw, India.
Built With
google-research-search
journal
policy
regulations.gov
Try it out
safecations.website2.me | SAFECATIONS By AdvisorTrip | Lockdown is for Body not for Mind & Soul.. Aways keep it Open, benefits of the Covid-19 epidemic is a total rethink about how we live, work & travel. Tourism is to adopt, adapt & accomodate. | ['Sandip Shaw'] | [] | ['google-research-search', 'journal', 'policy', 'regulations.gov'] | 16 |
9,946 | https://devpost.com/software/fever-finder | user experience of Fever Finder
leaflet that shows passengers how to use the thermometer
Inspiration
We assist passengers to easily check and communicate their temperature to airlines.
We provide a thermometer, the app interface and the backend functionality to allow passengers check themselves for fever. Fever is the most common symptom of Covid. By checking for fever before starting a journey
we can make our passengers, staff and communities safer. And that people can fly with the reassurance that others have checked themselves as well.
Protect your passengers. Protect your business. Be socially responsible.
What it does
Fever Finder is a Hygiene and Health solution.
Before starting their journey the passenger takes the strip thermometer and checks their temperature in the mirror. They then input their temperature into the app.
If they are within the normal range they are advised of other health protection steps they can take for their journey
If they have a fever they are told their ticket will still be valid for the next 12 months and are given advice on how to contact the relevant medical authorities.
Fever Finder thermometers have externalities in that the airlines are helping the community if their passengers continue to check themselves for fever on non travel days.
How we built it
Our teams experience with airline APIs will allow us to quickly integrate with the airline systems. Our backend a Flask API that works with Rabbit MQ. It integrates with the standard GDS APIs and our team has decades of experience in programming for airline APIs.
The website showing the functionality is at
http://feverfinder.chatbot-consultancy.com/
We have turned off PNR checking to make it easier to test. This will be part of the airlines app when we deploy not a stand alone website.
We have sourced a European producer of Liquid Crystal Thermometers strips that meets all EU requirements and standards. These high quality, reusable, easy to read strips are more expensive than some manufacturers. Our cost per unit for Airlines will be €2 per pack with our purchase, printing and logistics costs at €1.
Our clinical lead is Dr P Brady who advises us on all medical issues.
Challenges we ran into
It was hard to work out the business model for such a new kind of product. We eventually realised that it was in everyone's interest if the use of LCT strips was easy for passengers. As such the airlines will buy the packs from us. And those passengers who do have Covid-19 symptoms will be dealt with in a helpful and automatic manner to encourage their honesty in reporting.
Accomplishments that we are proud of
We are in negotiations with two mid sized carriers and an airport about them using Fever Finder. The airline will buy our packs and supply them to their passengers.
Fundamentally it is only when Fever Finder's solution is deployed and is making air travel and our communities safer that we will be proud.
What we learned
The mentors were great. They pointed out new things we had not considered and really helped us focus our concept.
What's next for Fever Finder
We have to get LCT strips in peoples hands. And our api functionality deployed in an airlines process
Built With
amadeus
amazon-web-services
bytemark
duffel
flask
ndc
python
wordpress
Try it out
feverfinder.chatbot-consultancy.com | Fever Finder | Fly Fever Free | ['David Curran', 'Ben Waymark', 'Bertie Beattie'] | [] | ['amadeus', 'amazon-web-services', 'bytemark', 'duffel', 'flask', 'ndc', 'python', 'wordpress'] | 17 |
9,946 | https://devpost.com/software/dgroops-healing-solution-for-group-travel-e3tco5 | DGROOPS 4 GUIDES
The idea
To restart Group Travel sector by creating a one-stop-shop for all the B2B stakeholders of Group Travel Bookings, enabling them DIRECT negotiations and total control over their rates and availability, new sustainable business model and global outreach.
As this is big project during this TravelScrum Hackathon we will build a prototype for DGROOPS 4 GUIDES part.
Inspiration
We were inspired by all the stress and time that is needed to create only 1 travel group: exchange over 780 mails, hundreds of phone calls, forgotten deadlines of payments, no adequate channel to search for suppliers in different countries etc.
Groups are managed maximum in Excel spreadsheets by Travel Agents or back offices that are not integrated with other suppliers, whilst Travel Guides do bookings and manage them with pencil and paper and via emails & messengers. They do need innovation.
Problem
With COVID crisis Travel Guides were affected the most, they were left unemployed, without any tool to find new partners. Many of them are not allowed to accept groups in their destinations. They do not have a channel to promote themselves to potential new partners (Travel Companies). Before they used guide associations, social media groups (mostly local) & word of mouth, which is now definitely not enough! They need to get access to wider network, better international one.
TravelScrum Challenges
We address 2 out of 3 challenges:
Travel & Experiences:
DGROOPS project has potential of positively transforming the Group Travel industry, which used to be $192 bln annually. It digitalises the whole workflow from searching for partners to communicating & managing all the information.
To Travel Guides it gives operational efficiency, with possibility of searching for new groups, planning their bookings and sharing all the relevant information with other stakeholders. It gives possibility to decrease unemployment after the crises.
Sustainability & Relief:
DGROOPS is offering new, sustainable Business models, that are now searched for: there is a strong trend from moving to direct bookings to increase the margins, need to quickly shift to different destinations.
The goal is to make DGROOPS a daily used tool, which creates safe environment (through verification and reviews), it has a fair pricing (1% of commission for hotels, which allows to keep the prices at net level, small annual fee for Travel Companies and no commissions so they do not bypass this tool and for Travel Guides the post COVID year we offer for free, then we will introduce small annual fee).
Solution:
DGROOPS 4 GUIDES , the first worldwide B2B platform that enables DIRECT collaboration between trusted Travel Companies and Guides.
What it does
DGROOPS project is a B2B software and marketplace that connects all suppliers for group travel (Hotels, Transport Companies, Travel Guides, Insurance Companies) and buyers (Travel Companies) to cooperate directly without intermediators and more efficiently.
DGROOPS 4 GROUPS: gives new channel for Travel Guides to find new jobs and gives a tool to efficiently manage their travel groups inside and get bookings even being offline.
EVERY USER when registering is waiting for DGROOPS validation (of the data provided, licenses etc.), when approved (which takes 2-3 days) he/she enters the platform, creates personal profile with relevant data, updates availability calendar and can immediately connect with all the suppliers inside the platform. Travel Companies search for Travel Guides filtering by destination, languages spoken, availability and of course, the feedback received. Travel Guides get booked even being offline, do not need to recheck their availability, loose time and potential bookings… When getting a group, Travel Guides have access to all relevant information, updated instantly (rooming lists, itinerary, special requests etc.).
How we built it
We used HTML and marvelapp.
Challenges I ran into
We are non tech team, with 0 IT skills, we met IT part of our team here and they were not able to communicate well due to language barrier and we lost one team member, whilst other could not deliver and communicate with us, we have found a senior backend developer, but the frontend and design was mainly needed, so he struggled to deliver.
Accomplishments that I'm proud of
Our client's feedback, we did customer interviews to validate the idea. Being more than 15 years in the industry we have a broad network of targeted contacts.
Rapid prototyping of frontend by a strict backend developer
What I learned
Finding a right partner on every stage of the project is crucial. It is impossible to build a tech product just with the industry knowledge, at least one member with IT expertise should should be in the core team. You need find IT members before joining events if you want to be sure you will get a result.
What's next for DGROOPS healing solution for Group Travel
For DGROOPS to find a partner from the industry that can help to scale up and “open doors”
For DGROOPS 4 GUIDES:MVP testing with real users, we will start with Italian market, as we have our personal networks there and it is effected the most. We already talked to GTI (Guide Turistiche Italiane) to agree on a pilot.
We will get their feedback (through customer interviews, monitoring the user’s behaviour), based on it doing iterations and building the commercial version of the platform, In the meanwhile, start spreading the word by contacting guide's associations, our personal networks and ultimately getting traction.
Built With
marvelapp
sketch | DGROOPS healing solution for Group Travel - DGROOPS 4 GUIDES | DGROOPS helps Travel Guides to find new job opportunities by connecting them to hundreds of potential partners and giving them tool to manage group bookings in an efficient way. | ['Katarina DGROOPS', 'Maurício Vieira', 'Angelinas Dimitri'] | [] | ['marvelapp', 'sketch'] | 18 |
9,946 | https://devpost.com/software/traxit | This the latest prototype of the tracking device
Inspiration. The current suffering of the whole industry is huge. The major problem consists in considering travel unsafe and increasingly complicated, moreover for passengers who need to fly a lot like Corporate travelers used to. We took it from there and we decided to tackle the 1st and 2nd theme of the competition, since Health is key to a confidence boost and a fuller recovery, and by strengthening the post-Covid health approach and measures we also improve the customers travel experience.
What it does. We built an App for the collection of personal health and travel data in exchange of accolades and benefits. We believe that by offering an immediate return we may obtain a more willing and meaningful support from Corporate travelers, the market segment that probably will be the most affected presently and in the years to come. The App enables contact tracing using Apple and Google API, respecting privacy to the full extent of the law. By loading all different sequence of events in our back-end platform, which runs on Ledger, we certify passenger’s health events, enabling pre-flight scrutiny and obtaining "Fit for Flight" status, the green light that may speed up all the check-in, security and passport controls activities on departure, and avoiding quarantine restriction upon arrival.
From the App passengers may:
• Check their risk level and send alerts to local health authorities in case of symptoms
• Check updated information about pandemic spread on a local and global level
• Verify Immigration requirements at destination
• Download a QR code and receive a physical card, too, if useful to benefit of the accolades
Benefits for the other stakeholders: The data will be shared by the different stakeholders (Airlines, Airports, Government Agencies, Doctors, Health Authorities, Hotels, …), who will have different level of security access. Such capture of forward data will be very useful to target offering and adapt to the increase in demand as soon as it is manifesting. All stakeholders will receive aggregated data and take useful decisions accordingly: arrival airports to verify health status of arrival passengers, arrival hotels to decrease pre-sanitary activities.
How I built it. I used
www.justinmind.com
for the prototype.
Challenges I ran into. The absence of a proper UI developer in the team made us suffer a lot more!
Accomplishments that I'm proud of. I made a very good prototype, a nice presentation and most important, our App can truly benefit the industry. Our Mentor Kevin had the ability to make us focus on the things that mattered the most to obtain the best possible outcome
What I learned. Hackatons are not a piece of cake, but they are fun!
What's next for HEALTRAX. We will embed the App in our current tracking device offering, thus making our value proposition even more global and effective, covering the whole Corporate Traveler segment. We will look for partnerships with airlines and CTM, making our PaaS easier to adopt through our APIs. We look forward receiving some feedback from all of you to start testing
Built With
dlt
Try it out
www.justinmind.com | Traxit | Restore confidence in Safe Travel | ['Pietro Lanzarini'] | [] | ['dlt'] | 19 |
9,946 | https://devpost.com/software/qbuster | In the new normal situation, the safety of travelers and staff is of utmost importance. Considering the major safety aspect of keeping social distancing, we are targeting crowded places to minimize exposure.
In an airport, there are several places such as queues at security check-up, baggage check-in, etc. where following the social distancing guidelines can be difficult for travelers and safety may be compromised.
We would like to envision a platform that acts as an interface between travelers and ground staff to help give real-time information and create a safe alternative to the queue system.
An important aspect of this platform is to consider the fact that internet access may be limited at airports and an alternate system needs to be used.
Implementation of this system would increase traveler confidence and also ensure the safety of partners in the airline industry.
Built With
andoird
google-nearby
java
Try it out
github.com | QBuster | No more queue | ['Sagar Durgannavar', 'Saiprashanthi Mallepali', 'Smita Shanbhag'] | [] | ['andoird', 'google-nearby', 'java'] | 20 |
9,946 | https://devpost.com/software/crew-care | Problem –
Owing to the current business scenario, many people in the travel and hospitality industry have lost their jobs, which is not only affecting their lives but is also affecting the local economies.
With the new normal setting in and world opening up, we believe the organizations particularly the airlines might find themselves in an operational challenge of finding crew who would service the craft, primarily driven by the local quarantine requirement, which varies from location to location.
We believe that, this challenge presents us with an opportunity to manage the airline’s operational needs by providing opportunity to the locally available and capable talent to augment the operational capabilities.
This also aligns with the theme of “Sustainability and Relief” that the Travel Scrum Hackathon has highlighted.
Solution:
We aim to build an intelligence backed Marketplace engine, which would help airlines uncover their resource shortfall while factoring in the parameters such as local quarantine requirements and automatically match them with most suitable candidates based on the experience and operational requirements which includes the crew available to fly from various organizations, extending their partnership beyond Loyalty points for flyers .
For Airlines , This is will augment the on-demand operational needs of the airline while optimizing cost and avoiding last minute hiring rush along with earning from their unutilized staff which have got impacted to route cancellations or grounded flights.
For employees and potential candidates, beyond job security, this structure will also provide an earning opportunity in the current tough time and may be a future flexible earning option in case they wish to continue with the same model of employment.
Kronos has various possibilities of expansion with a possible augmentation of the airlines hiring process and a consumer engagement model with simplified itinerary planning.
Kronos is envisioned to have following components that would form the complete solution outline.
Matching Engine – An always-learning candidate-matching engine that takes into account the location guidelines; Aircraft operational requirements and the crew qualification.
Marketplace – A discovery tool bringing together various airline organization to connect their available and eligible crew with others enterprises and a promotion mechanism for the candidates to make themselves visible for an opportunity.
How we built it?
We built Kronos with a Design Thinking based approach and taking the below journey of evolution:
Explored and captured the understanding of users, consumers, the market and the eco-system. Since we did not have direct access to the airline staff or crew members, we worked with our Mentors, treating them as proxy users and capturing further information from secondary research provided by various resources.
Identified opportunities of intervention where we could achieve win-win scenario for Airlines, consumers, employees and the potential candidates.
We achieved this via journey mapping exercise where we captured the expectations of different user groups involved and their pain points in current environment to manage.
Ideated on what could be possible solutions that we could create and shortlisted the one with the most potential to scale and succeed. The validation was done along with our mentor to make sure that we are moving away from our core observed theme.
Prototyped the experience to gather the feedback and create a north star for us to work our POC towards. The Prototype was aimed to highlight and communicate most critical part of the idea and to capture validation from our mentors to make sure the developed component is in right direction
Designed and developed a working technical POC to highlight the feasibility of the idea and highlight essential components of operation including the visual of the market place and the algorithm connecting the pieces together.
What are we Proud of?
While there are various things that we are proud of, the one thing that takes the cake is our passion and drive for the idea, which powered us to come this far in just 3 days of time. A very close second (which I am trying to sneak in ) is the collaborative spirit in our team to independently craft components, which come together like magic at the end.
What is the next step for our solution and our approach?
As now we have a demonstrable component to validate and get feedback on our idea, we would ideally want to collaborate with Airlines such as Turkish Airlines and their partners or Airline solution providers such as Sabre or Amadeus to build a POC on live data to showcase the art of the possible in the real sandbox environment.
By being a part of this hackathon, we have already taken our first step to make a possible connect, while we do that, we will also look at enhancing our showcase to provide more comprehensive view of possibilities.
What Tech Did we use to build?
The build of our POC contains of three elements
1- Experience Design
We crafted our North Star to reflect for how our applications would look like and provide the life to the idea. This was achieved via the following set of tools:
Adobe XD
Photoshop
Premiere Pro
After Effects
2- Backend Engine and API
We simulated the potential data sources and created entries, which could provide our engine the baseline. We aim to expand this component by bringing in ML pieces for learning and optimal recommendation. The components in backend are developed in java using spring MVC architecture for building RESTful services. We used MYSQL database to store, manage and manipulate data.
3- Front End / UI
The design components were structured on the web pages with HTML (Hypertext Markup Language) and the visual effects, design and styling for the website were achieved with CSS (Cascade Styling Sheets). Activities and functionalities were implemented with Javascript.
Built With
css
html5
java
mysql
photoshop
restful-web-services
spring
Try it out
github.com
xd.adobe.com | Crew Care (Kronos) | A market place for Airlines to elevate the alliance eco-system by driving real operational transformation along with an opportunity for the core to expand to cater to other service offerings | ['Vikram Kalidindi', 'Satyarth Pandey', 'Ashwitha Jathan', 'nikhila dodla'] | [] | ['css', 'html5', 'java', 'mysql', 'photoshop', 'restful-web-services', 'spring'] | 21 |
9,946 | https://devpost.com/software/trekit | Logo
Inspiration
There are many trekking spots in each state of India, which range from 1-7 days of journey and range from hills to the mountains but people are unaware about the different places for trekking and hence there isn’t much awareness to visit them. Currently, all trek discovery platforms are haphazard on google hence as a user I have to visit a couple of websites to look for details and shortlist the place to visit, which consumes a lot of time and effort and ultimately it drains off.
Many people want to go for treks but since they are alone or having less people to hangout with, they end up cancelling the trekking plan. So in this project we plan to make a trek group which consists of people who will be going to the same trek spot, make them collaborate their plan with each other and go for the trek with a new experience. Meeting strangers on weekends and sharing the trip would definitely be a relaxing experience for people who wish to take a break from their busy schedule.
Our main idea is to build an app which gives personalized recommendations for different treks around a person’s Geo location. The general target audience will be
Individuals
Working professionals
Adventurers
Group of friends
Mountaineers
Community people
Family
Basically Anyone who loves trekking
Target segment for Hackathon: Bangalore (Treks around Bangalore)
Features Planned(Scope-Hackathon):
Sign up/ Sign in - Low Effort - P1
My Profile - Low Effort - P1
Listing of different treks around bangalore - Low Effort - P1
Personalised Trek recommendation(with budget and days) - High Effort - P1
Check-in at particular treks - High Effort - P3
Interested Trek Posting and Listing - Medium Effort - P2
Group chat with people going to same trek spot(with chat moderation) - High Effort - P4
SOS(Emergency ambulance/First-aid/General Helpline) - Medium Effort - P5
What it does
TrekiT helps people explore the outdoors with detailed, hand-curated trekking maps as well as trek routes of discovering hidden places around you.
How we built it TBD
Challenges we ran into TBD
Accomplishments that we're proud of TBD
What we learned TBD
What's next for Trekit TBD
Try it out
www.figma.com | TrekiT | Making your trek lively | ['Amit Dandawate', 'Bhaumik Shah', 'Haripriya Baskaran'] | [] | [] | 22 |
9,946 | https://devpost.com/software/operational-remote-identification-of-diseases-covid-19-tfwpqg | Biohazard COVID-19
Decision - enter data: foto, temperature, pressure and etc.
Inspiration
OPERATIONAL REMOTE IDENTIFICATION OF DISEASES
What it does
OPERATIONAL REMOTE IDENTIFICATION OF DISEASES (COVID – 19)
How we built it
IDENTIFICATION OF INFORMATION BY COMPARISON OF STRUCTURED MASSIVES
Challenges we ran into
Rapid remote identification of diseases, collection, processing and analysis of information to ensure timely provision of emergency medical care
Accomplishments that we're proud of
certificate of authorship UA № 91811
What we learned
Patent applications UA а 201908606, u 201908607 Method for analyzing and identifying information
What's next for
Online remote identification of people with fever (COVID – 19)
ANALYSIS AND FORECAST OF THE MARKET
Built With
api
c#
mathlab
python
tensorflow
Try it out
defin.zzz.com.ua | OPERATIONAL REMOTE IDENTIFICATION OF DISEASES (COVID – 19) | OPERATIONAL REMOTE IDENTIFICATION OF DISEASES | ['Kamel Pawelsky', 'Nick Dubovikov'] | [] | ['api', 'c#', 'mathlab', 'python', 'tensorflow'] | 23 |
9,946 | https://devpost.com/software/rework | HHire - Hospitality at Home
Launch screen
Customers select the service they are looking for
.. and are given a list of recommendations of service providers
Service providers will have a verification badge on their profiles through partnership with industry employers
Once they have selected a service provider, the customer can place an order
The service provider then has the choice of accepting or declining the order
After completing the job, the customer can provide a review score for the service provider
Introducing HHire
HHire is a global online marketplace for hospitality and travel industry professionals impacted by COVID-19, empowering individuals with a hospitality based skillset to provide their services on a temporary, freelance basis.
What problems does HHire solve?
The World Travel and Tourism Council projects a global loss of 75 million jobs as a result of COVID-19.
HHire aims to help individuals who have been impacted.
The WTTC estimated that, once the outbreak is under control, it would take up to 10 months for the tourism sector to return to its normal levels.
Customer Value Proposition
Imagine being able to order a professional hotel standard housekeeping service for your home, or a chef to cook a meal to remember for you and your family in the comfort of your own home. HHire aims to bring these opportunities to life whilst providing income opportunities to hospitality industry employees in this time of need.
HHire service providers are also vetted through HHire's partnership with hospitality industry employers, who will be asked to provide a one click reference validation for service providers signing up. References will be displayed as a badge in service provider profile pages within HHire
HHire Services to include:
Housekeeping - professional cleaning at home
Chef - expert cooked meals made in your home
Engineers - Fast jobs in the household (plumbing, electricians etc.)
Concierge services
Yoga and wellness classes for the WFH generation
Spa and Massage services
IT services
Would hotels support this initiative?
Feedback from a hotel owner:
"This is true problem. Many of our staff are working with us for reduced days at the moment until we fully open up again. And we have also furloughed some employees who will resume with us once we open
So I wouldn’t mind putting them on a platform to give them other opportunities since this is a tough time for many of them and get them back on their feet"
Business Model
Phase 1
HHire will operate on a not-for-profit basis for the first 12 months (or longer depending on how long COVID-19 lasts).
HHire will take a small commission to be charged per booking to cover overheads.
The main focus will be on generating temporary income opportunities for hospitality professionals
Phase 2 - Longer Term (Post COVID-19)
To move to a long term sustainable business model, we would seek to leverage our database of talent combined with the data gained through the marketplace during Phase 1 (eg review scores for service providers) to develop a premium B2B tier (HHire+). If we can successfully scale the supply side of the marketplace, we could have one of, if not
the
world's largest talent directory to monetize while truly helping industry professionals that have been retrenched to find a more permanent role if so desired.
We foresee a lot of potential uses cases which could be monetized through selling access to our database.
For example:
Corporations looking for temporary and permanent workers
Event organizers looking for supporting talent
How did we build HHelp?
Unfortunately we lost all contact with our backend developer 24 hours into the hackathon so we shifted focus to build a design level prototype in InVision.
What are we proud of
The idea - coming up with a solution which could really have a positive impact in helping people and pulling together with limited resources to develop this prototype.
What is the next step for your solution and how will you take that step?
Speed to market and getting the supply side of the marketplace ready is critical in order to provide opportunities when people really need support and to ensure the marketplace is an attractive proposition to customers at launch.
To start with, we will select a handful of pilot markets to launch an MVP - markets would be selected based on the state of current government regulations around COVID-19 in each country.
Funding: As a next step, we will seek funding / grants in order to fund the development of HHire and also seek to leverage laid off or furloughed travel industry developers to build it. Sectors to approach: Private sector, tourism bodies, government agencies supporting COVID-19 relief initiatives.
To ensure the supply side is ready, we will seek the widespread support of travel industry HR professionals to get the message out to travel industry employees that HHire is there to provide support to them, and to encourage registrations.
Try it out
projects.invisionapp.com | ReWork (Hhire) | Hhire is an online marketplace for travel industry professionals impacted by COVID-19, empowering individuals to provide their services on a freelance, on-demand basis | ['John Deotrakul', 'Jonathan Ye', 'Adonis Toh'] | [] | [] | 24 |
9,946 | https://devpost.com/software/botel-inxk7r | Whats Next for TravelVivid | TravelVivid | ***TravelVivid*** | [] | [] | [] | 25 |
9,946 | https://devpost.com/software/wanderlinker | Inspiration
As the tourism industry is highly affected by the pandemic, it is time to pivot, redesign, reinvent or up-skill by addressing the new normal of travel which is fundamental to the recovery of the industry. Flights and Hotels are resuming their operations, while tour operators are now more ready than ever to bring their activities online, preparing to capture the surging demand of travelers. It is time to rethink domestic travel as the gateway to recovery on international travel. This due to different travel and safety restrictions kept in place by different countries. Therefore, we had to think of a solution that can create demand and facilitate both domestic and international travel.
What it does
An app to inspire, discover and book everything any destination offers with real-time availability of travel restrictions and safety information while ensuring touchless and contactless after-booking support.
Gamification features like treasure hunt, local operators can set domestic missions that will provide exciting trips to travelers at the same time will keep them safe from containment zones or hotspots. It means that it could be a half day or one day mission to a weekend mission and get rewarded while also the traveler can share the mission link with friends to challenge them to do the mission.
We have the map where travelers can discover thing to do around, get heat map of crowded areas and COVID 19 data of the destinations
Travelers can also get travel restriction information of certain cities and countries that can help them plan their travel upfront and what is required for them to cross the borders.
Travelers can book for flights, hotels, activities and they can avail contactless and touchless post booking services by scanning QR code like check in, room services, order food and drinks from restaurant bars etc
We have the social feature where travelers can connect and chat with peers in the wanderlinker travel community. They can also avail support from wanderlinker chatbot.
How we built it
We used design thinking in developing the solution
Created 2 persona for a post-pandemic domestic and international traveler. From the persona, we discovered that our solution should address 2 themes (health safety and travel experiences)
Developed a business model canvas that could help us identify the value proposition, key resources and partners.
We created the user experience journey and sketch wireframes and mock-ups before writing code.
Started to write code.
Challenges we ran into
Our biggest challenge was to distill the idea from complex to simple. As we are building one solution that addresses 2 themes, it was a very big challenge to understand the key features to address from our first version. As we only have hours to build the product. We needed to be very precise with the solution we want to build.
Difference in tie zones among team members made some participants miss meetings group meetings.
Accomplishments that we're proud of
Team building is one of the greatest accomplishment we have had. The team is made up of developers, designer and business enthusiast. This has made us get along and work together easily.
What we learned
Team diversity can help build global solution. By bringing together the understanding of travel industries in Europe, Asia and Africa.
What's next for WanderLinker
We want to be one of the successful startups born during a global crisis.
Built With
git
java
maven
postgresql
restapi
springboot
Try it out
github.com
xd.adobe.com | WanderLinker | An app to inspire, discover and book everything any destination offers with real-time availability of travel restrictions and safety information, while ensuring contactless after-booking support. | ['Rié K.', 'Steffen L.', 'Geoffrey Nwachukwu', 'Farrukh Karimov', 'Elvis Silayo', 'Amit Dandawate'] | [] | ['git', 'java', 'maven', 'postgresql', 'restapi', 'springboot'] | 26 |
9,946 | https://devpost.com/software/whathappensnext | Inspiration
In every trip I am looking to meet new friends and spend less time to wait.
Every time I guess what happens next? :)
What it does
A web app to play with others in a travel group while waiting your airplane, bus, transfer, queue in a hotel or museum.
Tourists can play in the game of guess ,what will happens next in their trip, ie. next location, how long they will wait, what is the number of their room, or anything else.
The mission to transform the waiting time into the playful time.
Anytime, tour guides can add extra points in the trip in order to make it random.
Local businesses can add extra point or question in the trip to get traveller's attention.
By answering on questions, travellers will earn virtual coins and be able to spend them on unique personal recommendations, discount in local shops or even meet new friend.
How a tourist get the website?
1 - a tourguide offers user to go the website via QR code
2 - user finds link in a tour-operator website
How a tour guide participates in this platform?
He presents the app to travellers, he is able to add new places and fun questions at any time in the trip
How a tour-operator can participates?
They add the tour route in the admin panel and provide necessary information for travellers .
There is a small yearly fee to participate for tour operators.
How a local business participates in the plaftorm?
They add the geolocation of business and write an attractive question in order to get travellers attention and add hashtags to match it with particular travellers interests.
The local business pays a small fee (for example 5%) to the tour operator after bookings have been made.
Benefits for all parties:
Local business
- to get new customers + to increase brand awareness + to generate revenue
tour-operators
- to add value for their service + to get money from local business + to increase brand awareness
tourguides
- to increased know how about local activities, less time needed for explanations + to offer enhanced user experience
tourists
- exciting and innovative way of getting to know the surroundings and activities nearby.
Playful way of creating their individual itinerary and the option to collect coins and receive perks from local providers, after questions have been answered correctly. to get new experience (ask question directly,play)
How I built it
There could be application of AI & ML in the way questions are packaged social media.
Initial thought is to make it something that has a responsive UI that is compatible with web and mobile devises
Challenges I ran into
Shooting video was very important and very difficult too.
And manage a team was a challenge as well
Accomplishments that I'm proud of
To make it on the time!
What I learned
A lot about travel industry in general because of such great mentors Monika and Zsuzsanna! :)
What's next for WhatHappensNext
Validate the concept & assumptions prior to building a solution.
MVP:The initial focus will be on creation of one route with interesting questions and the gamification of whole process.
Youtube link -
https://youtu.be/uN8ybsIXGvM
Website link - secure.stayandsmile.com
Code here -
https://github.com/znack2/_locations-recommender-api
+
https://github.com/AndreySukhov/advpoto.git
Built With
instagram
node.js
php
python
react
Try it out
secure.stayandsmile.com | WhatHappensNext | A travel game for tour operators to collaborate with local businesses | ['Antony Minkowski', 'Андрей Сухов', 'Igor Fliginskikh', 'Alyona Kanina', 'Марк Хуббатулин'] | [] | ['instagram', 'node.js', 'php', 'python', 'react'] | 27 |
9,946 | https://devpost.com/software/pie-rooms-contactless-private-restaurant-in-a-private-room | Inspiration
No Safety in open Restaurant: Post covid-19, people will be more concerned about safety & it will become huge when they will have to go to an open restaurant to have their dine-in experience where they will have to touch menus, interact with other people, will sit in the used couch, will be near to other people, do the billing in the counter & will have to interact with others also no idea about how the food in prepared inside the kitchen.
No Private space to enjoy: Most of the time Travellers or general people wanted to get a place where they can freely enjoy or chill-out for few hours with full privacy. When people generally got stuck in a city & have some free tiem to spare.
Judgement Issue: Mostly couples,party goers or even families get judged/stared by other people in an open restaurant, which creates an discomforting/embarrassing moment for the people who are being stared. This simply spoils the mood to enjoy.
What it does
It provides a private space in a hotel/guest house to couples,party goers & families to have their dine-in experience, food, some fun & us time together with zero disturbance or interaction with others with complete privacy,& a single centralised kitchen in the same building to serve in those rooms.
they need our solution because
They need to get private dine-in experience with their loved ones.
For Group party, birthday parties etc.
For lunch/dinner Date
For Gossiping & spending time together.
Chillout
Safety & enjoyment in corona times
How we built it
We built a Web app with the help of various frame works. We used ionic for frontend. Ruby & rail for backend. We used mysql for database support.
We deployed the frontend in firebase & backend in heroku.
Challenges I ran into
Finding a good team to make our video & software.
Restructuring of the plan.
Lack of good internet connection
Got to add too many things in the website in a limited time.
Had to remove a lot of bug from the website.
Accomplishments that I'm proud of
1.We successfully completed our task in such a less time.
2.Got an amazing hard working team to work with in future.
3.We are proud of coming up with an idea which has the potential to change the world
4.We are proud of creating a service which can restore hospitality industry with more customer satisfaction.
What I learned
Team work is necessary if you want to create something amazing.
Working with calm minded in rush or hurry situations can really help in good thinking, executing & managing the team.
Creating value in a business is the key to success.
Always focus on the big goals you want to achieve. It really helps in keeping you focused.
Accomplish more in less time.
What's next for Pie Rooms:Contactless Private restaurant in a Private Room
We are going to implement it in some properties by modifying them. After that we are going to test our different assumption by taking customers review & will do some modifications if necessary. Now that we tested the product & customers liked it, we will expand our branches in multiple cities with some external funding.
Built With
heroku
ionic
mysql
ruby-on-rails
Try it out
piehotelodisha.firebaseapp.com | Pie Rooms | Contactless Private Restaurant in a Private Room | ['Sourav Prajapati', 'Rishab kumar shah'] | [] | ['heroku', 'ionic', 'mysql', 'ruby-on-rails'] | 28 |
9,946 | https://devpost.com/software/gaas-frdtvx | Inspiration
With the ongoing coronavirus outbreak impacting organisations all over the world, duty of care obligation has never been more important to corporate world. While Touchless payments and booking are novel, it did not help to prevent the pandemic in countries where these solutions are implemented. Social-distancing and Social-bubble are identified as the most effective way for flattering the curve.
On the other hand, the world has decided to reopen the the economy and instead focus on saving the the risky groups e.g long-term care, and limiting the size of the public gatherings. For example, according to United States Tour Operators Association, 79% of members say their marketing message will change with an emphasis on health and safety, and a focus on the advantages of small group/ship size.
Our goal is to help travel management and tour operation companies to create digital social bubble with low-cost and easy to deploy solutions that guarantees the economic growth .
The Challenges that we want to address is Hygiene and Health.
Your solution and what it does
GAAS solves a new pain points for travel companies and business travelers; how to create smart
social bubble
.
GAAS asses travelers situation and behaviors to see how vulnerable they are to the pandemic situation and how risky they are to others. Then it uses this data to put the traveler into one of the 4 pre-defined profiles:
+1) It can be used by Travel Management Companies to assess "Duty of Care" to mitigate the risk for business travels.
+2) Multinational corporation can use it to profile their employees and lift-up the travel ban for their low-risk employees.
+3) It helps insurance companies to come to an acceptable transparency about the liability based on risk profile.
+4) Tour Operators can use it to take proportional precaution, and recommend appropriate tour packages to their customers.
How did you build it?
The prototype is built as ad add-on to QTSurvey, and LimeSurvey (from GUI)
What are you proud of?
+1) Solving a pain point that exist in both business and leisure travel market.
+2) Low-cost, effective and easy to deploy
+3) Customizable and salable based on traveler's source and destination.
What is next step for your solution and how will you take that step?
The only complication with this solution is that data collection should be based on Health Information Protect Act (HIPA). The next step is to develop the complete solution based on HIPA standards.
Optional for deisgners - What tech did you use to build it? (e.g., APIs, tools, other relavent details)
The prototype is built as ad add-on to QTSurvey AND LimeSurvey From UI
https://github.com/LimeSurvey/LimeSurvey
Links to test the solution (e.g., Github, Website, App, adobe)
NA | GAAS | We bring the novel concepts from the Tech world to travel industry to guarantee social distancing for travelers and job safety for employers. | [] | [] | [] | 29 |
9,946 | https://devpost.com/software/abroad-entry | Abroad Entry aims to digitize the international travel entry process. We aim to ensure the hygiene and health of international travelers and those who interact with them through a digital, contactless customs entry form. We hope to enable a more digitized, encrypted platform to make the traveler entry experience more efficient and convenient and ensures data privacy.
Current Problems
Paper forms require contact with crew, travelers, and customs, risking illness among all parties
Flight crew must physically pass out and interact with every passenger for an additional time.
International travelers share pens and sometimes, help each other translate customs forms.
Customs officials must interact with paper copies of entry forms of potentially sick travelers.
Customs struggles to enforce travel bans and open travel to all healthy passengers
Customs officials are unable to verify the previous travel and medical history of travelers, some of who are taking route shortcuts to surpass quarantine requirements. For example, Reuters reported that some Russian travelers were bypassing travel bans by returning back through Belarus:
https://skift.com/2020/06/10/russians-jump-border-into-belarus-to-bypass-coronavirus-travel-ban/
.
Instead of implementing nation-based travel bans, governments can still open countries to tourists from all nations if individual travelers can confirm their previous travel and medical histories.
Customs officials have challenges communicating the COVID-19 safety procedures to international travelers who do not speak their native language
Customs needs a digital way to produce and articulate constantly changing safety guidelines to non-native speaking travelers.
Lack of visibility of density of customs queue, risking safety of passengers at customs clearance terminals
There is no visibility of the current customs clearance line, leading travelers to risk waiting in line with massive crowds. For example, when the U.S. imposed their travel ban on Europe, pictures of various international airports showed massive, long lines with little to no social distancing.
Our current technical solution
A digital website of contactless international travel form that asks for standard travel questions and medical information. It includes localization to translate the form from a desired language and encrypts the medical data that the users provide.
What Tech Did We Use to Build It
Our technical solution front end used React, Bulma, and HTML/CSS. Our backend included Javascript and local API calls. We also attempted to encrypted the entered medical using CryptoJS.
We also attempted to connect a database with MongoDB.
Our Design Approach
We used UX/UI inspiration sites such as Behance and Dribbble, and asked mentors on travel websites and apps that are visually appealing to them, to find inspiration for designs in the process. We then picked our top designs and created mood boards on Milanote and a style guide to track our inspirations and remain consistent.
We coded the front-end of our current technical solution with HTML/CSS and the Bulma framework. We created a pitch deck and Adobe XD designs for ideas for future implementations.
What are We Proud of
Jennifer learned how to use Bulma and found it more efficient and easy to use than Bootstrap. Edward learned about encryption and that the encryption works!
Implementation Challenges
We asked our mentors to provide feedback on the following:
1) How do we ensure traveler privacy through the app?
2) How will a traveler download the app while they are on the plane?
3) If the app is included as part of the plane entertainment system, how do plane entertainment systems work?
4) How do we make the app user friendly with those with disabilities, who already have challenges using the entertainment system, their phone?
Our Next Steps
User Research
We would like to conduct more user research to validate our frontend using user research platforms such as Respondent.io. We want to explore different ways to access the website for users who do not have a mobile phone (ex. kiosk, plane entertainment system) and for users who do not pay as much attention on the flight (ex. show the form code in the flight details at the entertainment system, show the code at the gate upon boarding).
Partnerships
Once we validate our design, in order to implement the project, we would need to identify airlines partners and customs border patrol agencies that would either the implement the existing project or have us help them build their own version. We would benefit from joining an accelerator and professional organizations related to travel technology, government technology, and airlines professionals.
Additional Features
We would like to acquire credits for Google Translate or another translation API to enable translation for all languages. As part of our product, we could also partner with a translation API company to create an API specifically tailored to customs clearance and entry translation solutions.
We were unable to find any customs border patrol agencies that provided density data of their queues and did not have time to do research on how they coordinate with airlines to off board passengers for safe social distancing. In the future, we would like to conduct more research on the off-boarding process and partner with people counting platforms such as
Density.io
and
Trafsys
to install people counters in doors and hallways of gates and terminals to ensure safe off-boarding and queueing.
Built With
bulma
css
html
javascript
react
Try it out
docs.google.com
github.com
app.milanote.com
xd.adobe.com | Abroad Entry | Digitizing international travel entry | ['Jennifer Tran', 'Edward Chang'] | [] | ['bulma', 'css', 'html', 'javascript', 'react'] | 30 |
9,946 | https://devpost.com/software/treasure-hunt-v7k56l | Whats your next mission?
Inspiration
I am someone who like to play treasure hunt as well as create treasure hunt games with clues for others to explore. Escape rooms & amazing race are other source of inspiration.
What it does
Today we are in a world where people are worried about stepping out of their homes due to Covid 19. Apart for essential needs people are mostly staying indoors and slashing discretionary spending.
How can we help people take baby steps in way that people would find confidence, trust, safety in any business or pleasure travel.
How can we help reboot entrepreneurs and small local business to earn so that they can survive and thrive socially and economically by promoting responsible tourism.
There could be many ways to address the above mentioned problem but the path that we decided to explore is a mission based exploration and learning platform that connects virtual and real world adventurer(s) through intellectually stimulating missions set by an ecosystem that unlocks treasures & trade.
Presenting Treasurehuntz (aka TH)
Treasurehuntz is a concept where customers can purchase missions through which they can explore and learn about new places, things, culture, domains & many more through solving puzzles & riddles at the same time bond as a team or get to know more about each other and network. This will be an opportunity to go and explore some of the unique & not so crowded location safely as well as online.
This mission can be set for domestic, regional as well as international travel. The initial focus will be on domestic mission that will provide exciting trips to travelers at the same time will keep them safe from containment zones or hotspots. It means that it could be a half day or one day mission to a weekend mission to start with as we expect the domestic / local travel to happen first than regional / international travel as a confidence building measure. Factors such as Time, Budget, Comfort, Mood, Motivation, difficulty levels of the mission will influence customers preference.
Treasurehuntz will be a platform that will enable locals, enthusiasts, professionals to create treasure missions to solve that can be purchased by customers as they decide to make plans on how they want to spend their time, in a more meaningful way.Each mission will be priced. This will help local business and entrepreneurs to earn a living at the same time promote some of the not so famous places in their locality that are safe to be explored in a responsible way.
Based on the mission that is purchased, Treasurehuntz will show the customers potential travel, accommodation, food arrangements and events that are near your mission is. Treasurehuntz will also connect travelers to local police, health care institutions, consulate and government advisories for awareness & or any SOS needs.
TH mission will also have some prizes/food coupons/discounts/travel tickets/accommodation vouchers etc for the travelers to realize a sense of accomplishment at the end of mission based on time taken to complete the mission and other factors. These prizes will help trigger demand for downstream travel and tourism value chain.
TH will trigger demand for mobility in a safe way that can generate lead for rest of travel and tourism ecosystem and beyond.
TH will also ensure that not many teams are purchasing the same guided offline mission to ensure that we are managing the traffic and help travelers follow social distancing norms. So that travelers can be sure of trust and safety for them as well as their loved ones and the community as a whole.
TH can also address the corporate segment for their teams that are working virtually or in a office to come together and solve missions as an activity or even compete as teams. Even business travelers can take advantage of TH for them to de-stress.
TH will have multiple revenue streams primarily coming through commissions / fees / subscriptions as well as selling TH missions to corporates.
TH will help travelers to go and get some fresh air and rejuvenate self and your loved ones in a safe way.
TH will help connect people for missions that are focused on themes & causes such as (sustainability, environmental e.g tree plantation etc) that gives a sense of accomplishment on serving a purpose to the community by being on Treasurehuntz.
How I built it
Through google suite.
There could be application of AI & ML in the way mission questions are packaged.
Social media.
Initial thought is to make it something that has a responsive UI that is compatible with web and mobile devises followed by mobile app.
Challenges I ran into
I came in to Hackathon as a mentor but due to some last minute changes in the team, i decided to take the idea forward. Its a one man army during the hackathon. Cant thank my mentor Fred enough for all the support that he extented.
Accomplishments that I'm proud of
One man army powering all of this so far !!! A hustler, not a coder
Ability to create a earning for Entrepreneurs
Ability for customers to venture out safely
Ability for customers to stay connected online
Ability to network & be a channel of engagement
Helping small businesses come online & giving back to community
Nudge demand for others in the value chain
Got access to a huge network of awesome people
What I learned
Be the change that you wish you see in the world.
Give your best and build on your strengths.
it was a happening weekend for me personally. Learned a lot.
What's next for Treasure Hunt
Validate / invalidate the concept & assumptions prior to building a full fledged solution.
MVP:The initial focus will be online & guided offline domestic mission that are shorter in nature (couple of hours a day to weekend) and less complex that will provide exciting experience to users at the same time will keep them safe from containment zones or hotspots. It means that it could be a half day or one day mission to a weekend mission to start with for locations that open and are not under strict lock down.
Please find more about Treasurehuntz in attached pdf and short video.
Built With
google-maps | Treasurehuntz | A mission based crossover of Travel & Education !!! | ['Vinod Subramanian'] | [] | ['google-maps'] | 31 |
9,946 | https://devpost.com/software/automate-the-travel-experience | Inspiration
Due to the COVID-19 Pandemic, the stocks of airlines have dropped by over 35%. There is potential for 75 million jobs and 2.1 trillion dollars to be lost. The travel industry is one of the most useful and necessary fields - everyone utilizes it. Through travel, we get to experience the world and gain unforgettable memories. The travel industry needs to get back on its feet, and fast.
Pandemic or no pandemic, one of the biggest issues with travel is booking. Around a year ago, I planned a family trip to the Scottish Highlands. It took me an incredibly long time to evaluate the best options and prices for different activities (separately and then together); even then, I always missed something. While our trip was incredible, it took a lot of planning on my part. Using AutoVoyage, effective trip planning, in general, is simple and neat.
In the near future, people will be quite nervous about booking flights and vacations post-pandemic. There are few intuitive and reliable products that are able to verify how safe an airplane is, or a vacation to a certain area is. While also serving to simplify bookings, AutoVoyage ensures safety when traveling, thus reassuring potential travelers, helping them enjoy a wonderful and stress-free vacation, and boosting the industry.
What it does
One of the features of this web app is the ticket checker. Users can enter the basic details of their ticket and our machine learning & data modeling algorithm will evaluate the ticket based on factors such as annual traffic, cleanliness, Food, onboard service, and others. If our ticket is not deemed good by our algorithm, our web scraping application will scrape the internet and look for better ticket options based on your needs. All of our analysis is backed with datasets from sources such as Johns Hopkins University.
Another feature of this web app is the automated vacation planner. Users can enter the basic details of what kind of vacation they are looking to plan and our algorithm will open windows with potential options for your vacation. We have a web scraper that scrapes the web and looks for vacations that meet the current standard of hygiene that is required for vacations post-pandemic.
How I built it
Login System
I used flask as the basis for my server system and used python to communicate with ajax requests that were transferring the data from the signup and login form
I also the MySQL database which communicated with the flask backend to keep track of all users signed up and all users logged in
I used HTML, CSS, and Javascript to create the login and ajax to communicate with the front and backend
Metric for Evaluating Users Ticket
First, I came up with some factors that I wanted to evaluate tickets upon. These included annual airport traffic, number of total coronavirus cases, deaths, and recoveries in the area of airport, sanitation and customer service rates, average traffic and delays, as well as food and convenience.
I gathered datasets from reliable resources such as JohnsHopkins University and Kaggle that had data on the factors that I was looking for.
I used the Pandas and NumPy modules to scan and compute the scores for some of the world’s airports. In order to render this data on the webpage, I used the Plotly and Chart_Studio modules.
Ticket Checker
With the Pandas module, I read the datasets and put them in the best format for analysis. I stored the data I wanted to use for evaluation in NumPy arrays and then used those arrays to render the graph using Plotly and chart_studio.
The Numpy and Pandas modules were also used to evaluate the user’s ticket and determine if it was a good purchase.
In order to calculate how much time the airport round trip will make, I used the Geopy and GeoPandas modules.
In order to scrape the internet and choose the best option for the customer, I used the Selenium, BeautifulSoup, and Chrome WebDriver modules
Vacation Planner
I used Selenium, BeautifulSoup, and Chrome WebDriver to read the user input and scrape the internet for options.
With a Flask backend system, I was able to process the requests from the user in the most intuitive way. Selenium
ActionChains were helpful for advanced scraping features that helped process the user's customized inputs regarding their trip.
In addition, I utilized Selenium ExceptedConditions to fine-tune my algorithm and ensure that the bot does not search and scrape websites prematurely (it will not return any information from a loading page)
Forum
I used the SocketIO and Flask modules in python to create an environment in which multiple users can communicate with each other
I used socket.js as the middleman to communicate between the user input from the HTML and the python backend processing the requests
I used HTML, CSS, and javascript to build the GUI.
Challenges I ran into
While the Forum was not a major element of my website, I struggled a bit with integrating it. At first, the message box and input area were on another “page”, a page below the original screen. This made it so that messages could not be viewed without scrolling very far down. The messages never took up the page, but rather a piece below it. Each message simply moved that area down. Testing various elements, I first changed the percentage height of the area above the messaging box. That was a temporary fix; new messages still pushed the box down and out of the page. After analyzing my code, I figured that the message div was forcing the message box out of the way. I put them into the same div and moved the message box below the messages to create a more orderly and functional system. I also changed the screen percentage to change the height of the input box.
When I was creating the login system using Flask, I faced trouble integrating the Flask code with the SQL database; I had never used this database system before. In order to improve my understanding of integrating Flask to create a login system, I first read the MySQL documentation and was able to understand how to look at my database in the command line as well as using the MySQL workbench interface. After reading the documentation, I figured out the errors: integration with Flask and the forms as well as an incorrectly configured SQL installation. I was able to fix the issue with my form and Flask by reading up how to use ajax commands, after which I formatted my query properly. In order to fix the integration with Flask and the database, uninstalled the MySQL database system and then reconfiguring my setup to make the MySQL system discoverable on my computer.
When I first started creating the web scraping algorithm, I was unsure how to use Selenium and the Chrome web driver correctly. After taking a quick crash course on the basics, I tried implementing those concepts and found that those concepts were not very helpful. With my limited understanding of web scraping at the time, I decided to read the Selenium documentation to get a better understanding of some of the advanced concepts. After reading the documentation for 35 minutes, I stumbled upon ActionChains and ExpectedConditions in Selenium, and I realized that I could implement these concepts to get my algorithm to work. In the end, I ended using ActionChains and ExpectedConditions to perfect my search algorithm.
Accomplishments that I'm proud of
Before I began this hackathon, I was not knowledgeable about the technologies I am now familiar with, technologies used to build this product. I am truly grateful to Travel Scrum because I have picked up many new skills over this hackathon period.
Based on my research, there are very few reliable websites dedicated to analyzing travel and providing customized options.
I also had never used the flask python framework and MySQL database before starting to work on my project. This hackathon helped me get comfortable with learning new frameworks in a short time frame and pushed to my limits at some points, including when I stayed up until 5 am on Saturday to finish the final feature!
After taking some suggestions from a friend, I learned how to use CSS Grids in order to style my forms in a simple, organized grid to utilize horizontal page space; I am proud of my styling because it is another skill I have refined and developed during this hackathon.
What I learned
While I have a bit of coding experience, I lack any in the area of AI and machine learning. However, I was able to learn this over the four days of this hackathon using various courses and tutorials. With this new knowledge (plus CSS and HTML knowledge), I created this project!
During this project, I learned how to make components of an application that have an aesthetically pleasing user interface and experience. I learned about CSS Grids, and how to choose and follow a certain color scheme. I also learned about CSS and Javascript animations, which I used on the homepage and forms.
I have also picked up many skills in debugging. Because I used software I was unfamiliar with for this project, such as Flask, I faced various issues. I learned to write neat code, code in which problems could easily be identified and fixed. I practiced conceptualizing an issue, breaking it down, and testing various elements in order to solve it.
Due to the longer length of this hackathon, I was really able to grow my coding skills and gain intuition as to how code is really implemented and what is really happening behind the scenes.
What's next for Automate the Travel Experience
My web application only scrapes the surface - there is so much potential to a travel software due to the large amount of busy, manual work that booking entails.
Here's What's Next:
I will implement a convolutional neural network in order to analyze the data more effectively. The convolutional neural network will allow my algorithm to learn from itself and improve overtime as well as decrease the amount of time it takes to run.
I will create a page for struggling small, private companies to advertise themselves and gain business. Due to COVID, travel has been hindered and many local people who relied on a travel-based job, perhaps as a translator or guide, have run out of business. They can find hope for their businesses with this element.
Using an API or by creating our own scraping service, we will scrape for coupon codes for various bookings, thus allowing a user to plan an economic trip easily.
I will give each user multiple plan options that fit more of their criteria and allow for more customization. Each plan will weigh many factors including connecting flights or budgets. The plan result will be formatted slightly differently, creating various trip timelines with links to various bookings and trip plans. I may also break down the forms a bit more for more specific results.
For every use of my application, (plane ticket checks, or vacation planning) the user will be charged $3. All money will go to struggling travel companies.
Built With
ajax
beautiful-soup
brython
chart.js
chromewebdriver
covid-19-api
css3
data-analysis
data-modeling
datasets
datetime
fbprophet
flask
folium
geopandas
geopy
git-bash
html5
javascript
jninja
jquery
machine-learning
matplotlib
mysql
numpy
pandas
php
plotly
pystan
python
seaborn
selenium
socket.io
sqlite
vanillajs
werkzeug
Try it out
github.com
autovoyage.site | AutoVoyage | This web app will allow users to enter information regarding a vacation they would like to plan and the algorithm will scrape the web and generate a vacation plan. | ['Tanish Tyagi'] | [] | ['ajax', 'beautiful-soup', 'brython', 'chart.js', 'chromewebdriver', 'covid-19-api', 'css3', 'data-analysis', 'data-modeling', 'datasets', 'datetime', 'fbprophet', 'flask', 'folium', 'geopandas', 'geopy', 'git-bash', 'html5', 'javascript', 'jninja', 'jquery', 'machine-learning', 'matplotlib', 'mysql', 'numpy', 'pandas', 'php', 'plotly', 'pystan', 'python', 'seaborn', 'selenium', 'socket.io', 'sqlite', 'vanillajs', 'werkzeug'] | 32 |
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