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10,312 | https://devpost.com/software/sec-channel | Sec-Channel
A simple solution to integrate performant, and strong symmetric end-to-end encryption seamlessly into your application.
An Auth0 Hackathon submission by team "Princes of the Universe".
Motivation
Every one knows the feeling of wanting to use end to end encryption, but don't know how to really start.
You have doubts if the load balancer of your cloud provider has been compromised?
Is someone passively listening on your traffic?
Introduction
Sec-Channel is aiming to make end-to-end encryption easy and with a very low setup time, permitting you, the Client developer, to focus on the main business of your application without having to worry having the security aspects.
It is based on two parts :
the Proxy (back-end server)
the SDK (conveniently build on one of the most used http clients, OkHttp)
The SDK will register the device/app it is running on with the Proxy server. This registration process ends with a symmetric Key exchange so that communication between both parties can be encrypted.
Any HTTP traffic emitted by the application using the SDK will be encrypted and routed to the secure Proxy server.
The Proxy will route those HTTP requests to their intended destination and send the response back to the Client, encrypted.
The Client can then decrypt that response and seamlessly continue its process.
Built With
aes
auth0
bouncy-castle
java
jwe
mysql
openid
rsa
spring
Try it out
github.com | Sec-Channel | A simple solution to integrate performant, and strong symmetric end-to-end encryption seamlessly into your application. | ['Thomas Schalldach', 'Victor Schaaf'] | ['Grand Prize - Security'] | ['aes', 'auth0', 'bouncy-castle', 'java', 'jwe', 'mysql', 'openid', 'rsa', 'spring'] | 1 |
10,312 | https://devpost.com/software/debater | Profile to track improvements
A timeboxed debate between two people
Peer review to help other Debater fellows grow
Inspiration
In the age of information explosion, we have little time and patience to think critically.
Thanks to the powerful algorithms behind social media platforms, we are shown more information and views that we
want
to see.
With the aid of technologies, everyone can share their views and opinions faster and further.
However, the society is lacking inclusive platforms for constructive and meaningful debates on important topics, leaving those who prefer quiet private discussions behind.
What it does
Debater is a mobile application that facilitates focused and constructive debates.
It works like this:
You log in to the Debater app
The Home screen shows quality resources to inspire users to improve their skills
You are encouraged to invite your friends and family to join the Debater app.
You can launch a debate session by choosing an opponent to play with.
You get assigned either proposition or opposition randomly to stretch yourself to look at things from different perspectives.
The default game setting has 3 rounds of arguments and 3 rounds of rebuttal timeboxed within 9 minutes, ensuring you stay focused throughout.
You can earn points and track performance based on peer review.
How we built it
Mobile application (IOS, Android): React Native
Backend: Node.js, Typescript, MongoDB
Tools: Auth0 (jwt tokens), AWS, MongoDB Atlas
Website: Wix
Wireframes: Figma
Accomplishments that we're proud of
Built a functioning MVP during the weekend
Built a Product Landing Page
What we learned
Learnt about how to use Auth0 to authenticate a user
Understood the market of debates further
What's next for Debater
Tech development: build the peer review stage
Buz development: reach out to education institutes and debate clubs/competitions, collect user feedback
Built With
altas
amazon-web-services
auth0
figma
mongodb
node.js
react-native
typescript
wix
Try it out
github.com | Debater | Enjoy constructive, meaningful debates again | ['Monique Ho', 'Andrei Sukharev', 'Vera Aleeva'] | ['Grand Prize - Connectivity'] | ['altas', 'amazon-web-services', 'auth0', 'figma', 'mongodb', 'node.js', 'react-native', 'typescript', 'wix'] | 2 |
10,312 | https://devpost.com/software/recal | Qr code generated by Admin linked to data on the server
Admin App log in
Admin Dashboard showing current user stat
Admin App Splash Screen
Current logo
Inspiration
The additional level of pollution on beaches and local environment due to disposable masks which at times could be infected. In some of the less economically developed countries, some even started reselling used masks picked up in random locations putting everyone else at risk.
What it does
Our application has two parts
1) The admin app
-Institutions register for the service if they give out disposable masks to their students or employees and they get an admin portal that allows them to see stats for collected masks and masks returned for safe disposal
-When clients are collecting masks, the institution will use the portal to generate a one time use qr code that the user scans and their account information gets updated to show they completed a collection
-When clients return masks, the institutions carries out a similar procedure to the above but this time the qr code generated will be specific for returning masks, After scanning this code, the client will get their profile updated and they will also get points added which they can redeem later
2)The client application
-Users signup using their preferred method from the options offer on the Auth0 authentication page and they become members
-The clients will just have to scan a qr code when they are collecting or returning masks for them to earn points that they will redeem later for services at any of the businesses that partner with us
How I built it
Out team had four members all working on different sections of the project so we divided roles into back-end, mobile, admin and UI/UX development
-For the server, our team used Express, Node.js and MongoDB to create a rest api which also will also ideally incorporate the use of Socket.io to carry out faster and real time updates
-For the admin portal and dashboard, we used Gatsby and React then hosted is on Vercel
-Our mobile app is built using the Ionic framework with the intention of making it a cross-platform application
Challenges I ran into
-The biggest challenge was having everyone on the team learning new technologies in a remote environment so it would take time to figure out how that specific technology will be used by multiple parts of the application without conflict for example using Auth0 for authentication on the application front-end and back-end
Accomplishments that I'm proud of
-The first accomplishment was coming up with an idea we all agreed on as a team early enough into the hackathon so we didn't have to waste significant time brainstorming
What I learned
-The whole team learned how to collaborate effectively by creating a clear plan for the project from the first day and quickly identifying key areas of strength and focusing on those areas throughout the project for each member
What's next for Recal
After the current application's completion, we plan on getting our first batch of sponsors for rewards and institutions that would like to try out the collection and return system for their college campuses
We plan on taking Recal beyond just collecting and returning face masks, the next step will be allowing institutions to keep track of different products at the same time and also include the option of creating custom rewards
Built With
auth0
gatsby
heroku
ionic
mongodb
mongoose
node.js
react
socket.io
vercel
Try it out
gatsby-auth0-redux.vercel.app
github.com
drive.google.com | Recal | An app that rewards you for safe disposal of used masks | ['Swapnil Madhavi', 'Daniel Santos', 'Sandesh Chinchole', 'Shammah Matasva'] | ['Runner Up - Addressing after effects'] | ['auth0', 'gatsby', 'heroku', 'ionic', 'mongodb', 'mongoose', 'node.js', 'react', 'socket.io', 'vercel'] | 3 |
10,312 | https://devpost.com/software/facepass-abh1zy | Demo Page
Signup Page
FFA Authentication page
Inspiration
Covid-19 crisis caused inconveniences in probably every aspect of our lives, and I think the
one thing it led to the most globally
was people working from home. And with that came the headache of ensuring enterprise data was safe. Immediately, firms shifted to multitude of existing security methods like 2FA via SMS or Emails, but having to wait for OTPs and to find your phone again and again at home was becoming troublesome, so we found a better solution!
What it does
Our tech provides a quick framework for developers to add facial recognition based Two factor authentication to their apps in under 5 minutes! All they have to do is copy and paste our custom rule!
The idea is that just like Auth0 makes it easy for developers to get started with authentication and identity management, we wanted to provide a method (sort of an SDK built atop Auth0's features) that can allow any developer using Auth0 to quickly add what we call FFA (Face Factor Authentication) to their products!
How we built it
We built this product using a combination of hooks and rules to extend the functionality of Auth0's authentication systems.
Once the user signup is complete, they are redirected to a URL which allows them to setup their FFA for the first time by clicking a still image and processing it with the powerful Azure's Cognitive Services Face API.
Whenever next the user wishes to login into their app, they are redirected to a login page where they can verify their identity using another webcam snapshot, and if the person matches (Face Verification is also performed using Azure Face API), the login is authenticated, otherwise Auth0 never completes the login.
Tech used -
Flask for backend
Azure Cognitive Services Face API
Auth0 simple login
Challenges we ran into
Working with hooks and rules was a big challenge but with Auth0 documentation we were able overcome it and make the process look seamless.
Accomplishments that we're proud of
We're proud to make this work with technology as complex as Facial Recognition and make it so easy for developers to integrate it with their own authentication systems.
What we learned
We learned how to integrate Auth0 with Facial Recognition by making the use of rules and hooks.
What's next for FacePass
FacePass is just getting started, and we have tons of things in mind for it going forward.
The most important aspect that we want to add on, but weren't able to, is liveliness detection. We understand the security risks that come with Facial Recognition, and believe that Liveliness detection is an absolute part of any security addition using Facial Recognition technologies. Surprisingly, this will be extremely easy to build using Azure's head pose detection, and considering it's part of the same Face API, it will add minimum overhead in the computation.
Built With
auth0
azure
mongodb | FacePass | A quick plugin that can be coupled with Auth0's simple identity management and authentication to provide Two Factor Authentication based on Facial Recognition. | ['Anshuman Agarwal'] | ['Runner Up - Security'] | ['auth0', 'azure', 'mongodb'] | 4 |
10,312 | https://devpost.com/software/house-of-curiosity | Feeds
Publishing a planned Seminar and choosing a time
User Profile Page(left side: seminars that he is hosting; right side: his info)
Seminars with new seminars added.(Myth of Sheogorath and Lores of Miraak Seminars)
Seminar page display
Inspiration
Many people have crazy ideas that they wanted to share with their community. Yet due to Covid-19, there isn't much gathering now. This is what inspired us to develop this app- an application that allows people to post keynote seminars schedules to other members of their community. The name is "house of curiosity", which means that this web application allows geeks, history buffs, musicians, and literally anyone to share their interesting and fascinating discoveries and ideas with the community.
What it does
Users can register to become a seminar host, and after that, they are free to post schedules of their upcoming seminars, speech, or anything interesting! After published, it will be send into other user's front page feed. This way users will be notified the next time they logon to the website. If the other user finds your posted seminar interesting, they could sign up and attend it at the scheduled seminar time! Each seminar has its own page which contains the date of the seminar, the means of accessing it(Zoom ID, Google meet id, etc), and the information about the teacher. Every teacher has their customizable profile page, which includes their name, their description, and their hobbies/specialties(displayed as tags).
How I built it
I built the backend with node.js and express in MVC pattern. I used mongoose to access the database. When user sign up, a new mongoose document will be added. And later on if they also submit the form for teacher profile, a mongoose document in the teacher collection will be added and it will have a reference to the User document in the User collection. Similarly, new seminars schedules being posted will also have a reference to the teacher document and given any seminar, you can find its teacher.
For UI design, I first designed every UI in figma, and then coded them in HTML and CSS with Bootstrap.
Challenges I ran into
I had to constantly test my mongoose in case that something unexpected would happen. The data association part (connecting a seminar with a teacher document, and a teacher document with a user document) caused a lots of distress but I managed to solve them(eventually :P)
Accomplishments that I'm proud of
I implemented a salt hashing based password storage system with bCrypt and I implemented a JWT system as well. I also designed the UI, which, in my opinion, looks fine :p .
What I learned
A lots of crude mongoose operations. I also read a lots of articles on practical UI designs.
What's next for House of Curiosity
Having specialized feeds for different users. Current feeds system is the same for everyone.
Also we will have a game like system where the user would get rewarded for attending seminar and answering questions.
Built With
express.js
html5
javascript
mongodb
mongoose
node.js
Try it out
realmofcuriosity.com
github.com | House of Curiosity | A website that allows community members to share their interesting ideas/knowledges by hosting their own seminar. If you have an idea, and you want to have a seminar, publish one on the website! | ['Devin Han', 'Justin L.'] | ['Runner Up - Connectivity'] | ['express.js', 'html5', 'javascript', 'mongodb', 'mongoose', 'node.js'] | 5 |
10,312 | https://devpost.com/software/immunize | Home page
User profile details
Analytics dashboard for the admin
Dashboard listing out all the centers on the map
Page to book an appointment for the vaccine, the vaccine centers are mapped on the map
Inspiration
Most of the countries were unprepared to face the Covid-19 pandemic and were not successful in controlling the infection rate. However, given that the vaccine for Covid-19 would be discovered soon, we must have a system in place which will not only distribute the vaccine to the mass population, but will also capture data and churn out patterns to generate insights. This could also be preserved as a learning for the future generation.
What it does
Since a large scale population is affected by the Covid-19 virus, most of the people would want the vaccine as soon as possible. However, there might be a set of people like children, old people, essential service workers and people with life-threatening diseases who will need the vaccine more than the healthy adults. So it is essential that the right people get that dose of vaccine at the right time. The Immunize platform scores an individual based on these parameters and assigns a priority to an individual.
Also, since there would be a limited staff to disburse the vaccines and a high demand, it is extremely important to streamline this process.
How I built it
An user booking an appointment for receiving the vaccine will login/signup which will happen via Auth0. Once a user logs in, he will be able to view all the vaccine centers near his vicinity on a Map. Each vaccine center will also have information related to the number of stocks of vaccine available and the total appointments. A calendar which will also show the day-by-day summary of the vaccine stocks and requests is also available. This will give the user an idea of the waiting queue. Accordingly a user can book a slot on the particular day. However, a user should keep in mind that his turn might get postponed as high priority patients who require vaccine urgently will come in the picture.
An admin will have the dashboard with all analytics and tracking tools. He can check the total requests/stock of vaccines/ total vaccines disbursed from the dashboard. Apart from that a user can enter address of a new vaccine center, and that address will be geo-coded and then displayed on the map.
Challenges I ran into
Plotting the vaccine centers on the map was a bit challenging.
Accomplishments that I'm proud of
The platform also has a feature where it prompts a user for submitting scanned copy of identity proof, so that these users can be given a higher priority. Using a optical character recognition engine to extract the name/date of birth/ Id from the scanned image, is something I implemented for the first time.
What I learned
I learnt how to create a minimum viable product in 2 days. Prioritizing which features to add and time management are the important skills I learnt.
What's next for Immunize
The Immunize app idea should be used by everyone to build a robust system for efficient delivery of the life saving vaccine. I would want to implement more data analytics around this, and also build a demand-supply evaluator, wherein if a highly populated area is falling short for vaccines, the supply from vaccine centers who have extra stock will be redirected. I will also implement a payment option, if at all the vaccine cost would be higher. A channel where people can post about the side effects they have encountered if any, would also be a good-to-have feature.
Built With
auth0
flask
leaflet.js
mongodb
node.js
python
react
rechart
tesseract
Try it out
github.com | Immunize | Platform for efficient distribution and tracking of the Covid-19 vaccine | ['Sharayu Thombre', 'Jui T'] | ['Third Place - Addressing after effects'] | ['auth0', 'flask', 'leaflet.js', 'mongodb', 'node.js', 'python', 'react', 'rechart', 'tesseract'] | 6 |
10,312 | https://devpost.com/software/easy-dmarc | Login Page
A domain already set up
Configuring a domain that hasn't been set up
About
This application sets up DMARC on your Vercel domains, and in the process also sets up SPF. In combination, these secure your domain by protecting you from fraud as it is much more difficult for people to send emails pretending to be your domain.
The impact of this for domain owners is that people won't regard emails from them as spam if criminals are sending fraudulent emails pretending to be them. Alongside this, it ensures better delivery to other people as they can verify that the email is coming from the sender. For the wider public, it reduces the amount of spam and cybercrime as there are fewer domains from which criminals can send emails.
How it works
You log in to Vercel, and it uses the token generated from this to list your domains. You select a domain and fill out the form to specify the options you want and click submit and then two generated DNS records will be added to your domain on Vercel, these are all that is needed for DMARC and SPF.
Tech Stack Used
Next.js, React, Vercel API, Tailwind CSS, Vercel Hosting
How to use it
This application is hosted at dmarc.vercel.app
For local development first clone the repository using
git clone https://github.com/samrobbins85/easy-dmarc.git
Then move into the directory and run
npm install
to install it, then
npm run dev
to start the dev server. The application can then be found at localhost:3000
License
This project is licensed under MIT
Built With
next.js
react
tailwindcss
vercel
Try it out
github.com
dmarc.vercel.app | Easy DMARC | Easily add DMARC to a Vercel domain | ['Tom Nudd', 'Sam Robbins'] | ['Third Place - Security'] | ['next.js', 'react', 'tailwindcss', 'vercel'] | 7 |
10,312 | https://devpost.com/software/watch-together | Landing page
Login
Home page
Add user 1
Add user 2
Watch video & chat room
Full screen video
Watch Together
Screens and features
Inspiration
Before the outbreak of COVID-19, people generally visit their family members (if they are not living together) once per week/ month. They spend time together and carry out activities such as chatting, cooking and having lunch/ dinner, watching TV, etc. However, this may not be possible due to the current pandemic.
Inspired by Discord, we would like to build a platform that allows users to create a virtual living room for their family, with both text and video channels that users can feel free to hop on and off. The platform offers videos, movies, TV shows from a range of sources including Netflix, YouTube, Vimeo, and more. Users can watch videos with their families and hang out together.
What it does
Watch Together offers a platform for users to connect with their families.
The platform provides recommended videos and popular videos from various sources such as Netflix and YouTube. Users create video channels and invite users by their username or email. In the video channel, users can play the video added inside the video channel, and users inside the video channel will be also able to watch the same video. Users can turn on their cameras and microphones so they can see and talk to other users inside the video channel. Users can also chat with other users inside video channels using text.
Users can watch videos in living room mode, mini mode, and full-screen; and save videos for later. Users can vote for a video that they would want to watch together and see the ranking of videos.
How we built it
We made low fidelity wireframes using Miro, and designed the UI and high fidelity wireframes using Figma. We integrated authentication and authorization of our progressive web app using auth0, and developed the front-end using quasar, vercel and vue. We developed the backend using Python and flask.
Challenges we ran into
We encountered the error loginWithRedirect of null, and users will need to clear cookies/ data.
Accomplishments that we are proud of
We have developed a functional web app. Users can login using their Google account or email address, search videos and play a video. They can also chat with other users while watch videos with the chat function.
What we learned
We learnt a lot on authentication using auth0, develop front-end with vercel and backend with flask and Python.
What's next for Watch Together
New Features
Calendar invitation
Schedule videos for your family
Video call
Video call your family and watch videos together
Family groups
Organize your family members into groups
Built With
auth0
css
figma
flask
github
html
javascript
miro
python
quasar
vercel
vue
youtube
Try it out
github.com
watch-together-ui.vercel.app
www.figma.com | Watch Together | Enjoy a range of videos with your family in one touch | ['Youssef El Khalili', 'Arjon Jason Castro', 'Ava Chan', 'Kaushik Prasanth Vijaya Baskaran'] | ['Third Place - Connectivity'] | ['auth0', 'css', 'figma', 'flask', 'github', 'html', 'javascript', 'miro', 'python', 'quasar', 'vercel', 'vue', 'youtube'] | 8 |
10,312 | https://devpost.com/software/covid-19-officespace | Home Page
Availability Calendar
Contact Trace
Azure DevOps feature timeline
Inspiration
COVID19 - Office Space was inspired by our desire to get back into the office, while recognizing that it must be done safely.
What it does
Employees can:
Request days in the office
View occupancy percentages for any office / office section.
Managers can:
Accept / deny office requests
Add new employees to the application
HSE Managers can:
Setup new buildings / sections and manage their rates in the office
Perform contact tracing on any given individual.
How we built it
The app was built over the 3 days from scratch, using only components provided within angular material (or custom ones). The app was built using auth0 for authentication and authorization, while also utilizing azure and vercel for hosting.
Challenges we ran into
Several small issues came up with the code, and both developers had some problems diving too deep into problems. Getting OData to run properly was a large issue, as well as adjusting to Entity Framework Core with its minute differences to EF6 on the API side.
Accomplishments that we're proud of
The app works!
CI/CD is setup and working through Azure Devops pipelines and vercel.
We were able to get contact tracing!
Most of the functionality made it in, and the app doesn't look too bad.
What we learned
The team really would have benefited from another developer, and next time we would look harder.
What's next for COVID-19 OfficeSpace
There are a few features missing that we had planned that I would like to add, and several methods could be cleaned up. I see this being a side project for a while, to get it to a good state and be able to pull examples from in the future. We had the back end partially set up to handle office and section closures, but ran out of time to get the front end added. We'd also like to have mobile add so people could answer important health questions before going into the office, and the health/safety team would be able review them to address any potential issues. We also would like to add a way for an office admin to keep track of people who haven't requested to go to the building, but still went to the office to help with contact tracing if/when needed.
Sponsor technologies used:
Auth0 - used for login, permissions, and roles
Azure - used devops to plan project (three one day sprints, used feature time line, and kept track of tasks)
used azure devops pipelines to deploy C# API
use Azure SQL server for database
Vercel - used to host front end website
Logins for live site
https://auth0-hack2020.vercel.app/
User:
milton.waadams@initech.com
| Password: OSCovid19
User:
peter.gibbons@initech.com
| Password: OSCovid19
User:
bill.lumbergh@initech.com
|Password: OSCovid19
Team
Criagory and Tim work together in the software department for Universal Plant Services
Marek is founder of Okto Digital and helps UPS and many other clients with amazing design work
https://www.oktodigital.com/
Built With
angular.js
asp.net
auth0
azure
bootstrap
c#
material
mssql
scss
vercel
Try it out
auth0-hack2020.vercel.app
github.com | COVID-19 OfficeSpace | COVID-19 OfficeSpace allows managers and employees to grant and request time in the office, while supporting contact tracing. | ['Craigory V Coppola', 'Marek Levak', 'Timothy Baldwin'] | ['Fourth Place - Addressing after effects'] | ['angular.js', 'asp.net', 'auth0', 'azure', 'bootstrap', 'c#', 'material', 'mssql', 'scss', 'vercel'] | 9 |
10,312 | https://devpost.com/software/anti-fraud-vaccine | What is project-faccination about?
This project, built at Auth0 hackathon, is an attempt at making a nifty service with a chromium based browser extension, a webapp and some apis at informing the user about the safety of the website a user is viewing. We are using an npm package page-data-parser to find out simple metadata like domain, subdomain etc of a page and then use Bing Entity Search to establish the validity of the domain to its content. The service provides a score to every website, which will be categorized into 3 types for the end user for simplicity sake- Safe, Caution, Fake.
The basic functionality will be extended upon in the webapp, where the user can look up for any website, check if the website is genuine or not, and also see a side by side visual comparision of how the genuine website looks in comparision to the fake website!
Before this hackathon none of us on the team had any hands on experience with a web based project, implementing the full stack, so we kind of taught ourselves how to do stuff along the way. Some things we could not figure out things major and minor at first, but we somehow made it through!
Built With
auth0
azure
browser-extension
node.js
Try it out
github.com | Anti Fraud Vaccine | Know security of website from browser extension by scanning in the background, we also got a webapp, that opens the URL in our server and shows realtime screenshot for you to gauge a doubtful website | ['Chinmay Kabi', 'Abel Mathew', 'Praisy Satpal'] | ['Fourth Place - Security'] | ['auth0', 'azure', 'browser-extension', 'node.js'] | 10 |
10,312 | https://devpost.com/software/mysafespace-iohfny | User Dashboard with message sentiment data/breakdown
Resources for mental illness when early signs of depression are detected.
GIF
Demo on mobile screen
mySafeSpace
Messaging WebApp for for Mental Health and Digital Citizenship
About
myChat
is an
instant messaging web-app
that promotes mental health and digital citizenship. Users simply register a new account that is secured with a 256-bit encryption algorithm.
Try it here:
http://mysafespace.herokuapp.com/
Submission to Auth0 Hackathon for category of
connecitivity
How it works
Safer Environment:
Perspective API used to determine if a message contains potentially toxic, insulting, racially insensitive, threatening, or sexually explicit content in real-time. If such a message is detected, user is prompted with a warning and short timeout to re-think their message.
Combat effects of cyberbullying and harrassment
Focus on mental health
Improve conversations and community connection with more welcoming environment for all ages
Grow as a digital citizen
Data Analytics
: Message sentiment is also analyzed over time using machine learning and displayed in an
intuitive dashboard UI.
Weekly and daily breakdowns are available for both message sentiment and message content so users can gauge their mood and digital citizenship over time.
It comes
filled
with
features
including a wide selection of cartoon avatars, the ability to add friends, create a social media profile, and create channels. The webapp is optimized for desktop and mobile devices
Inspiration
With the rapid growth of the internet in recent years, has come greater connectivity between people all over the world. However, there is always the concern of digital safety when it comes to things like cyberbullying, harassment and predators online.
As the internet begins to play a larger role in our lives, it has become a medium for us to express our feelings and personal life. Especially with COVID-19 and social distancing, there is a greater need for online connectivity. A goal of this project was to use technology to improve conversations and to better understand our feelings and emotions.
Tech Stack & What I Used
Framework: Flask
Languages: Python, Javascript, HTML/CSS/Jinja2, SQL
Messaging: Socket-IO
Database: Postgres
Deployment: Heroku
Machine Learning: NLTK, pandas, numpy, scikit-learn
API: Perspective API, Google Cloud
How to use it
Simply visit mysafespace.herokuapp.com for live version
Mobile Users: Add to home screen to view in fullscreen. Note it is not yet properly optimized for mobile.
Since this is a prototype, if there are any bugs please contact me for fixes.
For local deployment:
# Clone repo
$ git clone https://github.com/AndyKChen/myChat.git
# Install all dependencies
$ pip install -r requirements.txt
# Setup database using a tool such as adminer and get the credentials
# Set Environment Variables
$ SET DATABASE_URL = "your database"
$ SET SECRET = "your secret key"
$ SET FLASK_APP = app.py
$ SET API_KEY = "api key from perspectiveAPI"
# Run
$ python app.py
# Go to 127.0.0.1:5000 on your web browser.
Accomplishments that I'm proud of
Although it is a protoype, there are a wide range of basic features found in popular messaging platforms
Succesful usage of API to classify content of user messages
Timeout function and warning popup
Dashboard UI with data analytics of message sentiment and content
Machine learning model to detect early signs of depression and give user's useful resources related to mental health
What's next for mySafeSpace
Security Features: Using Auth0 for two factor authentication.
Scaling up: As users increase, change deployment method to scale.
New Features: Create private invite-only groupchats, fix mobile UI, Gamerooms
Built With
css
flask
html
javascript
natural-language-processing
python
sql
Try it out
github.com | mySafeSpace | Instant Messaging Platform for Mental Health and Digital Citizenship | ['Andy Chen', 'Jennifer Chen'] | ['Fourth Place - Connectivity'] | ['css', 'flask', 'html', 'javascript', 'natural-language-processing', 'python', 'sql'] | 11 |
10,312 | https://devpost.com/software/international-covid-sensitive-travel-map | MacOS PWA application
Inspiration
Each of us like to travel, but in the current situation this become a little bit difficult - many country have some restrictions on entry and special requirements for local citizens and foreign people. We decide to create simple useful application where everyone can see restrictions for all countries in the world or choose origin country from what he going to travel and check restrictions to each other country in the world.
Unfortunately many countries have too many COVID risks, so we provide to user travel advice with current information COVID-19 situation by each country.
What it does
This application has really simple and user friendly interface. On the main application screen user can see covid restrictions map for travelers from all over the world. User has usual abilities to work with a map: the map can be zoomed by click on the plus/minus buttons and drag the map by pressing mouse button and moving cursor.
How We built it
We build PWA application using React, Next, FaunaDB, Material UI, React Simple Maps and use Versel auto-deployment.
Challenges We ran into
120+ commits for weekend
Accomplishments that I'm proud of
We build useful MVP PWA application in very short terms
What We learned
We are learned how to work with FaunaDB, how to how to use Versel with GitHub, hot wo manage releases on GitHub.
What's next for International COVID Sensitive Travel Map
Our plan for the feature version of the application is to increase count of sources to provide the most recent and comprehensive information to the user. And the most important thing that we would like to implement is the repatriation flight schedule and onboarding rules.
Built With
faunadb
next
pwa
react
Try it out
covid-patrol-omega.vercel.app
github.com | International COVID Sensitive Travel Map | Our goal is to provide a summary by country entry restrictions and travel advisories from many authorities, normalize them, create a comparable scoring and present this informations on world map. | ['Kholiavko Roman', 'Aleksei Chyrva'] | ['Fifth Place - Addressing after effects'] | ['faunadb', 'next', 'pwa', 'react'] | 12 |
10,312 | https://devpost.com/software/auth0-voice | Inspiration
Auth0 Microsoft Voice Login:
is a two way factor login authentications build on top of Auth0 Powered by Microsoft Speech to Text Synthesis.
Designed for both Normal and Disabled Users(Eg.Users with Impared Visions).
Its time to end Spam-bots menace and Unauthorized Users Account access by Hackers.
Features/What it does
1.) Easily Upload Your Recorded Voice Audio Data. The Audio Voice can be a series of Speech as Audio or Text messages converted as audio/voice files.
Accepted Format is .wav Files.
2.) Each Uploaded Audio Voice Files are decoded to get the text content via Microsoft Speech to Text Synthesis
3.) The Decoded Voice Audio Messages are password hashed before saving it to database using Php Password Hashed Algorithm.
4.) Each Time User Login to the App, Voice Verification will popup as a two way factor authentications. The User is then required
to Upload and Verify his Voice Audio Data. The Uploaded Voice data is then
decoded to text messages via
Microsoft Speech to Text Synthesis
and matched against the Previously Decoded Voiced hashed
messages along with authenticating User email address to allow or denied Access.
Why This Auth0 Microsoft Voice Login:
1.)Good bye to Spam-bots and unauthorized Users accounts access by Hackers
2.) Highly Secured. You can even write a full page letter with over 1000 words and convert it to audio wav files and use it
as your voice data. Decoded Voice Data are hashed and matched along with the authenticating users email address coming
from Auth0.API
3.) Best two way factor authentications option for People with Disabilities (Eg. Users with Impared Visions)
4.) 100% Reliable than Face Recognition.
5.) Super Blazing Fast API.
6.) Each API Call is less expensive and Network Reliable than SMS OTP
7.) No Message Queue as in case of SMS.
8.) Any Audio Voice can serve.
Microsoft Speech to Text Synthesis
currently supports .wav, .mp3, .ogg files etc. but in this app we have implemented .wav files so more file format options can be rolled out.
9.) Voice Audio File can be in any language of Choice as Microsoft Azure supports over 40 languages but for this
demo application, we implemented only English
Speech to Text Synthesis.
How To Use this App:
Its Just simple. Go to
Upload Voice Data
Menu on landing Page and Upload your Audio/voice Recorded data. Accepted format is .wav files.
The App will require you to Enter
Email Address
that you use to authenticate Auth0.com Eg. if you are log in into auth0 with Gmail Google Account. The email address must match that of your Google Email Address.
Next You can Now login via Auth0 login button. Each time you login the app will require that you verify your Voice Audio Data
before allowing you to see any content in this case
( Your Auth0 Home Content, Profile Data etc.)
Technologies used to build this app:
1.) Auth0 Login API
2.)Microsoft Speech to Text API
3.) Microsoft Azure Hosting for Remote Sever Call
4.)Nodejs
5.)Ajax and Jquery at Front end
6.)Php and Mysql for Storing and processing Data to and from Microsoft Azure Hosting Server
How to run this Application
To run this application Locally or Remotely via Microsoft Azure Hosting please see the instruction files attached to the code submission.
Challenges I ran into
Accomplishments that I'm proud of
Just trying out Auth0 and Microsoft Azure for the first time. They are awesome and fantastic
What I learned
What's next for Auth0 Voice
more features coming soon...
Built With
ajax-jquery
auth0
microsoft-azure-hosting
microsoft-azure-speech-text
mysql
node.js
php | Auth0 Microsoft Voice Login | A Microsoft Voice/Speech to Text two way factor authentications desinged to end Spambots menance and unauthorized Users Account access by Hackers. | [] | ['Fifth Place - Security'] | ['ajax-jquery', 'auth0', 'microsoft-azure-hosting', 'microsoft-azure-speech-text', 'mysql', 'node.js', 'php'] | 13 |
10,312 | https://devpost.com/software/needzo | Landing Page
Donation Payment Gateway
Working Flowchart of the needzo platform
Inspiration
Living in a neighbourhood with a high population of elderly, we see and can feel the need for a handy and user-friendly mobile platform for people to request help or lend a hand to their fellow neighbours, friends and citizens. There are a lot of us healthier individuals who are less at risk, who can do this for them and deliver to them in a safe manner in this COVID-19 situation.
The goal is to allow vulnerable populations who don’t have strong support systems to stay at home and reduce their risk of infection, while ensuring they can still get access to essentials like food and medicine.
What it does
Needzo lets those under self-isolation and other vulnerable groups request deliveries and allows local volunteers to sort through, claim, and complete those deliveries with a gamification system to encourage volunteers to contribute more and feel rewarded for the cause.
In a nutshell the platform lets those under self-isolation in a region post requests for deliveries and allows us to connect those who want to volunteer to help, purchase and deliver groceries for someone in need.
A user can register as a delivery person or a receiver and see a list of corresponding people who they can help or be helped by.
The working flowchart for the platform is added in the image gallery section of the devpost submission. Users can also chat with volunteers for special instructions for the delivery using the in app based chat services.
How we built it
We built the frontend setup with ReactJS framework, Redux library and Reactstrap components.
The backend is baked on NodeJS with mongoDB Atlas as the database provider of choice.
APIs that were used in project include HERE Maps SDK for geo encoding need, Auth0 as the authentication library and axios as the HTTP client. RChat was used for integrating the in app chat support.
The payment gateway integrated for driving the platform on donations is powered by Razorpay so that it could be a more at ease and familiar experience for the targeted Indian demographic,
Challenges we ran into
Integration a reliable authentication provider while also having a flexible data to work with. Auth0 solved this problem for us.
Finding pinpoint locations from the user provided address, HERE MAPS SDK helped us out in a lot more ways than this.
Accomplishments that we are proud of
Working with the HERE maps geoencoding API, we managed to add colour based delivery status markers linked to the pickup status of the request.
Working as a team in a limited time frame
Design that gratifies the volunteers to drive and validate their non profit work in a way that motivates then to contribute more on their part.
What we learned
As we only have had couple of web projects before this the experience was quite a learning curve for our team. We still were not able to deliver the full concept given the time constraint but we would love to work on this further on and finish the project that we started with.
What's next for Needzo
Payments Integration for ensuring contactless payments.
Requester and Delivery person can connect and can chat, call with in the app.
Live location of the volunteering person so the requesters can know where are Helpers right now.
Built With
atlas
auth0
express.js
github
here
here-geocoder
heroku
mongodb
node.js
react
reactstrap
Try it out
github.com | Needzo | Needzo lets those under self-isolation and other vulnerable groups request deliveries and allows local volunteers to sort through, claim, and complete those deliveries with a gamified approach. | ['Ankesh Bharti', 'Atishay Srivastava', 'Barun Acharya'] | ['Fifth Place - Connectivity'] | ['atlas', 'auth0', 'express.js', 'github', 'here', 'here-geocoder', 'heroku', 'mongodb', 'node.js', 'react', 'reactstrap'] | 14 |
10,312 | https://devpost.com/software/learn-in-groups | Inspiration
COVID-19 has affected our lives drastically. The sector which has been affected most is Education. SO we wanted to do something about it.
What it does
It is a web app that connects people of all around the world and lets them study together. People can create small groups of 4-5 people. Group members can agree to hire a mentor. This way mentors can get paid for their services and students can learn from them in group staying at group.
How we built it
We build it using Django primarily. Our front end is made with html and css.
We have used Auth0 to implement authentication. We have also used Heroku to deploy it.
Challenges we ran into
The challenges we ran into were that we couldn't use Digital Ocean because of technical issues. So we had to turn to heroku.
Accomplishments that we're proud of
We're proud of this submission as this is first ever submission by us. We Have got great help from out mentor and Auth0 community.
What we learned
We learned the importance of security in web apps. We have also learned how important it is to create a platform to connect people.
What's next for Learn in Groups
In future We will use Amazon Web Services for storage and Stripe for Payment.
Built With
auth0
css3
django
html
python
Try it out
github.com | Learn in Groups | "Learn in Groups" is an online platform that will connect students and teachers all over the world. | ['Ali Akber', 'MD. Anamul Arshad', 'Farhana Ahmed Fima'] | [] | ['auth0', 'css3', 'django', 'html', 'python'] | 15 |
10,312 | https://devpost.com/software/empire-z034cj | Home Page
Create Announcement
Teacher's Dashboard
Editor for notes
Inspiration
During COVID-19 most of the schools, private coaching classes, universities all around the world were closed. Teachers and students could not meet in the usual offline setting anymore. Learning, connectivity and collaboration took a hit. Things had to be moved online. With video conferencing tools like zoom, google meet teachers could arrange for classes and continue teaching online. Although this is great, some extra works like managing notes, giving assignments, taking exams, making announcements and other activities cannot be managed well. We thought of addressing this issue and thus came up with a collaboration tool.
What it does
The tool provides a single page dashboard for teachers and students. This dashboard is built keeping simplicity, ease of use, and availability in mind. The user has easy access to all components of the tool on a single page.
Actions teacher can perform :
Create a class
Add students to this class
Assign and track todos that are assigned to students. [Example : Write an essay on My Pet]
Make announcements that will be shared with students [Example : Online class being held on 12/08/2020. Join using this link :
https://meeting.link
]
Write notes in an online editor which can be shared to students
View statistics about the actions performed on the todo by students
Create todos and notes for personal use
Actions student can perform :
Manage todo assigned by the teacher by updating the status. [Todo, InProgress, Done]
View announcements made by the teacher
View notes shared by the teacher
Create todos and notes for personal use
How we built it
We have built a Web application using the technologies listed below :
Nextjs
Reactjs
Expressjs
Tailwind CSS for styling
Auth0 for Authentication
Graphql with Hasura for Database
Sendgrid for mailing
We started off with the integration of Auth0 and Hasura with nextjs. Later we moved into developing core backend and frontend code.
Challenges we ran into
We spent a lot of time integrating Nextjs with Auth0 and Hasura
Managing roles and rules configuration in Auth0
Accomplishments that we're proud of
Using Hasura to maximum
Getting started with Auth0
The love of GraphQL
What's next for Empire
Improving the idea of the tool to extend it to actual production.
Integrating payment APIs and allow local tutors, coaching classes to take payments from students.
Building more features that help in collaborative remote learning.## What it does
Built With
auth0
express.js
graphql
hasura
nextjs
node.js
react
Try it out
github.com | Empire | A tool connecting teacher and student to collaborative learning and helping local tutors continue what they did | ['Supriya Shashivasan', 'Girish Patil'] | [] | ['auth0', 'express.js', 'graphql', 'hasura', 'nextjs', 'node.js', 'react'] | 16 |
10,312 | https://devpost.com/software/rise-juan | Sign-in page
Discover campaigns page
Campaign page
Landing page
Inspiration
Small businesses—the so-called micro, small and medium enterprises (MSMEs) account for 99.6 percent of the nearly one million businesses in the country. They employ 61.6 percent of the total number of employed.
Small businesses are one of the hardest-hit sectors by the coronavirus crisis.
Jorge Wieneke, co-founder of the Association of Filipino Franchisers Inc (AFFI)
In the past few months, a lot of small businesses were struggling to produce an income due to the lack of customers because of the quarantine/lockdown. As a result, business owners have struggled to pay for their employees resulting in a lot of Filipinos getting laid off.
The PH Government created a law which is Bayanihan Heal as One Act granting the President additional authority to combat the COVID-19 pandemic in the Philippines. However, there is no scheme under the Bayanihan Heal as One Act to help small businesses, which make up 99.6 percent of all enterprises.
This is where Rise Juan comes in. Rise Juan creates an opportunity for small businesses to make an income through campaigns. Businesses can create a campaign that helps communities and groups by offering their own products which will be funded by donors.
What it does
Businesses create a campaign to donate their products to their community of choice.
Donors can contribute through monetary donations to campaigns.
Campaign donations not only help communities in need but also helps local businesses sell and promote their products.
How we built it
Frontend: React (CRA)
Authentication: Auth0
Backend: Node.js
Framework: Nest.js
Database: MongoDB Atlas
Infrastructure:
Frontend: Vercel Now
Backend: DigitalOcean
Storage bucket: Filestack
Challenges we ran into
We had some difficulties with deployment and payment integration.
Accomplishments that I'm proud of
We're able to finish the project and learn new things along the way. At the same time, we've managed to come up with an idea that will help small businesses and the community to rise amidst the pandemic.
What we learned
We realized the impact of the COVID-19 pandemic on the small businesses and the community. We've learned fancy techs as a bonus.
What's next for Rise Juan
We're connecting to the local small businesses and community for possible early adopters. We hope to
Built With
amazon-web-services
authh0
mongodb
nest.js
node.js
react
react.js
vercel
Try it out
risejuan.tinkerhub.dev
github.com | Rise Juan | Rise Juan is a fundraising platform that creates an opportunity for local businesses to grow and promote their products through the act of giving. | ['John Michael Doroy', 'Janjan Medina', 'JM Santos', 'Ricky L. Hadjirul'] | [] | ['amazon-web-services', 'authh0', 'mongodb', 'nest.js', 'node.js', 'react', 'react.js', 'vercel'] | 17 |
10,312 | https://devpost.com/software/unify-5wtuye | Report
Match Screen
Messaging
Profile
Match Modal
Start Up
Inspiration
Tertiary education serves as an iconic coming of age experience for students to obtain a degree and to make connections with a diverse range of people. However, the student experience has been hampered by COVID-19 restrictions following the cancellation of in-person classes, lectures and university events. Students cannot rely on their support network of friends and are prematurely immersed in an online learning environment consisting of basic resources (online lectures and tutorials). A lack of interaction with peers, professors and tutors exacerbates the once tight-knit university community. With 76% of students surveyed finding online learning ineffective, such a disruptive educational landscape can demotivate and lead to loneliness and depression, making learning significantly more difficult without a medium for student discussion (Degree of Connection USYD survey, July 19 2020). This issue is prevalent for all students, especially first years and newly transferred students.
What it does
Unify is a socialising application that allows students to match and chat with new peers based on their degree, subject code, and interests. It takes inspiration from dating apps but removes the features of swiping and profiling based on appearance. Using a custom algorithm and IBM Watson Personality Insights, Unify automatically matches like-minded students together and allows them to organically build the rapport that is absent in the current online learning environment.
For the user it is as simple as hitting the ‘Unify’ button in the home screen to match with other like-minded students who are requesting or have requested for a match. Then, once a match is made, the student can tap on the person’s profile and begin chatting and making new friends.
How I built it
In the front-end we used react-native and expo to have easy cross platform abilities. In the backend we used Node JS and Express accompanied by Firebase Firestore and functions. IBM Watson, and Auth0 were also incorporated in order to enhance the user experience by providing easy and secure social logins and better matching options.
What's next for Unify
Building out the UI further and refining the matching algorithm are the highest priority.
Built With
auth0
expo.io
express.js
firebase
ibm-watson
node.js
react-native
Try it out
github.com
drive.google.com | Unify | Unify is a socialising application that allows university-aged students to match and chat with new peers based on their degree, subject code, and interests. | ['Andrew Chung', 'Cameron Choi'] | [] | ['auth0', 'expo.io', 'express.js', 'firebase', 'ibm-watson', 'node.js', 'react-native'] | 18 |
10,312 | https://devpost.com/software/virtual-studio-tools-to-help-artists-galleries-go-digital | Home page
Artist / Gallery Listing Page
Studio page with 3d art
3d walkthrough page
Events Page
Art explore page
Art explore
Admin login with Auth0
Studio listing - Admin
Admin dashboard
Admin dashboard - places
Inspiration
Due to covid the traditional way of consuming art like visiting studios is no longer safe/ feasible. So, I wanted to enable various artists, photographers and studios transition online easily. Scan and move their assets and establish digital presence. Also virtually host and organize events.
This tool enables various artists and institutions go digital. All of the assets can be scanned using 3D scanners and easily uploaded to this website using the admin panel.
Each organization will have separate listing page (with detailed description, location, art listing, 3D walkthrough etc)
Digitze art and photos using 3D models. Offer virtual walkthrough of physical spaces, galleries, libraries etc. Conduct online events and increase engagement!
What it does
Artist/ Studio listing page
Admin panel
Virtual walkthroughs of various locations inside the building
Explore various artists and galleries at once
3D virtual reality rendering of scanned items.
View and join upcoming events
Admin panel credentials - email:
admin@example.com
, password: password
How I built it
This website is built using the following technologies
Ruby on Rails
Postgres
Auth0 for authentication
Google javascript Maps API
Sketchfab for 3D rendering and assets
AWS S3 for storage
Heroku server
Features
Easily add new artists/art galliers/ other physical spaces - Separate admin panel with restricted access for each organization
Upload 3D/VR resources from various sources
Explore through various museums at one go
Create events for various organizations and join upcoming events
Full fledged admin panel
Gallery/artist listing page with Google maps location, description, art listings, walkthrough etc
3D artifact/ walkthroughs with annotation
Challenges I ran into
Creating and rendering of 3D assets was difficult. But finally achieved it with a combination of sketchfab and Marzipano
Accomplishments that I'm proud of
New artist/studio can be onboarded in a matter of minutes. Complete control over data
What's next for Virtual studio
I want to improve the UI and give fine grained control to the organizations on board
Custom domain name for each organization (gallery/artist etc)
Built With
3d
amazon-web-services
auth0
google-maps
heroku
node.js
postgresql
ruby-on-rails
s3
scan3d
sketchfab
Try it out
github.com
virtual-studio.herokuapp.com
virtual-studio.herokuapp.com | Virtual Studio - Tools to help artists/galleries go digital | Help artists, photographers and studios transition to a digital environment. Interactive 3D virtual walkthrough through the physical space and art. Create and join events to increase participations. | ['Jayshree Anandakumar', 'Anand C'] | [] | ['3d', 'amazon-web-services', 'auth0', 'google-maps', 'heroku', 'node.js', 'postgresql', 'ruby-on-rails', 's3', 'scan3d', 'sketchfab'] | 19 |
10,312 | https://devpost.com/software/covid-watch-8t5j6o | Sign In Screen
Profile Page
User Dashboard
Inspiration
The bureaucratic challenges of managing COVID-19 make returning back to normal operations in the workplace and school difficult. As a vaccine is still far on the horizon a universal way to be able to track employees' and students' daily health checkups, test results, and vaccinations will make day to day operations much easier.
What it does
COVID Watch provides a clean and simple way for organizations and schools to manage their employees and students in regards to COVID. Employees and students can submit daily checkups reporting temperature and symptoms to their respective organizations. Once these users have been tested for COVID the COVID Watch app provides an easy way for their organizations to see the results and administration date of tests. Once COVID vaccinations are made public the app also allows users to report when they receive these vaccines. Organizations can see and manage their members with a quick and easy way to access the reported daily health checkups, test results, and vaccinations of their members. Additionally, if the unfortunate happens, organizations are also able to indicate their members should quarantine.
How we built it
The application is based on React Native/Expo and utilizes TypeScript and the Apollo GraphQL client to access information provided by the AWS AppSync API.
All backend resources are orchestrated by AWS Amplify including the database, user authentication, and API. The GraphQL Codegen is used to automatically generate types and queries based on GraphQL query, mutation, and fragment files in the
/graphql
directory.
Authentication is preformed by the
aws-amplify
NPM package, which provides nice APIs to access user credentials and authentication state.
Challenges we ran into
Because this was everyone's first relatively large Git project, we ran into many merge errors when trying to bring the frontend and backend branches together. Combined with the issues we had syncing to AWS, this cost us a couple of hours of troubleshooting, but once we figured it out, things went quite smoothly.
Accomplishments that we're proud of
Many of the technologies we used for this project were new to us. We had never made a mobile app before, we had never used React or Typescript, and we mainly worked alone before the project. Learning all of these technologies in the span of one weekend is something we were all very proud of.
What we learned
We learned that making an app is no easy task. Whenever we thought we were ahead of schedule, we realized we were actually hours behind. We learned that in-person (socially distanced) communication is key to troubleshooting problems and staying on the same page.
What's next for COVID Watch
We had a lot of other features in mind for COVID Watch that didn't make it into the final build, such as announcements, more widgets, and better interactivity. Now that the event is done, we can focus on making our app even better.
Built With
amazon-web-services
amplify
expo.io
graphql
react-native
typescript
Try it out
github.com | COVID Watch | COVID Watch allows organizations and schools to view disclosed daily health checkups, test results, required vaccinations, and quarantine status of their employees and students. | ['Octavian Donca', 'Gent Semaj', 'Kirk Brauer'] | [] | ['amazon-web-services', 'amplify', 'expo.io', 'graphql', 'react-native', 'typescript'] | 20 |
10,312 | https://devpost.com/software/connectsync | Profile page
members tab
edit profile info
edit profile image
home page
register modal
landing page
Inspiration
Our one of the main motive was to create a simple and user-friendly social media app that users will be able to use in seconds without having to go through some unnecessary process.
What it does
ConnectSync is a social networking site made for co-workers to connect with each other more personally. With the help of this amazing application, users can create or join workplaces, post content to a specific or more than one workplace, chat with other members of the workplace, like & comment on contents, all the things that will help users connect together. We have added a ton of features to make users' life easier while keeping simplicity in mind. Our one of the main motive was to create a simple and user-friendly social media app that users will be able to use in seconds without having to go through some unnecessary process.
How I built it
Challenges I ran into
Accomplishments that I'm proud of
Users can register either by their email address or with their google account.
Once registered, the user will be redirected to the home page where the user can either create a workplace and invite other users to that workplace or join a public workplace by typing an available public workplace name.
Once the user becomes a member of a workplace, he/she will be able to post content to that workplace.
User can be a member of multiple workplaces. So if the user wants, then at the time of posting any content, the user will be given the option to choose where he/she wants to post the content to.
Users can view contents that are posted by the members of the workplaces that the user is in.
Users can view all the users that members of a specific workplace in the
Members
tab.
User can chat with other members in the
Chat
tab.
User can add/update the profile details such as bio, residence, profile image, social links, etc in the
Profile
tab.
What I learned
We learnt a lot, working in a team, handling pressure situation etc.
What's next for ConnectSync
Future plans
We could not implement all the features that we're planning to, but we'll add them after this event. Some of the features that we are going to be implementing are:
Video calling feature
Notification
User can create a private group and invite other members by sending on referral code
Saving, Sharing posts
Adding the support for sharing other media files such as video, documents, links etc
Making a member of the workplace admin by another admin
Adding other users in a workplace by admin.
Built With
express.js
jwt
mongodb
node.js
react.js
Try it out
github.com
connectsync.herokuapp.com | ConnectSync | ConnectSync is a social networking site made for co-workers to connect with each other more personally. | ['Dhanmoni Nath', 'Yew K.', 'Jawad Vajeeh', 'Sonu Bhatt'] | [] | ['express.js', 'jwt', 'mongodb', 'node.js', 'react.js'] | 21 |
10,312 | https://devpost.com/software/1000interviews-conduct-1000s-of-remote-interview-using-a-i | Inspiration
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
Built With
node.js | Bot Maker | Making bots has never been simpler | [] | [] | ['node.js'] | 22 |
10,312 | https://devpost.com/software/gameparty | Icon
Join the same room with your friends using nickname
Main Screen
Chat with your friends and see who is in the same room
Vote for the game that you wanna play. The one gets most vote will show in the game window.
Inspiration
The lockdown caused by COVID-19 has forced us to get creative when it comes down to hanging out with friends. Since leaving the house isn't safe these days, the best way to spend time with friends is through virtual game nights! Thus, we have decided to create a website to bring all the games into one page where everyone can have a good time!
Life was meant for good friends and great adventures
What is the App?
This is a React website that connects users with their friends, families, and co-workers to a few fun rounds of online games, including Cards Against Humanities. The website allows user to chat, vote for the next game to play, and, of course, play the game.
What it does?
The app connects users with their friends, families, and co-workers to a few fun rounds of online games, including Cards Against Humanities. The website also allow users to chat, vote for the next game to play, and, of course, play the game.
How we built it?
We used React, Express.Js, Socket.io, and tried to deploy it in Microsoft Azure
What challenge have we ran into?
To create chatroom between server side to client side, deploy the project through Azure, create the UI we wanted.
How does it work?
Initially, the user enters their name and a room number. Then, the user gets to view and chat with the people in the same room while playing their favorite online games. After the round, everyone then can vote for the next game to play on the bottom on their screen.
What's next for Game Party?
Add video streaming, authentications, and have the website be created with Gatsby
Built With
css
express.js
html
javascript
react
socket.io
vercel
Try it out
github.com
gameparty.vercel.app | Game Party | Stay connected with your friends and play games together! | ['Sien Shen', 'Alex Juan'] | [] | ['css', 'express.js', 'html', 'javascript', 'react', 'socket.io', 'vercel'] | 23 |
10,312 | https://devpost.com/software/shoptogether | Inspiration
With so many responsibilities keeping people at home in light of COVID, and many shelter-in-place orders, more and more people are finding it difficult to run even every day errands, like going to the store. Delivery services can get pricey and aren't available everywhere.
What it does
ShopTogether helps friends, families, and neighbors connect and share when they are running errands to the store so they can pick up goods for them along the way! Save on fees, reduce group risk, and stay connected.
About
As new parents, my significant other and I are very sensitive about the trips we take outside. Nearby family and friends have been great with helping us get the errands done that we need. This app idea came from the idea of making that type of coordination easier for everyone.
Tech
Our app is deployed on Vercel and heavily uses the built-in serverless function capabilities. Our database is hosted in MongoDB Atlas. The application is written in Ionic Framework with React, and uses React-Redux-Tools to manage the React Store. Finally, authentication is provided by Auth0!
How I built it
Hackathon Submission Release:
https://github.com/ryantenorio/co-shop/tree/v0.1-alpha
We started with one person getting the most raw form of the page flow written in Ionic. This helped establish some baseline coding standards and sample code to work from for team members less familiar with the framework. Then, a group of us focused on cleaning up the Ionic app while two of us handled the data store, backend API, and authentication integration. Finally we brought it all together in a flurry of live tests and silly commits.
This app is designed to be ran in vercel. You will need to have these ENV variables set up and then fix the db urls in the go files found in the
/api
directory. That
should
be the only place in this release where code changes are needed.
DB_USERNAME
DB_PASSWORD
REACT_APP_AUTH0_DOMAIN
REACT_APP_AUTH0_CLIENT_ID
REACT_APP_AUTH0_AUDIENCE
Because we use Go, make sure you have the latest Go version installed.
It should be smooth sailing from there. In your vercel enabled environment, hit that
npm install
followed by that
vercel
to link it up into your own vercel account and you are off to the races! Mileage may vary with
ionic serve
because of the serverless functions.
vercel
and
vercel dev
are great because they let me test my serverless functions locally with my app!
Challenges I ran into
react is hard!
redux is harder!
scoping is always a challenge
Accomplishments that I'm proud of
we got persistence working!
barebones but already useful application
What I learned
vercel
redux
What's next for ShopTogether
Take advantage of our Ionic choice and create native mobile apps
better social integration so you can share with existing contacts and not just via email
start your trip and send live notifications to your co-shoppers when you get their item or are unable to find it
add more optional fields for items
integration with shops and payment providers?!
Built With
auth0
go
ionic
javascript
mongodb
react
redux
vercel
Try it out
co-shop.vercel.app
github.com | ShopTogether | Communal Shopping! Share your future shopping trips plans with your friends, family, and neighbors so they can request items for you to pick up for them! Reduce COVID exposure and delivery fees! | ['Ryan Tenorio', 'Andrew Heiderscheit', 'JH Deng', 'Matt Stansbury'] | [] | ['auth0', 'go', 'ionic', 'javascript', 'mongodb', 'react', 'redux', 'vercel'] | 24 |
10,312 | https://devpost.com/software/covid-19-a-boon-for-nature | Dashboard 1
Dashboard 2
Dashboard 3
Analysis Notebook 1
Analysis Notebook 2
Analysis Notebook 3
Inspiration
Air Pollution causes more than seven million deaths per year. In 2018, USA linked to nearly 10,000 additional deaths. More than 3/4 of annual greenhouse gases gets produced by transportation, industry, and power generation resulting in forcing the 90% of the global population to breath in unsafe air.
The novel COVID-19 virus has left the world reeling with thousands of deaths and lakhs of cases. The entire human life has come to a standstill with the majority of the countries enforcing shutdown/lockdown and travel bans.
Amidst this chaos, there is an unlikely beneficiary in the form of mother nature. There is a drastic reduction in air pollution
all over the world which has been a major concern over the years.
This positive outcome has inspired me to research more on the datasets available and predict the impact of improved air quality on the overall ecosystem, such as by how far the melting of polar ice will be pushed which was originally predicted at 2100. The positive aspect of this pandemic could be an eye opener to reanalyze the parameters which play a vital role in a healthier environment. This might encourage people to keep the air immaculate once this lockdown is over.
What it does
It analysizes the Air Quality Data of various cities around the world befor and after COVID-19 and shows how COVID has effected the air pollution around the world.
How I built it
Given data was split into the period before shelter in placestarted and after it. The data after shelter in place was setaside for comparison with the predicted data. Data from 2014 to shelter in place was used to train the time series model,which resulted in prediction of the content of pollutants if shelter in place would not have happened.
Three models naming Auto-Regression, Moving Average,Seasonal Autoregressive Integrated Moving Average were used for time series prediction. Results from these models was tested by keeping aside known testing values from January to the date of Lock-down and then later comparing this to the predicted value by the
model.
Eventually, Moving Average model came to perform best with repeat to others. RMSE value was used to check the
accuracy. Finally, Moving Average algorithm was used to predict unknown values for all other cities using complete
known dataset. Figure 7 shows the final predicted graph for the PM2.5 content with Shelter in place and without it for predicted valus of 2020.
Challenges I ran into
The dataset had some outliers which needed to be preprocessed and hence had to be discarded. Some models which we expected to show drastic contrast did not show much
change. Such as the pollution level change in Seoul and New York. This when we researched found out was because these are flagship cities of first world countries and hence have better environment protection policies in place when compared to other cities of developing countries.
We also faced difficulty in finding datasets of air quality for various countries and cities around the world, this poses a serious problem because what cannot be measured cannot
be managed. According to a report of IQAir[1] areas that lack air quality information are often estimated to have some of the world’s most severe air pollution, putting huge populations at risk. Africa, a continent of 1.3 billion people, currently has less than 100 monitoring stations that make PM2.5 data available to the public in real-time
Accomplishments that I'm proud of
We have overcome all the difficulties successfully.
What I learned
Learned new technologies like time series analysis, dash, html, css.
What's next for COVID-19: A Boon For Nature
Need to collect more data and to analyse sir quality after lifting of lockdown in various countries.
Built With
dash
data-analysis
matplotlib
numpy
pandas
plotly
python
time-series-prediction
Try it out
github.com | COVID-19: A Boon For Nature | COVID-19: A Boon For Nature, This shows us that actually the covid outburst has been a boon for natural life. The dashboard shows us how... | ['Utkarsh Chaurasia', 'Shashank Verma'] | [] | ['dash', 'data-analysis', 'matplotlib', 'numpy', 'pandas', 'plotly', 'python', 'time-series-prediction'] | 25 |
10,312 | https://devpost.com/software/medikeep | Viewing Measurements
Our Home Page
Adding a Report
Filtering Reports
Viewing Multiple Reports
Inspiration
In countries without centralized medical history storage like India, doctors and patients have to maintain their own copies for each document. This leads to problems in storage and in remembering each document’s physical or digital location. This makes doctor visits an arduous task.
What it does
In simple terms, it lets you maintain medical reports and medical measurements like blood sugar levels, etc. and share with them your doctor in a secure manner.
How I built it
We built it by combining modern web technologies like React with trusted and secure technologies like Firebase to build a sleek and modern UI.
Challenges I ran into
Native development was a major challenge for us. As we normally work on web, building native apps had a long learning curve. Eventually, we had to shift back to our trusted web technologies to finish the app.
Accomplishments that I'm proud of
Rewriting Auth from supporting Realtime DB to Firestore. Managing file uploads through FireStore, which stores URLs of uploaded files in localstorage till the user makes a submission, ensuring users don't lose their progress.
What I learned
We tried a lot of cross platforms frameworks like React Native and Flutter. Finally, we decided to build an app using TWA technology.
What's next for MediKeep
Completing our MVP and starting off with alpha testing.
Built With
firebase
gatsby
netlify
Try it out
medikeep.netlify.app
github.com | MediKeep | Maintaining physical Medical reports can be a tedious task meet MediKeep an easy medical report storage platform. | ['Akash Nainani', 'Akash Joshi', 'Anant Sahrawat'] | [] | ['firebase', 'gatsby', 'netlify'] | 26 |
10,312 | https://devpost.com/software/gaming-website-j89x76 | Inspiration
We were inspired from the current prevailing scenario that most of the gamers around the world are facing and due to which losing a bit so we decided to build a minimal solution for which it would ease the lifves of most of us!
What it does
• General Description:
We've created a website where users can interact with our fascinating and also nostalgic online mini games, find out more about High End Online Games, Check for Work from Home Jobs, Stay Updated with an Integrated Covid-19 Update Tracker, and more!
How we built it
We used HTML, CSS, and JS as a language to build this website. We also used JQuery and Bootstrap to make it easier to customize in Website Growth.
Challenges we ran into
It was very challenging to accomplish each and every thing on time as well as the ideas jottling our minds make us change every now and than so to saty focussed on one thing was a bit difficult.
Accomplishments that we're proud of
we've succesfully created our main startup base and are very excited to drop the iterations and the increments of this base very soon.
What we learned
we learned a lot about the web development especially the bootstrap, the js, css parts all amazed us to various extent. And lso the workshops were so amazing and full of practical knowledge that was the most which fascinated us.
What's next for Gaming Website
In this project, User can view various Game Details, filter the Games as per the requirement, they can even view job opportunities as well as C-19 Updates. We've embed data from a lot of places so that the website remains updated and user can rely on it.
we're also planning to integrate more and more things and also the online multiplayer like functionalities.
Novelties.
No prevailing website provides you gaming with knowledge, merchandise, books, latest news and much more integrations to be amazed of.
Team Partners
1.Shejan N. Virani Shzan_Virani#1140 :
www.shejanbro1.0@gmail.com
Huzefa Nalkheda wala Huzaifa525#4745 :
huzaifanalkheda@gmail.com
Shruti R. Patel Shruh(SU)_0711#5496 :
shruti07112000@gmail.com
##Mentor & Guide
Prof.Prashant V. Sahatiya :
PRASHANT.SAHATIYA270187@PARULUNIVERSITY.AC.IN
Built With
bootstrap
css3
html
javascript
jquery
Try it out
github.com | Multi-Utility Gaming Website | We've created a website where users can interact with our fascinating and also nostalgic online mini games, find out more about High End Online Games, Check for Work from Home Jobs and many more | ['Huzefa Nalkheda Wala', 'Shruti-0711 Patel', 'Shejan-7415 Virani'] | [] | ['bootstrap', 'css3', 'html', 'javascript', 'jquery'] | 27 |
10,312 | https://devpost.com/software/sofia-rd1z2i | Inspiration | woopz | none | ['Souvik Biswas'] | [] | [] | 28 |
10,312 | https://devpost.com/software/travelx-a-travel-companion-for-extra-safety | Inspiration
A problem faced by many families today is the routine grocery store trip, or the growing boredom and frustration with sitting at home. Although most people would like to go out, it is difficult to do so responsibly and safely. In order to help individuals and families make more educated decisions about when it is safe to go out, where they should go, and to make plans which do not require them to wait in long lines, face frustration with out-of-stock products, or return home due to unsafe conditions, we developed TravelX as a travel companion.
What it does
TravelX is intended to alleviate the stress of the COVID-19 experience. Fear of exposure during routine shopping trips or family outings is a serious concern for many families. In order to allow families to make more informed decisions about these trips, the developers have developed an algorithm based on published data which provides a metric for assessing risk using crowd reporting. Although it is by no means definitive, it can help to quantify the degree of risk individuals will be taking on in the hopes of reducing anxiety and encouraging better choices. With the additional information regarding crowd densities and weather, families and individuals can plan their trips to minimize potential exposures and minimize time spent waiting in line or looking for out-of-stock items.
How we built it
TravelX is a crowd reporting app which enables users to provide information that can help calculate their degree of risk. Data which is reported by the users includes use of face coverings, implementation of social distancing, the recommended COVID capacity of the location, and the actual crowd size at the location. These are factored into calculations which help inform other users' travel decisions with the aim of making the public more informed.
Using studies published in The Lancet, the probabilities of COVID transmission have been quantified in terms of face covering use and social distancing. Other studies have determined a rough correlation between density and number of deaths, so in the interests of being conservative for the purposes of maximum safety, these correlations have been carried over into the calculation. All of these pieces of data are factored into a score which is then place into one of five categories:
VERY LOW: You are safe, but make sure to wear a face covering and maintain appropriate distance. LOW: You are safe, but make sure to wear a face covering and maintain appropriate distance. MEDIUM: With appropriate face covering and social distance, you should be safe. HIGH: This location may be unsafe - consider returning at another time. VERY HIGH: This location is not safe or does not comply with suggested guidelines.
Users are also presented with information regarding how crowded their location of interest is, and how the crowd density changes over the course of the day. For stores and other establishments, users can also find out when they open and close. Finally, users can obtain weather information such as the temperature, expected weather conditions, and probability of precipitation for outdoor venues or events.
Data on fluctuations in crowd density and location data are obtained from the Google Maps API and the populartimes Github repository, as created by user m-wrzr. Data on weather conditions are collected using the latitude and longitude corresponding to the searched location, and are provided by the OpenWeather API. The server which hosts the necessary Python code and carries out the POST requests is hosted on AWS, with user authentication provided by Auth0.
Challenges we ran into
We struggled initially with generating graphs for the crowd density, and for setting up the login and logout functions with Auth0 due to difficulties configuring it with Flutter. However, we were able to find creative solutions to each using various libraries and plugins, and a great deal of trial and error.
Accomplishments that we're proud of
The formatting, font, and general aesthetic of the app makes it one of our more successful projects. Furthermore, the implementation and integration of the data from the various APIs cohesively ensured that all of the data needed to make appropriate and responsible decisions could be found in one place.
What we learned
We learned Flutter functionality, and the use of various APIs and JSON outputs to structure an application.
What's next for TravelX: A Travel Companion for Extra Safety
We were hoping to add functionality to store recent searches so that users do not have to repeat a search in order to find a destination, but were unable to carry it out. Furthermore, we would like to establish a system to allow store managers (who are verified) to self-report in order to provide more accurate information on crowd sizes and capacity rather than relying on customers to supply the initial values. Access to the latest coronavirus data within the app would also enable users to make more responsible decisions regarding interstate travel. We would also like to link comments with usernames, and to enable greater functionality for the comments by adding an upvote/downvote system.
Built With
amazon-web-services
auth0
flutter
flutter-appauth
flutter-simple-storage
flutter-spin-kit
google-geocoding
google-maps
python
simple-animations
Try it out
github.com | TravelX: A Travel Companion for Mindful Travel | TravelX is a tool intended to concentrate the information users need to make informed decisions in order to minimize their risk of COVID-19 infection and to minimize wait times and potential risks. | ['Varun Pai', 'Rohan Harish'] | [] | ['amazon-web-services', 'auth0', 'flutter', 'flutter-appauth', 'flutter-simple-storage', 'flutter-spin-kit', 'google-geocoding', 'google-maps', 'python', 'simple-animations'] | 29 |
10,312 | https://devpost.com/software/covid-security | Inspiration
I am inspired by the opportunity to develop something that will help people or companies to fight against covid 19 efficiently because my relatives go out to work and there is no control of people who can infect
What it does
with a mobile application with which people can identify themselves and give their temperature so they can know if they are healthy for access to a place like work or public place and a control panel with data of people who are with high temperature
How we built it
we all started to see what we knew and most of it was with javascript and ps we were divided in that we could do or experience something very fun
Challenges we ran into
one of the challenges was how to land the idea and take it to a simpler way and learn new technologies
Accomplishments that we're proud of
learning new technology and being able to work by learning as you go
What we learned
Gatsby
ionic
angular
What's next for Covid-Security
if you can try to implement it in public places such as parks or access to busy places to help people or businesses to not be infected because in Mexico where we are many people do not believe in the virus and go to the street with some temperature or infected and this would be the best way to avoid a massive spread
Built With
angular.js
css3
express.js
gatsby
ionic
javascript
material-ui
node.js
react
Try it out
github.com
github.com
github.com
www.figma.com | Covid-Security | It consists of a mobile application to check the temperature of the workers of a company or persons to avoid sources of contagion Besides them they will also take care of their families.Keep them safe | ['Daniel Valadez Frías', 'Luis Miguel Alamilla', 'Jose Adrian Valentin Rodriguez', 'Sergio Sosa'] | [] | ['angular.js', 'css3', 'express.js', 'gatsby', 'ionic', 'javascript', 'material-ui', 'node.js', 'react'] | 30 |
10,312 | https://devpost.com/software/send-virtual-hugs | Inspiration
Connecting with loved ones is so important, especially during a hard time like this. It's not just a "feel-good" kind of a thing. You and your loved ones will be happier and healthier by being connected. But what should we do if we cannot meet face to face to give hugs like we used to? When you are busy, it is hard to set a time to reach out to connect by phone, FaceTime, or Zoom.
What it does
SEND VIRTUAL HUGS! If you put down the contact information of your loved ones, we will help you to stay connected with them. Don't worry. We will make sure that their information is securely saved.
Social connectedness is often overlooked but is truly crucial in psychological health. Would you like to learn more about why being connected is important to you?
How we built it
We used NextJS, Vercel, Typescript, Styled-Components, and React-Hook-Form
Challenges we ran into
Doing everything remotely for the first hackathon.
Coming up with ideas and scope small enough to be able to get done within a constrained time
Accomplishments that we're proud of
We are happy that we could successfully provide feedback, which was the most critical part of our application idea.
What we learned
learned a lot about Auth0, Vercel, and NextJS
What's next for Send Virtual Hugs
We would like to add log in function as well as contact import. Log in function will enable users to keep track of their information. Also, contact import function will help users so that they don't have to type email address.
Built With
javascript
nextjs
react
react-hook-form
styled-components
typescript
vercel
Try it out
sendvirtualhugs.com
github.com | Send Virtual Hugs | Connecting with loved ones is so important, especially during a hard time like this. SEND VIRTUAL HUGS! put down the contact info of your loved ones, we will help you to stay connected with them. | ['Byungcheon Ko', 'yay-hyung Cho'] | [] | ['javascript', 'nextjs', 'react', 'react-hook-form', 'styled-components', 'typescript', 'vercel'] | 31 |
10,312 | https://devpost.com/software/charitypool | This shows the collection inside MongoDB which keeps track on the total money spent on each donation option and the completion of the goals.
The homepage of the website,
The checkout page when you click "Donate" on an item
Inspiration
Ethan and I are both part of a Performing Arts organization that had all of its performances canceled this summer, so we really wanted something that would help donors to remember that their donations affect real people and real things, hopefully, encouraging them to donate more. We thought about the idea of making donations tangible: what if you could purchase gift for your favorite nonprofit. That was how we came across this idea of having a store where you can purchase things for a charity.
What it does
This frontend allows nonprofits to use a Stripe account to create products or goals on a metaphorical wish list. These products will then be displayed for the donor to "purchase". When the donor makes the purchase the payments are handled securely by Stripe, and a notification is processed by our server, keeping a log in our databases progress towards goals and donor emails, so that thank you letters can be sent at a later date.
How We built it
We created a React-based frontend for Stripe, the payments processing company, so that a nonprofit can create "products" that they need. When a potential donator visits the site, they see a selection of "products" and can purchase one. These purchase buttons redirect to a Stripe-hosted Checkout page, so that Stripe securely processes all payment.
In order to keep track of these payments, we send information from new payments into MongoDB, which keeps a running total of the amount raised towards a specific goal, as well as the email addresses of those who donate.
The React frontend updates in real time based on information from the database.
We have the donor-facing "store" of our frontend, and we also wanted to add a private dashboard for the nonprofit manager. Using Auth0, we authenticate a user, allowing them into the private section of the app. Within this private segment, the user can see progress towards a goal.
Challenges We ran into
We jumped from tech to tech - we ended up trying out almost every sponsor of the hackathon. We started with Gatsby, taking the inspiration to use Stripe. We had to diagnose a ton of cryptic pythonAnywhere errors, and the docs for that are not very good.
Accomplishments that We're proud of
We came into this hackathon not really knowing very much. I've been studying computer science for about a year, but I only learned React for the first time like a month ago, and Ethan has only taken one computer science class. So we came into this weekend just hoping to learn a lot - which we definitely did.
I wasn't really expecting to have a product that's working at this level or at this level of complexity at all. I did not know how to set up a flask server; I didn't know that react could talk to a flask server; and I really had no idea how to deploy an app.
We experimented with Gatsby and Vercel and also looked into different services like AWS elastic Beanstalk or digital oceans hosting services. We just ended up learning a lot about what's out there and I'm really really happy that we've created something so, for beginners.
What I learned
I learned that it is really fun to just think about ideas and try to build them. I have a lot of ideas for things but often times I get bogged down in a struggles with planning or deployment. I found that it was fun to just try out lots of different things and to work with a great partner.
What's next for CharityPool
I hope that we will be able to diagnose a lot of the errors that we're currently seeing. We've had the app in various stages of working andright now it's not working at 100% of what we would like, but I really hope to add an email send service and just make the front end a little bit more reliable.
Built With
flask
javascript
mongodb
python
pythonanywhere
react
stripe
Try it out
ethanmasters.pythonanywhere.com | CharityPool | Make donating tangible: encourage donors to "buy products" for your nonprofit | ['Hannah Cussen', 'Ethan Masters'] | [] | ['flask', 'javascript', 'mongodb', 'python', 'pythonanywhere', 'react', 'stripe'] | 32 |
10,312 | https://devpost.com/software/team-cipher-eghxk2 | create a job part 1
enter password
login
search jobs
Main page / landing page
My jobs , edit them , delete them
create job part 2
verify-otp (removed this)
register
Inspiration
After covid world , people will be looking for jobs and would to get a job without searching / visiting places.
What it does
We have designed an android app that can be used to help job seekers to find jobs in remote locations. In the after COVID world where contacting with other folks will still be dangerous , It will be hard to find jobs for people.
Challenges I ran into
Alot of challenges actually . Mostly there was less time.
Accomplishments that I'm proud of
What I learned
What's next for Team-cipher
Built With
flutter
java
postgre
sping
Try it out
github.com | Team-cipher | Team-cipher | ['Pranay Singh`', 'shubham asati', 'shashanksoni27 Soni', 'Garikina Monesh Kumar'] | [] | ['flutter', 'java', 'postgre', 'sping'] | 33 |
10,312 | https://devpost.com/software/d-qf4miw | Inspiration
I was inspired to make this website because I have a close friend that is a high risk individual and his whole family is high risk so they rarely ever leave the house. I know in the future this is not sustainable and eventually you will have to leave your home. So this website is great for high risk individuals looking to shop or even apply at a company. They get to see what kind of guidelines and restrictions the company has in place so that they know where is the safest place to go shop at or work at.
What it does
The app lets you view companies and their COVID-19 guidelines and restrictions so that you can make the choice to support them or boycott them. Also if you are a company you can post your own company on the website and to show people your guidelines and restrictions.
How we built it
We started with the back-end so that we can have data to pull from when we start building the website. We used NodeJS and a SQlite3 database. There are two simple requests. A get to receive a list of all the companies and a post to post your own company. We then created a react app and used tailwindCSS to style the website and axios to fetch the list of data and to display the data using props. There are three pages. Landing page, company list page, and register company page. Zach Coleman was in charge of designing the website and Muamer Kukic created the website.
Challenges we ran into
We ran into a lot of challenges early on because Zach was extremely busy but was able to get a nice layout of how he wanted the website to look and Muamer Kukic was in charge of creating the website as close to as he could. Also setting up Tailwind was a pain as it as my first time ever using Tailwindcss. The biggest challenge we faced was deciding on how the register page should look. We ended up going with radio buttons as it looked the cleanest and was easiest to work with.
It may take a second to load when you click on the companies list because the backend is hosted on heroku.
Accomplishments that we're proud of
We are extremely proud of how responsive the website is. It looks great on mobile phones/tablets/desktop and the animations are extremely smooth. We also like the look of the emojis on the website because it gives it a more upbeat feel.
What we learned
TailwindCSS is the best library for styling. It is extremely easy to use and it makes it extremely responsive. Also creating tables with booleans. It wasn't difficult but it was the first time I used booleans for something like this and it was quite fun and I have new ideas on what to make now.
What's next for Covid Compromise
There is a lot coming for Covid Compromise. Firstly I would like to implement a search bar on the company page so that you can search for a specific company. Once you click on a card I would like for it to take you to that companies website. Also down the line I would like to add accounts to register with different permissions. A basic account just the view companies and to be able to favorite your favorite companies and save it to your account. Also a CEO account with special permissions to post a company.
Built With
aos
axios
cors
express.js
node.js
react
sqlite
tailwindcss
Try it out
covid-solutions-fe.vercel.app
github.com
github.com
covid-comprimise.herokuapp.com | Covid Compromise | We have an obligation to our future if we want it to get any better. Find and search for what companies you would like to support based on their COVID-19 guidelines and restrictions. | ['Jacob Martinez', 'Muamer Kukic'] | [] | ['aos', 'axios', 'cors', 'express.js', 'node.js', 'react', 'sqlite', 'tailwindcss'] | 34 |
10,312 | https://devpost.com/software/homescholar | Github Link
https://github.com/StevenPackard/HomeScholar
Inspiration
The Covid-19 pandemic has put the parents and their children in a precarious position. This is especially true when it comes to education. Parents are nervous about exposing their children to possible infection. At the same time, they are concerned about hindering their children's learning. This is problematic with local schools failing to meet the virtual needs of their students. Parents are facing the struggle of keeping their children safe while continuing their education.
What it does
HomeScholar is an assignment manager and scheduler as well as a homeschooling event organizing and social media web application.
There are two main functions of the site. The first function is the assignment management and scheduling functionality. Users can create profiles for their students and add assignments to each student’s profile. Assignments can be scheduled using the calendar tool inside the calendar page. Details for each student can be accessed by clicking on the student’s name.
The second main function is the social media and event organizing functionality. Users can create posts that are added to the main social page on HomeScholar. These can simply be an opportunity to engage the community in a conversation in which other users can comment in real time on the post. Or the post can be an event announcement in which other users can add to their personal calendar page.
How I built it
The HomeScholar team is a group of boot camp grads and friends. We built this project with ingenuity and perseverance.
Challenges I ran into
Reading through library documentation and learning to implement third party libraries
Accomplishments that I'm proud of
The web application came to fruition in nearly the way we envisioned.
What I learned
We learned how to overcome third party documentation limitations, work on a team remotely, and troubleshoot differences in development environments.
What's next for HomeScholar
Feature development including reading lists and barcode scanning, recurring events, adding friends and following, adding teacher/parent and student accounts
Built With
auth0
axios
bootstrap
coors
css3
express.js
fullcalendar
helmet
html5
javascript
moment.js
mongodb
mongoose
node.js
socket.io
sweetalerts
vue
vue-html-to-paper
vue-router
vue-tour
vuex
Try it out
homescholar.herokuapp.com | HomeScholar | HomeScholar is an assignment manager and scheduler as well as a homeschooling event organizing and social media web application. | ['Steven Packard', 'Justin', 'christopherfelt Felt', 'Troy Fuhriman'] | [] | ['auth0', 'axios', 'bootstrap', 'coors', 'css3', 'express.js', 'fullcalendar', 'helmet', 'html5', 'javascript', 'moment.js', 'mongodb', 'mongoose', 'node.js', 'socket.io', 'sweetalerts', 'vue', 'vue-html-to-paper', 'vue-router', 'vue-tour', 'vuex'] | 35 |
10,312 | https://devpost.com/software/my-self-distancing-diary | Main
About
How
Self-Distancing Diary
Inspiration
Many of our friends and family members wanted to get a help from mental health experts but was not able to do so due to increased number of patients. We wanted to make an application to help anybody who needs research-based self-care.
What it does
Our app will guide users to practice self-distanced writing by giving feedback to their submission. It will make sure the users do correct self-distancing so that they can get the benefit of it (i.e., 1) increased emotional control 2) decreased inter-personal conflict 3) increased problem-solving).
How we built it
We used NextJS, Vercel, Typescript, Styled-Components, and React-Hook-Form
Challenges we ran into
Doing everything remotely for the first hackathon.
Coming up with ideas and scope small enough to be able to get done within a constrained time
Accomplishments that we're proud of
We are happy that we could successfully provide feedback, which was the most critical part of our application idea.
What we learned
learned a lot about Auth0, Vercel, and NextJS
What's next for My Self Distancing Diary
We would like to add log in function as well as data visualization function. Log in function will enable users to keep track of their diary. Also, the data visualization function will summarize the common themes or emotions that are mentioned in the writing. I think it will be even better to show the users their change in their write-ups as they are engaging in self-distancing.
Built With
javascript
nextjs
react
react-hook-form
styled-components
typescript
vercel
Try it out
myselfdistancingdiary.com
github.com | My Self Distancing Diary | We made a solution for mental health care after COVID 19, called ‘my self-distancing diary’. It’s a research-based diary application proven to help with depression and anxiety. | ['Byungcheon Ko', 'yay-hyung Cho'] | [] | ['javascript', 'nextjs', 'react', 'react-hook-form', 'styled-components', 'typescript', 'vercel'] | 36 |
10,312 | https://devpost.com/software/sglg-communications-covid-19-chat-react-module | Current version of the UI!
Old version of the UI!
Inspiration
We both needed a team and we met up through the #available slack channel and took it from there! We wanted to make something chat-based, reusable, and good looking! Our color palette is actually inspired by a work of art made by SG :)
What it does
Add this react component to your React.js project by importing it from npm, and let your users ask questions to interact with facts and up-to-date statistics about COVID-19
How we built it
We started with a brainstorming and coding session, then some independent work, and some more remote pair programming. We collaborated mostly in our team slack channel.
Challenges we ran into
For a while we were trying to connect to a mongodb atlas from the frontend, which is impossible- we would have needed a server, and we wanted an entirely frontend component. So we pivoted to using an API for COVID-19 statistics instead
Accomplishments that we're proud of
It looks really good! It was a lot of work and tuning to get the nice touches like "autoscroll to bottom" working.
Also our communication within the team was very good, especially for people who just met!
What we learned
Lots about how to make a react module! Some new stats about COVID-19 in countries provided by the API that I wouldn't have otherwise looked up. How to make "autoscroll to bottom" work better to not ignore the last message shown! More about CORS. Storybook.js is great for local viewing of individual components being built!
What's next for sglg-communications covid-19 chat react module
More auth0 integration, migrating to the mongodb atlas COVID-19 dataset, migrating the deploy to Vercel :)
Built With
auth0
covid19api
materialui
netlify
react
Try it out
sglg-demo.netlify.app | sglg-communications covid-19 chat react module | sglg-communications is a colorful component which provides element Chat in which a user can query COVID-19 facts. It is deployed at https://sglg-demo.netlify.appThanks, Summer and LG | ['LG CW', 'srgautier Gautier', 'Summer Gautier'] | [] | ['auth0', 'covid19api', 'materialui', 'netlify', 'react'] | 37 |
10,312 | https://devpost.com/software/missyou | Inspiration
Photos may get lost, stories can be forgotten, memorials will fade with years. Today, everyone can use the Internet to create an online memorial page and share memories, photos and other media with one another. With an online memorial site, dedicated to the lives of those we love and now have lost, would help to bring families together. These memorial websites would also help our children learn about the lives of their ancestors and preserve memories of them. And so, we launched missYou,
What it does
missYou is a place where people could create a free online memorial to collect and share memories of the people they have lost.
Here's why:
You should gather friends & family after the death of a loved one to support each other and celebrate their life forever
Our goal is to gather family and friends after the loss of a loved one to support each other and celebrate their life together.
How we built it
We built this platform using Auth0 with passport integration for authentication at the backend which was written in node.js. Hosting of the backend was done using Azure app service, the front end of the platform was built using Vuejs and flutterwave payment gateway for accepting donations, Vercel platform was used to host the front end.
Accomplishments that we're proud of
During the development process, we learnt how to integrate auth0 with passport.js, host a website using Azure's app service and also integrate a payment gateway platform for accepting donations.
Challenges we ran into
Working remotely is something we had to learn and utilize during this hackathon since we as a team lived in different locations. It was also a little bit difficult to host in Azure earlier on due to some errors in configuration. But I'm glad we learned in the process
What's next for missYou
Currently, our integration of the payment gateway platform was done using the sandbox mode . So all payments on our platform can only be done using the test based ATM cards. We hope to fully migrate to the main version of flutterwave once we move to production.
Built With
an
auth0
azure
best-readme-template
choose
cloudinary
img
license
moment.js
mongodb
open
shields
source
vercel
Try it out
missyou-eta.vercel.app
github.com | missYou | The haven for preserving memories and tributes of loved ones | ['Samson Amaugo', 'Candor Dennis', 'Iroleh Vincent Nwachukwu', 'Ezema Ikechukwu Davis'] | [] | ['an', 'auth0', 'azure', 'best-readme-template', 'choose', 'cloudinary', 'img', 'license', 'moment.js', 'mongodb', 'open', 'shields', 'source', 'vercel'] | 38 |
10,312 | https://devpost.com/software/co-vent | Inspiration
A lot of my friends were organizing virtual events for various hangouts, such as Bible study, workout sessions, and game nights and etc. It was confusing because I had to keep track of so many zoom and google meet links, and the event scheduling was made through various platforms such as slack, groupme, facebook, and etc. I wanted a platform that could congregate all my events and scheduling details without having to keep track of all of the links. I thought of making Co-vent as a solution to that problem.
What it does
Co-vent is basically a social networking platform that keeps track of your events and video call details. You can create events, message your friends, make friend requests, attend events and keep track of your events and friends in one platform. This app's features were built around our core database collections, the users and events. We decided to implement messages and friend requests, to create interactions between users inspired by social media apps.
How we built it
We used React with Axios and Router on the front end, and Node/Express on the backend with MongoDB as our database, stored on Mongo Atlas.
Challenges we ran into
We faced a major challenge in creating our authentication system. We created a backend system that checks logins using username and password, and sends a JWT back to the front end. We integrated a React Facebook authentication system by using Facebook data to create the username, name and password to our signup system. This avoids having our backend having to also authenticate Facebook's JWT tokens while creating a user entry in our existing database.
Accomplishments that we're proud of
We are proud of overcoming our major challenges. We overcame the challenge of having both Facebook authentication and regular authentication work on our back end and having them combine with our user database. We're also proud of making a working messaging system where we had an inbox and an outbox of messages, as well as the friend request system we build where we could request and accept friend requests.
What we learned
We learned how to write a friend request system using Mongo and how to set up a Facebook authentication system on our site, how to send Facebook's JWT tokens to the back end. We also learned how to set up a messaging system and how to write it on our backend. We learned how to enable attendance of events functionality on our back end. I didn't know that much Mongo before this project, but I worked with my partner and learned how to build functionality for the complex messaging and friend request systems, and I build the attend event function on the back end.
What's next for Co-vent
Simpler steps are implementing full crud for events (including update and delete), unfriending people on our friend system, and cancellation of attendance of events. Larger steps are real time messaging with socket.io, better event organization tools, integrate google hangouts or another video link system into our app seamlessly, or creating our own video call system with socket.io.
Built With
express.js
mongodb
mongoose
node.js
react
Try it out
github.com
co-vent.surge.sh | Co-vent | Co-vent is a social networking platform that brings people with common interests together and organizes virtual events for people and their friends to attend. | ['drewhsu86 Hsu', 'Shirley Xu'] | [] | ['express.js', 'mongodb', 'mongoose', 'node.js', 'react'] | 39 |
10,312 | https://devpost.com/software/test-4xnft5 | The Problem
At the start of COVID-19, there was a shortage of essential supplies such as masks, hand sanitizers, and even toilet paper. Although many community leaders and nonprofits led the way through donations, the process of this distribution chain can be confusing, disorganized, and slow. Often, individuals in need may rely on donations from organizations, and then that organization relies on donations from another individual and so on. The inefficiencies of this distribution chain leaves holes where some people lack supplies they desperately need while others have too much of that same item.
Inspiration
We want to fill this gap created by bureaucratic inefficiencies by enabling direct donations and requests between individuals. There are a lot of kindhearted people, especially during quarantine, contributing to others in need. We have each worked alongside such people who sew masks at home, donate gear to hospitals, and volunteer at homeless shelters (even before COVID-19). As a team of students who have had hands on experience helping our workers on the front-lines of the pandemic, we believe that essential goods are basic necessities, and that everyone is entitled to them regardless of their background, views, or socioeconomic status.
Our Vision
In order to reach more people in need, we decided to create a platform for donating essential goods that simplifies the process of giving. The goal of Supply is to be able to flawlessly connect voluntary donors to people (or organizations) that are in need of specific supplies. With this user-friendly app, we encourage users to give to others by showing them just how easy it is to donate, and to therefore increase the supply of essential products for those who need them.
How It Works
We wanted Supply to be clear and easy to navigate. So, it has four main screens (functions) accessible from the bottom navigation bar: Home, Create a Listing, Notifications & Messages, and Profile.
Home: On the home page, users can search for an essential product by using the search bar and/or choosing its respective category. To make it simple, we have five categories that an essential good can belong in: Medical, Hygiene, Water, Food, Clothing. Then, users can view posts of donors and requesters of that item. If they are interested in donating or requesting, they will be able to view more by just tapping on the post.
Create a Listing: Users can create a post as a donor or requester. Donors can post a picture, write a description, and set a time for when the item needs to be donated on the donor listing page. On the requester listing, requesters can post what item they need, the quantity of the item, and whether they can pick up the item.
Notifications/Messages: Users can accept or decline requests and donations in the notifications, as well as open or delete messages. The purpose of messages is to give an extra layer of clarification between donors and requesters.
Profile: On their profile page, users can view their current listings and their upcoming requests or donations that they have already agreed to.
Our Design
The logo of Supply was inspired by a price tag to signify the exchange of goods. However, instead of a cash symbol, we centered our design and logo around hearts to symbolize kindness, since donations stem from the heart. The string going through the tag also doubles as “S.”, which is short for Supply For our color scheme, we chose a color palette revolving around a pastel grey-purple (#DBCBD8) as it is a soft and warm color.
How we built it
We first used Figma to prototype the application and figure out what we wanted the application to look like to the end user. Based on these designs, we coded the application in Xcode using SwiftUI to power the backend logic and designs.
Challenges we ran into
Many of our challenges came from learning how to use SwiftUI and trying to untangle ourselves from merge conflicts.
(Just for context, UIKit is an older UI toolkit for iOS apps. At WWDC 2019, Apple introduced SwiftUI which is a newer UI toolkit based on declarative programming)
When we started the project, we decided to use UIKit to create our app since we were more familiar with the framework. However, due to UIKit’s API complexity, we ended up with several code conflict problems in git and created an even bigger problem for ourselves after a series of unsuccessful merges and checkouts.
We realized that we were heading into a dead end, and that SwiftUI’s simpler interface would help alleviate our problems. We took about 5 hours to speedrun through SwiftUI tutorials and get as familiar as we could with this new framework. We recreated the project in SwiftUI and even figured out how to recycle our UIKit code in combination with our new SwiftUI setup.
Accomplishments that we're proud of
Designing and prototyping our entire app interface on Figma to guide software development
Using Swift and Xcode to create an iOS application
Learning the SwiftUI framework
Solving the problems we faced regarding git and UI
Using React to build a landing page to promote our project
What we learned
We learned how to prototype our designs/ideas in Figma
We learned how to build iOS apps using the Swift UI framework
We learned how to create a landing page using React
What's next for Supply
Continue improving the UI and fleshing out more features in the backend
Built With
figma
github
react
swift
swiftui
uikit
vercel
xcode
Try it out
supply-website.vercel.app
github.com
www.figma.com | Supply | Donate and request essential items from your local community! | ['Joseph Yeh', 'Malia Jiang', 'Lewana Su', 'Michael Zhu'] | [] | ['figma', 'github', 'react', 'swift', 'swiftui', 'uikit', 'vercel', 'xcode'] | 40 |
10,312 | https://devpost.com/software/recent-ly | Fine grain control on what you see
Control the size and opacity of your tweet deck
Get realtime tweets from the hashtags you select
Catch new music premiers and the reaction on social media live
Inspiration
We've all been there - watching a live stream, premiere of a music video or breaking news on one screen with your phone in hand checking the live reaction on your timeline. Weather we we like it or not this is how we connect these days. Recent.ly helps to connect these two worlds - we provide a realtime feed of shows + your social feed in one place.
What it does
We allow you to watch live streams and shows while staying connected to your timeline.
Recent.ly tailors the viewing experience so you can hide tweets at anytime, focus on specific trends
We also customize the feed so you can place the social feed exactly where you want it on the screen - we even have an option to increase or lower the transparency of the tweets and the size of the feed to what works for you.
How I built it
We started Recent.ly by building the frontend and then connecting that to the Twitter API in real-time
Challenges I ran into
Implementing certain functionality took longer than expected.
Accomplishments that I'm proud of
We got a working product out.
What I learned
Learnt a lot of React and usage of the Twitter API
What's next for Recent.ly
Adding more features - like allowing users to save customized settings server side.
Releasing a beta version,
We currently only support YouTube in the future we wanna support more video hosting and streaming platforms.
Built With
amazon-web-services
express.js
javascript
node.js
python
react
twitter
Try it out
recently-demo.surge.sh | Recent.ly | Your shows and your social feed in one place! | ['Khanyi Yaya'] | [] | ['amazon-web-services', 'express.js', 'javascript', 'node.js', 'python', 'react', 'twitter'] | 41 |
10,312 | https://devpost.com/software/covid-blog | tEaMnEw
Inspiration
I myself faced a lot of difficulties while getting the information about the COVID-19 where the fake impressions were said in social network and electronic media were wrong and fake, so I thought of creating a blog site and make it an independent for this situation to stick on giving the updates about COVID-19 and make people aware of all updates about medicine etc...,
What it does
The application's basic plot in this hackathon was to help the people to have a single base of knowing how to be healthy , prevention of the disease, Some COVID-19 cured patients Experience and Mind relaxing health-related blogs.
How I built it
I built the web application with the help of PHP , Mysql(PHPMYADMIN), HTML, CSS, Jquery.
Challenges I ran into
Was a bit difficult in learning auth0 linking for signing into the app, Deployment in the cloud was also difficult for me in linking an instance for application in AWS cloud and the PHP Challenges were all cleared by StackOverflow
Accomplishments that I'm proud of
I was able to deploy a full-fledged web application with authentication and happy that I was able to recall all my college subject and put in a project.
What I learned
AWS Elastic From mentor but was unable to deploy and learnt more about PHP and Mysql
What's next for COVID-Blog
we are planning to implement a machine learning model where we could ask a question before writing the blog or reading the blog so that they get the featured and relative blogs even if this COVID situation is moved up.
as we cannot expect the COVID to stay longer time but this can make people reading experience easy and beautiful.
sorry
we were unable to deploy on the cloud so we have successfully created a model of it on GitHub pages with some actions using only the HTML, CSS, JS
and this is our first-time hackathon and the experience was awesome and support from a mentor and the organizing team was great.
Built With
auth0
css
html
javascript
jquery
mysql
php
phpmyadmin
Try it out
github.com
vish2476.github.io | Covid-Blog | This is a platform created by us to make sure every struggle during this pandemic is being heard to the people. in a single blog postand we are presenting our beautiful concept auth0 Hackathon | ['Vishnu basskar', 'Yogesh H R', 'vismaya s'] | [] | ['auth0', 'css', 'html', 'javascript', 'jquery', 'mysql', 'php', 'phpmyadmin'] | 42 |
10,312 | https://devpost.com/software/nomad-m7i0he | Splash view
Coworker: Spaces list
Coworker: Visits availables
Coworking Manager: Check-in confirmed
Coworking Manager: Check-in validator
Coworker: Credential
Coworker: Space details
Coworker: Plans view
Coworking Manager: Space details
Coworker: Space details
Inspiration
I used to run an office where different companies that I've cofounded were working from, sort of coworking. In a second stage, we open doors to external companies and start discovering the office space business.
I discover how idle capacity and fix costs were a big part of the equation, and started considering that there was an opportunity for a twitch.
While traveling and moving from bar to bar, that twitch became an idea: the flexibility provided by these open spaces was not enough for coworkers, and there should be a way to better deal with idle capacity.
What it does
Nomad gives users an alternative to a fix and unique coworking space, offering the option to work from any space part of our network, while giving coworking a great tool to maximize their utilization.
How I built it
While running the office as a coworking, we start building alliances with others spaces, so that our coworkers would have an office space in other cities. We used to manage all that through phone calls, emails, whatsapp messages, bank transfers and using calendar to know other space's availability.
That's when we define the process and validate the product/market fit. What came after that, was sitting with my partners and start designing a software platform to support that operation and provide users with a user friendly app from where they could choose the space that would best suit their needs.
Challenges I ran into
The main challenge was getting coworkings to understand the concept, but we overcame that by creating a web platform from where they were able to publish their spaces in exchange of a commission. In that same website we start promoting Nomad as an option instead of signing a contract for a single space. They started asking us to be part of it.
Accomplishments that I'm proud of
We are proud of having built an MVP in less than 4 weeks, which wouldn't have been possible without the help of our tech companions: made2, now cofounders at Nomad.
We are also proud of the way we found to auto-convince coworking to be part of the network, in such a way, they started asking for it: simply showing them the opportunity and filling the need, instead of trying to position the offer.
What I learned
COVID was an opportunity to accelerate culturing process of the population, at least in LATAM.
What's next for Nomad
We want to extend our network of coworkings, launch second version of Nomad and do not take too long to start operating in other countries. For Nomad, geography, market size, culture or language is not a limitation whatsoever.
Built With
admin-bro
amazon-web-services
auth0
express.js
node.js
react-native
Try it out
install.appcenter.ms | Nomad | Nomad changes the way people use and seize office spaces, while helping coworkings and other spaces types optimizing their idle capacity | ['Rafael Del Corro', 'Walter Agustin Campos', 'Franco Fadini'] | [] | ['admin-bro', 'amazon-web-services', 'auth0', 'express.js', 'node.js', 'react-native'] | 43 |
10,312 | https://devpost.com/software/peace-k5m3ba | HOMEPAGE_Desktop
HOMEPAGE_Mobile
IMMEDIATE HELP_Desktop
IMMEDIATE HELP_Mobile
SETUP CONTACTS_Desktop
SETUP CONTACTS_Mobile
SETUP FINISH_Desktop
SETUP FINISH_Mobile
DISGUISE PAGE_Desktop
DISGUISE PAGE_Mobile
LOGIN_Mobile
LOGIN_Desktop
LOGIN CONFIRMATION_Mobile
LOGIN CONFIRMATION_Desktop
Inspiration
Our Google Slides Presentation:
https://docs.google.com/presentation/d/1D8tGQeYkNudjROuEeUShTASFrXeh3ra13gQ26qsrlgo/edit?usp=sharing
There has been a significant increase in domestic violence since the COVID-19 pandemic. Shelters that house the victims are at capacity and the social workers that keep track of the victims and their children are stretched thin. Even after COVID-19 and shelter-in-place ends, the survivors will generally stay at the shelter from 6 months up to 1 year. And there are more survivors who will need shelter.
Domestic violence is the leading cause of homelessness for women and children. Securing an emergency shelter is the lifeline for many survivors.
This will always be an important issue before, during, and after COVID-19.
What it does
Peace is a website designed to help survivors get immediate access to local shelters and contact loved ones discreetly about being in a dangerous situation without leaving a record on their own phones.
How we built it
Designed prototypes and mock-ups on Figma
Deployed the Gatsby front-end to Vercel and the Node.js/Express server to DigitalOcean
Twilio's API used to message emergency contacts
PostgreSQL used to locally store collected domestic violence resource information
Challenges we ran into
Unsure about interviewing domestic violence survivors during a short amount of time.
Too many edge cases with the behavior of the abuser.
If the victim doesn’t have a credit card or any form of payment, how will they pay for a temporary reprieve (hotel, airbnb, etc.) if shelters are at max capacity?
How can we help non tech-savvy users get help (legal or otherwise) during a time of quarantine, as well as without being monitored by their abuser?
How to quickly connect the survivor to a local shelter, since the operations and information about that shelter are not public knowledge (a social worker must connect the survivor).
How to keep user information safe and confidential.
How to hide the search history/erase records of searching for help.
Accomplishments that we're proud of
Working together as a team for something we believe in.
What we learned
Creating Accessibility
Financial constraints
Protection of the User
Current issues survivors are going through (technology issues, accessibility issues, record keeping issues) when trying to get legal help, due to COVID and quarantine
Using Gatsby to build the front-end
Using PostgreSQL for the database
What's next for Peace
Booking hotels for DV survivors escaping their homes as a temporary reprieve, especially if all nearby shelters are at capacity.
Connecting the survivor with a lawyer and knowing their legal rights.
Localization features: changing language packs based on the user's preferred language.
Creating a financial planner page to assist in the survivor's safety planning.
Expanding the database to include international resources.
Adding more disguise pages to the website to cycle through.
Including a panic button, which immediately notifies a social worker or the authorities.
Built With
auth0
digitalocean
express.js
gatsby
hasura
heroku
javascript
node.js
postgresql
react
twilio
vercel
Try it out
phoenix-seven.vercel.app | Peace | Helping domestic violence survivors. | ['Linden Chiu', 'Alexa Wang', 'Melody Liu'] | [] | ['auth0', 'digitalocean', 'express.js', 'gatsby', 'hasura', 'heroku', 'javascript', 'node.js', 'postgresql', 'react', 'twilio', 'vercel'] | 44 |
10,312 | https://devpost.com/software/cubite-learning-management-system | Login Registration Hero
Courses Catalog
Registration Page
Login Page
Course Video
Course Progress
Course Outline
Course Unit
Enrolled Courses List
Inspiration
Because of Covid-19, we are seeing schools, universities, educational institutes changing from in-person model to 100% online education. Also, companies are using e-learning instead of having in-person workshops but there are not too many learning management systems out there that are modern and can address all the needs a school, university or company can have for distance learning. We have worked with an open-source learning management system called OpenEDX for around 7 years and we believe it's one of the best e-learning systems out there but it has it's own shortcomings too. Our project focused on improving OpenEDX to provide a high-quality learning experience for the users. Our improvement includes replacing OpenEDX frontend system which is outdated with a modern system using Vercel and NextJS and also improve Security and customize login and registration using Auth0.
Before this hackathon, we already did an integration between OpenEDX and Auth0 in a project and saw how Auth0 can provide more than what we needed. This experience inspired us to do this hackathon to show how we can replace out of box OpenEDX Auth with something better aka Auth0 and also wanted to show how Vercel and NextJS can replace Monolith platforms Frontend to provide modern UI and great performance. By this improvement, we can make the learning experience more modern, enjoyable, accessible and also secure for students all around the world
We love to provide a high-quality e-learning system for everyone all around the world and help students keep learning and protect themselves from Covid-19 by continuing learning from home
What it does
As mentioned in the section before this LMS is built on top of OpenEDX, an open-source learning system developed by MIT and Harvard. but this LMS has the following problems:
Front End system:
it's not using modern approaches like Pre-rendering and Server-side Rendering, That's why site performance is low and also we can't introduce PWA (progressive web application) practices like offline functionality.
Any new changes in Front End need technical knowledge (even for changing a text, logo picture, etc), You have to compile all the front end assets in the server (it takes ~30 mins) and restart services. a lot of headaches and wasted time for the developer.
When you upgrade to a new version of OpenEDX you have to redo all the theming work you have done to adopt the existing themes to a new version of the platform.
Authentication:
Adding new fields to the registration form is so painful, you have to install extra Django app, customize it, and maintain it for the future versions.
You can't customize registration and login. for example, you can't add progressive profiling when a user signs up, or create a Marketo lead when user registers, merging users profile if they are using the same email address and so on.
You can't prevent using a breached password, detect brute force attack, customizing password reset workflow, and customize signup, password reset emails.
Add multiple languages to the login and registration forms.
Our project solves all these problems and here is how:
FrontEnd System:
https://drive.google.com/file/d/15QTnqwKIfLr26RU756uzjx06Ex4ankCF/view
By using NextJs and host it on Vercel we improved performance with Pre-rendering and our pre-rendered assets are hosted in Vercel Edge.
We are developing integration with Strapi to have CMS for your front-end to make changes like adding a new page, changing a text, picture, and colors easier for non-technical staff users.
Having the platform hosted on Vercel, every new commit to our repo gets deployed automatically and doesn't need developer time to compile assets and deploy the change to the server.
Front End lives outside of Monolith (OpenEDX) then it doesn't depend on the OpenEDX version and doesn't need any extra work if you upgrade your OpenEDX to the next version. the result is you don't need to take your whole site down for a couple of hours during the upgrade and you don't need your developers to spend a couple of weeks to adopt an existing theme to the next version of OpenEDX.
We integrated our Platform to Auth0 and it solves all login and registration issues
https://drive.google.com/file/d/1orZO1AyHPS3FmSExXnJGOb8Q_Agmei5E/view
Adding a new field to the registration form is as easy as one line of code in universal login settings of your Auth0 tenant, no need to install another Django app, maintain and upgrade it.
Auth0 supports multi-languages.
Auth0 notify your tenant admin if a user used a breached password and detect a brute force attack.
We are using Auth0 to provide social logins with Google, Github, Facebook, etc.
Auth0 Rules provide a great way to customize the login and registration workflow. You can add new signed up users as a lead to your Marketing system, make integration to your slack channel on user login and signup, add progressive profiling if you want to ask the user for extra info after signup
How we built it
Please see this Diagram
https://i.ibb.co/LkPZCrT/diagram.png
In summary, we took Frontend and Auth system of a monolith out of its box and put it somewhere else by using Auth0, Vercel, and NextJS
If you want to learn more please watch
https://drive.google.com/file/d/1GlgqDyMHAnv3GaQHgqbB1Y2yF-FR93y7/view
Challenges we ran into
Proxy and reverse proxy between Monolith and our frontend was challenging but it's working now
Accomplishments that we are proud of
The whole integration worked well and with some small changes it can be production-ready
What we learned
We did an investigation about Auth0, read great docs and could accomplish this integration by enabling SAML in my system and hook it to Auth0
Did learn more about Vercel and hosting a Frontend there and hook it to a monolith system like OpenEDX
What's next for Cubite Learning Management System
We only replaced OpenEDX Courses Catalog and Index page with Nextjs and Vercel our plan is to replace whole frontend and UI with a frontend powered by NextJS and hosted in Vercel
We are going to integrate our system with Strapi to provide better CMS for school staff and admin users
In the near future (~6 months) this project will become a SaaS platform with a really accessible price for universities and Schooles.
If we win the first place or second place of this hackathon we do the implementation of our LMS free of charge for 2 NGOs or Schools (Chosen by Hackathon judges or us)
Built With
amazon-web-services
auth0
django
javascript
nextjs
openedx
python
react
vercel
Try it out
staging.cubite.dev
studio.cubite.dev | Cubite Learning Management System | Scalable learning software technology with high performance and rich user experience in mind powered by Vercel, NextJS, Auth0, React and OpenEDX | ['Kerly Pesantes'] | [] | ['amazon-web-services', 'auth0', 'django', 'javascript', 'nextjs', 'openedx', 'python', 'react', 'vercel'] | 45 |
10,312 | https://devpost.com/software/auth0-team-chat | Inspiration
Team Chat Apps was Designed for connecting Family Members, Teams, Groups Collaborations, Businesses, Doctors and Patients etc. working on a Project, Task, Issues etc.
Just You and your Loved ones. Just You and your Teams only. No 3rd Party eavesdropping.
Features/What It Does:
1.) Send and Share Text Messages
2.) Send and Share Files
3.) Send and Share Youtube Videos
4.) Sound Notifications on New Message arrival
5.) Typing Notifications as your Team Members Types
6.) Online Team Members Counts
7.) Online Team Members Presence indicator and More
8.) Ability to Share and Invite Your Team Members to Collaborate via Your Invitation Links
9.) Ability to manage your Team members via banning/un-banning any offended members
10.) Only You (The ChatRoom/Channel Creator and your invited Team Members can access your chatroom channels)
How To Use this App
Its Just simple. Just Login using Auth0 Secured API, Create your Discussion Chat Room.Once that is done, Application will
ask you to click continue button and this will then redirect you back to login page to complete the setup. You can then Login back and starts using the app.
Next as Admin(ChatRoom/Channel Creator), You can send your Chatroom/channels Invitation Links to whom-ever that you want to collaborate with. You can share your invitation Links through any means eg by Email. An Invitee(your invited Member) will click on that Invitation Link to get on board to your Discussion Channel/Chatroom via Auth0 API Authentications. No further signup is required just the Auth0 Login from the Invitation page.
As Admin, you can easily manage your Team Members by banning/un-banning offended members.
Technologies Used to build this App
Below are list of Technologies Integrated into the app:
1.) Auth0 Login API
2.) Microsoft Azure Hosting for Remote Sever Call
3.)Nodejs
4.)socket.Io for Real-time Chat Implementations
5.)Ajax and Jquery at Front end
6.)Php and Mysql for Storing and Retrieving Chat Messages to and from Microsoft Azure Hosting Server
7.)Html5 session storage for implementing Members chatroom/channel invitation links calls
.
How to Run this application
To run this application Locally or Remotely via Microsoft Azure Hosting please see the instruction files attached to the code submission.
Accomplishments that I'm proud of
Just trying out Auth0 and Microsoft Azure for the first time. They are awesome and fantastic
What I learned
What's next for Auth0 Team Chat
more features coming soon
Built With
ajax-jquery
auth0
microsoft-azure-hosting
mysql
node.js
php
socke.io | Auth0 Chat Teams | Online Collaboration Chat and Messaging System For Teams, Families, Businesses working on a Task, Projects, Issues etc. | [] | [] | ['ajax-jquery', 'auth0', 'microsoft-azure-hosting', 'mysql', 'node.js', 'php', 'socke.io'] | 46 |
10,312 | https://devpost.com/software/stackreview | Inspiration
Ever since I started coding, being judged based on my code was my biggest fear, becoming an expert is not an overnight process. My first criticism came with my first article, which was a tutorial on creating a
Twitter Bot
, being the first article I was so happy and proud to share with the world. It was then I was criticized for the way it was coded, for example, instead of splitting code into different functions, I only had one big function that took care of everything.
Making sure the code works is the priority for someone who has just started coding, as it was for me. Criticism is essential for growth, but only constructive criticism and sometimes negative criticism can affect someone's confidence, negative criticism is a real problem that exists and affects programmers.
So, I thought, is there any way someone can review my code without me being judged by others. This problem inspired us to create
Stack Review
, a peer code review portal where you can share your code snippets and get it reviewed by experts and the community without disclosing your information. To scare off potential scammers, to review code, one must register on the portal. Isn't it Awesome?
What it does?
Stack Review helps you to get your code reviewed by your peers and community members anonymously. To get started, you simply need to register on the portal. After that, you can share posts or code snippets and get it reviewed by other community members. You can also evaluate other people's code and let them know how they can improve it. In a nutshell,
Stack Review
is where you can improve your coding skills and help others do the same.
How we built it
Choosing the right tech stack is crucial in any project, so we first decided on the tech stack, which was:
Nextjs - Web Application Framework, we initially considered React, but because of the different features that Nextjs offers, we decided on it.
Auth0 - Having an Authentication Portal was important to scare off potential scammers.
Vercel - To deploy our project and inspect every PR
MongoDB - To store the Posts and Comments Data
Material UI - To style our project
React Ace - To embed and code editor in our Create New Post form
React Highlight - To highlight the code in a post on the homepage
Our first step was to create the frontend of the project. Using Material UI, we added a Navbar with Login/Logout button.
Next, we integrated Auth0 in our application; this became easier with
@auth0/auth0-react
. We successfully integrated Auth0 and added a Ternary Operation to show either Login Button or Logout Button. We also added a user Avatar in the Navbar pulling the image from
user.picture
in the user's object.
After this, we created a
Post
, actual posts that are shown on the user's homepage. We used custom CSS, Material UI, and React Highlight to develop this.
The next step was to create a form where the user can create new Posts. We used
React Ace
to embed a code editor inside the form.
There is no separate backend as we use the Vercel API Routes support to build an API.
We've created an API with a
Swagger description
to document what's planned to do. Some endpoints might be missing at this stage as it was mainly about CRUD operations.
We use a MongoDB database provided by MongoDB Atlas. We planned to use MongoDB Realms as there is some cool stuff about schema validation and role-based rules. The integration into Vercel did not works well as the Node SDK failed to initialize. So we moved to use MongoDB Driver directly.
The realm application has been exported to a Github repository while working on it :
https://github.com/stack-review/stackreview-mongodb-realm
. It's not complete.
Work has been done in the UI (not available in the repo) to use custom JWT with Auth0, using JWK URI.
We've build a small validation layer while addding a new review to show how do validate payload submitted to API. It's built using @hapi/joi module. It should be implemented then for all POST and PATCH operations.
All the necessary secrets are managed through vercel env CLI. It enables us to provide different values for production or development. And last but not least we can enforce team synchronisation for env variables using
vercel env pull .env.local
command. The
.env.local
file is ignored by git so we're safe !
All API Routes require the auth0 access token as first validation. It's used to identify current user either the author of a code review request or a contributor adding some comments.
Code review can be required to be anonymous, which means that author is know from the system but not displayed publicly. The API route is responsible for removing all author data prior to sending response back to the Next.js application.
Testing -
It's plan to add API integration testing using Jest & AVA. This tests will verify all API routes error codes and will be run on each pull request using Azure Pipelines Github integration.
It will help us to not relying on manual testing or curl testing. It was not possible to set up Azure Pipelines in a so short amount of time even using Github Actions.
Challenges we ran into
We ran into quite a few challenges along the way; one of our teammates had to leave the hackathon due to some personal reasons that significantly affected the work distribution among us. Still, we tackled this issue and redistributed the tasks among ourselves and completed this project.
Another challenge was that we had quite a few hours difference between us, and it was hard to be available at the same time.
There are so many things that can be done with this project, although not everything is possible in the time frame of the hackathon, figuring out which functionalities to implement was a hard challenge.
Accomplishments that we're proud of
We are most proud of creating a platform that empowers beginner programmers to grow their skills without being judged.
We are proud of our efficiency as a team; it is hard to believe this is our first time working together, despite the time zone issue, we were able to work together and complete this project.
What we learned
We learned so many things in such a short period; this is why Hackathons are fantastic. We came to know about so many new things along the way.
But the best takeaway we learned was that it was effortless to use and integrate Auth0 in our project.
What's next for StackReview
There are so many things that can be done with this project, which is why we will be making this project open source and continue to work on this in the future.
Here are some ideas :
Integrating Twilio for push notification whenever someone reviews your code.
It might be a good idea to add a different registration for experts in their field and give reviewers the title of Reviewers.
To keep people engaged, we can provide them badges for different tasks and accomplishments.
It might be interesting to add components as a sidebar or on the homepage: last code reviews, recent comments.
User Dashboard, where we can display the code snippets submitted and commented.
Instead of separate comments, add inline comments in the code snippet itself.
Add tags to separate code snippets based on languages or tech stack used.
Add social share button that shares the post across Twitter, Facebook, etc. to attract more reviews.
Built With
auth0
mongodb
next
nextjs
react-ace
react-highlight
realm
vercel
Try it out
stackreview.vercel.app | Stack Review | Peer Code Review Portal - Get your code reviewed Anonymously | ['Stéphane Bachelier', 'ASHUTOSH KUMAR SINGH', 'Nimai Patel'] | [] | ['auth0', 'mongodb', 'next', 'nextjs', 'react-ace', 'react-highlight', 'realm', 'vercel'] | 47 |
10,312 | https://devpost.com/software/officina | Homepage
Sign in/ Sign up
An office owner can see the orders, to approve or reject them, and the offices he posted
A user can see the offices he booked, and if the order got approved or rejected, or if its still pending
Add an office with map support, just click on location!
Inspiration
As a result of COVID-19, many companies have been forced to function with working remotely employees and to adopt technologies that enable collaboration from a distance.
Companies have invested a lot in remote work tools already, and they have seen positive results, and most of the cases productivity has accelerated!
Post COVID-19, many companies have already announced that they won't be returning to the old way of working every day from the office anymore.
Working remotely more often not only will help reduce traffic jams and save time on commuting but also can save the employers a lot of money on the office and real estate costs.
According to research, an employer can save $11,000 a year for every employee who works remotely half the time!
What it does
Officina is an office rental service.
It shows you available offices nearby and allows you to post an office for rent. Besides that, it allows you to book offices and collect rent from your offices.
How we built it
We used:
PHP 7.4
Symfony
MySQL
Bootstrap 4
Docker
Challenges we ran into
Implementation of the interactive map and coordinates support.
Symfony 5 - we were relatively new to Symfony, it was a bit challenging to work with it.
There were some issues with the application's domain & testing locally OAuth authentication with the third-party services, but we managed to solve and fix all the issues.
Communication and time zone difference - as we all live in a place with different timezone, we had to find time for our e-meetings that is good for everybody.
Accomplishments that we are proud of
We are proud that we were able to deliver our application working well in such a short period of time!
What we learned
We have learned a lot about Symfony and coding, and we have learned how to work as an international team with different timezone and to collaborate.
What's next for Officina
There are features that we really wanted to implement, but unfortunately, we didn't have the time.
We want to implement a rating system, so a user can rate an office and see reviews from previous users.
We want to implement an automatic payment system, so a user can pay via electronic payment method instead of physical payment as today.
We want to have a more efficient way of searching for offices - using SOLR search or Elastic search.
That would be necessary to be able to scale our application.
Built With
amazon-web-services
bootstrap
css
docker
html5
mapbox
mysql
oauth
php
symfony
Try it out
ec2-52-15-214-16.us-east-2.compute.amazonaws.com | Officina | Officina is a platform for employers and individuals to put their office for renting or look for an office to rent. | ['Abijah Kajabika', 'Tamar Peled', 'Ankit Sharma'] | [] | ['amazon-web-services', 'bootstrap', 'css', 'docker', 'html5', 'mapbox', 'mysql', 'oauth', 'php', 'symfony'] | 48 |
10,312 | https://devpost.com/software/autocorrect-remover | This addon is now listed in the Chrome webs store:
https://chrome.google.com/webstore/detail/autocorrect-remover/kabdipaepjjfeadakmldmlfincpelajp?hl=en
Inspiration
With lots of folks learning online now, even English class, this could be not great for learning, people don't learn what words they are misspelling.
Especially with Google docs auto correcting or showing the word and not letting you think about and re type it… and other systems doing the same, auto correcting or trying to say what you should type (with a tab… MS outlook online…)
For this project I propose a Firefox/chrome addon for turning off auto correct - and gamifying high percentage of correctly typed words, for English learners and writers.
What it does
Auto correct popup off (in Chrome, Google Docs only, for now.)
How I built it
JS file and chrome extension.
Challenges I ran into
Not really an api for Google Docs to change this spellchecking popup -
https://howtotrainyourrobot.com/mutationobserver-as-a-clever-javascript-workaround/
Accomplishments that I'm proud of
Quick js fixes
What I learnedi
Chrome addon api.
What's next for Autocorrect remover
Could work better and store what words are misspelled, share score.
Not yet built for Microsoft-word-online or for Firefox or other browsers.
Built With
javascript
Try it out
chrome.google.com | Autocorrect remover | With lots of folks learning online, even English class, people may not learn what words they are misspelling.Google docs and others autocorrect or show the word rather than letting you retype it. | ['programmin1 Bryan', 'PieterCamryn de Vries'] | [] | ['javascript'] | 49 |
10,320 | https://devpost.com/software/biteacon | Inspiration
End-users in their majority, experiencing fear and doubt when dealing with blockchains today. Being properly equipped with the comprehensive and structured analytical tool, contemplating visualized objects and clear interrelations, having access to successful ecosystem products usability patterns, risk patterns one could feel much comfortable give it a try and wade through the technological complexity.
What it does
Biteacon is a combination of three products:
1) biteacon.xyz - a business intelligence web application, that is synced with indexed LikeLib blockchain database. It equips the end-user with a tool to analyse LikeLib blockchain from a variety of perspectives (visualisation, custom & predefined queries, usability by design).
2) biteacon bot - a telegram bot that provides easy-to-go realization of blockchain explorer functionality for LikeLib.
3) API - GraphQL protocol based API that enables 3rd party software developers to build their own solutions by means of having access to indexed LikeLib blockchain data.
How we built it
ORGANISATIONAL PERSPECTIVE:
We are a team of four: two non-engineering roles and two software engineer roles.
TECHNOLOGICAL PERSPECTIVE:
We explored some open source solutions that allow to flexibly work with data from an engineering perspective. Finally, we stopped over Apache Superset (incubating), a modern, enterprise-ready business intelligence web application or custom analytic platform.
1) the backend is realized in docker containers and hosted in the cloud (DigitalOcean);
2) customized services of architecture were written in Java;
3) two database types were used:
i) relational for SuperSet application data, Indexed LikeLib and Telegram bot DB,
ii) key-value database for caching requests to be further channeled to the indexed LikeLib.
4) the telegram bot interacts with the indexed LikeLib database and its own database via GraphQL protocol;
5) the Crawler, a service that extracts all the data from the LikeLib blockchain, check its accuracy and completeness, reconfigure and structure it so that it fits to the data scheme in our database.
Challenges we ran into
1) There was a challenge to correctly display links of block and transaction hashes (base64 encoding) in Telegram. To solve this we had to write the new logic of the search process (by using a chunk of the hash sum only) coupled with a proper display on the interface.
2) We had also to write the specific matching logic in the Crawler with its own in-memory cache because LikeLib node API does not allow for an opportunity to obtain data with an accurate entity structure (i.e. request to get address does not provide full data structure with its pertinent transactions: it returns only output ones, but the input ones require another set of actions to obtain).
Accomplishments that we're proud of
1) In such a short period of time, we were able to coordinate the teamwork properly, irrespective of the need of social distancing.
2) We were able to prepare all the necessary development documentation so that the jury could have all the structured information to navigate and analyse.
3) We deployed web application and telegram bot to the public internet, so these are fully functioning solutions in production now.
4) Solution architecture is enterprise-ready and allows for out-of-box usage and intuitively to manage.
5) It is always fun to be part of the UTON HACK blockchain hackathon:)
What we learned
1) We've got familiarized with LikeLib documentation, source codebase and the specifics of its implementation.
2) We've built relationships with the core LikeLib development team and became assured that they are very responsive, easy to go with and treat feedback positively.
3) Realised quite a heavy solution for this hackathon in a short period of time and successfully challenged our team to work under high-pressure deadlines one more time.
What's next for Biteacon
1) We plan to coordinate further steps with LikeLib development team to support them if we could add value to their strategic plans.
2) It is important to emphasize, that many things depend on the future plans of LikeLib blockchain development. While at the same time, we could work with other blockchains (Ethereum, Cosmos, Polkadot, EOS etc.) and add new features to our explorer upon their relevance, business necessity and funds availability.
Built With
docker
graphql
hasura
java
postgresql
redis
superset
telegram
Try it out
biteacon.xyz
t.me
t.me
github.com | Biteacon | Biteacon is the LikeLib ecosystem interactive explorer that assists its users in exploring opportunities of its network, products & solutions. We want to be the tailwind to regular users & developers | ['vladimirvvs', 'Alexey Kashpey', 'Daniel Harapko', 'Maksim Hryhoryeu'] | ['BEST SOLUTION FOR LIKELIB'] | ['docker', 'graphql', 'hasura', 'java', 'postgresql', 'redis', 'superset', 'telegram'] | 0 |
10,320 | https://devpost.com/software/likelib-analytics | An analytical platform and explorer for LikeLib blockchain.
Our big data pipeline indexes all blockchain data and exposes data and metrics through API and WEB application.
APP:
http://34.69.218.149:5000/
API:
http://34.69.218.149:8080/
GitHub:
https://github.com/likelib-analytics
What we've built
1)
LikeLib Explorer
The transaction explorer allows to search and query for any block or address and explore particular transactions: thanks to our state-of-the-art big data infrastructure everything works lightning fast!
2)
LikeLib Analysis Tool
Our analytical application serves as a tool for advanced blockchain data analysis: you can monitor technical, financial and user-related metrics, see the current state and health of the blockchain ecosystem and get a full and truly transparent overview of LikeLib!
3)
API
The API exposes the data for third-party developers. You can get any needed data just in a few lines of code!
Accomplishments that we're proud of
Our big data pipeline is our advantage. The warehouse architecture is highly scalable and load resistant - it's able to process billions of transactions, which is often the main challenge when working with fast blockchain networks.
What's next for LikeLib Analytics
Our next goal is to work on frontEnd side - improve usability and add more metrics for analytics.
Built With
clickhouse
docker
flask
javascript
kafka
python
Try it out
34.69.218.149 | Likelib Analytics | Explorer and analytics platform for Likelib analytics blockchain | ['Alexander Grablevski', 'Iryna Pranovich', 'Dima Ivanov', 'Katsiaryna D', 'Ivan Klimuk'] | ['BEST SOLUTION FOR LIKELIB'] | ['clickhouse', 'docker', 'flask', 'javascript', 'kafka', 'python'] | 1 |
10,320 | https://devpost.com/software/bulls-cows-qbg1hn | What it does
For first view it isn't hard to implement Bulls and Cows game using smart contracts. But there is the pinfall - how can Host to prove their response without revealing the secret word? Here zero knowledge proofs appear. Host can respond for each guess with appropriate zk-proof which cryptographically proves that response corresponds to the secret and guess words without revealing the secret word. Looks like another beautiful zkp application!
Built With
circom
ethereum
javascript
metamask
solidity
truffle
wasmsnark
zk-snark
Try it out
hackaton-d-k.github.io
github.com | Bulls&Cows | In Bulls&Cows game Host can respond for each guess with appropriate zk-proof which cryptographically proves that response corresponds to the secret and guess words without revealing the secret one. | ['Alexander Drygin', 'Sergey Khokhlov'] | ['THE BEST BLOCKHAIN GAME'] | ['circom', 'ethereum', 'javascript', 'metamask', 'solidity', 'truffle', 'wasmsnark', 'zk-snark'] | 2 |
10,320 | https://devpost.com/software/mask-chain | Buyer Scans QR Code to verify details
Manufacturer Adds new Mask data to Blockchain + IPFS using data from Arduino
Transporter scans QR code to get Mask ID. Sends a transaction to smart contract to signal that the package has been delivered
Buyer gets all the Information from Smart Contract about the Mask, after scanning QR Code. Mask's authenticity is verified.
The payment for Mask is sent directly to the partied involved, without any Middlemen!
Inspiration
In the current Pandemic it is very important to verify that people are using Original Masks. With the new business opportunity, the scammers are producing fake masks to earn some money but harming the lives of innocent individuals.
What it does
This is a Supply chain using Ethereum Blockchain and IoT to track and verify the source of masks.
There are 3 players in the supply chain: Manufacturer, Transporter, and Buyer.
Manufacturer: Produces new Mask. Using Weight sensors connected to Arduino, the weight is displayed onto the webpage. Using Image Capturing Device (here a webcam) the image of the product at the manufacturing site is taken and uploaded to the decentralized storage: IPFS.
All this data is saved onto the blockchain and a new Mask Id is generated.
Transporter: Transports from Manufacturer to Buyer. On successfully delivering the package, the transporter scans the QR Code to sign on the Blockchain that the package has been delivered.
Using GPS sensor, the application is able to record the current location onto the blockchain as well.
Buyer: The buyer receives the package with QR Code. He/she then scans it using the DApp. On successful scan, the details of the package are fetched from the Blockchain and displayed to the user. The user then pays in Ethereum to the Smart Contract which then splits the payment to Manufacturer and Transporter in predefined amount.
The Major advantage here is that the user can verify the origin and authenticity of the package received, thanks to the blockchain. Also, the Manufacturer and Transporter get Paid Directly to their Addresses without any middlemen taking their unnecessary cuts. This peer-to-peer transaction is what makes blockchain successful.
How I built it
Connected the weight measuring sensor to Arduino via jumper cables. The data is transmitted to computer via USB cable to Nodejs server. The Frontend is in React.js which fetches weight data from Server.
Web3.js is used to communicate with the Ethereum Blockchain.
Challenges I ran into
One major problem was that due to the current scenario, it was very difficult to collect hardware components to get the IoT section of project to get working. I managed with whatever the circuit I had left lying around.
It was the first time I integrated Blockchain with IoT, so it was a learning experience.
Accomplishments that I'm proud of
That I can finish the Proof of Concept of this big project before the deadline.
What I learned
Blockchain and IoT integration.
What's next for Mask Chain
Make it production-ready.
Built With
ethereum
react
solidity
Try it out
github.com | Mask Chain | Verify Authenticity of Masks using Blockchain and IoT | ['Apoorv Lathey'] | ['BLOCKCHAIN & IOT'] | ['ethereum', 'react', 'solidity'] | 3 |
10,320 | https://devpost.com/software/supplike-by-easychain-team | Inspiration
Our inspiration comes from many No-Code sulutions, for domain
specific problems like Chat Bots. We think that creation of Supply Chain
should be no more difficult than a Chat Bot flow.
What it does
It's a No-Code solution for creationg of Supply Chains, with End User mobile Application.
How I built it
For this project we've deployed our own LikeLib and IPFS nodes. Then
we've created Smart Contracts using Truffle framework. We tested them
with Truffle Test to ensure they work prior to deploying to LikeLib.
That saved us a lot of time, as we knew, that Contracts are working the
the problems could lie only on integration layer.
The Smart Contract is implemented in rarther interesting way - for each
Asset in real life, represented by QR code, a tokenized supply chain step is created.
Step is different from an Asset in that the same Asset can participate
in different Steps (transportation for example). Steps are managed as UTXs,
which prevents double spending.
Then we've create a simple backend app based on mocks and immediately
started developing Web and Mobile part. Web IDE (Constructor) was challenging,
but with the help of React Diagrams we've creates some good UX for supply chain designer.
We've creaed mobile App on the React stack as well, using React Native.
By this time, backend was done, with embedded metadata storage, LikeLib and IPFS integration.
We've finished by doing a prototyping work on integration with IoT sensors. For
sensor emulation we've choosen IBM Watson IoT Platform. We've simulated a sensor
and created a gateway to push sensor data to backend, which stored it to IPFS.
Overall that was a very interesting project
Challenges I ran into
Initially we've run into problems with LikeLib blockchain with some bugs in core
part and client library part. However, with the help of LikeLib team we've managed
to work around them.
Accomplishments that I'm proud of
We're proud of finising such a complex projec in time, as well as
creating 3 PRs to LikeLib repository during hackathon all of which
got accepted by LikeLib team
What I learned
We learned many new things during this hackathon, but most importantly it was
communicating with LikeLib blockchain, deploying our own IPFS node as well as
working with IoT devices using IBM Watson IoT Platfrom for emulating temperature
sensors
What's next for Supplike by EasyChain Team
We'd like to continue working with LikeLib team, potentially developing
a business model around product like Supplike with tokens being paid
by actual users for performing operation on platform.
Built With
ibm-watson
ipfs
javascript
likelib
node.js
react
react-diagram
react-native
solidity
tuffle
typescript
Try it out
github.com
drive.google.com
84.201.165.26
drive.google.com | Supplike by EasyChain Team | Supplike - a platform with embedded supply chain constructor based on a LikeLib blockchain.It’s easy to design and deploy Supply Chain with build in constructor, Assign roles and use it! | ['Alexey Nekrasov', 'Julia Palamarchuk', 'Denis Vasin', 'Anre Ku'] | ['BEST SMART-CONTRACT FOR LIKELIB'] | ['ibm-watson', 'ipfs', 'javascript', 'likelib', 'node.js', 'react', 'react-diagram', 'react-native', 'solidity', 'tuffle', 'typescript'] | 4 |
10,320 | https://devpost.com/software/solidvoice | Everyone's voice is important. But with good old voting process it may be hard or nearly impossible to make sure that your vote is accounted. So we designed a system that stores votes in blockchain and allows to verify them.
Built With
c#
solidity
Try it out
github.com | SolidVoice | We make voting process secure and transparent by moving it to blockchain. | ['Rostislav Prokopovich'] | ['HACK THE CRISIS'] | ['c#', 'solidity'] | 5 |
10,320 | https://devpost.com/software/non-selective-reporting | Inspiration
How to garantee that the statistical report is not selective reportin and takes into account all sample data?
There is a need to quickly research large numbers of samples and try to develop a vaccine. As a consequence of the research, a large number of articles are published.
For example, 1.25 million scientific statistical studies have been written about covid. But only half of the statistical studies contain complete information about the initial sample.
Problem
How could we verify and prove to everyone that our results are not selective reporting?
50% of statistical studies do not consider all results.
Difficult to guarantee a non-selective reporting in the reviews of people in different industries. But it is very important to know all information to make the best choice,especially in the field of drugs and vaccines.
*Selective reporting is the reporting of results from only a selection of studies. Selective reporting can lead to publication bias. For example, if a greater proportion of studies with a positive outcome are reported than those with a negative outcome, a review of publications will be biased toward a positive result.
Solution
The product allows you to guarantee a big audience that your social polls or review are not selective reporting.
1.Google Form to create form with an appropriate configuration
2.Send the link to our application
3.Timestamps each response in a blinded way on the Hedera Hashgraph blockchain platform with a goal to guarantee that all votes will be taken into account
How it works?
1.Sign up for APP& Creating a form.Confirm your information. Construct form for your poll using a wide range of Google Form instruments.
2.Submission parameters & Payment.Leave a link to Google survey form, wait for validation of questions on the Hedera Hashgraph and pay for the service using Hashing Systems instruments.
3.Research flow.You can share a link to a Google form with survey participants. Our service automatically hashes each answer and store it in an orderly manner on the hashgraph.
4.Get reviewers on your research.Send the results of the responses to several reviewers and confirm that research results match the stored proofs.
5.Proof of non-selective reporting.In your application’s dashboard, share evidence of non-selective reporting with anyone, which consists of survey statistics, a link to saved proof, and a list of reviewers who checked compliance
Technical Solution
Web-app: Registering => Create Form =>Take participation => Get results
Google Form: Creating Form => Getting the information about questions => Getting every event
Hedera Hashgraph: Write a hash of each answer into blockchain => Everybody could check that the final result includes all users => Proof of Action of each participant
Why it is the best way to guarantee non-selective reporting?
-Using blockchain to hash data and guarantee the immutability of information
-Integration with Google Forms, without additional actions on the part of the survey participant
-An easy way to guarantee non-selective reporting by providing a link to our website and checking with thу blockchain
-A mechanism for finding independent reviewers to ensure the completeness and correctness of the stored data
Why Hedera Hashgraph Blockchain?
1.Less cost of transactions.
Hedera: cost in one transaction~ 0,0001 $. Ethereum: cost in one transaction ~ 0,1$.
Hedera: for reporting of 1000 participants <1$. Ethereum: for reporting of 1000 participants -100 $.
2.Orderly transactions in the blockchain
Who is our clients?
1.Authors of statistical studies and publications. Problem:How to be sure of the validity of linked results?
How to guarantee non-selective reporting on your research?
2.Companies and organizations providing research results. Problem: How to guarantee non-selective reporting on your research for a big audience?
Business model
Average cost of one survey is $ 20
Variable support and acquisition costs $ 10 per survey
Exit to the payback point is planned in the 4th quarter of 2021, break-even point in the 2nd quarter of 2021
To do this, you need to make monthly starting from 10 to 50 sales with an average cost of $ 20
$ 10,000 is needed to bring the first version to market
Instructions
Use Google Chrome browser and install an extension Composer for Hedera hashgraph (link:
https://chrome.google.com/webstore/detail/composer-for-hedera-hashg/hdjnnemgikeoehneddegfcmkljenlean?hl=en
).
This app manages private keys for Hedera and allows you to sign transactions (like MetaMask for Ethereum).
Create your personal key pair for Hedera Hashgraph testnet. You can do it here (link:
https://portal.hedera.com/register
). After that, import registered account into Composer app.
Now you have an account with a non-zero balance.
Follow the link to our website and pay for Google Form timestamping.
Tech Instruments & APIs
Google Form's events listener - Google Apps script
Timestamping of Google Form's responses - Hedera Hashgraph Consensus Service
Key management & Transaction signing - Composer for Hedera Hashgraph
Finally
NON Selective Reporting
is a complete product to guarantee a big audience that your social polls or review are not selective reporting.
Prototype of the NON Selective Reporting
Video-presentation of the NON Selective Reporting
The product allows you to guarantee a big audience that your social polls or review are not selective reporting.
During this hackathon:
We have created a fully working web application to guarantee a big audience that your social polls or review are not selective reporting.
Use the Hedera Hashgraph Blockchain and Hashing System for fast and low-cost storage of the hash of information.
Our prototype are fully working and easy to use
We want faster progress in scientific research and avoid the problem of selective reporting!
Built With
hedera
javascript
react
ts
Try it out
34.71.99.96
github.com
github.com | NON-Selective Reporting | The product allows you to guarantee for a big audience that your statistical research papers or reviews contain the entire sample, without exception. | ['Aleksandr Sokolov', 'Grigoriy Melnikov', 'Anton Pecherkin', 'Ann Chuhnina'] | ['HACK THE CRISIS'] | ['hedera', 'javascript', 'react', 'ts'] | 6 |
10,320 | https://devpost.com/software/blockchain-game-dino-hunt | Dino hunt game
Dino generator
Success capture of dino using ETH tokens
Ganache
Metamask
Inspiration
I wanted to build a pokemon style game that lets you generate various characters and then lets you capture and collect it. Various collectibles that can captured using blockchain tokens makes the game really fun and interesting.
This is achieved using Ethereum blockchain. I have used Solidity and Truffle for setting up the smart contracts.
What it does
This game lets you generate various possible combinations of Dinosaurs using a Dino Factory and then lets you capture and collect it using blockchain tokens.
How I built it
This game works on a Ethereum based blockchain. Solidity and Truffle are used to generate Smart contracts.
I also used Ganache for test / Development and Metamask as a gateway for blockchain.
The server is built using node.js and Web3JS is used for the frontend. Twitter bootstrap UI framework is used.
Tech Specs
Ethereum blockchain
Truffle for adding Smart Contracts
Solidity for contract Implementattion
Web3 JS for frontend development
Metamask as Gateway to blockchain
Bootstrap frontend Framework
Lite server for deployment
Ganache for Test/ Develoment
Challenges I ran into
Dynamically generating various Dinos was difficult initially. This was later achieved using a smart contract for Dino factory.
Accomplishments that I'm proud of / What I learned
This project gave me a very good understanding of blockchain protocol and various smart contracts invovled. I was also able to learn advanced concepts in Solidity and truffle.
What's next for Blockchain Game - Dino Hunt
I want to build the UI to let the user customize the Dino generation. Also, allow various actions by Dino's like fight, play, procreate etc.
Built With
blockchain
ethereum
ganache
metamask
node.js
solidity
truffle
web3
Try it out
github.com | Blockchain Game - Dino Hunt | Blockchain based game to generate, capture and keep track of Dinosaurs. Built using Ethereum, Solidity and truffle for smart contracts. DinoFactory to generate various possible combinations of Dinos. | ['Jayshree Anandakumar'] | [] | ['blockchain', 'ethereum', 'ganache', 'metamask', 'node.js', 'solidity', 'truffle', 'web3'] | 7 |
10,320 | https://devpost.com/software/dragonereum-breeder | Inspiration
I'm really like blockchain crypto fungible games but sometimes it is too expensive to rush transactions without any plan to do it. That's why I decided to implement some offchain tool for breeding analytics for dragonereum.
What it does
This tool gets IDes of parent dragons and forecasting the probabilities of child dragon rare body parts.
How I built it
I've got genomes of dragons from smart contracts, parse it and calculate probabilities of rare body parts of a child dragon.
Challenges I ran into
First, this is genetics. I explored some biology articles to understand how it exactly works. The second one it's the
whitepaper
for understanding how genetics works exactly in that game.
Accomplishments that I'm proud of
I'm really proud of the result and potential of this project. Now I can develop a strategy of the shortest way to the perfect dragon with the awesome collect scores and avoid spending gas for transactions. Also, the game became more interesting with understanding how it works.
What I learned
Genetics in dragonereum
What's next for Dragonereum breeder
The next is algorithms to short ways for the perfect dragon from resources you already have. And more tools for other good games in ethereum and so on.
Built With
javascript
react
web3lib
Try it out
github.com | Dragonereum breeder | You can check the probabilities before breeding to make sure if you on the right way with your game strategy. Also, this is a great tool for learning biology with the blockchain game. | ['Ales Puchilo'] | [] | ['javascript', 'react', 'web3lib'] | 8 |
10,320 | https://devpost.com/software/blockstack-casino | Blockstack Casino - logged out screen
Blockstack Casino - logged in screen. Ready to spin!
Wasn't lucky this time...
Storage of high score and user balances done on Gaia. Each day a new jackpot is randomly generated!
The Wheel
Blockstack Casino
A blockchain roulette casino game.
Using a mixture of javascript animations and blockchain frameworks, blockstack casino is a roulette game that saves and records your game history on blockstack distributed data storage. Each time a balance or hi-score is updated, the data gets posted back to the underlying blockchain.
You'll need to authenticate with a blockstack account, an open-source blockchain framework for building decentralized apps and smart contracts, in order to track your score.
Try it out!
https://blockstackcasino.com/
Code is open source and available here:
https://github.com/cbonoz/blockstack-casino
Running Blockstack Casino locally
Clone the project
Update
manifest.json
start_url
to
localhost:8080
yarn
yarn start
The web app should now be available on
localhost:8080/index.html
Future work
Support tracking crypto balances and enable betting with real cryptocurrency
Enable global high scores and leaderboards
Extend into other game categories.
Built With
blockstack
css
html
javascript
Try it out
www.blockstackcasino.com
github.com | Blockstack Casino - A blockchain casino game | A Free Roulette casino game backed by blockstack distributed storage. | ['Chris Buonocore'] | [] | ['blockstack', 'css', 'html', 'javascript'] | 9 |
10,320 | https://devpost.com/software/blockcharity-for-covid-19 | Blockcharity
Inspiration
With the ongoing pandemic, organizations around the world are desperate for resources to help fight the virus and need all of the support they can get. We wanted to create a platform to quickly choose and split donations among several organizations with minimal overhead and no middleman.
IoT:
Donations through our app would be globally accessible by supporting use of lightning enabled IoT hardware or mobile device wallets for sending payments. By using lightning network, any IoT device could submit a donation - in the demo we show this from an Android mobile device, but this could be any device accessing the network from around the world via a QR code.
What it does
Blockcharity is a video browsing application for charitable organizations. Users can donate directly to charities featured on the website using bitcoin either on chain or over the lightning network. Selected charities will receive the donation either on chain or over the lightning network depending on whether or not they have a lightning wallet available. This give charities the opportunity to transition to the lightning network at any time and enjoy the benefits.
The lightning network provides numerous benefits:
Charities from around the world to receive large amounts of small donations with minimal costs for transaction fees and currency conversion.
Charities can continue to accept payments without fees as long as they remain in the lightning channel
When a desired charity is discovered, use an existing lightning enabled wallet to instantly donate to that charity (by Bitcoin address).
Shorter settlement times also mean the charity has more immediate access to funds.
Donation History
Blockcharity utilizes blockchain storage to save a public history of charitable donations made by a specific user. This feature was inspired by our very own president, as many of charities that he claimed to have donated millions of dollars to said they never received the money according to an extensive article in the Washington Post found
HERE
. Blockcharity's easily verified public records discourage donors from making claims before any transactions take place.
Make a donation
To make a donation over the lightning network, first log in with your
Blockstack
ID or create a new one. Select a charity from our website and follow the instructions for transferring bitcoin from your lighting enabled wallet. If you don't have a wallet, you can quickly get one following these instructions provided by
OpenNode
:
Get a Lightning Network enabled wallet:
First you'll need a Bitcoin wallet that lets you receive, hold, and spend Bitcoin on-chain (regular) and via the lightning network.
For the quickest and most simple mobile experience, we recommend Blue Wallet. You can download either on the Apple App store or on Google Play store.
If you’d like to use your desktop, you can download Bitlum as a chrome extension.
For advanced users who would like to set up their own non-custodial wallet, check out this guide here.
Move bitcoin into your Lightning Network wallet
If you don't have Bitcoin in your wallet yet, you'll need to buy some. Every country and region is different, so you'll want to do some research before choosing an exchange. Examples are CashApp, Coinbase, Kraken.
If using Blue Wallet, make sure to create two wallets, 1) On-chain (regular) to receive your bitcoin from the exchange or wherever else you store your bitcoin and a 2) Lightning Network wallet.
Select the lightning wallet in your Blue Wallet app, click manage funds, then click refill from your on-chain wallet and set your desired amount.
Now you’re ready to make payments over the Lightning Network.
Step 3: Make a payment
Open your wallet
Scan the QR code or tap on the “Open in wallet" button.
Confirm everything is correct and proceed with your payment.
How we built it
Blockcharity comprises a website built using React for Node.js and hosted on Heroku as well as a Node.js server for managing charity information and handling transactions.
User accounts and profiles are handled using the
Blockstack
blockchain authentication API.
Donation history are managed using
Blockstack
's decentralized storage.
Lightning network bitcoin payments powered by the
OpenNode
LN API.
Built With
blockchain
lightning
react
Try it out
blockcharity-app.herokuapp.com
github.com | Blockcharity | Make charitable donation over the blockchain to provide aid during the COVID-19 pandemic | ['Brian Cottrell', 'Chris Buonocore'] | [] | ['blockchain', 'lightning', 'react'] | 10 |
10,320 | https://devpost.com/software/covid-healthcare-data-management | All details for installing metamask and running the project have been given in the Project Readme on github :
https://github.com/World-Hackers/Covid-health-data-storage
Inspiration
This application will help users/patients to connect with their doctors and getting immediate and remote assistance for their health. This may also act as a health tracker.
The application aims to solve the problem of doctors’ availability at this time of crisis. As most of
the countries are going through lockdown at the moment, and doctors are working on finding a
cure for COVID-19, it became very difficult for patients to get a checkup even if they have
common flu.
What it does
This application will help users/patients to connect with their doctors and getting
immediate and remote assistance for their health. This may also act as a health tracker. The application aims to solve the problem of doctors’ availability at this time of crisis. As most of
the countries are going through lockdown at the moment, and doctors are working on finding a
cure for COVID-19, it became very difficult for patients to get a checkup even if they have
common flu.
This application will help solve this problem, by providing a platform for patients and doctors to
interact and share details and prescriptions so that the patient can get assistance anytime.
This application will not only be useful at such critical times but can also act as a health
monitoring device for patients who require regular monitoring and checkup.
How we built it
Steps performed by the patient:
● The patient register himself as a patient on the Registration tab
● After registration, he can upload his health care data in the form of excel files, pdf, docx,
or images. This data can be recorded any smart device that the patient may have, or can
be compiled by the patient or any relative.
● Once the patient uploads the data, he will get a unique hash that points to his data on
the IPFS blockchain. The data is encrypted using AES encryption so that it is not
understandable by anyone.
● The patient can then share this unique hash with his doctor (who is also registered on
this platform).
● The doctor can then view this data and send the prescription accordingly.
● The doctors are incentivized using the token mechanism (HealthToken) which we have
introduced.
Steps performed by the doctor:
● The doctor register himself as a doctor with his fee (fee to be paid by the patients to get
diagnosed and get a prescription).
● After registration, he can view the files which his patients have sent him and then he can
diagnose and send the prescriptions accordingly.
● After the doctor sends the prescription, he will receive his fee in HealthToken.
Incentive mechanism:
● We introduced native ERC20 tokens, named HealthToken.
● On first registration, users (both patient and doctor) may receive 1000 free tokens
(owner can send it to each user only once) so that they can use the platform (this may
act as ICO)
● When the user sends his data to the doctor, the doctor’s fee is automatically deducted
from his account and is stored securely in the Smart Contract.
● The stored fee is only released and sent to the doctor only when he sends the
prescription to the patient.
Challenges we ran into
We overall faced 3 major challenges:
1) Storing web3 and contract instances in local storage because of their cyclic redundancies.
Found a workaround by removing cyclic objects.
2) Deploying smart contracts on the Matic Network. Solved after discussing the same with the
Matic Team.
3) CORS error with IPFS storage. Found a solution on google.
Accomplishments that we're proud of
This application will help solve this problem, by providing a platform for patients and doctors to
interact and share details and prescriptions so that the patient can get assistance anytime.
This application will not only be useful at such critical times but can also act as a health
monitoring device for patients who require regular monitoring and checkup
What we learned
Use of :
PFS:
○ IPFS is a data storing platform and is used to store the patient’s data.
○ Storing patient’s data would be very costly and not very efficient which made us
choose IPFS for data storage.
○ The IPFS hashes are generated according to the content of the files so it is
practically impossible for any random user to find the unique hash.
○ By any chance, if any hacker finds out the file hash and tries to steal the data
from IPFS, then he will have to decrypt the AES encrypted file which is another
practically impossible task.
○ The patient can share his file hashes with the doctor. To view those files, the
doctor will have to download files using our platform only so as to decrypt it.
Hence allowing only legit users to access the sensitive data.
● Truffle:
○ Solidity dApp development framework.
● Metamask:
○ Browser extension that acts as a bridge to connect ethereum network with
browser.
● Matic:
○ It is a Layer 2 scaling solution that achieves scale by utilizing sidechains for
off-chain computation.
○ It is used to remove the gas price for every transaction and to make the
transactions faster and efficient.
○ Because of Matic Network, the application doesn’t have any extract cost at the
moment (0 gas for every transaction).
What's next for Covid Healthcare Data Management
Payment system for doctors, chat system for real time chat with doctors.
Built With
bootstrap
ethereum
ganache
matic
metamask
react
solidity
Try it out
github.com
tender-mclean-a3d648.netlify.app | Covid Healthcare Data Management | This application will help users/patients to connect with their doctors and getting immediate and remote assistance for their health. This may also act as a health tracker. solve doctors’ availability | ['Shivay Lamba', 'Suraj Singla', 'Pulkit Midha', 'rahul garg'] | [] | ['bootstrap', 'ethereum', 'ganache', 'matic', 'metamask', 'react', 'solidity'] | 11 |
10,320 | https://devpost.com/software/transaction-explorer | Inspiration
The LikeLib has no user friendly interface to observe transaction and any other info related to the blockchain.
What it does
Requests blocks and transactions from the node and shows them in structured table view.
How I built it
Just done it.
Challenges I ran into
Accomplishments that I'm proud of
What I learned
The another yet GUI framework and another yet blockchain :)
What's next for Transaction Explorer
More analytical features, report generation, charts, something else...
Built With
c++
Try it out
github.com | Transaction Explorer | GUI tool to see blockchain transactions in the LikeLib | ['Peter Moroz'] | [] | ['c++'] | 12 |
10,321 | https://devpost.com/software/collaborating | Inspiration Climate change, transparency, communication, consensus-building
What it does Measure propensity of cities and corporations to collaborate on climate projects.
How we built it Excel, Python, Mapbox, Google Maps
Challenges we ran into Incomplete data, data cleaning, information we wanted but didn't have access to
Accomplishments that we're proud of Putting together an actual product and workable KPIs in a short timespan!
What we learned Teamwork makes the dream work.
What's next for CollaboRating Hackathon Round 2? (far in future, need a break from data)
Built With
excel
mapbox
python
Try it out
github.com | CollaboRating | City CollaboRatings uses CDP’s city and corporate disclosure data to explore ways to measure KPIs for corporations’ propensity to collaborate with cities and cities to collaborate with companies. | ['Lukas Nabergall', 'Alejandro Navas', 'Cynthia Wang', 'Savannah Wu'] | ['Challenge 1: City-Business Collaboration'] | ['excel', 'mapbox', 'python'] | 0 |
10,321 | https://devpost.com/software/challenge-2-team-jackbox | Inspiration:
With our whole team being born into 3rd world countries, we were always taught to actively think about water. Whether it was turning on your water heater 30 minutes before your shower, or saving water uses for your backyard as we didn't have natural rainfall. When we came to the United States, we received a culture shock--24 hour water heaters, and the impact that it may have had on the environment. When we saw the CDP's climate challenges, we knew immediately that water risk was a challenge that we were all passionate about. We were interested in the current state of water security in each city, and we wanted to see if we could provide and or gain any insight on whether they were making strides in the right direction.
What it does:
Overall, the idea was to assess water security. However, with such a complex qualitative dataset, it was difficult to extract such features with ease. Firstly, we implented a keyword analyzer using 2018 CDP data to understand the context of the questionnaires. Then, using those keywords, we were able to assess water security based on a description that the city themselves gave. This was a step in the right direction--understanding self-assessment is a key factor in understanding whether water security is truly at risk.
To better understand qualitative data, we then extracted from Aqueduct's water stress dataset to get a quantitative measure on how the states were doing so we could get a good comparison for our test data.
Additionally, we analyzed the corporate side by looking at the sectors, and their respective grades. To understand the problem with the corporations, however, we looked at the grades they received and then organized them into sector average grades to understand which corporations are causing the problem, and to see in the future, what route the CDP should take to help fix those issues.
How we built it:
The first challenge was organizing and cleaning the data. To do this, we used pandas and several other data science libraries to first clean the data.and prepare it for the keyword analyzer. Next, we pulled the text from the 2018 CDP report and used the nlk package to make a TF-IDF to be able to find the terms and their frequencies in each response respective to the context to which they're important.
We then used this information in accordance with the sklearn library to make three classification models: SVM, Stochastic Gradient Descent, and Naive Bayes. The classes we used were found in the questionnaire by each city's self-assessment for whether or not a risk was extremely serious, serious, or less serious. To test the success of each model, we used the metrics: accuracy, recall, f-1 score. We used k-fold cross-validation with random shuffle to split our data into a training and test set.
Using this data, we used plotly, matplotlib, and seaborn to convert our results into geospatial visual data. We used a variety of different representations, such as city points(on a US map), state lines (on a US map), and bar graphs.
Challenges we ran into:
As with most qualitative datasets, our primary challenge is always cleaning and extracting useful features. It took us a long time to find and organize the features we wanted for our classifier, and which ones truly worked well. Additionally, another challenge was having an imbalanced dataset with the risks, and also a small number of datapoints. We managed to use certain machine learning and data science techniques to overcome these challenges, such as using k-fold cross-validation to overcome the problem of having imbalanced data for training our model.
Accomplishments that we're proud of:
The key word analyzer worked surprisingly well. It is able to find almost all the keywords that we would think it should find. For example, when looking at water security questions, a cool example we found was that the word "rainfall" was seen with a much higher weight than the word "snowfall" in one of the responses. Additionally, we were proud of our model's accuracy with the amount of data we had. Also, the visual appeal of our analysis allowed the project to cater towards more business-facing and professional industries.
What we learned:
We learned many new natural language processing(NLP) techniques, such as how to create a custom inverse document frequency file. This knowledge can definitely be extended to other applications, as NLP is a prominent field in today's market. While we have worked with machine learning before, in classes and on Kaggle, we tend to get datasets that are very balanced, and designed to work. Working with a real dataset extracted from questionnaires was a new challenge for us because we had to overcome more hurdles in order to get our models to work.
This was particularly useful, as it can definitely be applied to other projects. As developers, we often get stuck in the back-end, and don't think about how our data is presented. Getting experience with geospatial data and actively thinking about how we want our data to be seen by businesses and consumers helped us develop our front end and professional skills.
What's next for Challenge 2 - Team Jackbox
By focusing a lot of our time on fundamentals like a keyword analyzer, this data can be extended to many more NLP tasks. While you can continue to improve the classifier while the CDP grows, you can also use the keywords for things such as sentiment analysis, consumer reports, and question answering(QA). We can expand our analysis to not only focus on cities, but to also target corporations and assess their risk on an individual level on matters other than water security.
Built With
matplot
nltk
numpy
pandas
plotly
python
scikit-learn
seaborn
Try it out
github.com | Challenge 2 - Team Jackbox | Water risk classification using keyword analysis. | ['Vinci Reyes', 'Armin Jamshidi', 'Ahan Mukhopadhyay'] | ['Challenge 2: Water Security/Climate Risk'] | ['matplot', 'nltk', 'numpy', 'pandas', 'plotly', 'python', 'scikit-learn', 'seaborn'] | 1 |
10,321 | https://devpost.com/software/challenge-3-team-catalyst-grhdme | Our Team
Team Catalyst was inspired to do challenge 3, because our studies and work have revolved around energy for the last couple of years, and we are understand how crucial it is for everyone to work together to transition to a low-carbon economy. We are three friends who have an irrational love for data and the power it has to solve many of the world's biggest challenges. While our profession is not particularly data science, we work with a large amount of data daily, and we wanted to pool our knowledge and skills to tackle challenge 3.
What it does
Our project does the following:
Find current state and future projections on overall renewable trends for North American cities and corporations that report to CDP
Model and forecast renewable energy percentage for given data for city or corporation
How I built it
We first filtered through the data and came up with ideas using Excel, then performed data visualization and scale up using Python.
Tools used:
Excel
Python
Pandas
Seaborn
Statsmodels.api
Google Geocoding API
Challenges I ran into
Missing data made us want to cry
Different rows and columns, and misalignment between question and responses also made us want to cry
Data exploration was hard at first in Python and large amount of data did not make data processing any easier, which made us want to cry
Accomplishments that I'm proud of
Being able to apply what we learned on real-life data
Collaborating during COVID-19 quarantine was challenging at times
Juggling the hackathon alongside full-time work and more
Presenting the hollistic view of the project concisely within 2 minutes and 5 slides
What I learned
Data science skills require constant practice and taking on challenges like this is a great opportunity for sharpening our skills
Yearly data availability is key in the CDP Questionnaires to be able to make meaningful comparisons
Constraints for responses is important to get consistent data between different organizations and cities
Existing tools are extremely powerful and should be the first thing we try before choosing fancier, newer ones
What's next for Challenge 3-Team Catalyst
We will continue to pursue challenges like this to increase our understanding of how the world as a whole is moving towards improving the environment and how we can do our part in this journey.
Built With
excel
google-geocoding
pandas
python
seaborn
statsmodels.tsa.arima-model.arima
Try it out
github.com | Challenge 3 - Team Catalyst | Simple and effective solution to project renewable trends with CDP corporate and city data | ['Sina Golchi', 'Gene W. Shim', 'Emily Lo'] | ['Challenge 3: Renewable Energy Demand Projects'] | ['excel', 'google-geocoding', 'pandas', 'python', 'seaborn', 'statsmodels.tsa.arima-model.arima'] | 2 |
10,321 | https://devpost.com/software/challenge-2-team-merlion | Interactive Dashboard
Team Merlion
Submitted By:
Fan Wei Liat Egwin (
egwin159@hotmail.com
)
Nathanael Wong (
nathanaelwong@fas.harvard.edu
)
This project repository contains the submission for the CDP Hackathon by Team Merlion. Reproducibility can be obtained by following the instructions below.
The main coding language for this project is Julia. However, the NLP processing was done in Python (which can be called natively in Julia).
Project Initialization
Julia projects can be initialized and installed. You can initialize this project by doing:
@quickactivate cdphackathon
] initialize cdphackathon
Which will install all dependencies and create a Manifest.toml
Installing spaCy
This project requires the Python package spaCy. Activate the Julia Conda environment (check the list of environments), and do the following:
conda install -c conda-forge spacy
python -m spacy download en_core_web_lg
Obtaining Cleaned City List
The list of cities from which data was obtained from by CDP has been cleaned and compiled by relevant functions in
cityresort.jl
. Uncomment the following three lines in
citiesresort.jl
:
resortUScitylist("cities/uscitylist.csv")
resortCAcitylist("cities/cacitylist.csv")
cdpcitycsv("Cities_Data_2017-2019_mb2.csv")
However, it must be noted that this automated resorting only is able to find details for 2/3 to 3/4 of all the cities on the list. Details of the longitude/latitude for the remaining 60 cities were found manually.
Keywords
Using the NLP package spaCy, we are able to identify the most common keywords and the frequency of their outputs in
regionresort.jl
Tableau Dashboard
The raw Tableau workbook can be found in the
submission
folder, but a public link can be found [
here
]
Built With
julia
python
tableau
Try it out
public.tableau.com | Challenge 2 - Team Merlion | Analysis of Climate Risk & Adaptation Measures in North America | ['Nathanael Wong', 'Egwin Fan'] | [] | ['julia', 'python', 'tableau'] | 3 |
10,321 | https://devpost.com/software/the-regenx-factor | RegenX Factor Tool : Start Screen
RegenX Factor Tool : Start Screen - Hover
RegenX Factor Tool : Company-City Bioregional Risks
Inspiration
Our team is working on the development of a more comprehensive tool - the RegenX Investor Scenario Tool (
https://conservationx.com/project/id/1600/regenxscenariotool
) - which uses AI and science-based scenarios to put ESG data in context for investors. This tool will comprise cross-sector data analysis, degenerative versus regenerative scenarios, and supporting narratives to guide investors towards regenerative investments. It will serve investors by potentially reducing risk in their portfolios and surfacing new opportunities.
Given the importance of CDP data in the wider ESG landscape, we chose to enter this hackathon to test some of the ideas and principles in our tool development process, in the spirit of collaboration and sharing with CDP, a critical stakeholder in the climate-aligned investment space.
What it does
Our solution to CDP’s Challenge #1 seeks to indicate where silos can be taken down to increase collaboration, and to demonstrate the direction of travel in terms of regeneration for North American companies and cities.
We used AI to look for regenerative indications, based on the Future-Fit Business Benchmark's goals and technical information. We chose this as a proxy for the best compilation of science-based and context-based targets.
How we built it
For this iteration we focused on water data as a pilot but the approach can be applied to any element of a business and its sustainability initiatives. Our intention is to broaden the scope of the data categories - e.g. to climate and forests - and to increase the sophistication of the AI discovery process.
Within the array of survey questions we prioritized CDP Corporate water and CDP City responses that relate to strategy and targets because we feel these best describe how a company / city sees its purpose, and because these free-form fields are the hardest to work with efficiently so the AI tool can accelerate the analysis.
Challenges we ran into
We needed to find a way to reconcile disparate data with a clear understanding of the characteristics of regeneration. This required several iterations of “training” the AI tool to recognize certain words and phrases.
We also encountered a challenge with the fundamentals of the data. These disclosures are voluntary and there is no clear standard for much of the information - especially the responses that could indicate how committed a company is to regeneration.
Accomplishments that we're proud of
Our regeneration benchmarks draw on objective, science-based targets. This represents a shift away from relative comparison towards context-based ESG analysis, which is a critical distinction for generating net-positive impact.
Our simple, intuitive visualizations help users find opportunities for bioregional cooperation between cities and corporations.
What we learned
We learned that it is possible to use AI to discover seeds of regeneration in current sustainability frameworks.
What's next for The RegenX factor
We will continue to refine the AI tool to accurately identify companies on the path to regeneration. We will also broaden the tool’s discovery process beyond water risk to include climate and forests, and to seek opportunity-related activities as well as risks.
We will also be engaging directly with potential users of this tool - specifically long term institutional investors - to accelerate the shift of capital into regenerative channels.
Built With
figma
google-cloud
python
spacy
tableau
Try it out
public.tableau.com
github.com
github.com | Challenge 1 - The RegenX factor | Our solution draws on CDP data, intuitive visualizations and AI analysis to discover potential for city-business collaboration to accelerate bioregional regeneration. | ['Sumeet Sandhu', 'Aurélien Chaumet', 'Tami Lee', 'Cathy Chiba', 'B. Lorraine Smith'] | [] | ['figma', 'google-cloud', 'python', 'spacy', 'tableau'] | 4 |
10,321 | https://devpost.com/software/utility-service-area-re-targets-for-cities | Inspiration
Cities, although bring utility reps to the table, largely make their climate action plans without collaborative data-models from their power utility providers. Assumptions are static, and get outdated as soon the plans are published (often as PDFs). By linking utility data for the service area, the city can autonomously track its grid emissions as part of its total emissions footprint. The synergy cannot be understated.
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Utility-service-area-RE-targets-for-cities
Built With
bootstrap
mapbox
r | Utility-service-area-RE-targets-for-cities | How Duke Energy can help Town of Chapel Hill, NC meets its targets | ['Sunny Sanwar'] | [] | ['bootstrap', 'mapbox', 'r'] | 5 |
10,321 | https://devpost.com/software/challenge-2-team-enigma-risk-analysis-for-each-facility | Inspiration
To Contribute to tackle climate change
What it does
A subset of CPD Dataset has been preprocessed and the water withdrawal values, location of the facility, Comparison to previous year and it’s Explanation are extracted and added to a csv file. The Facilities showing improvement / decline with time ( previous year) are located. A Word to Vector model is used to categorise the trend of the improvement / decline in terms of Explanation and water withdrawal values with high improved accuracy. Based on the predictions, the improvement / declining trend, critical zones are identified and represented in maps.
How I built it
Using Flask and all the powers of python.
Challenges I ran into
The dataset has lot of columns and rows. Preprocessing was difficult.
Accomplishments that I'm proud of
Contributed to identify risk zones
What's next for Challenge 2 - Team Enigma - Risk Analysis for each facility
More comprehensive risk analysis
Built With
flask
geopandas
leafelt
numpy
pandas
python
Try it out
github.com | Challenge 2 - Team Enigma - Risk Analysis for each facility | The Grades are identified for each facility are plotted in an interactive map (using Leaflet and Flask). Based on the grades Risk is analysed | ['SivaK18 Kailash S'] | [] | ['flask', 'geopandas', 'leafelt', 'numpy', 'pandas', 'python'] | 6 |
10,321 | https://devpost.com/software/challenge-1-climate-enthisiasts-h0s1fi | Inspiration
Understand the quantum of data, using data analytics.
What it does
The code, when applied to cities data, develops a word cloud, indicative of the major pressure points. While, for the corporate data, through neural network, develops attributes indicative of the general trend, according to requirement
How I built it
Understanding the questionnaires and the corresponding equivalent points, navigated us to eventually generate some results, which were required.
Challenges I ran into
Clearing and formating the raw data was indeed a herculean task. Manual cleaning of city data was tedious. As most of the data points being qualitative, it was difficult to understand and compare.
Accomplishments that I'm proud of
We could effective leverage the skills at our disposal, although not sufficient enough, to tackle this mammoth task.
What I learned
From the analysis of the data, it is evident to us that, effective commitment and delivery alone is the way ahead to achieve the Paris Agreement target.
What's next for Challenge 1 - Climate Enthisiasts
As students of sustainability management, we would leverage these insights in driving effective climate related projects.
Built With
python
Try it out
github.com | Challenge 1 - Climate Enthisiasts | Climate mitigation is at the heart of initiatives by both cities and corporates. The data suggests that, increased traction towards implementation would prove beneficial. | [] | [] | ['python'] | 7 |
10,321 | https://devpost.com/software/compute-reigns-supreme | null | <br> | <br> | ['Tim P'] | [] | [] | 8 |
10,322 | https://devpost.com/software/quarterway | Inspiration
When looking into problems facing the black community, mass incarceration was one that really drew my attention. Looking further, I found that one of the greatest issues was that people are worse off after leaving prison than when they got in. This led to any conviction being a lifelong ball and chain, and I sought to fix that.
What it does
It's a portal that allows incarcerated people to take classes made by professionals, participate in job trainings made by companies, apply for work, and look for housing while imprisioned
How I built it
I tried my best to keep the tech stack as basic as possible, most javascript is inessential and a lot of functionality lies in the server to make it so that computers with limited access to the internet can still use the website with minimal issue. The server is run using flask, and the rest is pure html and javascript . Databases are handled using mongodb
Challenges I ran into
Keeping things simple and trying to use as few javascript libraries as possible was a unique challenge for me that I took as a major learning experience. The other big challenge was front-end, it really is not my specialty and I think it shows.
Accomplishments that I'm proud of
This was my first time deploying a webapp, and it was a great learning experience. Writing both the class creator and class window using nothing but plain html and javascript was one of the greatest tasks I've ever undertaken, but I think it turned out alright.
What I learned
Definitely brushed up on my javascript and this was my first time using a digitalocean droplet to do anything. I'm not a big linux guy, so that was pretty fun to learn
What's next for Quarterway
Important
If you want to experience the full website I have to manually assign admin privileges to you, so get in touch with me over discord or devpost or message "holanow" within the website.
Built With
bootstrap
flask
html
javascript
python
Try it out
quarterway.online
github.com | Quarterway | Turning prison into an additive and developmental experience | ['Hendrick Ducasse'] | ['First Place'] | ['bootstrap', 'flask', 'html', 'javascript', 'python'] | 0 |
10,322 | https://devpost.com/software/covidnet-jq97oa | Our site's homepage.
Site homepage (ctnd).
A diagram showing the relationship between the various components in our project.
covidNet by Anirudh Kotamraju and Kailash Ranganathan - A Deep Learning Powered Coronavirus Visualization and Prediction Software
Inspiration
Coronavirus is undeniably the most major problem of current times, but it seems that quarantine and the effects it is having on the global market and on people’s lives are influencing a new wave of openings, and with it, an even stronger and more potent virus.
People are not adhering to social distancing as much, and while we understand their perspectives to want to quickly resume their normal lives, we wanted to deliver an objective and informative way to show people that coronavirus is more potent and spreading faster than ever.
To do this, we built covidNet, a realtime web app that uses up-to-date coronavirus data to display the growth of the virus in all US states and also use deep learning to give predictions and insights into how coronavirus will grow over the next 30 days using recurrent neural networks. This will be able to give a better insight into how coronavirus could grow over standard regression and curve-fitting models in place.
What it does
covidNet delivers a neat and clean UI straight to your device that gives visual data for all 50 US states on total cases and how they have grown since the start of the coronavirus outbreak. But the main attraction is the prediction curves, where we trained individual “recurrent neural network” models for each of the 50 states to analyze how the virus has grown over the past few months and continue the curve to predict the virus’s cases over the next 30 days, a lookahead from today. Quick highlights for predicted (total) cases tomorrow, in 3 days, and in one week are also visible for each of the states. The website is updated daily.
Each day, a Google Cloud Virtual Machine automatically starts up. It gets the new data for the day, and automatically trains each of the 50 models using the new Johns Hopkins data (not from scratch, but starting from the previous day’s trained models). It then uploads the new models’ predictions for the historical time and the next 30 days into a Github repository as well as the model files for the next day’s training. Whenever a user visits the website (hosted on Heroku), the predictions are taken from this Github repository. Thus, both our models and website are automatically always up to date with the newest trends in each state's fight against the pandemic.
With this project, we are able to give well organized and accurate predictions using state-of-the-art deep learning methodologies of what the virus could become in each state if further action is not taken. We hope that this will help present the true danger of the uncontrolled virus and encourage preventive action to be taken in the future.
How we built it
We used Dash and Plotly for our frontend, libraries especially relevant for visualizing data science results. With this, we are able to efficiently and effectively integrate our neural network prediction backend with a clean frontend all in Python with some CSS formatting.
The model updating happens on a Google Cloud Virtual Machine. It is configured with CRON to automatically start up at a certain time and run a startup bash procedure each day. This procedure begins training the models and pushing the csv and model files to our main github repository, where these results are integrated with our frontend. It features a streamlined python script that fetches data from Johns Hopkins, formats it and retrains 50 state models, and saves those to files as well as their historical and 30 day future predictions to a csv. The models are trained using 2 layer deep LSTM neural networks, with dropout rates of 0.2-0.3 implemented to prevent overfitting. The model files are saved so that on the next day, rather than starting training on the dataset and next day’s data from scratch, the training can load in the preexisting model and continue from there, making the model more accurate as time goes on.
The website is live and anyone can access it at
https://covid-net.herokuapp.com/
. Because our training is scheduled, the website and models are automatically updated daily without us having to do anything.
Challenges we ran into
Because LSTM’s are more complicated structurally (and time-dependent as opposed to normal ANNs) than normal feed-forward neural networks, our analysis of coronavirus time series from raw data was quite difficult. We spent a long time devising algorithms to convert the data from raw text (from the Johns Hopkins coronavirus dataset) to properly formatted and normalized tensors to run through our LSTM but were able to generalize this process and train a model given state data just by inputting the state name into our program. With this data our models devised, we were able to quickly create interactive graphs with it to display on our website.
Furthermore, one of the most important parts is that the whole program updates daily automatically, meaning that we don't have to manually change anything and the models will automatically take data from the dataset, continue training from the previous day's models, and fit to the new data while becoming more accurate. This was extremely hard, as we had to go from a python script that ran one model at a time to one that took data, formatted it, and trained and saved all models in an organized manner. Furthermore, integrating the frontend and backend using Github was also a challenge between configuring the GCP Virtual Machine and Heroku.
Accomplishments that we're proud of
We are proud that we were able to write the neural network, train 50 individual models on 50 individual datasets (one for each state), and deliver it in a functioning and visually pleasing UI in the timeframe of the Hackathon. We were able to functionally link the backend neural network Tensorflow model with the frontend Dash and Plotly web app and in the end, could deliver a useful and easy to use visualization of current coronavirus statistics for all 50 states and our deep learning predictions for future cases starting with the next 30 days. Because daily updates from a virtual machine have zero room for error (or the whole website comes crashing down), our process for automatic updates is robust, reliable, and organized well so that connections between backend and frontend are clear (through GitHub). We are also proud of the completely automated model and data update process, which updates the models using *
bash scripts on Google Cloud, then writes them to Github, and the Heroku app accesses those updated data files on Github and presents them to clients on a real time basis. *
What’s next for covidNet
Our application and neural network still have some refining to go through, even though it works quite well for all 50 states as a prediction device. We wish to make a bigger, deeper, and more powerful LSTM network to detect more subtleties and insights in the coronavirus data, and also bring in more variables, such as the openings of states, different social distancing orders, and other factors that may affect the spread of the virus. We already expanded on this project by going from only 37 states in a static website initially to a realtime, updated daily website with not only more accurate results but new data and extra training every single day. Perhaps with more computational power and a multivariate system, we will be able to not only predict coronavirus cases, but simulate different paths for the virus using different societal and community parameters, such as level of lockdown, average interaction among crowds, and others.
We hope you all stay safe and have fun :)
Built With
dash
github
google-cloud
heroku
numpy
pandas
plotly
python
scipy
tensorflow
Try it out
covid-net.herokuapp.com
github.com | covidNet | A Deep Learning Powered Coronavirus Visualization and Prediction Software | ['Hoponga (Kailash Ranganathan)', 'Anirudh Kotamraju'] | ['Second Place'] | ['dash', 'github', 'google-cloud', 'heroku', 'numpy', 'pandas', 'plotly', 'python', 'scipy', 'tensorflow'] | 1 |
10,322 | https://devpost.com/software/tempest-awycgp | Home Page
Storm Dashboard
Predicted Damage Probability Map
Predicted Monetary Damage Map
Embedded Hurricane Map
Hurricane Monetary and Severity Predictions
Upload Before and After Image
Predicted Damage Visualization
Example Damage Visualizations
Inspiration
As millions of people suffer throughout the nation from the sweeping problems of Natural Disasters, our team has reflected on how we might assist the people who lose anything and everything. These storms are responsible for the losses of billions of dollars in and thousands of lives.
Our team was determined to
severely mitigate
the losses generated from storms by predicting the costs and impacts of them. In order to have a
civic
impact, we wanted to help communities and governments adapt and more effectively respond to weather disasters. We wanted to become
civically engaged
in our government and community, and we realized providing software to solve massive problems was the best way to do so, especially during quarantine. We hope our solution will bring together the overarching national community of citizens affected by disasters and encourage government, crowd sourced planning to combat these detrimental effects.
Thus, we took a unique approach from the common hackathon project.
Instead of creating an application meant for general use, we developed an application specifically for state and city governments. We plan to implement our software as part of a nationwide government plan to promote smarter disaster response and efficient planning. Instead of having a grassroots approach to helping the community, we believe using the government’s platform is the best method of outsourcing our solution. Since governments often utilize outside developers to build applications, we believe our website fills a normally unoccupied niche, and projects like this should be encouraged in the hackathon community.
Thus, we developed Tempest, an application that uses ML to allow governments to prepare for storms and disasters by providing visualizations and predicting important statistics.
What it does
Tempest is a unique progressive web application that lets users and governments predict the outcomes of natural disasters. Using web scraped data, we were able to predict where storms would end up causing most damage and create interactive visualizations to aid the process.
We first developed a tornado model, which can predict the probability that a tornado does severe damage as well as the monetary value of the damage. We trained our model on data from NOAA, which contains tornado data such as wind speeds, duration, and azimuth values. Our model then outputs a magnitude probability from 0 to 1, with 0 being no impact and 1 being devastating. In addition, our model also predicted the monetary damage from each storm in dollars. We trained our model using
AI-Fabric from UiPath
, allowing us to train all our models at fast speeds. Our map includes completed tornadoes from Sept. 2019 to July 2020, and we also predicted tornadoes from the upcoming month of August since data exists for it. We exported all our map data by month from our python model, and from there we fed it into a map visualization we found through insightful documentation. This allows governments to adequately prepare for disasters and speed up recovery and minimize costs.
Even more dangerous than tornadoes are hurricanes. We embedded a map of upcoming hurricanes from the website LivingAtlas.org. We then used our tornado model and retrained it on this hurricane data. More importantly, our model takes the information and outputs both the magnitude of the hurricane on the Saffir-Simpson Hurricane Wind Scale, which classifies hurricanes on a scale of 1-5, based on data such as wind speeds and temperatures. We displayed the three upcoming hurricanes in the US. Additionally, we also output how much monetary damage each of the upcoming hurricanes will cause along with a satellite image of the storm, allowing residents and local governments to allocate proper funds and shelter themselves as much as possible.
Hurricanes can often produce floods that can ravage and destroy communities. Understanding how floods will cause damage allows communities to rebuild faster, reducing costs and time without a home. Thus, we developed a Style Transfer model that allows city planners to prepare for the aftermath of floods, which can visualize the damage in a location due to a flood. City planners will upload an image of the location before and during the flood, and our algorithm will predict the damage to the location and output a picture of what the damage will look like. The model finds commonalities in the images and keeps outstanding features from the flood image in order to properly display the damage. We deployed a portion of this model on our website to test, as the entire model couldn’t be deployed due to size. With this information at hand, city planners can swiftly respond to floods and prepare for the aftermath of disasters.
How we built it
After numerous hours of wireframing, conceptualizing key features, and outlining tasks, we divided the challenge amongst ourselves by assigning Ishaan to developing the UI/UX, Adithya to connecting the
Google Cloud
backend and working on implementing the interactive map features, Ayaan to developing our hurricane and flood models, and Viraaj to developing the tornado model and implementing and retraining the hurricane model.
We coded the entire app in 6 languages/frameworks:
HTML, CSS, Javascript
,
R
,
Python
(Python3 /iPython), and
Flask
. We used
UiPath
for training our algorithm. We used
Google Cloud
and
PythonAnywhere
for our backend. We developed our interactive maps using
HTML
and
R
, and embedded weather websites using web scrapers. We deployed part of our PyTorch model on PythonAnywhere using
Flask
. We hosted our website through
Netlify
and
Github
.
In order to collect data for these models, we developed web scrapers. We created a web scraper to scrape live-updating weather websites. For our home page, we got data from the NOAA. For our hurricane model, we collected previous data from Medium and webscraped for upcoming data using
Arcgis
. For our aftermath algorithm, we were able to deploy a version on PythonAnywhere which takes the two input images and creates an aftermath image. However, since we don’t have access to a cloud GPU, creating the image takes a while each time, so we didn’t completely deploy it.
Challenges we ran into
The primary challenge that we ran into was developing our geographic models. Since the data was very complex and requires cleaning, we weren’t sure how to start. Luckily, we were able to do enough EDA to understand how to develop the models and utilize the data. Training these models was also a huge challenge, and we saw that it was taking a long time to train. We luckily found
AI-Fabric from UiPath
, which allowed us to train our models easily in the cloud. While we were not able to deploy our models, as they are too large to deploy on free and available servers, as long as governments give us images and data, we can give them cost predictions.
Accomplishments we are proud of
We are incredibly proud of how our team found a distinctive yet viable solution to assisting governments in preparing and responding to disasters. We are proud that we were able to develop some of our most advanced models so far. We are extremely proud of developing a solution that has never been previously considered or implemented in this setting.
What we learned
Our team found it incredibly fulfilling to use our Machine Learning knowledge in a way that could effectively assist people who may lose their homes and livelihoods. We are glad that we were able to develop a wide range of predictive and generative models to help a vast range of people. Seeing how we could use our software engineering skills to impact people’s livelihoods was the highlight of our weekend.
From a software perspective, developing geographic models was our main focus this weekend. We learned how to effectively combine web scrapers with machine learning models. We learned how to use great frameworks for ML such as
UiPath
and transfer learning. We grew our web development skills and polished our database skills.
What is next for Tempest
We believe that our application would be best implemented on a local and state government level. These governments are in charge of dealing with hurricanes, floods, and tornados, and we believe that with the information they acquire through our models, they can take steps to respond to disasters faster and more effectively.
In terms of our application, we would love to deploy our models on the web for automatic integration. Given that our current situation prevents us from buying a web server capable of running the aftermath model frequently, we look forward to acquiring a web server that can process high-level computation, which would automate our services. Lastly, we would like to refine our algorithms to incorporate more factors from hurricanes to more accurately predict damages.
Our Name
Tempest is a creative synonym for wind related storms.
Built With
css
google-cloud
html
javascript
python
r
Try it out
tempestai.tech
github.com | Tempest | Using ML to prepare for storms and disasters | ['Adithya Peruvemba', 'Ayaan Haque', 'Ishaan Bhandari', 'Viraaj Reddi'] | ['1st Place Overall', 'Third Place', '1st Place'] | ['css', 'google-cloud', 'html', 'javascript', 'python', 'r'] | 2 |
10,322 | https://devpost.com/software/helping-hand-49x0c6 | Homepage
Create New Post
Feed
Inspiration
There's so many people around us who need help that we'll never know, whether it be the people we pass by as we go to work, the people playing at the park you always jog at, or even the other customers at the coffee shop you always drink at. At the same time, even when people want to help, there's also a stigma of inconvenience around the idea of aiding somebody. Attempting to address both problems, I was inspired to create a website that would bring into light people's needs, make helping someone out more convenient(and thus encourage more people to help each other), and advocate the idea of our local community looking out for each other.
What it does
Helping Hand shows posts from users who need some form of help or would like to offer help within a quarter-mile range. Users can double click to extend a "helping hand" to the other user's post, notifying the other user, create their own post to offer or ask for help, and view their saved and their own posts.
How I built it
I used Javascript, HTML, CSS to create the website. I used Google Maps API calculate the location of each user and determine which users were within range of each other. I used Firebase to save each post information.
Challenges I ran into
Figuring out how to use Firebase and Google Maps API.
Accomplishments that I'm proud of
Actually making the website work, along with being able to notify users when somebody else has decide to select their post.
What I learned
How to use Firebase and Google Maps API.
What's next for Helping Hand
Create user profiles and have a filter option
Built With
css
firebase
google-maps
html
javascript
visual-studio
Try it out
github.com | Helping Hand | A website that allows people to help others during their daily activities | ['CharlotteY2003 Yang'] | ['Honorable Mention'] | ['css', 'firebase', 'google-maps', 'html', 'javascript', 'visual-studio'] | 3 |
10,322 | https://devpost.com/software/floodify | Prediction page
Satellite image analysis
Damage heatmap
UPDATE AUG 3 2020: As a proof of concept, our web app currently deems Mumbai as "Unsafe" and at risk for a flood, and if you search up Mumbai weather, there are multiple reports from sources such as NDTV proclaiming that Mumbai is facing intensely heavy rain and flooding. Check out the link below.
Link -
https://www.ndtv.com/mumbai-news/mumbai-rain-heavy-rain-floods-parts-of-mumbai-city-on-red-alert-for-2-days-2273668
What makes FloodML Unique? / Originality
Due to the large amounts of flood-related data available for the US, creating a model to predict and determine future floods in the US is a relatively unpretentious task. However, given the extremely limited data available regarding floods in India, we chose to challenge ourself to innovate a method to create a prediction model for the Indian Subcontinent. Thus, instead of using the more natural satellite image analysis, we opted for a new and innovative method. We chose to analyze and mine flood reports from local news sources in India, from which we extracted the location and time frame of the flood. We then extracted weather conditions – temperature, max temperature, wind speed, cloud cover, humidity, precipitation – at the time and location of the floods, which allowed us to create a robust dataset for effective predictions. This unique approach is what sets FloodML apart.
Inspiration
Floods are one of the most dangerous and frequent natural disasters in the world.
According to the World Resources Institute,
over 80% of India's population, that is, 1.08 billion people, are at risk due to floods. In the recent Kerala flood tragedy, over 100 people lost their lives, and over 15,000 houses and buildings were swept away
in the torrential rains. These kinds of floods happen almost every single year in many prone areas, and cause major damage to life and property. The major cause of this is the overflowing of rivers, reservoirs and other water bodies due to extensive rainfall during the monsoon season.
Furthermore,
climate change is increasing the risk of floods worldwide
, particularly in coastal and low-lying areas, because of its role in extreme weather events and rising seas. The increase in temperatures that accompanies global warming can contribute to hurricanes that move more slowly and drop more rain, funneling moisture into atmospheric rivers like the ones that led to heavy rains and flooding in California in early 2019. Meanwhile,
melting glaciers and other factors are contributing to a rise in sea levels that has created long-term, chronic flooding risks
for places ranging from Venice, Italy to the Marshall Islands. As such, the
risk and impact of floods is continuing to slope upwards.
Our team wanted to help solve this problem, so we created FloodML , a web application to predict floods and their impact before they even happen. Then, we display this information in an interactive graphical format, making the information compelling and easy to understand for people and governments alike.
Socioeconomic Cause
Floods cause an economic loss of nearly
40 billion USD annually worldwide
, and
15 billion USD per year in India alone.
Massive amounts of damage is caused to life and property almost every single year due to floods, and for many people, the
destruction of their property could ruin their livelihoods.
These
people are left displaced in their own nation
, without much help. FloodML strives to uphold the saying
‘an ounce of prevention is worth a pound of cure’,
and create a
cost effective
solution for everyone to have equal access to, including governments, and the citizens of the nation. Reallocating and redistributing resources to areas in need is essential, and could mean the
difference between life and death for flood victims.
Thus, our team wants to help
bridge the inequality gap
between people who have access to a multitude of resources and those who aren’t as fortunate.
What it does
FloodMLis our solution to floods in India. It is a web app that
uses advanced machine learning algorithms to predict future floods based on the weather forecast data – precipation, wind speed, humidity, temperature, maximum temperature, cloud cover – over the next 15 days, while allowing users to effectively visualize current and upcoming floods.
The app has 4 core components:
1. Plots
The 3 visualizations on the plots page are bubble plots that display flood predictions, damage predictions, and heavy rainfall predictions across India, taking in factors such as precipation, wind speed, humidity, temperature, cloud cover, as well as previous data history. Plots:
The first plot is our flood prediction plot, which shows our ML powered prediction of where a flood is going to occur, marked by red dots.
The second plot is a precipitation plot, showing the forecasted precipitation data across the nation, with larger bubbles indicating more precipitation.
Lastly, the third plot is a damage analysis plot, which shows the estimated cost and damage for various places in India, based on the flood risk prediction and population size. The size of the bubbles indicate the extent of predicted monetary damage, measured in USD.
2. Heatmaps
The 3 heatmaps show flood predictions, damage predictions, and heavy rainfall predictions across India, taking in factors such as precipitation, wind speed, humidity, temperature, cloud cover, as well as previous data history. Plots:
The first plot is our damage analysis plot, which shows a cost and damage analysis, with the colorscale of the heatmap indicating the extent of predicted monetary damage, measured in USD.
The second plot is a precipitation plot, showing the forecasted precipitation data across the nation, with the darker red areas indicating a greater volume of precipitation.
Lastly, the third plot is a flood prediction plot, which shows our ML powered prediction of where a flood is most likely to occur given the forecasted environmental factors, marked primarily by the darker red spots on a continuous colorbar.
3. Satellite Images
Our satellite image analysis displays the volume of precipitation over various cities in India for different months. In order to create this feature, we
analyzed netCDF4 formatted data from NASA's Global Precipitation Measurement Project, and produced geo-referenced plots
using a combination of libraries, namely numpy, matplotlib, and cartopy. We then displayed our processed images on our web application for users and governments to view.
4. Predict Page
On our predict page, the user simply enters the name of any city in the world. Our app then automatically
fetches the weather forecast data of that city in realtime, runs this data into our Machine Learning model, and gives instantaneous results, which include the flood prediction, the temperature, the maximum temperature, the humidity, the cloud cover, the windspeed, and the precipitation.
How We built it
The dataset
Our goal was to predict floods from weather data using machine learning. Obtaining flood-related data at a sufficient scale over the Indian Subcontinent proved to be a challenging task, with limited available data. As such,
we innovated a two-step method of obtaining this data, which first mines flood reports from news sources, and then retrieves historical weather conditions
based on temperature, maximum temperature, humidity, cloud cover, windspeed, and precipitation in accordance with the extracted flood data. This method aims to form a connection between environmental factors and floods. Thus, for the dataset, we first scraped the website
http://floodlist.com/tag/india
using the python beautiful-soup 4 library. This website provided us with information about past and current floods India, as well as their date and location. We then used the Visual Crossing weather API to obtain historic weather data such as precipitation, humidity, temperature, cloud cover, and windspeed in those areas and during those times. We also performed several data augmentation techniques on this data set, which enabled us to significantly increase the diversity of data available for our training model, without actually collecting new data.
ML model
Our machine learning model is based on the python sci-kit learn library. We used pandas to generate a data-frame for the dataset, and then tried various machine learning models from Logistic Regression to K-Nearest Neighbors to Random Forest Classification. After experimenting heavily with all of these models, the
Random Forest Classifier gave us the highest accuracy of 98.71% on the test set.
We proceeded to save our model in a pickle file.
Data Visualization
We first obtained a dataset of the major cities and towns in India (around 200 of them) along with their latitude, longitude and population. We then obtained the numerous weather factors in each city using the weather API and ran the data into our machine learning model. Next, we plotted the data from the model on various different types of maps, using Plotly chart studio. The maps represent
various data such as flood prediction, precipitation analysis, and damage estimates,
in the form of scatter plots, heat-maps, and bubble plots. The damage estimates were calculated based on flood prediction and population. We also produced
geo-referenced satellite images for various cities in India,
based on retrieved data from NASA's Global Precipitation Measurement project.
Front-end and hosting
Our web app is based on the Flask python framework. We rendered HTML templates – with CSS for styling and Javascript for added functionality – and integrated it with our machine learning models and datasets via the flask back-end. We then used Heroku's hosting service to host our web application for everyone to try!
Challenges We ran into
Our biggest challenge was in mining and collecting data to build our models and data visualizations. Given the extremely limited existing data available for floods and water related factors in India, scraping quality data was a challenge. We used a combination of weather API's and scraping techniques to
create and compile an accurate and effective dataset.
We also struggled with integrating the plots with our web app application, being our first time working with Plotly. Lastly, we faced a lot of git merge conflict issues due to different encodings of csv files and pickle versions across different computer platforms.
Accomplishments that We're proud of
We are extremely proud of compiling and creating a dataset that can
accurately and effectively reflect the current and forecasted situation of floods in India,
as well as allow us to make future predictions. We are also proud to have expanded our machine learning skills by testing out new models, and ultimately implementing a model with over 98% accuracy. Lastly, we are proud to have
integrated various data augmentation, data mining, and date manipulation techniques,
together with our model, to create detailed and sophisticated, yet compelling and easy to understand plots for data visualization.
What We learned
First and foremost, we learned a great amount of web scraping and data mining, through our collection of data from websites as well as API's. We also
learned techniques to manipulate and augment that data to create more effective datasets
that provide us with better visualizations. Since it was our team's first time using Plotly, we also learned how to use plotly chart studio to create great visualizations. Lastly, we also
expanded our machine learning skills
through the testing of various models, especially the random forest classification model.
What's next for FloodML
We would like to expand our web application to
cover cities in countries all around the world,
and to make our visualizations and predictions
accessible to people across all nations,
in an effort to prepare people and governments to the best of their ability.
Our team also believes further scientific analysis of satellite data could help critically in flood detection. Thus, we would like to
expand to create an image classification model
to detect signs of upcoming floods from satellite images.
Most importantly, our team is proud to have created a web application that could potentially help people and governments prepare for and reallocate resources for floods, potentially saving thousands of lives and millions of livelihoods.
Built With
beautiful-soup
css3
flask
heroku
html5
javascript
machine-learning
python
Try it out
github.com
floodml.herokuapp.com | FloodML | Helping people and governments prepare for and reallocate resources for floods using machine learning. | ['Veer Gadodia', 'Nand Vinchhi', 'Mihir Kachroo'] | ['Honorable Mention'] | ['beautiful-soup', 'css3', 'flask', 'heroku', 'html5', 'javascript', 'machine-learning', 'python'] | 4 |
10,322 | https://devpost.com/software/custom-acronyms | Home
Edit
Text 2 Speech, Download, Email, SMS
Import presets
Receive emails
Receive SMS messages
Inspiration
To make messaging easier for the average person, and for professions that include a substantial amount of acronyms such as Doctors and Pilots to communicate with co-workers faster especially when time is crucial.
What it does
It allows anyone to create their own custom acronyms so they can save time while messaging others. You can add, search, delete, and overwrite acronyms. Our application has common acronyms out of the box such as "ikr" or "btw", but users can also add additional presets. Currently, there are three presets that can be imported: everyday, medical, and piloting. We also created some fancy features such as text to speech, download, email, and SMS.
How we built it
With Golang as the server-side language and HTML/CSS/JS on the frontend. This was done by creating an API on the server.
Challenges we ran into
Some git issues and plenty of bugs.
Accomplishments that we're proud of
Teamwork, speed, our product is easy to use!
What we learned
Daniel and I learned each other's workflow which boosted efficiency.
What's next for Custom Acronyms Retro
We hope to deploy it just for fun on a basic home server.
Built With
css3
golang
gorilla
html5
javascript
net/http
Try it out
github.com | Textify - Custom Acronyms | It allows anyone to create their own custom acronyms so they can save time while messaging others. You can use features such as text to speech, download, email, SMS, and use presets! | ['John Lins', 'Daniel Goldenberg'] | ['Honorable Mention'] | ['css3', 'golang', 'gorilla', 'html5', 'javascript', 'net/http'] | 5 |
10,322 | https://devpost.com/software/mporio-bidding-app | Inspiration
Buying a gift card is one of the
best ways
to support small businesses during the pandemic. We wanted to utilize the power of economics to enable a regular person to support their local businesses. We were looking to create a method in which people can donate to businesses in the cheapest and most effective way possible.
What it does
We created a web app where users can bid on gift cards and put gift cards up for auction.
Key Terms
auctioneer: user who put up a gift card for auction
bidder: user who specifies a value they would like to buy the gift card for
highest bid: the highest value so far that any bidder wants to buy the gift card for
base bid: the minimum amount of money that the auctioneer will sell the gift card for
The Auctioneer
The auctioneer cannot bid on their own gift card to artificially increase the "highest bid" displayed.
Auctioneers can specify how long they want their auction to last.
The auctioneer can specify the base price for the bids. All other bids must be above the base bid to be registered.
The auctioneer can see the email of the highest bidder and the price they bid. Others can only see the highest price bid.
The gift cards do not display on the homepage if the current date is not between the start and end of the auction.
The Bidders
The highest price and the highest bidder will be updated if someone bids a value greater than the highest bid and greater than the base value.
The bidders can see the initial value of the gift card (how much the auctioneer bought it for) and the business it was bought from.
Bidders can also view the base price and the highest bid.
The site automatically updates after any changes.
System of Accountability
The auctioneer's email will be displayed to all potential bidders. This leaves the auctioneer accountable for their supposed gift card. Potential bidders can contact the auctioneer to confirm legitimacy of the gift card. If the auctioneer fails to provide this, bidders likely won't bid on the gift card. It benefits both parties if the auctioneer is honest about the gift card.
Example
Say I'm interested helping out my local business, Malmart. I go ahead and buy a $100 gift card from Malmart. However, I want to minimize the net cost of this gift card, so I go over to
Mporio
and create an account. I register my gift card and put it up for a ten-day-long auction. I specify the base bid to be $75, because I don't want to sell my $100 gift card for less than that. Over those ten days, I get a few emails from interested bidders. I let them know, in some form, that my gift card is, indeed, real. After the ten days, no one can bid on my gift card anymore. I see that the highest bidder bid $90 on my gift card. I go ahead an contact the highest bidder through their email provided on Mporio, and I close the deal with them. I sell my $100 gift card to them for $90. In the end, my net loss is only $10, but Malmart still has the $100 I gave them. Through Mporio, I was able to multiply the effect of the amount of money I "spent" by ten. I only lost $10, but I gave $100 of support to my local business Malmart.
How we built it
We used the firebase realtime database to store our data. We also used firebase authentication to incorporate an account system that supports two different methods of authentication.
Challenges we ran into
We ran into various different bugs with firebase as we were figuring out how to use it for the first time!
Accomplishments that we're proud of
We're really proud of fully integrating a database into our project.
What we learned
This was our first time using firebase, so we learned a lot about the documentation and practicality of it.
What's next for Mporio
We're hoping to expand our web app to supporting more forms of currency. We might look into having an automatic converter. Once we get enough data, we may also want to add a feature using machine learning that predicts how much the gift card will sell for. This could help the auctioneer know what price to expect.
Built With
firebase
javascript
Try it out
mporio.github.io
github.com | Mporio | A simple and effective method of assisting small businesses—by bidding on gift cards. | ['Swetha Ashok'] | [] | ['firebase', 'javascript'] | 6 |
10,322 | https://devpost.com/software/record-me | Ask other nearby to record your police interaction
Inspiration
The story of our group starts in
Brooklyn
, where the four of us met each other for the first time just before the quarantine. As time passed we saw a movement of fighting injustice and our neighborhood took to the streets. We kept in touch and decided to tackle a project based on our personal and local experience.
As programmers, we saw a lot of new innovation in the space of recording evidence. Siri commands and panic buttons became a hot commodity. Even the ACLU created an evidence recording app that sends the footage to their offices. But a lot of the new solutions focus on making the things we would normally want to do more
convenient
or simply just a bit
faster
.
We believe modern technology can do better than that! Our lives revolve around gathering data at a greater scale than at the personal scale. The future is about leveraging
more
data and
more
access to make
more
progress as a society. We believe in the goodness of people, and their willingness to help others. So our app was focused on giving would-be good Samaritans the access to data they need in order to help them help others.
What it does
Our application is a sort of panic button. When encountering a situation that may require evidence, it's hardly the best time for you, the person in need, to take out your camera and start recording. In recent times we've seen how footage from altercations can change the outcome of cases and help get justice for those who need it the most.
The panic button
is the main feature. Using GPS data, it will notify people in the area with the app that you need help gathering evidence. If someone nearby sees the push notification and is nearby they can be of help just by recording what happens.
Following up
if you pressed the panic button, it will take you to a follow up screen so that you can let the people who obtained evidence for you know whether you need it or you are fine.
Communicating
for those who were nearby, they might have something to say or evidence to offer and they can respond to your request and follow up after the event.
Access
to all the data about the incidents and how they were resolved is also available through the app and you can see events that happened in your vicinity.
How we built it
For the backend, we used Ruby on Rails to serve as an API for our data models. Following RESTful practices we have created a relational database and an API that responds to all of our requests.
For the frontend, we used React-Native with the Expo platform. We used expo-notifications, react-native-maps, react-navigation, redux, thunk, react-native-community's picker and async-storage to supplement the basic Expo package.
Challenges we ran into
We had to think about what could go wrong. Legal issues are real, police harassment is also real so we had to make our app without usernames or logins. It is anonymous so that people can feel protected while they try to help others.
Accomplishments that we're proud of
Our group has an age range of over a decade and we all had different family and living circumstances during the quarantine. Despite all the challenges of scheduling and struggling with our own situations we got together and kept communicating to finish our project.
What we learned
The more we talked about our project with our peers, the more interest we heard and we got a lot of advice as far as making the project grow in the future. We learned most of all that people wanted to get involved in the movement, that change needs to happen and people want to help,.
What's next for Record Me
Integration with other apps, public cctv access and simply links to legal resources were areas that can help our app. Other features we would like to expand on is Google/Siri/Bixby command integration as well.
Built With
expo.io
javascript
postgresql
react-native
ruby
ruby-on-rails
Try it out
github.com
github.com | Record Me | To raise police accountability by requesting other users to record interactions based on GPS data. | ['Frank Gerold', 'Dominic Chu', 'Guligena Aierken', 'FanZhong Zeng'] | [] | ['expo.io', 'javascript', 'postgresql', 'react-native', 'ruby', 'ruby-on-rails'] | 7 |
10,322 | https://devpost.com/software/visually-impaired-s-assistor-03i1g2 | What it does
This model aims to capture the vicinity of a blind man using a camera and extract the information(name) about all the objects in view in the form of text and finally convert the text into sound. It aims to provide the blind person with a descriptive view of his surroundings by providing him an insight into the objects in his vicinity. Also, it will be able to extract any kind of text, if any, present in the image. To enable blind children learn in a classroom setting where normal children read textbooks, our project will extract all the text present in an image and convert it to braille script (which can be fed to braille printers further) or the text can be read out by our software as per the student
requirements.
In the COVID scenario where people touching contaminated surfaces are at a high risk of being prone to the virus, visually impaired are at even higher risks as have to touch the surfaces of objects to make out what they are. Through this solution, they will only have to click a picture of the object to make out what it is without having the need to touch it with their hands.
Built With
numpy
opencv
pillow
pyperclip
pysimplegui
pytesseract
python
pyttsx3
yolo
Try it out
github.com | Visually Impaired's Assistor | An assistor for the visually impaired to help them get an idea about their vicinity, convert any captured text to audio and braille. | ['kinster007'] | [] | ['numpy', 'opencv', 'pillow', 'pyperclip', 'pysimplegui', 'pytesseract', 'python', 'pyttsx3', 'yolo'] | 8 |
10,322 | https://devpost.com/software/singly | Firebase Storage
Firebase Database
PythonAnywhere Console
Profile
Phonation Modes
Leaderboard
Singing recording
Inspiration
One of the biggest risks to the mental well-being of young people is social media. Numerous studies show that social media exacerbates exclusion, anxiety, and depression. We sought to create an inclusive, positive-reinforcement based social app for something that everybody loves: singing! Singing has many benefits: it boosts creativity, creates a sense of community, and helps with social integration, especially among children. All four of us have always been enthusiastic about singing and music, although we have never been very good at it. We decided to use our expertise in signal processing and machine learning to solve this problem. Our app helps people and connect with their friends and get better at singing.
What it does
Our app allows people to become better singers. Users can access our song collection and sing over a song of their choice. Our signal processing algorithm calculates and returns a score to the user showing the pitch difference between the original recording and their recording. Users can also view a leaderboard for each song showing the highest scoring individuals. There is also a profile tab where users can play back all their recordings and view their pitch improvement overtime. Finally, users can use our powerful vocal classification deep learning algorithm to find out their phonation mode. The phonation mode classifier categorizes someone’s singing into 4 different classes: breathy, neutral, pressed, and flow. This tells the singer how their vocal cords and larynx are contracting when they sing, and what adjustments must be made in singing technique to sing in a certain style.
How we built it
We built our client app in React Native and Expo. We use Firebase for user accounts, data storage for the leaderboards, and for storing all the song recordings. The algorithms and ML model are run on Flask in a PythonAnywhere production server. The client app communicates with the server through a custom RESTful API. The vocal comparison algorithm was built using numpy and librosa. First, the comparison algorithm takes two audio files and generates a series of chroma vectors. Chroma feature vectors are generated by taking short time Fourier transforms of the data and binning the transformed data into the 12 different Western musical tones. These accurately describe the pitch of the audio files. These features are averaged for each file. The average features are then turned into probability distributions to account for differences in total energy between the two sound files. Finally, the statistical Bhattacharyya distance is calculated between the two distributions to find how close the two sound files are in pitch. The vocal classification model is a convolutional neural network built with tensorflow and keras. The model was trained using mel-frequency cepstral coefficient (MFCC) features from 910 audio files of different phonation modes. The model achieved a 93% training accuracy and an 89% test accuracy.
Challenges I ran into
There were a lot of challenges in synchronizing the Firebase database, our production server in PythonAnywhere, and our client app. Specifically, we had a lot of difficulty getting asynchronous functions to work the way we wanted in React Native. Often the PythonAnywhere server would look for files not yet uploaded to the Firebase because the async function was not finished.
Accomplishments that I'm proud of
We were able to successfully create an Accounts feature in our first attempt using React Native Expo. After learning how to use React Native, we developed a navigation bar leading to each page. We also developed a very extensive signal processing algorithm in Python. This algorithm was based on modern techniques in MIR, or music information retrieval. We had to figure out how to adjust for different vocal timbres and different amplitudes in the files. Through our research, we found that chroma features and probabilistic distance were the best ways to determine the differences in pitch. Finally, we also managed to train a CNN with relatively high accuracy for vocal classification.
What I learned
This is our first time developing a mobile app with react native. Additionally, we learned how to integrate firebase into our react native applications.
What's next for Sing-ly
We believe that we can take Sing-ly public, publishing it on the App Store and Google Play Store. Before this publication, we want to expand our Firebase file system to accommodate more users and more files. We also plan to receive a song licensing agreement to provide more songs. We would also create a friends/followers system to help facilitate more connection between people.
Built With
flask
keras
librosa
python-anywhere
react-native
tensorflow
Try it out
github.com | Sing-ly | An app to improve your singing and compete with others | ['Sid Srivastava', 'Aman Wadhwa', 'Victor Hu', 'Chris Gu'] | [] | ['flask', 'keras', 'librosa', 'python-anywhere', 'react-native', 'tensorflow'] | 9 |
10,322 | https://devpost.com/software/wecare-0fjkb9 | Summary: Home Screen of app, which allows you to report your symptoms, check the status of your circle, and get daily personalized tips.
Home Screen of app, which allows you to report your symptoms, check the status of your circle, and get daily personalized tips.
Map Screen of app, which allows you to see hotspots around you and your Care Circle.
Care Circle screen of app, which allows you to health conditions of your loved ones.
Web interface, which can be used to update the symptoms. It is synced with the app.
The problem WeCare solves
As the outbreak of COVID-19 continues to spread throughout the entire world, more stringent containment measures from social distancing to city closure are being put into place, greatly stressing people we care about. To address the outbreak, there have been many ad hoc solutions for symptom tracking (e.g.,
UK app
), contact tracing (e.g.,
PPEP-PT
), and environmental risk dashboards (
covidmap
). However, these fragmented solutions may lead to false risk communication to citizens, while violating the privacy, adding extra layers of pressure to authorities and public health, and are not effective to follow the conditions of our cared ones. Until now, there is no privacy-preserving platform in the world to 1) let us follow the health conditions of our cared ones, 2) use a statistically rigorous live hotspots mapping to visualize current potential risks around localities based on available and important factors (environment, contacts, and symptoms) so the community can stay safer while resuming their normal life, and 3) collect accurate information for policymakers to better plan their limited resources.
Such a unified solution would help many families who are not able to see each other due to self-quarantine and enable early detection and risk evaluation, which may save many lives, especially for vulnerable groups. These urgent needs would remain for many months given that the quarantine conditions may be in place for the upcoming months, as the outbreak is not reported to occur yet in Africa, the potential arrival of second and third waves, and COVID-19 potential reappearance next year at a smaller scale (like seasonal flu). There is still uncertain information about immunity after being infected and recovered from COVID-19. Therefore, it is of paramount importance to address them using an easy-to-use and privacy-preserving solution that helps individuals, governments, and public health authorities. The closest solution is
COVID Aggregated Risk Evaluation project
, which tries to aggregate environment, contacts, and symptoms into a single risk factor. WeCare takes a different approach and a) visualizes those factors (instead of combining them into a single risk value) for more tangible risk communication and b) incentivizes individuals to regularly check their symptoms and share it with their Care Circle or health authorities.
WeCare Solution
WeCare is a digital platform, both app and website. Both platforms can be used separately, and with freedom of choice towards the user. The app, however, will give users more information and mobile resources throughout the day. Our cross-platform app enables symptom tracking, contact tracing, and environmental risk evaluation (using official data from public health authorities). Individuals can add their family members and friends to a Care Circle and track their health status and get personalized daily updates. In particular, individuals can opt-in to fill a simple questionnaire, supervised by our epidemiologist team member, about their symptoms, comorbidities, and demographic information. The app then tracks their location and informs them of potential hotspots for them and for vulnerable populations over a live map, built using opt-in reports of individuals. This map is accessible on the app and our website. Moreover, symptoms of individuals will be tracked frequently to enable sending a notification to the Care Circle and health authorities once the conditions get more severe. We have also designed a citizen point, where individuals get badges based on their contributions to solving pandemic by daily checkup, staying healthy, avoiding highly risky zones, protecting vulnerable groups, and sharing their anonymous data.
Our contact tracing module follows guidelines of Decentralized Pan-European Privacy-Preserving Proximity Tracing
(PEPP-PT)
, which is an international collaboration of top European universities and research institutes to ensure safety and privacy of individuals.
What we have done during the summer.
We have updated the app-design. New contacts with Brasil, Chile and Singapore. We have also made some translation work with the app. Shared more on social media about the project and also connected to more people on slack and LinkedIn.
We have consolidated the idea and validated it with a customer survey. We then developed a new interface for
website
and changed the python backend to make it compatible with the WeCare app. We have also designed the app prototype and all main functionalities:
Environment: We have developed the notion of hotspots where we have developed a machine learning model that maps the certified number of infected people in a city and the spatial distribution of city population to the approximate number of infected in the neighbourhood of everyone.
Contact tracing: We have developed and successfully tested a privacy-preserving decentralized contact tracing module following the
(PEPP-PT)
, guidelines.
Symptoms tracking: We have developed a symptom tracking module for the app and website.
Care Circle: We have designed and implemented Care Circle where individuals can add significant ones to their circle using an anonymous ID and track their health status and the risk map around their location.
You can change what info you want to share with Care Circle during the crisis.
The app is very easy-to-use with minimal input (less than a minute per day) from the user.
We are proud of the achievements of our team, given the very limited time and all the challenges.
Challenges we ran into
EUvsVirus Hackathon Challenge opened its online borders recently to the global audiences which brought together plenty of people of different expertise and skills. There were challenges that we faced that were very unique, as we faced a variety of communication platforms on top of open-source development tools.
Online Slack workspaces and Zoom meetings and webinars presented challenges in forms of inactive team members, cross-communications, and information bombardment in several separate threads and channels in Slack and online meetings of strangers that are coordinated across different time zones. In developing the website and app for user input data, our next challenge was in preserving the privacy of user information.
In the development of a live map indicating hotspot regions of the COVID-19 real-time dataset, our biggest challenge here was to ensure we do not misrepresent risk and prediction into our live mapping models. We approached Skill Mentor Alise. E, a specialist in epidemiology, who then explained in greater detail that the proper prediction and risk modelling should take into account a large number of factors such as population, epidemiology, and mitigations, etc., and take caution on the information we are presenting to the public. Coupled with the lack of official datasets available for specific municipalities for regions, we based geocoding data mining of user input by area codes cross-compared with available Sweden cities number of fatalities, infected and in intensive care due to COVID-19.
The solution’s impact on the crisis
We believe that WeCare would help many families who can see each other due to self-quarantine and enable early detection and risk evaluation, which may save many lives, especially for vulnerable groups. The ability to check up on their Care Circle and the hotspots around them substantially reduces the stress level and enables a much more effective and safer re-opening of the communities. Also, individuals can have a better understanding of the COVID-19 situation in their local neighbourhood, which is of paramount importance but not available today.
The live hotspot map enables many people of at-risk groups to have their daily walk and exercise, which are essential to improve their immunity system, yet sadly almost impossible today in many countries.
The concept of Care Circle motivates many people to invite a few others to monitor their symptoms on a daily basis (incentivized also through badges and notifications) and take more effective prevention practices.
Thereby, WeCare enables everyone to make important contributions toward addressing the crisis.
Moreover, data sharing would enable a better visual mapping model for public assessment, but also better data collection for the public health authorities and policymakers to make more informed decisions.
The necessities to continue the project
We plan to continue the project and fully develop the app. However, to realize the vision of WeCare we need the followings:
Social acceptance: though being confirmed using a small customer survey, we need more people to use the WeCare app and share their data, to build a better live risk map. We would also appreciate more fine-grained data from the health authorities, including the number of infected cases in small city zones and municipalities.
Public support: a partnership with authorities and potentially being as a part of government services, though not being necessary, to make it more legitimate. This would increase the level of reporting and therefore having a better overview and control of the crisis.
Resources: So far, we are voluntarily (and happily) paying for the costs of the servers. Given that all the services of the app and website would be free, we may need some support to run the services in the long-run.
The value of your solution(s) after the crisis
The quarantine conditions and strict isolation policies may still be in place for upcoming months and year, as the outbreak is not reported to occur yet in Africa, the potential arrival of second and third waves, and possible COVID-19 reappearance next year at a smaller scale (like seasonal flu).
Therefore, we believe that WeCare is a sustainable solution and remains very valuable after the current COVID-19 crisis.
The URL to the prototype
We believe in open science and open-source developments. You can find all the codes and documentation (so far) at our
Website
.
Github repo
.
Other channels.
https://www.facebook.com/wecareteamsweden
https://www.instagram.com/wecare_team
https://www.linkedin.com/company/42699280
https://youtu.be/_4wAGCkwInw
(new app demo 2020-05)
Interview:
https://www.ingenjoren.se/2020/04/29/de-jobbar-pa-fritiden-med-en-svensk-smittspridnings-app
Built With
node.js
python
react
vue.js
Try it out
www.covidmap.se
github.com | WeCare | WeCare is a privacy-preserving app & page that keeps you & your family safer. You can track the health status of your cared ones & use a live hotspot map to start your normal life while staying safer. | [] | ['2nd place', 'Best EUvsVirus Continuation', 'Best Privacy Project'] | ['node.js', 'python', 'react', 'vue.js'] | 10 |
10,322 | https://devpost.com/software/covid19_tracker-mzsc6y | This project was bootstrapped with
Create React App
.
Available Scripts
In the project directory, you can run:
npm start
Runs the app in the development mode.
Open
http://localhost:3000
to view it in the browser.
The page will reload if you make edits.
You will also see any lint errors in the console.
npm test
Launches the test runner in the interactive watch mode.
See the section about
running tests
for more information.
npm run build
Builds the app for production to the
build
folder.
It correctly bundles React in production mode and optimizes the build for the best performance.
The build is minified and the filenames include the hashes.
Your app is ready to be deployed!
See the section about
deployment
for more information.
npm run eject
Note: this is a one-way operation. Once you
eject
, you can’t go back!
If you aren’t satisfied with the build tool and configuration choices, you can
eject
at any time. This command will remove the single build dependency from your project.
Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except
eject
will still work, but they will point to the copied scripts so you can tweak them. At this point you’re on your own.
You don’t have to ever use
eject
. The curated feature set is suitable for small and middle deployments, and you shouldn’t feel obligated to use this feature. However we understand that this tool wouldn’t be useful if you couldn’t customize it when you are ready for it.
Learn More
You can learn more in the
Create React App documentation
.
To learn React, check out the
React documentation
.
Code Splitting
This section has moved here:
https://facebook.github.io/create-react-app/docs/code-splitting
Analyzing the Bundle Size
This section has moved here:
https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size
Making a Progressive Web App
This section has moved here:
https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app
Advanced Configuration
This section has moved here:
https://facebook.github.io/create-react-app/docs/advanced-configuration
Deployment
This section has moved here:
https://facebook.github.io/create-react-app/docs/deployment
npm run build
fails to minify
This section has moved here:
https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify
Built With
css
html
javascript
react
Try it out
github.com | covid19_tracker | A covid 19 tracker including map representation, graph representation, total live cases representation and country wise details of the cases, recovered and deaths | ['Fayaz Azeem'] | [] | ['css', 'html', 'javascript', 'react'] | 11 |
10,322 | https://devpost.com/software/deep-surveillance-using-a-i-deep-learning | On finding the suspect it will store the image of suspect to the database and inform to cops or personal security
Inspiration
Increasing the security to women and children in public areas and can detect a missing children
spot the suspicious and most wanted criminals wandering around especially in Airports/Public places
surveillance of militant activities at the borders
Securing home by identifying the visitors
Making offices more secured by detecting unknown people moving around
What it does
This is a project on building an A.I cam for the detection of the suspicious activities/people around us
If it finds the suspect it will store the image of suspect to the database and inform to cops or personal security
How I built it
Using a Deep Learning Model Trained on my own by using 35,887 data set of images to predict the suspicious activities.
Challenges I ran into
Collection of a data set of 35,887 data set of images
Training the model using CNN Algorithm
Accomplishments that I'm proud of
It finds the suspect it will store the image of suspect to the database and inform to cops or personal security
What I learned
A.I is boon to world if used in right way to add humongous results for our daily activities
What's next for Deep Surveillance using A.I & Deep Learning
Using my skills, knowledge and expertise in the field of deep learning to build a better/innovative society.
Built With
cnn
deeplearning
keras
machine-learning
opencv
python
tensorflow
Try it out
github.com | Deep Surveillance using A.I & Deep Learning | This is a project on building an A.I cam for the detection of the suspicious people/activities in public areas/home | ['Mohit Venkata Krishna Ch'] | [] | ['cnn', 'deeplearning', 'keras', 'machine-learning', 'opencv', 'python', 'tensorflow'] | 12 |
10,322 | https://devpost.com/software/garbagedetector | Recycle.AI - The Smart Cleaner
Why we need Recycle.AI?
Recycle.AI Logo
RecycleAI
Introducing Our Initiative, recycle.AI!
Our Initiative
Recycle.AI is a multiphased initiative utilizing modern technologies such as Machine Learning, robotics, and game development to encourage the responsible usage and consumption of our natural resources around the world.
We noticed that most of recyclable materials and products are not actually recycled but rather thrown into landfills. Note that roughly 80% of rubbish in landfills is recyclable which is honestly, way too much!
Our initiative focuses on the youth, households, organizations, and the government, aiming to encourage recycling amongst our local and the global community.
Youth Phase
Introduction
The youth phase is a recycling-based game where children can score points by correctly identifying if an object is recyclable or not, helping them understand recycling from a young age. The game is built for any setting and simply works by clicking the right bin for the item that is to be disposed of. It can be used to teach children how to recycle in classrooms or can be an educational activity children can do with their parents.
How it is built
Using C# and the unity game engine, the CAD was made in Autodesk inventor
Households and Society Phase
Introduction
We built a tool targeted at small organizations and households that can identify if an object is recyclable or not. The tool is implemented on our website where the user can read about our mission as well as utilize our tool to ensure they are disposing responsibly
How it is built
Using Machine learning and HTML, namely using the tf.keras framework to build a convolutional neural network, and the Flask API to connect the python with the HTML. The essence of it is that we trained a Deep Convolutional Neural Network to classify images using a dataset and label them based on one hot encoded values.
Issues and how they were overcome
The main issue regarding the performance of the network was addressed when we increased the size and shape and made the network far bigger, however we did not get enough time to trial and error the design so we were not able to improve on our second iteration. The padding of the images inputted by the user. This was fixed using a Pillow implementation that added padding:
`` python
if test:
inputData = Image.open('test/'+testfile)
else:
inputData = Image.open(testfile)
desiredSize = (512,384)
im = inputData
old_size = im.size
ratio = float(max(desiredSize)) / max(old_size)
new_size = tuple([int(x * ratio) for x in old_size])
delta_w = desiredSize[0] - new_size[0]
delta_h = desiredSize[1] - new_size[1]
padding = (delta_w // 2, delta_h // 2, delta_w - (delta_w // 2), delta_h - (delta_h // 2))
new_im = ImageOps.expand(im, padding)
im = new_im.resize(desiredSize, Image.ANTIALIAS)
im.show()
inputData=im
The model
The model can be seen below:
model.add(layers.Conv2D(32, (4, 4), activation='relu', input_shape=( 384,512, 3)))
model.add(layers.MaxPooling2D((2, 2)))
model.add(layers.Conv2D(64, (4, 4), activation='relu'))
model.add(layers.MaxPooling2D((2, 2)))
model.add(layers.Conv2D(64, (4,4), activation='relu', input_shape=(384, 512, 3)))
model.add(layers.MaxPooling2D((2, 2)))
model.add(layers.Conv2D(128, (4, 4), activation='relu'))
model.add(layers.MaxPooling2D((2, 2)))
model.add(layers.Conv2D(128, (4, 4), activation='relu'))
model.add(layers.Flatten())
model.add(layers.Dense(128, activation='relu'))
model.add(layers.Dense(64, activation='relu'))
model.add(layers.Dense(32, activation='relu'))
model.add(layers.Dense(16, activation='relu'))
model.add(layers.Dense(6))
this is a multilayered convolutional neural network using 4x4 filters and the relu activation function, our loss metric was Mean Squared Error.
Society Phase
Introduction
This concept involves utilising robotics to effectively locate and manouver small, recyclable materials to recycling bins, as they are often not as readily avaliable as regular dustbins. These robots should be autonomous, however as of now the robot has just finished construction, it is able to pick objects with up to 8 inches in diameter awith the idea being to install a bin bag in the large empty space to store the objects.
How was it built
As evident in the CAD file it was built using the VEX Robotics V5 system, as of now, the components do not have the computational power to fully impliment an algorithm as computationally intensive as YOLO, and so we chose not to try port it to the system.
Complications
The robot only finished construction about 5 minutes before the video was being made and so it could not be showcased fully, but the CAD renders are avaliable on this page.
Quick overview
-The intake flaps increase the contact between the target and the bot
-The rubber treads on the intakes increase the traction of the intakes
-The 8:1 gear ratio of the drivebase ensures the robot operates at maximum speed and efficiency
Future plans for the robot
The final aim of this phase of the initiative is to implement the YOLO algorithm alongside the robot. This algorithm draws bound boxes around the images it is interested in in real time. The next step would be to implement PID controls so that the robot is able to meet its target without overshooting, by slowing down as it approached, or alternatively, using a gyroscope, or even odometry(i.e. position tracking) to maintain the robot's movements
Built With
bootstrap
flask
html
keras
python
tensorflow
Try it out
github.com
recycleAIdemo.ved07.repl.co
sharemygame.com
drive.google.com | Recycle.AI | Responsible consumption, reduced depletion | ['Vedaangh Rungta', 'Emmanuel Ma', 'Ishan Baliyan', 'Mahad Ali Khan'] | [] | ['bootstrap', 'flask', 'html', 'keras', 'python', 'tensorflow'] | 13 |
10,322 | https://devpost.com/software/headphone-compay | headphones
Inspiration
I myself love to listen music and dive deep in the melody of the lyrics and when i listen on my headphone felt like a heaven.
What it does
Just a landing page of products, but building these small projects gives a lot of inspiration .
How I built it
I built a layout using figma, then using VSCode i coded using HTML and CSS, i thought to add JS but it was unnecessary.
Challenges I ran into
I have design my own logo, texts and ofcourse layouts.
Being more creative with css.
Accomplishments that I'm proud of
what i designed first it was more then that. This actually made me proud and motivated me.
What I learned
Learned more about CSS adv. stuff.
What's next for Headphone Compay
I will add JS to make it more interactive.
Built With
css3
html5
Try it out
wavemagix.netlify.app | Headphone Compay | Magic of music | ['Uttam Shrestha'] | [] | ['css3', 'html5'] | 14 |
10,322 | https://devpost.com/software/edusafe-65nxwc | Inspiration
There has been a multitude of school shootings within the past 3 years. Students run out of the classroom when they hear a fire alarm. Kids are confused when they hear a tornado warning. A clear problem is that under a massive amount of stress, students and teachers simply don’t know how to react sometimes. This can lead to catastrophic consequences. This course will run students through simulations of many types of dangers that can be posed at schools whether it be natural disasters, school shootings, or simple scientific guidelines. It will ensure that students and teachers master these safety concepts.
What it does
The webapp has a plethora of courses that students can take. The teachers of classes can check on each student's progress and make sure the student is logging in and getting work done. The exploration division of the webapp allows for students to go over the Flinn Scientific Safety Contract and teaches students the names of different pieces of lab equipment with interactive 3d augmented reality models. We believe that seeing an Erlenmeyer flask or graduated cylinder in person is a lot easier than trying to memorize it off of images. The exploration division also features an interactive map for students to view past incidents around the world, and a news feed featuring the latest articles on school and safety. Being able to apply what they’ve learned to the real word is integral to retaining this vital information For the courses, we currently have fire safety, how to react to a school shooting scenario, and what to do in case of a tornado, and lab safety All three have courses that go through what to do in those situations so students do not panic when these issues arise in real life.
How we built it
The webapp was designed in Angular, using the Node javascript extension. Multiple APIs, such as the Google Maps API were implemented. The biggest challenges while designing were getting a user login system, getting an interactive map, and linking to 3d models. To build the 3d models, the echoAR API was used. From here, live models were linked as buttons on the webapp. As for actual course information, research had to be conducted into fire safety, lab safety, tornado safety, and more. It did help that all of us are currently students, since we already know most of the safety procedures. Ultimately, the development of the webapp relied on Angular and countless APIs for the amazing features we have implemented. (Due to the NewsAPI key being a developer key, the newsfeed does not populate in the demo link, but a working version is shown in the demo video.)
Challenges we ran into
Finding accurate course information and lab safety rules took more time than expected since we realized that the best information is vital when making courses that can change a students decisions in a life or death situation.
Accomplishments that we're proud of
We believe that EduSafe is a significant step in the right direction. In times where safety is of the utmost priority and digital interaction is becoming more prevalent, this application’s courses and AR implementations can be very important for a lot of people. We are extremely proud of the fact that this idea can make a genuine change in schools all around the United States and the entire world. Every time we see some type of disaster on the news, it’s truly saddening to see how these kids suffer. Taking the necessary precautions will help reduce this problem.
What we learned
Throughout this hackathon experience, we were able to learn about cool tools and technologies to help support this application with all of its features. We learned how to effectively pitch an idea, by incorporating personal experiences and detailed flowcharts to explain our thinking. On the technical side, we explored the possibilities of AR, surprised by the intuitive and effective echoAR tool, which enabled us to better support the courses. Finally, the execution of the webapp was a super cool learning process. We learned how to incorporate a Google Maps API into our webapp to allow for user interaction on our case map.
What's next for EduSafe
EduSafe’s unique integration of course certification and augmented reality demonstration allows for an innovative way of content mastery. Besides just school safety courses, we can also use this same technology for workplace safety training, pilot and passenger helicopter safety training, as well as amusement park training. This can also be implemented in the health field, as it can show people who are looking to get into working out the proper steps for each machine.
Built With
angular.js
google-maps
news-api
paper-kit-2-boostrap-ui-kit
Try it out
knahsirv.github.io | EduSafe | This idea consists of a website that allows students and teachers to master school safety concepts in a smooth and efficient manner | ['Vrishank Viswanath', 'Arya Agiwal', 'Zach Vazhekatt', 'Karthik Karuppiah'] | ['echoAR Challenge'] | ['angular.js', 'google-maps', 'news-api', 'paper-kit-2-boostrap-ui-kit'] | 15 |
10,322 | https://devpost.com/software/police-brutality-forum | Inspiration
Police brutality has been in the news lately so we decided we wanted that to be the subject of our project. After realizing that more mainstream social media sites are sometimes forced to take down or flag content related to police brutality we decided there was a need for a more independent community.
What it does
It is a forum for police brutality victims and allies to build a community where everyone can share their experiences and resources.
How we built it
We used flask as the framework for our web application. Flask handled the logic and served up the web pages coded using HTML. After completing a back-end and a basic front-end we used a CSS framework, Bootstrap, to make everything look better.
Challenges we surpassed
Creating the database and figuring out the relationship between Users and Posts, Preventing duplicate users/usernames & mismatched passwords during registration, Creating forms using WTForms, Figuring out notifications, Profile picture integration using Gravatar, Email website error notifications to administrators, Accepting Cryptocurrency donations through Coinbase
Accomplishments that we're proud of
We made a functioning website that can be used to help people who have been victims of police brutality.
What we learned
Web Development using flask
What's next for Police Brutality Forum
Next, we will continue to improve on the website by adding more features and sources and well as continuing to make the forum more user-friendly. Examples of upcoming features include implementing a like/dislike system and methods for sorting posts such as by popular and by most likes, password recovery through email, the ability to delete/edit posts, image/link support for posts, and the implementation of tags to sort posts into categories.
Built With
bootstrap
flask
html
jinja
python
sqlalchemy
werkzeug
wtforms
Try it out
github.com | Police Brutality Forum | A forum for police brutality victims and allies to build a community where everyone can share their experiences and resources. | ['Dhruv Batra', 'siya batra'] | ['Honorable Mention'] | ['bootstrap', 'flask', 'html', 'jinja', 'python', 'sqlalchemy', 'werkzeug', 'wtforms'] | 16 |
10,322 | https://devpost.com/software/victor-bh15ov | Inspiration
The recent Galvan Valley clashes between indian soldiers and chinese soldiers made me think that what would happen in a scenario when India will need more civilian Indian youth to join armed forces (as happened in Vietnam). We must ensure that every drop of our youth’s blood is ready to fight the enemy beside our soldiers.
The unhealthy eating habits and lifestyle of Indian youth be it of rural side or urban side is having a very disastrous impact. Most of our youngsters are indulged in a lifestyle where they refuse to have even a chunk of attention to their diet and workout regime. This corona crisis has also created a fear from gyms and fitness clubs which could last a few years. To skirmish this situation an app needs to be made which takes care of all the above issues.
What it does
All the good fitness applications already available at the playstore are made by international developers. Most of them are having paid subscriptions to diet planning facilities. Also these diets and recipes are kind of not meant for a normal Indian person for example Avocado smoothie, Lentil and Kielbasa Stew etc. A normal Indian don’t know these and can not even dare to make them as they are not easily available and are very expensive.
Victor uses the indian base foods like Roti, Dal, Chawal (Rice), Bhuna Chana (Roasted chickpeas), Dalia, Eggs etc. to make a user plan a healthy diet of those ingredients which are very affordable in indian sub continent and easily available. Victor also has the ability to analyse the food catalog entered by users for the macronutrients like carbohydrates, protein, fats and total calories, so that the user can see what is he eating and where is his diet lacking.
To boost metabolism of Indians, victor has the ability to provide daily workout sessions (cardio and resistance) which can easily be done at home without any special instruments or gymnasiums. After the workout session any user can approximately calculate the amount of calories he needs for the day to meet his goals be it weight loss or muscle gains. The food planning as discussed above can help him a lot in finding the right meals for his goals.
After this short introduction let’s see how the app works and where it is upto.
How I built it
I have used flutter (dart) to code the app and I manage state using the Provider package. For data persistence I am using shared preferences and sqflite. There are many other third party libraries also used.
Challenges I ran into
Maintaining state of the application, providing sessions, meal planning are some areas which took most of my wit. After failing and plethora of bugs i achieved something fine.
Accomplishments that I'm proud of
Able to make the most simplest fitness app for the less educated and elderly people , encouraging every folk out there to work out like soldier is something i am proud of.
What I learned
I learnt the art of managing state and using data persistence. After creating this project from scratch i find myself more confident.
What's next for Victor
I want this app to be used by a large number of youngsters across all India . As India is a diverse country the base foods also differ. It would be great if I am able to provide the app in local languages with local base foods to make it easy for everyone to maintain their health, no matter in which remote areas they live and what they eat . This needs your help. I would also like to increase the number of exercises in future. If certified nutritionists could help me too with more detailed analysis that could turn our app to a major success.
Built With
flutter
provider
sqflite | Victor | Sacrifices are needed to become victor. Work yourself out in a new simple way. | ['Shreshth Singh'] | [] | ['flutter', 'provider', 'sqflite'] | 17 |
10,322 | https://devpost.com/software/covid19-kit | dashboard
please check video for the features of the app
booking an appointment with the proctor/ faculty
project and document submission
creating channels for online teaching and mentorship
please check the mentioned github repo for the App. This app is for caretakers of patients with serebral pasly and people on wheelchais.
body temperature, heart rate, alarm functionality with data stored in the cloud database.
dues and assignments
messaging services
online proctored tests
Inspiration
During online classes, many students verbally harass the teachers and students of the class. This spoils the whole environment of the class, So we decided to block these students using speech recognition technology.
Then we all must have seen that delivering the things without contact has become a major problem, therefore we designed a hand gesture moving messenger who deliver things to Covid19 infected people in care centers.
What it does
The first part is a
remote education
android app which resolves all the problems stated above. It contains all the features a student will want in his/her app. We tried to involve every activity that we use to do in offline college times in this App. It consists of
Video call functionality
with a special feature of blocking students who are speaking abusive or bad words during a live session. The student will be reported to the admin of the app and all the records of the blocked student will be sent to the admin app. Admin can unblock the student again. Then our app contains a
chat room
for each classroom a student is enrolled in, it will allow the students and teachers to communicate as they use to do in Offline College. Then comes the appointment feature. Before contacting any teacher we have to make an appointment with him/her to ask for their time. So our App includes this cool feature of
appointment
for the students. This reduces the chaos and brings the working thing so that follows proper protocol. Teachers wanted an invigilation system to invigilate students during the test. In our App, we provided this feature by
camera proctored examination
feature. Under this a teacher can proctor all students through their webcams while the students are giving tests, also the teacher can pass their voice in the whole class to
convey messages
during tests. Also, our app has a feature of
assignment submission
. The teachers can upload the assignment questions along with the due date and students on the other hand can upload the solutions of these tests on the app itself.
How I built it
We used the android studio to build a remote education app. For backend, we used firebase realtime database. For identification of abusive words we used IBM speech to text services to convert the speech of the students in text and then we used this text in the loop to find whether he is abusing or not. We took the dataset of abusive words from Kaggle and gitHub.
For our IoT bot, we used the hand gesture sensor and on the basis of the gesture, the robocare bot will move and deliver thing to patients. It can also be used as a wheelchair.
Challenges I ran into
We faced many challenges like detecting and blocking students who speak the abusive language during the live class. We wanted to make something that everyone can relate with offline college activities. Therefore, we need proper planning and structure. The assignment section needed a proper structure to be executed.
Teachers all over the globe wanted a platform for cheat-proof examination. Our challenge was to make a cam proctored examination with cheat-proof features like on leaving the test you can not re-enter it.
Accomplishments that I'm proud of
We are proud of our abusive language detector system which blocks users when they speak bad words. Also, the structure we made is highly related to offline day to day activities. Our cam proctored test system is awesome, and it restricts the user from cheating and helps the invigilator to invigilate during a test.
What I learned
We learned, how to work with the realtime database, how to use IBM's speech to text services to detect abusive words. In this pandemic situation, we learned the complete use of GitHub and how to collaborate our work with teammates. Also, we learned some new IoT features which helped us to make the robocare bot.
What's next for Covid19 Kit
For future aspects we are planning to make a complete, general messenger system for private and government offices which they can use to share files, letters, assigning task and doing all other stuffs which people do in offline office hours.
Built With
android-studio
arduino
e-learning
education.com
firebase
ibm-watson
iot
Try it out
github.com
drive.google.com
drive.google.com | Covid19 Kit | An android app, an IoT device, and a Covid19 tracker, a complete kit for students, doctors, patients, and common people. An IoT bot to follow social distancing practices. | ['Ayush Sharma', 'Elio Jordan Lopes', 'Shaolin Kataria', 'Ritik Gupta', 'DEVANSH MEHTA'] | ['The Wolfram Award'] | ['android-studio', 'arduino', 'e-learning', 'education.com', 'firebase', 'ibm-watson', 'iot'] | 18 |
10,322 | https://devpost.com/software/voluntix | 📝 Usage
You can try out Voluntix at
voluntix.tk
.
If you want to create an event, make your own account, or just use ours:
Email
:
rgbhack@gmail.com
Password
:
rgbhack
💡 Inspiration
We realized that currently volunteer opportunities get shared by word of mouth or social media. With Voluntix we aim to create a centralized place where organizations or event organizers can share volunteer opportunities with their community.
🚀 What it does
Voluntix brings organizations and potential volunteers together by having a centralized platform where event organizers can create experiences and prospective volunteers can see upcoming events or opportunities near them.
🛠 How we built it
We used Firebase for hosting and authentication as well as Firebase's Cloud Firestore Database to store all of our data. In order to display our map, we used the TomTom API which we manipulate through some JavaScript code we wrote. The frontend was created using simple HTML and CSS. Our designs were made in Google Drawings.
🧪 Challenges we ran into
Finding a good map API
Converting street addresses into longitudinal and latitudinal coordinates
Responsiveness & mobile compatibility
🏅 Accomplishments that we're proud of
This was our team's first time attempting to use a map API. At first, we tried to use the Google Map's JavaScript API, however, we ran into many difficulties in addition to the fact that we had to pay for an API key. After a bit of research, we discovered the TomTom API. We were able to get it working very well and it was easily controllable through the JavaScript code we wrote. The map part of our project was definitely the hardest part and we had to work under a tremendous time crunch. We are very proud that we were able to get it working so well in the end.
🧠 What we learned
We learned a lot about geolocation and using a brand new API in a very short time.
🎓 What's next for Voluntix
Expand our product by introducing it to non-profits and volunteering clubs or organizations
Optimize our location finding to be much faster
Add volunteer hour tracking for users
Built With
css3
firebase
google-cloud
html5
javascript
maps
Try it out
voluntix.tk
github.com | Voluntix | A platform to bring you volunteer experiences. | ['Raadwan Masum', 'Aadit Gupta', 'Safin Singh', 'Rohan Juneja'] | [] | ['css3', 'firebase', 'google-cloud', 'html5', 'javascript', 'maps'] | 19 |
10,322 | https://devpost.com/software/mgassist-cupertino-hack-project-divya-venkataraman | home screen
vision impairment symptom
speaking/hearing impairment symptom
seizure symptom
headache symptom
mood tracker
help menu
Inspiration
My grandfather had meningioma brain tumor, and unfortunately passed away due to it. This inspired me to research more about the tumor, especially since neuroscience interests me immensely. Once I researched, and realized it was such a big problem in the community even today, I knew I had to create something to help the patients. Now I know that if my grandfather had my app when he had meningioma, he could have had a little bit of a longer life, instead of having to leave while I was only 5 years old.
What it does
MgAssist is an app that assists in the recovery management process of those with meningioma brain tumor. It is a tool to assist people with the different symptoms of meningioma (such as vision impairments, speaking/hearing impairments, headaches, and seizures) and allows doctors to track patients’ progress. The app uses algorithms to convert scanned text to an enlarged font, convert typed text to speech, provide a test to detect a possible risk of headaches or seizures in the near future, and track patients' mood for doctors to analyze trends.
How I built it
I built this app using Swift 5 and Xcode 11. I first designed the user interface of the app using the SwiftUI Storyboard, where I can implement buttons, images, and more elements. Then, I added code in the backend of the app, so that the scanned text can be converted to an enlarged font, convert typed text to speech, analyze the tests for headaches and seizures, and track the moods. Then, to test the app, I connected it to my dad's iPhone8, and was able to see the app's function, to make changes.
Challenges I ran into
When coding the image scanner (to convert into a larger font), I realized that I had designed the whole app using a tab view, rather than the single view. The vision framework code I used only worked in the single view. However, since I wasn't too far into the process, as I wanted to target the hardest parts of code (vision framework) first, it was relatively easy to transfer everything to a single view app project.
Converting text to speech was a huge problem of mine, because when the ringer of the phone is turned off, the voice won't come. It took me multiple tries, however, I finally tried the speech with the ringer on, and it worked!
There weren't too many tutorials in the new Swift5 code, and since I was learning most of the code in the process, is was a bit hard. However, I was able to find a few and work with them. I hope that in the future, I can provide some tutorials so that others won't run into this purpose.
Accomplishments that I'm proud of
I am proud that I was able to learn most of Xcode and Swift in the time given!
I'm proud that my initial plan for the app was carried out as I expected, although there were a few obstacles on the way, which is completely normal.
I'm glad that I was able to make an app that can actually make a different in someone's life, helping out the field I am so passionate in, neuroscience.
I'm proud of my incorporation of the vision and AVFoundation frameworks, since those were the most complicated parts of my code.
What I learned
I learned so much about Xcode and Swift in general. I mainly know JAVA, and learning this new language was insanely awesome.
I learned how to use Vision Framework, which I think is really cool, as I know that there are so many different apps that also have implemented Vision Framework after it came out, such as notes and google's scanning app.
I learned that it is possible to implement text to speech conversion using code! I wasn't sure if this would be possible using Swift, especially since I didn't know much to start with, however, I was able to do so by implementing the AVFoundation framework. This was incredibly cool to me, since this was so out of the box for me!
What's next for MgAssist - Divya Venkataraman
I'd like to add different tumors to the app as well, targeting their symptoms, rather than just the meningioma symptom, event though this is the most common. This is a large task, but I really hope to do so.
I'd like to publish this app to the App Store, so that others can benefit from it as well.
I'd like to reach out to some doctors and researchers in the neuroscience field about this app, to ensure that I can bring it to a new level, and maybe event find a sponsor.
- I will then be able to implement this app with actual patients, and possibly make a huge, positive difference in their lives
Built With
avfoundation
swift5
visionframework
xcode11
Try it out
github.com | MgAssist - Divya Venkataraman | MgAssist is an app that assists in the recovery management process of those with meningioma brain tumor. It assists people with the symptoms of meningioma and allows doctors to track progress. | [] | ['Raspberry Pi'] | ['avfoundation', 'swift5', 'visionframework', 'xcode11'] | 20 |
10,322 | https://devpost.com/software/solve-q603hg | Inspiration
To ease the stress from scratch in getting r.mesults from a dataset.
What it does
It carries out analysis on the data input and give future prediction.
How I built it
I imported some python packages and specified how different datasets showed be arranged either containing dates and time or not. Then split the data's and run predictions on them from different machine learning models, so the best model is choosen for prediction.
Challenges I ran into
How to clean any form of CSV datasets that will be imported for prediction.
Accomplishments that I'm proud of
Finally figured out to a larger extent on how clean datasets.
What I learned
How to reduce time working on a machine learning project.
What's next for Solve
Looking to making other forms of data possible like audios, images, videos and other data format.
Built With
flask
python
Try it out
github.com | Predictor | A app that can run predictions and give results from data input | ['Ugochukwu Nnachor'] | [] | ['flask', 'python'] | 21 |
10,322 | https://devpost.com/software/heard-helping-eliminate-all-racial-discrimination-app | GIF
Shared GitHub with
info@dubhacks.co
Inspiration
Despite the Civil Rights Act, Black Americans still face brutality and unequal conditions today.
Black Americans suffer a higher rate of fatal police shootings than any other ethnicity at 30 shootings for every one million Black Americans.
Black households have 1/10 The median net worth of white households
Black Americans are living in poverty at twice the rate of their white counterparts
Black Americans constitute a higher percentage of COVID-19 Deaths
Black Americans are incarcerated in state prisons at 5.1 times the rate of their white counterparts
Once convicted, black offenders receive longer sentences compared to white offenders.
Studies have shown that people of color face disparities in wage trajectory following release from prison
While people of color make up about 30 percent of the United States’ population, they account for 60 percent of those imprisoned. According to the Bureau of Justice Statistics, one in three black men can expect to go to prison in their lifetime.
As a minority myself, as in many countries, many of have know, seen or been one discriminated based on our differences and other people and this is cause that still has not been reduced to an optimal level. With all of these points in consideration, I felt as it is my responsibility to use my productive coding skills in order to develop a high level application in order to help people be heard, avoid and act against forms of racial discrimination.
Main Features of the App
First here is the news feed in the home page tab. It allows end user to obtain powerful, unbiased and truthful sources speaking regarding the topics of race, discrimination and protests in regards to real world events and the ability to quickly view if you choose. Here you see:. Overall this section helps inform the user and spread awareness.
Here is the Petitions Tab where users are able to choose a petition they would like to support in order to help take action for those respective reasons. Some of these include justice for Ahmaud Arbery and other such incidents. Here you see: This will help users quickly take action with the quickest approach rather than scavenging the web for petitions. You can click the view button and it. Overall, this section helps the user take action against racial discrimination.
Here in the Statistics tab where you can view all the numbers the app is calculating behind the scenes to provide data in order to take action. Here you see: ... More specific data stored behind the scenes can be provided to local lawmakers, legislative officials and the towns to push for actions in those areas to help improve society as a whole. Overall, this section helps the user take action against racial discrimination.
Now we move to our search tab where we have a maps UI displaying our locations. Due to some constraints, I am not able to use a physical phone. Hence this Iphone 11 simulator displays the default San Francisco location header on the map, where otherwise it would show your location. Here, we have a text input where we can type in a location and enter to see various results. Based on the location input, we find data regarding the amount of complaints in this city. Since this app has not published any complaints yet we see 0. Using a custom algorithm with multiple data points from various apis, it estimates the amount of potential occurrences of acts of discrimination. We also see a risk level in order to help you make a decision whether you are going to avoid this location or not. We also see the amount of people in help status, which is a status you can enable in order to alert people nearby in your city to help you. Additionally, their icon will come up on the map. End users will end up seeing it and this will help others respond by going to their location and responding in numbers to that act of racial discrimination. Additionally, we see how many HEARD users there are in this city to see others in support. Over hear we see a button we can click in order to send a data point to the app to show we have avoided the location we typed in, incrementing data counters by 1 to track it. If we go out, we see this button in order to go into “help” status. Overall, this helps users avoid certain locations based on multiple data points.
Now to the last part of our app.
Here is the complaint submission form where you can submit a complaint regarding a person, individual, location and specify details regarding an act of racial discrimination. Additionally, the user can attach a photo in order to identify the person who discriminated. This will help us take action against such people and reduce racial discrimination on the back side of the app and provide this information to such organizations that do. Additionally, this data will be posted to the backend in google firebase and the cloud where the data is stored and then is retrieved in this upcoming section where all users can see the various different complaints by users in their areas.
Here we refresh and see my complaint comes up and we have a simple UI displaying this information.
I used various apis such as the news api, react-native-maps api, expo’s location api, the api provided by google firebase making the backend so easy, and various libraries for easy and efficient styling. These apis helped me make this app in such a small period of time.
That is all for this app and I hope this app can help make the world a better place.
How I built it
During the progression of this application, I built I primarily with already existing libraries which helped me style my elements quite quickly. I used libraries such as react-native native base, react-native-elements and react-native vector-icons. For the many apis I used in this project a News API creating the feed of news, react-native maps api allowing for the maps UI, the Expo permissions and locations API making it very simple to take data points using their documentation, Google Firebase API to help me use a simple post method to post my data reducing tons of time and geolocation/geocoding api that came with expo permissions. All of these apis and libraries made it easier to make a high level application in such a tight time frame. Overall, I used APIs, Location Services, Geolocation, Geocoding, Google Firebase, to create an application for people to connect, use data to make decisions to go to a certain location, alert other users around them for help and take action using petitions and the technologies provided in the application.
For alerting others, getting location and the maps UI I used the react-native-maps api, geofencing apis provided by expo and geocoding to translate a lat and long coordinates into an address and visa versa to process the address given, share location if you are in 'help mode' and alerting others if there is someone nearby who needs help.
For the news, I used News API for a feed
For the complaint form, I used Google Firebase API to store and retrieve data, which I also used to store statistics which can be used in order to take action.
Challenges I ran into
Some last second challenges I ran to was the manipulation of the database on Google Firebase. While creating the video in fact, I realize that some of the parameters were missing and were not being updated properly. I eventually realized that the naming conventions for the some of the parameters being updated both in the state and in firebase got mixed up. Unfortunately this took way to long and results in me having to cut the video up into two different sections. I stayed up until 1am and got it done. Thanks to all the great documentation and other tutorials I was able to effectively implement the rest.
What I learned
I learned a lot. Prior to this, I had not had experience with geolocation, geofencing and other location services which I found quite fascinating after I was able to fully learn them. I also learned how to upload large amounts of data to Google Firebase, which was easy with the help of tutorials, which I had previously thought was hard. Additionally, I learned new styling elements such as how to created rounded images and permissions to the images directory which I was not previously familiar with. At the beginning of this project, I did not think I would finish. However, I had learned that after you gain enough time with certain things and learn how to do it and push yourself to do it, you realize it is much easier than anticipated.
Theme and How This Promotes Social Good
Overall, this application was created in order to help reduce racial discrimination
Design
I created a comprehensive and simple UI to make it easy for users to navigate and understand the purposes of the Application. Additionally, I used previously mentioned utilities in order to create a modern look.
What's next for HEARD (Helping Eliminate All Racial Discrimination) App
I hope to create an API endpoint for the algorithm I created in order to determined the estimated occurrences of racial discriminations and calculated risk level rather than having it on the app. In the long term, this will reduce complexity if the app becomes larger.
Built With
algorithm
api
cloud
expo.io
firebase
geofencing
google
javascript
news-api
postman
react
react-native
react-native-base
react-native-elements
react-native-maps
Try it out
github.com | HEARD (Helping Eliminate All Racial Discrimination) App | Helping everyone get heard, avoid, and act against discrimination against minorities using geofencing, geocoding, location services, google cloud and apis to bring awareness to, avoid and act against. | ['Om Joshi'] | ['Powerbeats3 Wireless Earphones + WOLFRAM AWARD + $250 Digital Ocean Credits', 'First Place'] | ['algorithm', 'api', 'cloud', 'expo.io', 'firebase', 'geofencing', 'google', 'javascript', 'news-api', 'postman', 'react', 'react-native', 'react-native-base', 'react-native-elements', 'react-native-maps'] | 22 |
10,322 | https://devpost.com/software/aashray | Project | a | a | [] | [] | [] | 23 |
10,322 | https://devpost.com/software/dragon-game | have fun
Inspiration
to develop a game
What it does
a dragon game
How I built it
with html5 css javascript
Challenges I ran into
Accomplishments that I'm proud of
the output of the project
What I learned
developing a game with javascript
What's next for dragon game
Built With
css
html5
javascript
Try it out
github.com | dragon game | fun and joy | ['Swetha Ramagiri'] | [] | ['css', 'html5', 'javascript'] | 24 |
10,322 | https://devpost.com/software/cov-care | Page shows requests of patient on site
Patient Details page
Login page
Register a new patient
Homescreen page of website
Login page for patient on app
Various Sign up options for patients with different medical background
Patient can update his/her medical parameters here
Sign up form for requesting hospitals
Inspiration
As the number of patients of COVID-19 continues to increase at an unpredictable rate, the number of beds in hospitals and centers set up by the government fall short of the requirement by a huge margin. The condition is so severe that the reports indicating the incidents of patients being kept on streets have surfaced recently. All patients are not required to be kept in specialized care units. Home quarantine and isolation with proper guidelines can be implemented in these less severe cases. This project is created to bridge the gap between the medical service provider and the patient.
What it does
Specialized care is expensive and not required by everyone, this will provide an inexpensive alternative to conventional methods.
-The extreme pressure on hospital beds will be reduced and more beds will be available to those in actual need.
-Early and efficient intervention and identification of suspected patients will help reduce the spreading of this highly contagious infection.
This service has two interfaces, which we will individually deal with in the subsequent sections:
Patient service side
The patients can install the android app and create an account. There is a choice between three categories which were already mentioned in the target user section. The patient then creates an account with the hospital of their choice. If the hospital is available then the patient can log in the app using their phone number as password, which can be changed later. The patient (or an active relative or nurse) can update the medical parameters viz, BP, Temperature, SPO2, Respiratory Rate, and AVPU value. The values entered are timely updated in the database and are monitored by the hospital on the website.
Moreover, each parameter has a set of information about it for instance, What is blood pressure?, How do we measure it? and other guidelines to use the instrument along with links to online tutorials to do so.
Hospital service side
Hospitals can register on the website by filling the sign-up form and can approve the registration of patients.
The dashboard of every hospital displays a list of patients by sorting them on the basis of their MEWS, displaying the more severe patients above and then the less severe once. The doctors can click on the specific patient account to see more details regarding his medical condition. Seeing the MEWS score and SPO2 values the doctors can decide which patients to immediately shift to the hospital.
How we built it
As mentioned above, we have two sides of this project i.e. app and the website and all the technical details are mentioned below:
Tech stack used:
-Java: the android app has been written in the Java language with the help of Android Studio.
-Django: the website is written using Django as the backend framework.
-Bootstrap: the frontend of the website is written using bootstrap.
-Firebase: Firebase has been used as the cloud backend service for the app.
-PostgreSQL: the database management system of the website.
Challenges we ran into
COVCare, as a service, can act as a bridge between medical practitioners and the patients. In order to accomplish this, this service requires active participation of the administration, hospitals and the patients. Fabrication of such a system was a major issue. We agreed upon a system of mobile application and a website to best suit our purpose.
We had to contact doctors to get real time information regarding the guidelines and monitoring protocols implementable currently.
Accomplishments that we're proud of
Certain features of the application that we are proud of and which make this project stand out are:
-This project not only helps the patient to connect with the doctors but also makes it easy for the doctors to analyze and monitor their patients.
-This project is very user friendly, the patients are provided with ample information so as to measure the parameters, they are provided with video links as well. The patients are reminded through notifications to fill in the data.
-No unnecessary information has been asked and the forms are kept informationally tight.
What we learned
This project requires the implementation of Django, BOOTSTRAP, and Java. We learned a great deal about the implementation of these languages to suit our requirements. Several bugs we encountered helped us to engage more with the project. Along with these technical skills we also acquainted ourselves with medical details regarding the coronavirus monitoring, classification of patients in L1, L2, L3 as well as people qualifying for quarantine. This project also motivated us to learn basic skills like Prioritization (80-20 Pareto Principle), team-work, video-making, and a variety of soft skills.
What's next for COV Care
Several essential features can be implemented to make this service more useful. Some of the various features we could not include due to time constraints-
-The application can be expanded to accommodate an information portal rendering important and correct information regarding COVID-19 to dispel all the fake news regarding it.
-A Patient-Doctor chat feature can be introduced to enable direct communication between doctor and patient.
-Notification service can be implemented to notify the worsening condition of a patient to the doctor.
-General improvement of layout and aesthetics.
-Some additional features to make the application easier to use.
-Expansion of the website to allow hospitals to monitor L2 patients in wards and to be notified when the patient needs to be moved to ICU.
Built With
android
android-studio
bootstrap
django
firebase
pyrebase
Try it out
github.com
praxiitr2.herokuapp.com
github.com | COVCare | A COVID Quarantine and Isolation Home Healthcare Service | ['Akanksha Verma', 'Ishan Rawat', 'Sarthak Sharma', 'Prakhar Gupta'] | ['Health Track', 'Open Water Accelerator Internship'] | ['android', 'android-studio', 'bootstrap', 'django', 'firebase', 'pyrebase'] | 25 |
10,322 | https://devpost.com/software/allurneeds | GIF
The Inspiration.
An innovator does not begin with a preconceived idea, rather the idea is a result of careful study and observation, and the innovation is the product of the idea. But, if the innovator cannot see then there will be no observation and so there will be no idea. Sometimes it is the small things that we don’t notice that cause the most problems. The same can be said for diagnosing conditions like far-sightedness or near-sightedness. Vision impairment is rising year on year, with global estimates of 237.1 million affected by moderate or severe vision impairment by 2020. Moreover, Uncorrected refractive errors (URE) and unoperated cataracts are the top global causes of vision impairment and over 80% of all vision impairments are preventable. Consequently, the Availability of vision assessment is limited in low/middle-income countries and minority groups in high-income countries. We think that stopping the decline of our innovators is all the inspiration we need.
The DESIGN of EYE CAN SEE.
Our project has two components:
The hardware part ensures that the eye test can be conducted at the right distance by alerting the user when they reach the right distance.
An Arduino was used along with an ultrasonic sensor, LED lights, and a buzzer.
We programmed the Arduino to give the distance of the user from the device using ultrasonic waves. The LED lights and the buzzer indicate when and where the user has to stop. The red light shines until the user reaches the right distance which is followed by the green light shining and the buzzer buzzing.
After the user has reached the correct distance for starting eye test, he can begin recording and reading the sentences on the screen. They progressively grow smaller to test 20/20 vision. After the user has finished speaking, the program will use the Google's Web Speech Kit to do voice recognition and display the text spoken on the screen. Furthermore, it will display the results of the eye test and give a value for vision (Ex 20/20 vision, 50/20 Vision).
This was done by initially using a HTML to create the basic layout of the website by adding components such as the button and the text. Then a script of javascript was added to make the website responsive and integrate the speech recognition API. Moreover, the algorithm for rating the vision was also implemented in this part. CSS was then use to make the HTML page look good by adding appropriate background color, font size and opacity.
Challenges faced during the course of the project.
The very first challenge we faced was our lack of experience in handling any sort of hardware. Only one member in our group had a basic understanding of how to operate Arduinos and code into them. It was very challenging to learn these basics and apply them in a very short timeframe. Another challenge would be our limited knowledge in the use of API’s on which the final component of our project was dependent on.
Accomplishments.
We are proud of having learnt how to write basic code for hardware in a short span of time. We also managed to create both a hardware and software component which can be effectively linked to each other which is a proud feat for your very first hackathon.
Lessons we learned.
We learnt how to as a team collaborate all our knowledge and understanding of all the different part of the projects (hardware and software) and make something that has a lasting impact on the society. Moreover, we most importantly learn how to code in Arduino and Javascript and use HTML and CSS to make the UI interface.
Further developments for EYE CAN SEE.
There are many other features that if improved would make a huge difference and perhaps could be of large scale use. Firstly, Operating the hardware and software in continuous tandem to give an automated response. Additionally, providing a better user interface which would enable the user to have a more engaging and exciting (game-like maybe)experience while having eye-tests so that they are encouraged to take eye tests from time to time. 2/3rds of the World's population have mobile phones so we would like to off course make an app for the same in the future. Lastly, our program tackles near-sightedness, so we aim to expand our program's application to hypermetropia, astigmatism, and even color blindness
Future Prospects.
As states in our inspiration, this project has a large potential is underdeveloped/developing countries. The issues of lack of medical Infrastructure and cost of healthcare are being tackled through our project.
Furthermore, EYE CAN SEE minimizes the need of periodic hospital visits. As a result, we are able to successfully test the eye without the interference of factors such as laziness, cost, and time. This advancement also allows elderly citizens with accessibility issues to get a eye check-up regularly.
Built With
arduino
css
google-web-speech-api
html
javascript
Try it out
github.com | EYE CAN SEE | More than just a EyeTest | ['Mohammed Ozair', 'Rishabh Saini', 'Parin Joshi', 'Fabin Joe Flasius'] | [] | ['arduino', 'css', 'google-web-speech-api', 'html', 'javascript'] | 26 |
10,322 | https://devpost.com/software/mask-detection-system | Project LOGO
User Interface
System detecting a mask is worn
System detecting no mask is worn
Plot showing the accuracy of testing
INSPIRATION
Given the current trends in incidence and underlying healthcare system vulnerabilities, Africa is facing a lot of problems due to the Covid-19 pandemic such as a drastic reduction in medical commodities and supplies following border closures and restrictions on exports, and financial resource limitations.
A lot of people these days are avoiding the use of basic tenets of hygiene during this crucial time such as wearing masks and gloves in public places. Moreover, they endanger establishments by not abiding by the guidelines and compromising the safety of themselves and others.
That is why we came up with the idea of Maskaught, a simple mask detection system that can be placed outside any shop which has access to basic surveillance cameras.
WHAT IT DOES
Maskaught is a convenient mask detection that system that can be placed outside any shop or establishment. This system would ensure that those who are found to be not wearing a mask would not be allowed to enter inside. Outside a mid-range or large scale shop with security, it can act as a helping hand to the security guard by minimizing his/her interaction with consumers with the help of this software and ensure their safety.
HOW WE BUILT IT
We first trained the system by providing a dataset containing pictures of people with and without masks. After training the system, all the images were converted into an array and two
deep learning models
for detecting face and mask were created. The accuracy of testing was also plotted as shown in the graph. Both the models were then loaded into a new Python file and a camera was integrated into the mask detection system. The system would then detect the mask on the face and displays the accuracy of detection. A
text to speech software
was also integrated within the system which would guide the customer throughout the whole process of detection.
CHALLENGES
Converting our python project into a web application was a significant challenge that was faced by our team. However, we used python's
Django
framework to bridge the gap between our python software and HTML. As a result, we were able to build an interactive and user-friendly interface for the project.
ACCOMPLISHMENTS
Completing a challenge always feels satisfactory. Thus the entire project from the mask detection to the web application to our business model are all accomplishments that we are proud of.
WHAT WE LEARNED
Through this hackathon, we had the opportunity to learn how to train a deep learning model and create a python program integrating the use of Keras, OpenCV, and MobileNet along with text to speech conversion software (pyttsx3). We also applied our web development skills to attach the python program to the HTML one using the Django framework.
FUTURE STEPS
Our idea also focuses on promoting the rise of small domestic businesses that do not get a lot of customers as they’re not able to keep a track of whether all their customers are wearing masks inside. This may sometimes procure them with financial losses as it may cause customers to stop coming to these shops due to the ease of contracting the coronavirus with people without masks.
Moreover, since our idea is inexpensive to enact where we need to only connect our web app to the camera the cost involved to adopt this system is pretty much minimal.
One more plus point regarding our system is its expanded use and modifications which can be made after adopting it. It can be further applied for security in the future when we are safer against the pandemic.
It can also add in more scanning features in the future like scanning for gloves.
With further improvements, this system could be integrated with CCTV cameras to detect and identify people without masks and could be used in the imposition of fines for people who don’t wear masks by the government.
Built With
bootstrap
css3
django
html5
keras
opencv
python
tensorflow
Try it out
github.com | MASKAUGHT | The convenient mask detection system | ['Mohammed Ozair', 'Parin Joshi', 'Fabin Joe Flasius', 'Rishabh Saini'] | [] | ['bootstrap', 'css3', 'django', 'html5', 'keras', 'opencv', 'python', 'tensorflow'] | 27 |
10,322 | https://devpost.com/software/covid-19-saver | Hands Free Basin 1
Hands Free Basin 3
Hands Free Basin 2
Beds for Covid Patients
Beds for Covid Patients 2
Platform to Find Missing People 3
Platform to Find Missing People
Platform to Find Missing People 2
Inspiration
During this Global Crisis of COVID -19, Our Doctors, Nurses, Police, etc working on the frontline against this. So, why are we falling back? After all, we are engineers with an innovative mind. Now, we are here with the combined Hardware and Software solution, after analyzing some problems. And, try to make the next generation Healthcare Device for Protecting Vulnerable Population during and after this pandemic situation. Nowadays, COVID-19 patients are facing issues in finding beds in hospitals. They have to go to different hospitals and check if the bed is available or not. And even if the beds are available then they have to make sure that it is affordable. During the COVID-19, we are facing a lot of disasters like cyclones in Orissa, West Bengal, Maharashtra, etc. and floods too. Also, many people have lost their lives and many people are missing. Lots of parents have lost their children during these disasters.
What it does
There is a Hardware setup that consists of a self shoe sole sanitation device, health band, and hand-free basin. So, the pedestal comes near to our setup and stands over it through that way the shoe sole is sanitized by UV light (this way restricts the transmission of coronavirus through shoe sole). Then, there is a health for which users connected our app with the setup through bluetooth, which measures Heart Rate, Blood Oxygen Saturation Level and Body Temperature, and get the whole data over the app. In last, there is the contact-free basin to wash their hands in public spaces ( everyone washes their hands without touching the tap, which means restricted the transmission of the Coronavirus through the surface and reduces wastage of water). We have made an app, to find the number of beds available in the hospitals in the city they live in. The app will show the number of available beds in different hospitals and will tell the price too. KHOJ will help to find a missing person. The guardian of the missing person will upload the details of that person, so the image will be added to the KHOJ database. If any person finds a person who was missing, he can also upload the picture of that person through KHOJ. KHOJ will try to find that person in the database, and if found it will notify the nearest police station from where the person is found and the guardian of the missing person.
How I built it
In the Hardware setup of this project, shoe sole sanitization device by using UV-C type and its choke, contact-free basin by mechanical parts like the pedal, spring, metal wire, cistern, etc and health band is done by Arduino Uno, Max30102 (for Heart Rate and Blood Saturation), Ds18b20 (for body temperature ) & Bluetooth HC-05. We build our app on Flutter which is a hybrid platform using dart language. Because Flutter apps can run on ios and android phones. Then, we used an API provided by disease.sh for details related to COVID-19 like total cases, active, deaths, etc.and did some other stuff also with our skills.
Challenges I ran into
Due to lockdown, we don’t have NodeMCU (IoT device) to store data over the cloud. So, we try to figure out this with Arduino Uno and Bluetooth. First, we send data over the mobile app than over firebase to store.
Accomplishments that I'm proud of
Working, health band with real-time data functioning backend servers for data management easy to use app which can present real-time data to the user over the app. Made a website that can help to find missing people, and that will be a good thing for the community.
What I learned
Learned a lot about that without having an IoT device, how to store data over a server and also, about the new sensors. Moreover, it built a more functioning mobile app. Also learned about how to use face recognition and AWS services.
What's next for COVID-19 SAVER
We are planning our project to reach out to maximum people as possible so that we can help them. And we will try to make the device as compact as possible.
Built With
amazon-web-services
arduino
bootstrap
c++
css3
django
html5
javascript
p5
python
Try it out
drive.google.com
docs.google.com
github.com | COVID-19 SAVER | Our project is to protect people from COVID-19, and to solve various problems which people are facing during pandemic. | ['Anubhav Sinha', 'Keshav Bathla'] | [] | ['amazon-web-services', 'arduino', 'bootstrap', 'c++', 'css3', 'django', 'html5', 'javascript', 'p5', 'python'] | 28 |
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