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10,514 | https://devpost.com/software/flixlist | Figma design thumbnail
Overall App design
Favourites Screen
Profile Screen
Login Screen
Home Screen
Movie Detail Screen
Review Screen
Inspiration
We were tired of using third party apps to maintain the list of movies that I would want to watch or have already watched. Personally, we love maintaining a "collection" of sorts regarding the movies that we watched or want to watch.
What it does
It's pretty straightforward, app shows a list of movies. User creates his own personal "watch list" and check off every movie he/she watches. The user can also write reviews that other users can see. This feature of the app is what classifies it as a sort of microblogging app.
How we built it
We have used the flutter framework and firebase for user auth.
Challenges we ran into
Implementing the right logic without back-end services.
Accomplishments that we are proud of
We are proud that we were able to come up with an idea and make an app in a span of just 2 days.
What we learned
Colour theory and how netflix makes its users always stay with them.
What's next for FlixList
A fully functional app with proper backend support and proper usable data.
Built With
dart
figma
firebase
flutter
vscode
Try it out
github.com | FlixList | A personalized movie listing app for movie lovers | ['Vishnu Anand', 'sathvik saya'] | [] | ['dart', 'figma', 'firebase', 'flutter', 'vscode'] | 6 |
10,514 | https://devpost.com/software/blog-it | Blog-it (Gives u eyes before wings )
Blog-it
Travelling around is one amazing hobby.Its the one which brings relaxation to the mind.Travel itself is soo exciting and sharing about it to others is mind-knocking thing to do which gave us an idea to make this UI design.
This app basically gives us the information about various places.We are also exposed to the various travelling tips or suggestions that we have to take before taking a step towards travel.You can even like the posts that you like.When someone comes across some problems regarding a particular place then there's an option where we can directly contact to the blogger and understand it more clearly.It gives an option of reading and understanding others views about the destinations and various states.We built this app using an UI designing framework called as Figma which we were completely noobs at. But we learnt things through the webinar and tried to implement it as much as we can possibly try. The challenge we ran into was that we couldnt handle the challenge of converting the Figma prototype into a working app. But surely we enjoyed this whole three days of working on it and we were very happy abt the way our UI design came out. Surely we will continue this app onto the android studio and make into a consumer friendly ready to use app in the later days. We are disappointed that our project is limited to only prototype stage due to the limited knowledge of ours with the android studio software but surely we will work on it.
Built With
figma
Try it out
www.figma.com | Blog-It | Our idea was to convey the thougths of travellers on this app so that the people would have a foreimage of what they are going to face in future | ['Ashish Appu', 'Ritu Malage'] | [] | ['figma'] | 7 |
10,514 | https://devpost.com/software/artsy-61rx0j | Personal Blog - UI
Login Page - UI
Collections - UI
Home - UI
Inspiration
From personal experience as amateur artists, we have found the need for a platform that focuses on what we, as artists, need to gain exposure within the art community and reach a proper audience for the same.
What it does
Provides a platform for artists to showcase their talent to a larger, more concentrated audience.
How we built it
We designed the prototype using Figma, which was later coded into an app using Java on Android Studio.
Challenges we ran into
Choosing the right color palette to make sure the art posted stood out.
Inculcating the proper UX by going through all possible navigation pathways.
To make it memory efficient.
Having no prior experience with app development, the overall implementation process was challenging.
Accomplishments that we're proud of
The entire prototype design, we personally think it is beautiful :)
Figuring out Android Studio
Getting an app up and running,
What we learned
That designing is actually a significant part of app development, even though initially we didn't think it would be so hard.
UI and UX that goes behind app development.
The overall app development process.
Hackathons let us know what to expect in a real world project implementation. They also give us a head start on developing our ideas
How to come up with a problem statement and the solution for the same.
What's next for ARTsY
We are going to try to further develop the app with Google APIs and Firebase
Built With
android
android-studio
figma
java
Try it out
github.com
www.figma.com | ARTsY | Find your finesse. | ['Bhavishya K H', 'Aishwarya Indudhar'] | [] | ['android', 'android-studio', 'figma', 'java'] | 8 |
10,514 | https://devpost.com/software/devfeed-zl4gme | We came up with the idea of building dev feed after we realised that there was no such platform we as developers could share our achievements and projects. The interaction with other developers and programmers make it easier for coders to know about the latest technologies and share ideas.
The first and foremost challenge that we faced was the backend since non of our teammates knew backend development it was hard for us to develop an app that would be able to share and retrieve data among other users.
We overcame this hurdle using the google service firebase and thus most of our task became easy.
We used FIGMA to make the UI of the app that made it easier for us to build the ui .
Built With
firebase
java
Try it out
github.com
learnermanipal-my.sharepoint.com
www.figma.com
www.figma.com
docs.google.com | DevFeed | A micro blogging app built for developers to post their projects | ['Sarthak Shastri', 'Harsh Rathod', 'Vedant Rishi Das'] | [] | ['firebase', 'java'] | 9 |
10,514 | https://devpost.com/software/hashit | Introduction on installation
Navigation Drawer
Main Post Page
User Details and Settings page
Sign Up Activity
View detailed Post Page
Notification page
Front page
Adobe Xd project overview( Could'nt export the link of my prototype due to technical error )
Inspiration
Building apps have been my dream since long and it inspires me the most
What it does
It is a basic Microblogging app with a redefined interface.
How I built it
I Built the UI Part on Adobe XD of due to some techinical glitches i could not share the link .
I built the android app using Android Studio- Native development on Java
Challenges I ran into
i ran into a lot of challenges while designing the app as deciding a good layout for the app.
Also I designed the app which resembled my designed mostly
Accomplishments that I'm proud of
I am glad that i can complete it within two days individually
i realised i did a whole lot of work and i am proud of it
What I learned
I learned how to build good UI thanks to our mentor for the webinar
and at last living my dreams making apps that is running with no bugs in such less time which is an achievement
What's next for hashit
I would keep refining this app and add more features to it since these 2 days were very less for me to build this app..
I did the whole prototyping on adobe xd
Built With
android
android-studio
firebase
java
Try it out
github.com | hash-it | Hashit allows you to post your day to day life events among your dedicated groups . It is a microblogging platform | ['priyansh jain'] | [] | ['android', 'android-studio', 'firebase', 'java'] | 10 |
10,514 | https://devpost.com/software/kibitz-microblogging-application | Inspiration
Common blogging apps like instagram
What it does
Posts blogs, videos and allows you to connect with people around the world
How I built it
Using figma UI and Android studio
Challenges I ran into
Android studio's UI acceptance and the errors in shifting through pages
Accomplishments that I'm proud of
Making it user friendly and fun to use
What I learned
How to integrate UI into appdev
What's next for KIBITZ microblogging application
Further development into the backend and fixing present issues
Built With
android-studio
figma
Try it out
github.com | KIBITZ microblogging application | A basic and simple microblogging application for all users | ['Rishab Kashyap', 'Rakshith Acharya', 'shreya1010svg Venugopal'] | [] | ['android-studio', 'figma'] | 11 |
10,514 | https://devpost.com/software/blogapp | Inspiration
Technology Enthusiast
What it does
MicroBlogging app
How I built it
react native
Challenges I ran into
Cant get around the fact that git push freezes when large files are present
Can directly upload a folder to GitHub
Accomplishments that I'm proud of
Completed
What I learned
react native
What's next for blogApp
Building a backend
Making it smoother
Built With
figma
native
react
Try it out
github.com | blogApp | Microbloggin app for everyone. Easy, clear-cut and filled with features. | ['Deeksha D', 'Srastika shetty', 'nanditha bhandary'] | [] | ['figma', 'native', 'react'] | 12 |
10,514 | https://devpost.com/software/blogiturs4lf | Inspiration
Learn something new everyday. Until 4 days back i did not know what android studio was ,but have gained a good amount of knowledge. This microblogging tool was mainly built for the reason that literally any body with a mobile device can start sharing content,which is helpful for the society.
What it does
It first has a sign i page and then goes to the homescreen where there is an option to create a blog and couple of the week's top blogs(unfortunately my android studio started crashing in the last minute not sure whether it was implemented).It also has a fancy drawer which slides when pressed on top left corner with various tabs and when clicked on a specific tab also displays a pop-up showing which tab is selected.
How I built it
I built using android studio(java) designing a basic drawer using the empty activity.
Challenges I ran into
Learning android studio which i did only 4 days back, and tackling all the beginner errors with optimism.
Last but not least just a few minutes back my android studio crashed so not sure how the app has turned out.
Accomplishments that I'm proud of
Learning part was amazing, gave me a sense of joyy!
What I learned
How to build something interactive and useful,and not to give up with any bug or error that comes in the way
What's next for BlogITUrs4lf
I will leave the suspense with you
Built With
android-studio
java
Try it out
github.com | BlogITUrs4lf | Blog with ease,but with cause,nevertheless with a craze. Blogging has been mainly restricted to the domain of the people with a good computer knowledge alone, so I decided to break the bar. | ['Joy Jefferson'] | [] | ['android-studio', 'java'] | 13 |
10,514 | https://devpost.com/software/jamm_app | JaMM
Submitted By: Team JaMM
Team Members:
Janavi Srinivasan
Milinda KN
Manali Tanna
IDEA or PROBLEM STATEMENT
In the current era, gaming has become immensely popular, but very few platforms that unite and lets the gamers communicate and share with the world their gaming skills. There exist very few game networking mobile applications and none that provide a user friendly way to live stream. To tackle this issue, we have designed a unique gaming social networking app that allows its users to post insightful media, host as well as watch live streams and stay in touch with gamers all over the world through instant messagaing. This microblogging App uses flutter, an open-source UI software development kit created by Google.
UI DESIGN SUBMISSION
Software used: Figma
Links for the submission:
For a public link to the design file :
https://drive.google.com/file/d/1E56hJyy-5uh0CcQOfjyYHFKEUYQ9SL0P/view?usp=sharing
Write-up on the approach taken for UI design
This is a highly communicative platform, with creative features, posting and streaming options, which is not just limited to gamers of one community but all communities. Gamers can now make entertaining live streams and posts all with one touch on their mobile screens. We have made the theme and the color scheme of the app attractive to its users.The dark-mode with a striking blue and orange contast is pleasing to the eyes. It has an incredibly simple navigation and easy to read fonts and icons. With our unique app, not only does the popularity of the gamers increase but also the of the games they play. We are aiming to provide a wonderful user experience.
APP DEV SUBMISSION
Language/framework used: Flutter
Compulsary Requirements:
An Youtube video link explaining all the features of the developed application :
https://youtu.be/b__gGfDY2Us
The apk of the application is in the root directory of this repository.
Source code for the entire application should is the "/App Development/jamm" directory
Developed for AppSprint'20.
Built With
dart
kotlin
objective-c
swift
Try it out
github.com | JaMM | A Gaming social networking App | ['Manali Tanna', 'Janavi Srinivasan', 'Milinda KN'] | [] | ['dart', 'kotlin', 'objective-c', 'swift'] | 14 |
10,514 | https://devpost.com/software/jevelin-app | Home Screen
Menu
Login Screen
About Page
Blog Post
Comment Section
Inspiration:
Famous apps like Tumblr and Pinterest inspired us to make our app. However we wanted to give it a more traditional blog like appearance.
What it does
This app is a
basic
prototype of a blogging app, with features like real-time commenting on a post
How we built it
The app was designed using Figma and then developed using BravoStudio with Airtable database and Zapier as the API.
Challenges we ran into
This challenge was difficult for us since we had a lot of different ideas for implementing this UI and were pretty clueless as to what were the best practices for making them on Figma (being first-timers)
Last but not the least, pushing & retrieving data from the Airtable database through an API (Zapier) to allow the users to post comments on the blog
What's next for Jevelin App
To make all the dummy posts fully functional and to add
proper
user authentication. To improve user interaction by implementing a 'like' button.
Built With
airtable
bravostudio
figma
typeform
zapier
Try it out
github.com | Jevelin App | A microblogging app-My personal journey for inspiration | ['Jigya Shah', 'Amitha Nayak'] | [] | ['airtable', 'bravostudio', 'figma', 'typeform', 'zapier'] | 15 |
10,514 | https://devpost.com/software/toshair | Screenshot of the UI making process in Figma
Inspiration
I love trying out new things and I felt app development was one such domain. When I heard about AppSprint, I thought it would be the perfect opportunity to learn this by actually diving into the process instead of just reading endless documentations about app development without applying it in real life. A win would build confidence in not only app development but hackathons in general for me.
What it does
This app is a micro blogging app (the problem statement given). It is a fully functioning front end (UI/UX) of the mobile application. It allows users to visit different fragments, scroll and add text etc.
How I built it
First I wrote down the general approach that I had planned to take and acted accordingly. I made the UI using Figma and then made the functional app using android studio. I've used Kotlin for doing so.
Challenges I ran into
There were quite a few challenges that I ran into. Being a solo competitor, it was a little difficult as every step of the process had to be assessed and accomplished by myself. In the technical aspects, the bottom navigation didn't work well at first. It did not work at all actually. Moreover I wasn't able to test it on an emulator as my laptop couldn't handle the RAM requirements. This led to extremely long wait times to install and reinstall the app into my phone every time. Further, figuring out the appropriate layouts were a little tricky.
Accomplishments that I'm proud of
I'm proud to have actually made my first android app. It feels like a big deal as this is something I've always wanted to do. I am thankful that despite the challenges I was able to overcome them and persevere. There were a lot of moments where I felt that I could no longer proceed but I'm happy I did not give up. Overall this was a great experience.
What I learned
I've learnt a lot in this event and I'm glad I took part. Apart from the obvious, that I learnt a lot about android app development and Figma, I also learnt a lot of valuable life skills. Some of them are that hard work always pays of which I can see now with the sacrificed sleep hours, stress etc. I've learned to never give up and always keep believing.
What's next for Toshair
I'd like to learn about backend for android development and try implementing that for this app. As of right now, I am not equipped with the knowledge to do that so a little bit of practice and study should help me there. I'll try setting up internet connectivity and things along that line.
Built With
android-studio
figma
kotlin
Try it out
github.com | Toshair | Read, Write, Share. Toshair : A mobile micro blogging application | ['Ashutosh Rao'] | [] | ['android-studio', 'figma', 'kotlin'] | 16 |
10,514 | https://devpost.com/software/pod-it-s-more-than-just-a-social-networking-app | The design inspiration for the app came from POD as a community. POD is a place where people can share whatever they want to whomever they want.You may wonder how is this different from any other social networking app. The emphasis is on UX .
I want the user to feel comfortable using this app.Using an app shouldn't be rocket science.
The app lets you share stories, posts ,recipies,,videos,tutorials and also games
KEY FEATURES:
-> A separate community of charity PODs that lets the user directly connect with the members of the POD.He/she can share their thoughts with the community and donate or contribute directly.
->You can share posts in any shape you want but in multiple of grid, by specifying the shape
->BEST OF ALL..You don't have to re-share your posts to meet your aesthetic needs.You can swap the position of a post with a similar shape and sized post!
->Simple UI makes it addictive
Being a complete newbie at this I used Figma in designing the UI and UX
Starting from the basics, I learnt most of the stuff that the software has to offer in no time
I first drew the layout on a piece of paper before mimicking it on figma
At first it seemed hard but I got hold of it later.
I wish I had more time to prototype it in android studio .I didn't have any time to do that
I proud that I learnt a new skill.Being a person who's into the creative space , I love this new found skill. Looking forward to going ahead with android development
Built With
figma
Try it out
github.com | POD | It's more than just a social networking app | ['Spoorthi uk'] | [] | ['figma'] | 17 |
10,517 | https://devpost.com/software/sign-slate | Web interface
Summary of the network used
Code for loading previously trained network, to evaluate images
Inspiration
My group has been learning machine learning through various courses online. We wanted to try and implement this into a hackathon, and we decided that creating a neural network which could translate sign language into English text would be the best challenge.
What it does
This translator can convert sign language into English text. The website takes a photo with a regular interval which is then passed through a neural net which determines the letter. The only two letter that can not be produced are j and z which require motion to show. If the website takes a photo of an empty wall it will represent it as a space.
How I built it
The machine learning aspect of this project was done using tensorflow and keras. For the dataset, we used a combination of datasets we found online and some images we added ourselves to further interpret an accurate result. The neural net used thousands of images to train and validate.
The Django was used as the backend for this project. The front end application sends AJAX requests to the Django server with the image data, and calls the script that runs the prediction. The result is then returned to web page to be displayed.
The camera was used as an input to obtain images over a set delay. The images are fed to a javascript function which would then draw out the result onto the canvas on the web application. The image is then interpreted by the neural network which determines what english letter is being conveyed and then displayed on the web application.
Challenges I ran into
The initial data set obtained from a public library online had images that lacked resolution which our neural network had complications in differentiating between different sign gestures. The solution was to procure a new data set involving a superior collection of images obtained from both another source and later our own data set to further refine the neural network with both higher resolution images and clearer gestures.
Accomplishments that I'm proud of
We have developed neural network and have adapted our knowledge to solve a problem that is felt by other users of sign language when communicating with others.
What I learned
We experienced the difficulties of making a consistent neural network applied to a new situation.
What's next for Sign Slate
We want to further improve the neural network with better algorithms, layers, and data. This would further improve the speed and accuracy in obtaining the result. Another goal would be to make a mobile application for travel use as a connection may not be available at all times.
Built With
css3
django
html5
javascript
jquery
keras
numpy
pillow
tensorflow
Try it out
github.com | Sign Slate | Sign Slate is an easy to use application which can transcribe sign language to English text, it makes understanding sign language easier. | ['Shawn Xue', 'Shashank Singoji', 'Shichao Jiang', 'Shrikant Banerjee'] | ['Best Project'] | ['css3', 'django', 'html5', 'javascript', 'jquery', 'keras', 'numpy', 'pillow', 'tensorflow'] | 0 |
10,517 | https://devpost.com/software/aaye-appointement-at-your-ease | After logging in
Home page
After booking appointment
SignUp page
Booking Details
Appointment Booking page
Users dashboard showing history and details of user, even from here user can book another appointment
Booking reciept
List of available doctors
Medicine page
LogIn page
Doctor's registration page
We have been developing a website for online booking of the appointment with the doctor. During this pandemic, many people are not able to go to the doctor. So at our portal people will be able to book their appointments and can also have prescriptions online and get at their doorstep. We have also deployed the ML model for reading the prescription and make patients inform about them. In later stages, people can directly chat with the machine to understand their medicines and minor symptoms before visiting the doctor directly.
Built With
bootstrap
css
html
javascript
jquery
php
sql
Try it out
sarwar1227.000webhostapp.com | AAYE- Appointement At Your Ease | Break The Traditional Queue System | ['Sarwar Ali', 'Nancy Mangla', 'Abhishek Goel'] | ['Second Best Project'] | ['bootstrap', 'css', 'html', 'javascript', 'jquery', 'php', 'sql'] | 1 |
10,517 | https://devpost.com/software/hearmeout-2og68b | Example Complaint Details
Forum Page
Form to Submit a Complaint
If you have time, please view our full presentation:
Full Presentation Video Link:
https://youtu.be/ms-ubBEVBDc
For our 2 minute Demo, please watch the video above or go to
2 Minute Demo Link:
https://youtu.be/yee6PLEOeD4
En Espanol para HackMTY
English Below
Estamos estudiando Espanol en escuela, pero no es nuestros primero lingua. Por eso, estamos usando Google Translate.
Lo que dijimos al principio en Espanol
Al menos una cuarta parte de las mujeres sufren acoso sexual en el lugar de trabajo. Sin embargo, tienen miedo de denunciarlo o de buscar ayuda. Mi hermana se incorporará pronto a la fuerza laboral y quiero que se sienta cómoda informando casos en los que se siente incómoda, así que mi amigo y yo desarrollamos HearMeOut. HearMeOut ayuda a las personas en posiciones vulnerables a denunciar rápidamente los casos de discriminación de género. Si hay una disputa, los usuarios pueden enviar un correo electrónico con información sobre la queja y las pruebas que deben eliminar. Servimos como litigantes hasta que se resuelva o vaya a los tribunales si no hay compromiso. Ofrecemos varias funciones multidimensionales para ofrecer una experiencia integral: un mapa de calor con puntos críticos de discriminación (sede de la empresa o sucursales específicas, que actualmente está poblada por datos de muestra), una herramienta de informes, una información de noticias, peticiones y asesoramiento, y una forma para ver las quejas existentes. Aquí hay una demostración:
la demostración comienza en el video
.
Inspiración
La discriminación es un lugar común para las minorías de género. Ya sea en el lugar de trabajo, en el restaurante o en la escuela, pueden ser constantemente maltratados o acosados simplemente por ser ellos mismos. HearMeOut es una aplicación que busca combatir eso. HearMeOut permite a los usuarios realizar informes y subirlos a una base de datos. En el caso de que uno sienta que están siendo retratados de manera inexacta, habrá un sistema de gobernanza donde se pueden presentar pruebas y, en base a eso, un informe puede retirarse de la vista del público.
Que hace
HearMeOut consta de 3 partes principales: un sistema de informes (tanto para eliminaciones como para alegaciones), visualización de quejas (a través de una lista y mapas de calor) e información para que los usuarios puedan buscar asesoramiento sobre salud mental, asesoramiento legal y poder contribuir con datos. a encuestas o estudios que permitan a la sociedad conocer mejor la magnitud de la discriminación.
La primera página de noticias permite a los usuarios ver información sobre la discriminación en general, para generar conciencia.
La segunda página de quejas, muestra un feed de todas las quejas enviadas por los usuarios en toda la aplicación, donde pueden ver los detalles de las quejas y tomar decisiones basadas en esos datos.
La tercera página permite a los usuarios enviar quejas con respecto a cosas que pueden haber encontrado en su espacio de trabajo, como comentarios obscenos u otras formas de discriminación, que luego serán validados por otros usuarios en tiempo real en la página del Visor de quejas.
La cuarta página es un foro que permite a los usuarios consultar a otros miembros de la comunidad sobre lo que les está sucediendo, qué hacer en situaciones y recursos generales para consultar a otros similares a usted.
La última página es un mapa de calor que acumula todas las ubicaciones de las quejas escritas en un mapa de calor completo y fácilmente comprensible.
Cómo lo construí
Creamos la aplicación usando React Native, News API y Firebase.
Desafíos que encontré
Completamos este proyecto en un tiempo casi récord, mientras seguíamos ocupándonos de muchos problemas.
Nos ocupamos de muchos problemas relacionados con el sistema de compilación y las bibliotecas que estaba usando.
Logros de los que estoy orgulloso
Esta fue la primera vez que Vijay (mi) creación de una aplicación para ReactNative.
Qué sigue para HearMeOut
Para lanzar esto al público.
English
Inspiration
Discrimination is commonplace for gender minorities. Whether it be in the workplace, while at the restaurant, or while at school, they can be constantly misgendered or harassed simply for being themselves. HearMeOut is an app that seeks to combat that. HearMeOut allows users to make reports and upload it to a database. In the case that one feels that they are being inaccurately portrayed, there will be a governance system where evidence can be submitted, and based on that, a report can get retracted from public view.
What it does
HearMeOut consists of 3 main parts: a reporting system (for both removals and allegations), complaint viewing (via a list and heatmaps), and information for users to be able to seek mental health counseling, legal counseling, and be able to contribute data to surveys or studies that allow society to gain a better understanding of the magnitude of discrimination.
The first news page allows users to view information in regards to discrimination in general, to bring about awareness.
The second Complaints page, shows a feed of all the complaints submitted by users all across the app where they are able to view the complaints details and make decision based on that data.
The third page allows users to submit complaints regarding things they may have encountered in their workspace, such as foul comments or other forms of discrimination, which then later would be avalibake to other users in realtime in the Complaints Viewer page.
The fourth page is a forum which allows users to be able to consult others in the community about what is happening to them, what to do in situations and overall resource to consult others similar to you with.
The last page is a heat map which accumulates all the locations of the complaints written into a comprehensive and easily understandable heat map.
How I built it
We built the application using React Native, News API and Firebase.
Challenges I ran into
We completed this project in almost record time, while still dealing with many issues.
We dealt with a lot of issues with regards to the build system and libraries I was using.
Accomplishments that I'm proud of
This was Vijay (my) first time creating an application for ReactNative.
What's next for HearMeOut
To launch this to the public.
Built With
firebase
google-maps
react-native
Try it out
github.com | HearMeOut | Allowing gender minorities to report discrimination and harrassment publicly. | ['Vijay Daita', 'Om Joshi'] | ['Third Best Project'] | ['firebase', 'google-maps', 'react-native'] | 2 |
10,517 | https://devpost.com/software/moneyheist-2-0 | We help classify illegal and unsafe bitcoin transactions based on Bitcoin address
We help you identify safe (white) bitcoin transactions based on Bitcoin address
Inspiration With the rise in cryptocurrencies such as Bitcoin, there has been a tremendous surge in ransomware attacks owing to the complexities of the system and the anonymity enjoyed by the illegal entities. Existing heuristic mechanisms in place to detect such malicious transactions suffer from several fallacies and have failed to deploy advanced techniques for detection purposes. Ransomware is a malicious software that takes control of one’s computer, affects it and releases the system upon securing a ransom payment. There are several reasons which make Bitcoin a hotspot center for illegal transactions. Bitcoin continues to remain the only virtual currency which has a widespread user-base and is convertible in nature. Bitcoin transactions can be carried out anonymously by cybercriminals as it does not require identity verification and only requires them to send a public Bitcoin address via anonymous networks. The entirety of process from wallet creation, to accepting the payment and laundering it is fully automated and is additionally incontrovertible, meaning payment once done can’t be charged back. Furthermore, usage of anonymous networks such as Tor and non-traceable payment networks make it extremely difficult for law enforcement agencies to track down such ransom websites and shut them down. FBI agent Joel DeCapua has suggested that more than $144 million have been paid as Bitcoin ransom payments between 2013 and 2019 and similar figures have been estimated by a Google/Princeton study.
What it does The aim of the proposed model is to leverage machine learning techniques such as supervised learning to identify malicious ransomware Bitcoin transactions based on highly influential features of the used Bitcoin addresses that display high utility in detecting a ransom transaction.
How I built it Using Jupyter Notebook
Challenges I ran into A Lagging PC, lack of coffee to keep me awake the whole night ! and several other challenges
Accomplishments that I'm proud of This will be now the world's first-ever model for such a task !
What I learned Advanced ML techniques, Time Management
What's next for MoneyHeist 2.0 Making it available to my fellow netizens ! Yes
Built With
jupyter
machine-learning
python
sklearn
Try it out
github.com | MoneyHeist 2.0 | Supervised Learning model for identification of ransomware transactions in a heterogeneous bitcoin networks | ['Soham Patil'] | ['ML/AI Theme Winner'] | ['jupyter', 'machine-learning', 'python', 'sklearn'] | 3 |
10,517 | https://devpost.com/software/self-tutor-5346oz | Inspiration
Help people with no access to education, educate themselves.
What it does
Identifies the objects shown to it, counts the number of objects and spells them out. This helps the illiterate person learn how to count, identify and learn the alphabet through spellings.
Displays a series of images of alphabets on screen and asks the person to identify it. Also tells whether the identification is correct or not.
Speaks an alphabet for the user to write it on the paper, captures the image of the alphabet and checks whether it matches with the asked alphabet or not.
Helps the person to read a book by taking in the image of the captured page of the book and reading it aloud.
How I built it
The front end was entirely made using pySimpleGUI. YOLO was used as object detection system. Pyttsx3 was used for text to audio and google sound API was used for audio to text.
Challenges I ran into
This was my first time working with pysimplegui. Designing multiple windows through master slave architecture was a challenge. Apart from that getting speech to text conversion API work was also a tough task as the application crashed everytime it was used but the issue was solved at the end.
Accomplishments that I'm proud of
I am proud of bringing my idea to life in a given period of time and experimenting with new technologies.
What's next for Self Tutor
Support for other languages can be added Other interactive teaching methodologies can be added.
Built With
google-speech-api
pillow
pysimplegui
pytesseract
python
pytssx
Try it out
github.com | Self Tutor | Groups of illiterate people who have no access to educators can educate themselves using Self tutor. It helps them to read and write and use the resources provided to them. | ['kinster007'] | ['Life Hacks Theme Winner'] | ['google-speech-api', 'pillow', 'pysimplegui', 'pytesseract', 'python', 'pytssx'] | 4 |
10,517 | https://devpost.com/software/wolfie | Wrath of AI
Level optimization
Promise of Wolfie
Inspiration
During these morose times I want to do my share of
spreading joy and fun across the world
.
I wanted to make a game to try my hand in advanced AI and spawn optimization techniques and at the same time share the fun with the rest of the world.
What it does
The AI is based on a statistical model which helps predict the optimum position for a hit.
The spawn optimization techniques allows infinite level without causing any major lagging.
Character customization and a kill-based ranking system has been implemented.
The UX/UI has been designed so as to make game play intuitive.
Above all, it does it's bit in adding joy to the world !!!
How I built it
The game-play was implemented using Unreal Engine with the assets created using Blender, Photoshop and Illustrator.
My experience in AI helped in modelling the optimum position seeking algorithms.
Challenges I ran into
The spawn optimization was very challenging. Initially the calculations for the navigation mesh to be built exceeded 10 million as I didn't have time to increase the functionality for level streaming. As my computer is in no way capable of doing that in a day I had to come up with an entirely different algorithm to enable infinite level without using level streaming.
Accomplishments that I'm proud of
The AI is pretty good considering this was my first AI project from a game development perspective.
The level number is infinite which was done without using level streaming and no additional trade-offs and that was some cool last minute thinking.
The greatest achievement of all is the smile I saw on my loved one's faces as they enjoyed playing the game !!!
What I learned
I've have tasted the fruits of game-development and will definitely be back for more.
I've learned the do's and don'ts of game optimization.
I am left with a new outlook on statistical ML models.
What's next for Wolfie
Wolfie will be released on Windows, Android and iOS
for free
of-course.
The main goal of Wolfie has always been to
give joy to all people no matter what their financial status is
.
Wolfie will serve as the
quirky debut of a very quirky animal RPG series
which I hope will be a cult game someday.
Built With
adobe-illustrator
c++
photoshop
unreal-engine
Try it out
github.com
drive.google.com | Wolfie | An animal RPG that uses AI search techniques and spawn optimization | ['Hrishikesh P'] | ['Gaming Theme Winner'] | ['adobe-illustrator', 'c++', 'photoshop', 'unreal-engine'] | 5 |
10,517 | https://devpost.com/software/vr-medix | Inspiration
This project is inspired by that medical students can't get proper practical at there colleges and institutions.
How we built it
Project is created with:
Unity version: 2019.2.11f1
GVR SDK for Unity version: v1.200.1
Challenges we ran into
The objective is to provide a virtual medical assistant. We will be using the technology of Virtual Reality to achieve the objective. The application built will have two main sections: one for the people in the medical field i.e. the doctors, health workers, medical students, para-medical staff, etc.
Accomplishments that we're proud of
The application will have a virtual room, tools, virtual patients describing their problems to see if the learner can handle it well. It has a separate section for emergency training, accidental cases, critical surgeries, etc. it also includes a virtual guide (for self-training) and group training (for a group of students).
What's next for the project
In the next version, we combine this project with some hardware sensors so that we can try to make this app more user friendly. user can interact with patient by hand gesture and motions
Built With
c#
glsl
googlevr
ibm-watson
shaderlab
unity | Healthcare | Healthcare learning app | ['Ruchi Kushwaha', 'Saumya Bathla', 'Muskaan Mittal'] | ['Honorable Mention'] | ['c#', 'glsl', 'googlevr', 'ibm-watson', 'shaderlab', 'unity'] | 6 |
10,517 | https://devpost.com/software/covid-care-6bkt19 | Inspiration
During this current COVID 19 pandemic, I see health worker is curing the patients, doctors are innovating new medicine, the police is controlling the crowd movement and even bus drivers are helping people to get back to home. As a future engineer, I felt like my contribution is none, so I felt motivated to do my part and try to bring a positive change and to make sure my product can also be used in a future pandemic.
problem our project solves
Offices and workplaces are opening up and as the lockdown loosen we have to get back to work, but there is a massive possibility that infection can spread in our workplace as, When a person is infected he can be asymptomatic for up to 21 days and still be contagious, so the only way to contain the spread is by wearing a mask and maintaining hand hygiene. WHO and CDC report said that if everyone wears a mask and maintains hygiene then the number of cases can be reduced three folds. But HOW we will do that? , How can we make ever one habituated to the following safety precaution so the normalization can take place. So we have come up with a solution called C-CARE 1st ever preventive habit maker that will bring a positive change.
What our project does
Our app is 1st of its kind safety awareness system, which works on google geofencing API, in which it creates a geofence around the user home location and whenever the user leaves home, he will get a notification in the C-CARE app ( ' WEAR MASK ' ) and as the users return home he will get another notification ( ' WASH HANDS '), ensuring full safety of the user and their family. It is also loaded with additional features such as i.) HOTSPOT WARNING SYSTEM in which if the user enters into a COVID hotspot region he will be alerted to maintain 'SOCIAL DISTANCING' And it also has a statics board where the user can see how many times the user has visited each of these geofences. With repeated Notification, we will make people habituated of wear masks, washing hands, and social distancing which will make each and every one of us a COVID warrior, we are not only protecting ourselves but also protecting others, only with C-CARE.
Challenges we ran into
1,) we lack financial support as we have to make this app from scratch.
2.) the problem in collecting data regarding government-certified hotspot and also we have to do a lot of research regarding the spread pattern of COVID-19.
3.) Due to a lack of mentors, whenever the app stop working we had to figure out by ourself, how to correct the error.
4.) It took us too long to use it in real-time as during lockdown it was too hard to go outside in the quarantine but finally, after lockdown loosens a bit we tested it and it gave an excellent result.
5.) we didn't know much about geofencing before that so we have to learn it from scratch using youtube videos.
Accomplishments that we're proud of
We’re proud to have completed our project in the period of this hackathon. Additionally, we’re proud of how we’ve dealt with time pressure and worked cohesively as a team to actualize our start-up goals, which we believe would have a genuinely positive impact on saving many lives once implemented properly.
What we learned
All team members of C-CARE were able to grow their area of competence by participating in the whole process of idea definition, market research, validation, prototyping, and presentation. Through different mentor sessions, we learned that problems could be approached by many means, but most importantly our mission should be clear.
What's next for C - CARE
COVID cases are increasing every day, and chances are low that we can create a vaccine immediately, apps like C-CARE will play a crucial role in lower the spread of infection till a proper vaccine is made.
Our app can also be used for seasonal diseases such as swine flu or bird flu or possible future pandemic such as Hantavirus, G4 Virus, bubonic flu, Monkeypox.
Built With
android-studio
geofence
google-maps
java
sqlite
Try it out
drive.google.com | COVID - CARE | App that keeps you protected physically and psychologically from COVID | ['Anup Paikaray', 'Arnab Paikaray'] | ['Honourable Mention'] | ['android-studio', 'geofence', 'google-maps', 'java', 'sqlite'] | 7 |
10,517 | https://devpost.com/software/autowisher-uipath | AutoWisher-UIPATH
Inspiration
For all members of our team, this was our first Hackathon and we all had limited skills coding. Hence we thought we could use the skills we already had and try to create a project to the best of our abilities.
We thought we'd look at problems we faced and decide on an idea to work with.
What it does
Made a UIPath robot to read data from an excel and deliver messages on Instagram or WhatsApp based on the specified date mentioned
Note: Currently the project remains as a script which runs on UIPath studio, hence only machines with windows installed will be able to download the software directly. Other OS will require to install the software on a virtual machine.
How I built it
We used UIPath Studio and Excel to create a work sequence
Challenges I ran into
Getting the bot to send messages only at a certain date was a problem due to differences in date string conventions across applications. However, we were able to format it to make it work in the end.
Accomplishments that I'm proud of
After much struggle trying to create another idea, the team unanimously came together and helped finish this whole project in one night. Rest assured with more time the project will see much more improvement and be much more functional
What I learned
We don't always have to jump into learning complex frameworks or be an extremely skilled full-stack developer to make something useful. Sometimes using the skills we have and making something that can be useful is better than making an elaborate project with no particular endpoint.
What's next for AutoWisher-UIPATH
Our team is hoping to convert this script into a function for calendars or messaging applications available on all devices. We also hope to host the robot on a cloud computer (secure with your logins) and run every day at 12:05 AM or a specified time
Built With
uipath
Try it out
github.com | AutoWisher-UIPATH | Ever forgot to wish someone on their special day and now it's soured your relationship? Our UIPath bot will automatically send your custom message to them on time so you won't have to be worried :D | ['Leann Tamsen Fernandes', 'Raihan Abdul Vaheed', 'Bhavya Srivastava', 'Akshita Saxena'] | ['Beginner Hack'] | ['uipath'] | 8 |
10,517 | https://devpost.com/software/weathar-52wd41 | Inspiration
We wanted to create a app by which we can visualize the weather forecasted using Augmented Reality.
What it does
The app uses the camera of the phone to view the sky. Then the app receives information from the inbuilt weather app on the phone and displays the weather to the user using AR.It also allows the user to check the weather of different countries around the world.
How we built it
We built the app using AppLab on code studio. We used EchoAR and Unity to implement the the AR component
Challenges we ran into
We had problem connecting echoAR to unity.
Accomplishments that we're proud of
We were able to create a project for the first time on echoAR and Unity
What we learned
We learned to use Unity and echoAR
What's next for WeathAR
We wish to create a more comprehensive app that will show the users the weather for the upcoming days and also of places around the the world
Built With
applab
codestudio
echoar
unity
Try it out
studio.code.org
github.com | WeathAR | An AR based Weather Forecasting App | ['Devang Ajmera', 'Pallab Paul'] | ['AR/VR Hack (EchoAR)'] | ['applab', 'codestudio', 'echoar', 'unity'] | 9 |
10,517 | https://devpost.com/software/quiz-master-31fitj | Inspiration
Lockdown was hard, for everybody! I would call friends to catch up every few weeks, and slowly, people start loosing motivation and the will to do anything.
What it does
To keep you engaged and your mind constantly curious, we have designed an app for you. 5 questions, each worth 100 lucky points!
How I built it
I used HTML, CSS and JavaScript.
Challenges I ran into
I struggled trying to get the API in, and was considering hard coding 300 questions and then having a randomiser to figure out which question to give. However after searching through the internet, I managed to find a solution to my problem.
Accomplishments that I'm proud of
I am quite proud of the final product, and the professionalism of it.
What I learned
I learnt how to embed an API.
What's next for Quiz Master
To expand it in terms of the questions asked, have different levels for the user, have a timer.
Built With
css
html
javascript
json
opentdb
Try it out
github.com | Quiz Master | The ultimate solution to help you keep engaged with facts about the world around us, keeping your mind occupied during current times. | ['Roshni Vachhani'] | [] | ['css', 'html', 'javascript', 'json', 'opentdb'] | 10 |
10,517 | https://devpost.com/software/my-dash-2nvcy8 | landing page
TODO list
dashboard
Sign up form
Meetings
Inspiration
The global coronavirus pandemic has forced everyone into hustling late at night submitting assignments, synchronising time zones and what not. So we decided to create a user friendly tool that allows students to manage their school and help keep their spirits high.
What it does
Our tool is an integrated dashboard-like tool that allows users to schedule and synchronise their days :)
How we built it
We built it using JS, HTML and CSS. We connected it to airtable that stores your lists and schedules and helps you keep track of them.
Challenges we ran into
We first tried to connect to firebase but since none of us really knew how to use it :p we shifted to air table as it is way simpler and easy to use.
Accomplishments that we're proud of
This was my first hackathon so I'm really proud I could manage to keep up, and work. :) and proud of implement my skills in a team project.
What we learned
Time management, and how important planning before hand is, and dealing with bad wifi :/
What's next for my-dash
Proper development and connectivity to a full fledged database like firebase, and maybe a mobile app.
Built With
css
html
javascript
Try it out
my-dash.loboadrian.repl.co
github.com | my-dash | School management tool for students | ['Adrian Lobo', 'Eric Zhu', 'Jubril Oyetunji', 'Yash Karthikeyan'] | [] | ['css', 'html', 'javascript'] | 11 |
10,517 | https://devpost.com/software/5-minute-mornings | Inspiration
Mental consequences of COVID19.
What it does
Using psychology to help users feel better by adopting a 5-minute morning routine to jumpstart their day.
Challenges we ran into
A lot of bugs
Accomplishments that we're proud of
Completion on time.
What we learned
Team-work, collaboration, JavaScript and time management.
What's next for 5 MINUTE MORNINGS
Making the design more intuitive and user-friendly. Also adding more features that bring psychology and technology together.
Built With
css
html
javascript
Try it out
github.com
ourbothacksproject.web.app | 5 MINUTE MORNINGS | Using psychology to find a technological solution to the mental health problems caused to people during #COVID19. Inspired by the book, 'Two Minute Mornings: A Journal Book' by Neil Pasricha | ['Veer K'] | [] | ['css', 'html', 'javascript'] | 12 |
10,517 | https://devpost.com/software/self-driving-car-0athi9 |
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Inspiration - I am very interested in AI, and was particularly curious about how Tesla is making self driving cars, so I tried building one myself.
What it does - This drives a car based on camera input from a car, although as of now, I'm just getting input from a game on my screen. Then, it drives the car based on predictions from an AI model.
How I built it - To build it, I first had to make a program that loads in the data in a nice way, then to convert it to something that computers can understand, numbers. Next, I how to build a model, which is the architecture that lets the car train on the data. Then i trained it, which took a while. Finally, I make predictions using that model
Challenges I ran into - Loading in data, training the model
Accomplishments that I'm proud of - How the car can reverse and turn, that it even drives, and that the data is actually loaded in
What I learned - Projects take time and patience
What's next for the Self driving car - Training the model much, much more
Built With
keras
numpy
opencv
tensorflow
Try it out
github.com | Self driving car | A self driving car made with python and AI | ['ayaan panda'] | [] | ['keras', 'numpy', 'opencv', 'tensorflow'] | 13 |
10,517 | https://devpost.com/software/pearl-primary-electronics-augmented-reality-learning | Inspiration
I am an undergraduate electronics student and I see many of my college mates didn't knowing basic concepts of electronics live how electrons travel in a circuit, how an LED works, how a speaker makes sound and many different things.
Now we have Educations Institutes and programs like 1v1 classes from WhiteHat jr, Vedhantu and many other companies. they all are teaching different different stuff like coding, designing to kids.
As in current scenerio teacher cant be physically present in front of students to teach. so i wanted to make a Mobile app which a teacher can use to teach electronics and a student can use to learn electronics.
What it does
peARl
allows us to remotely teach basic electronics to kids form middle school and high school.
Teacher can use the
echoAR
Console to control the transform of 3D models of the app which a student is using simultaneously to learn, teacher will explain concepts through a voice call and can augment 3D models of electronic Components through student's phone
How I built it
At first I used Autodesk Fusion 360 to design some 3D models of different electronic Componenets.
Then I uploaded all the 3D models in EchoAR's console and costucted some meta data.
Then i used Unity 3D to download, assemble all components and animate them and for some UI Components.
Challenges I ran into
EchoAR was completely new for me, Thanks to Alon Grinshpoon Sir for Solving doubts in Workshop
AR Foundation is something completly new for me
Accomplishments that I'm proud of
I was succesfully able to make a prototype of pearl
What I learned
I learnt EchoAR cloud AR and AR Foundation
What's next for peARl (Primary Electronics Augmented Reality Learning)
I will continue this project and make it up to a comlete level
Built With
autodesk-fusion-360
echoar
unity | peARl (Primary Electronics Augmented Reality Learning) | An Cloud AR Mobile application to teach kids online basic concepts of electronics, which will be effective in this Covid Situation | [] | [] | ['autodesk-fusion-360', 'echoar', 'unity'] | 14 |
10,517 | 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'] | 15 |
10,517 | https://devpost.com/software/weatheraltermath | Inspiration behind WeatherAlterMath
On August 16th, I woke up to a thunderous sound. The windows were rattling, and as I pulled aside the drapes, I was greeted by a bright instance of lightning that ran from the atmosphere down to the ground. I was entranced, and motionless as I watched the thunderstorms rage on. After some time, I felt tired, and without thinking much about what I just saw I went to bed.
Two days later after that fateful night, I saw the sun was a bright pink color and an enormous wildfire raging just a couple miles from where I currently live. My family and I didn’t know what to do; we couldn’t decide if we should evacuate, stay home, or if the air outside was safe to breathe. Just overall the total lack of information and panic we endured struck the most fear in our hearts, as we saw the same behavior as our own in our neighbors. Maybe I thought, we should have been informed sooner about this, as the wildfires appear to us to become more ominous than before.
As time passed, I began to think about this idea and hope to make it into something more meaningful. To make an application or website that can help people make decisions and practice safe behaviors during events such as the one I recently have faced. Everyone deserves the chance to become prepared, ready, and know what to do when a weather phenomenon happens. One source of information that is readily accessible for all the information they need would serve them well. To protect the lives of many in our present will serve society well in the future.
So, now I and my teammates got this idea of creating a weather alert website called Weather AlterMath. We discussed what kind of features, information, and other resources it could have about wildfires and similar weather events. We worked on creating the website and helped build a prototype version of it. As we updated the website, it will contain information about wildfires, location weather by region, safety tips during weather events, and emergency contacts. We want to help develop the website in order to mainly teach younger children important safety information about wildfires and other such weather events. WeatherAltermath will provide fun and informative tools and resources for both kids and adults of all ages. It will have fun and relaxing tools and games and have links to resources such as art, music, exercise, and more. Overall, the purpose of this website is to help bring more positive reinforcement for residents and other users. We want to help people be informed and practice safe behavior during wildfires and other such weather phenomena.
How does your project come under the Community and Fun-Games track?
WeatherAlterMath comes under the section “Community and Fun Games” since it includes a list of resources pertaining to games and activities designed to teach about wildfires and similar weather events. Kids will enjoy the websites since there would be a dedicated section of the game and other tools for them to enjoy. There is an emphasis on education, preparedness, and fun in this project. The website aims to teach users of all ages in a fun, rewarding manner. Kids would enjoy the games and resources offered by the websites, while older kids and adults would enjoy the chat feature and information display about wildfires and how to prepare for such events.
Description of the project
WeatherAftermath is a website application aimed at residents for staying alert and informed about current weather alerts and resources to stay safe and active. It contains resources and information aimed at residents to maintain safe behavior during weather events and to be informed in a stimulating, and enjoyable manner.
How does your project give a positive impact on society?
WeatherAltermath is a website project aimed at helping people to become informed about wildfires and similar weather events. It seeks to help educate and thus help guide people to safe behaviors and actions during weather events such as wildfires. It can be as simple as helping people stay safe during wildfires, earthquakes, and other such happenings. That helping save lives is a direct, positive impact on society. Furthermore, in developing a more specialized website aimed at alerting people of wildfires and more, people would be more prepared and have more time to react in protecting themselves and their families. This information would be greatly beneficial to people around the world, as higher temperatures can lead to more wildfires and similar weather events in their local regions.
Improving the websites to have information about wildfires in other countries such as Australia would lead to a larger impact on society. That it would inform other users about wildfires outside the United States, and help them to decide if they should volunteer or donate to organizations involved in helping people during wildfires. More volunteering and donations will leave a positive impact on these regions. In this website, we would also discuss animal rescue and adoption as a result of these wildfires.
Did our web site provide volunteer opportunities to students and adults?
Our website includes a section that decided to help users become volunteers. First, on this specific volunteer page, we discuss the benefits to society volunteers bring to communities such as helping communities and fulfilling necessary roles. Second, we include resources to help people become volunteers through hyperlinks to external websites such as the Red Cross. Finally, the webpage also discusses how people can be virtual volunteers through websites such as Meetup.com.
What it does
Weather Aftermath is a website designed to help people primarily to know about local weather alerts and be informed of what to do during a weather event such as wildfires and earthquakes. It provides a fun and informative way for young children and people of all ages to learn about wildfires. It has plenty of features that inform and entertain.
This website provides local regional weather information for users such as temperature. It also has information about wildfires, weather alerts, and emergency contact information for users of certain regions. Users can also chat about current weather events with other users, and learn tips about how to prepare, endure, and act when faced with wildfires. This application also has games and tools for younger children to help take off their minds from current weather events.
How we built it
We build with HTML5, Javascript,CSS and some API.
Challenges we ran into
We faced as a team was coordinating and adjusting to the amount of effort and time to make sure our code was functional and complete. There was a significant amount of time spent double-checking, and at one point, we had to start over with a different framework to complete this project. Many times, we face significant challenges that delay or completely stop projects which lead to discouragement. Still, when dealing with a passion project or work that must be complete, it is best for everyone to keep pushing through and finish the work to the best of your abilities.
Accomplishments that we're proud of
The accomplishment we are most proud of is able to code such a complicated web app such as this project. This application requires many systems to function properly, and as such can be quite an issue to keep tracking in coding and testing such function.
What we learned
What we learned most of this project is how to communicate properly about cementing design and the main goal of the project. Wherever a team comes together to work on something from scratch, many ideas, suggestions, and desires are placed into the center of the conversation. More team members can mean more different visions for the project, which requires concrete discussions of what is the main purpose of the project and how to decide on roles for which team members and the workload for each person.
What's next for WeatherAlterMath
We want to develop this website even further with additional features. One possible feature I have discussed with other team members is adding a texting feature related to the weather alerts we feature on the web site. If a certain weather alert is active for certain areas, we want users who register with the website to receive a text about a current weather alert. At this moment, we want this feature only to affect users who register their cell phone numbers on their accounts. We are not currently planning to make a general alert system for entire regions. Besides this, we would want to discuss and implement more features as we created and maintain this website.
Built With
api
css
html
html5
javascript
Try it out
github.com
weather-altermath.herokuapp.com | WeatherAlterMath | Dodge Wild Fire... Ready...Set...Go...Escape and Enjoy Life | ['Sally Jain', 'Tinku Sharma', 'Parth Modi', 'Shubham Banavalikar'] | [] | ['api', 'css', 'html', 'html5', 'javascript'] | 16 |
10,517 | https://devpost.com/software/smiley-face-detector-for-scratch | Inspiration
I wanted to try to make AI in Scratch, I've seen some video on how to make it so I tried to replicate it in Scratch
What it does
At first the AI doesn't know anything, but after a while you can train it to detect smiley faces
How I built it
I used the Scratch Engine to make the entire process work
Challenges I ran into
One of the main challenges I ran into this project was the fact that I couldn't use any APIs or anything like that, That meant that I had to program the entire AI to work overtime, which is why you have to train it overtime. I had to watch many videos on how Artificial Intelligence works so I could get a better idea of what I could do to make sure this AI worked perfectly
Accomplishments that I'm proud of and What I learned
I'm surprised that this was able to work in the first place, it took numerous attempts to make everything running and I was able to learn a lot about Artificial Intelligence
What's next for Smiley Face Detector for Scratch
I would try to implement cloud data in some way
Instructions on how to use
Draw either a smiley face or something else (A squiggle, a frowny face, a number, etc.). Then press "Done". It will try to predict if you have drawn a smiley face or not. If you did, press "Yes". Otherwise press "No".Wait until it's done training. The more drawings you show it, the better it will get at distinguishing smiley faces from other things. Optionally, you can press t to instantly have it trained on 100 drawings. (This makes it very accurate). Click the green flag to reset. This learns and gets better over time. Don't expect it to be perfect at first. Mistakes are a big part of learning. It should become decent after 25 drawings.
Built With
scratch
Try it out
scratch.mit.edu | Smiley Face Detector for Scratch | Detect a Smiley Face after training an AI | [] | [] | ['scratch'] | 17 |
10,517 | https://devpost.com/software/stat-tracker-bot-hacks | Overwatch Stats Tracker
A Full Stack stats tracker made for the game Overwatch using Vue.js, Node.js, Express.js and tracker.gg's Overwatch API. It allows users to look up different player's stats across Battlenet, Xbox, and PlayStation Network. The stats tracker functions as follows:
Search Page
This is the initial page when the web application is loaded. It will prompt the user to select the platform the account is on, and input the username (along with a Battletag code if the user is on Battlenet). When submitted, the web application will pass the data to the API and return the relevant player's data if found. Else, it will display an error page prompting the user to go back.
Career Stats
The name of the player and the platform they are on is displayed here. There is a summary of what the player has achieved, such as time played, games won, and the winrate.
Quickplay/Competitive Stats
These are the stats the player has achieved in the respective game modes. Some of their best game achievements are also included.
To Run The App
After navigating to the project's directory you must run:
npm install
This installs the dependencies the project uses. Then, run:
npm run dev
This runs the front end and the backend concurrently and you will be able to test the app. You will be given a link in the terminal and by navigating to that link in your
browser, you can view the app.
Built With
bootstrap
css3
express.js
html
javascript
node.js
vue
Try it out
github.com | Overwatch Stats Tracker | Simple Full Stack stat tracker made for Overwatch using Vue.js, Node.js and Express.js | ['Ricky L.', 'Govind Nair', 'Daniel Wei'] | [] | ['bootstrap', 'css3', 'express.js', 'html', 'javascript', 'node.js', 'vue'] | 18 |
10,517 | https://devpost.com/software/covid-in-your-county | What inspired us
We didn't really have a design inspiration; I conceived the idea (1 of 2) in a brainstorming session.
What it does
Enables users to obtain Coronavirus information about their desired United States state and county; additionally showing them CDC resources about the virus + treating/preventing it
How I built it
Wrote a client-server application with flask and Jinja2 html templates. Team helped integrate/improve csvquery (our team's lib for querying csv like you would sql) and improved frontend/helped implement automation script.
Challenges I ran into
Had some trouble with the team/organization at first
Accomplishments that I'm proud of
Implementing Jinja2 and python flask again for a webapp with a team.
What I learned
Teamwork, scripting automation; csv querying.
What's next for COVID in your County
With permission from the CDC, implementing precautionary advice based off of the user's location/situation/relative number of cases around him/her.
Built With
api
apis
bash
batch
bootstrap
client-side
css3
csv
csvquery
flask
html5
http
javascript
jinja
pipenv
python
tcp
zsh
Try it out
github.com | COVID in my County | An application that enables users to obtain Coronavirus information about their desired United States state and county; additionally showing them CDC resources about the virus + treating/preventing it | ['Tarek Ali'] | [] | ['api', 'apis', 'bash', 'batch', 'bootstrap', 'client-side', 'css3', 'csv', 'csvquery', 'flask', 'html5', 'http', 'javascript', 'jinja', 'pipenv', 'python', 'tcp', 'zsh'] | 19 |
10,517 | https://devpost.com/software/alexia-sr9yt0 | Inspiration
We were inspired by the issue of people being unaware of things. Examples being how dangerous is it really to go outside during a pandemic in this specific town or is there a flood warning or hail etc. To make sure people are safe and aware we created Alexia which will always be accessible.
What it does
Alexia is a clock mainly so it must show the time but on top of that, it shows the weather report to warn you about anything bad heading your way and a COVID count with the percent of city infected to really help you understand is it safe or not where you are.
How we built it
We separated the task where one would be working on API requests from several places such as Openwather Map API while the other one works on the circuit and the C++ code that runs the Arduino. The third person was there to assist us both with issues and help us code.
Challenges we ran into
Some challenges we ran into was getting the LCD display to display the things we wanted and actually get the Arduino to function how we like it.
Also since we live in America it was hard to adjust for some of the ceremonies and workshops since our time is 10 hours behind.
Accomplishments that we are proud of
We are proud to complete this hack in time and have our Arduino circuit work.
What we learned
We learned how to work with OpenWeatherMap API and covid19 API. Also how to build a circuit using an Arduino and display things on to the Arduino.
What's next for Alexia
We would like to add a lot more functionality such as a temperature monitor check to prompt you to check your temperature which you will be able to do directly on the clock and create a nice looking case to encase it. More features on
https://github.com/Awty-Hackclub/Alexia
.
Built With
arduino
c++
covid19api
openweathermapapi
python
Try it out
github.com | Alexia | An IOT clock that helps you stay aware and ahead of your surroundings. | ['Sergei K', 'Tarek Ali'] | [] | ['arduino', 'c++', 'covid19api', 'openweathermapapi', 'python'] | 20 |
10,517 | https://devpost.com/software/darklight | The homepage of DarkLight
A page describing our mission
A page describing the impact of DarkLight
Inspiration
Girls face unique difficulties when they stay out of school. Most of them are recruited into child labor or doing only household work. They face exploitation, and many are subject to early marriages. As they grow, most girls become single mothers. But education for girls and young women gives them the educational tools to earn higher wages, build their families, and fight poverty within their communities. Educated women are more likely to educate their children, improve their livelihoods, and reducing extreme hunger and poverty in remote communities.
What does the website do?
This website targets girls and their families living in remote areas to provide them with educational resources. DarkLight provides girls with tools such as educational counseling and leadership development in order to support them as they get an education.
How we built it
We used the HTML5 programming language for this website.
Challenges we ran into
We forget the deadline, which forced us to complete this project within a very short time.
Accomplishments that we're proud of
We learned how to work in a team when we have a short duration of time to complete the project.
What we learned
We learned the power of teamwork and time management to balance schoolwork and hackathon projects.
What's next for DarkLight
With our website, we hope to reach girls from birth to age sixteen and make a lasting impact on their lives and the lives of generations to come.
We hope to make an impact on over 100 families in 21 villages.
If we can raise sufficient funds, we hope to provide up to 100 scholarships to ease the costs associated with educational materials, travel, and other expenses that make it difficult for girls to get an education. Although DarkLight already has the power to make change, its potential will only grow with time.
We wanted to introduce virtual tools for our projects in order to reach even more girls around the world. Although DarkLight already has the power to make change, its potential will only grow with time. Our commitment is to change the lives of young people through education and leadership development. If we cannot reach out and provide the resources to these children in remote rural areas, they will not go to school otherwise.
Built With
html5
Try it out
github.com
darklight.sjj3.repl.co
youtu.be | DarkLight | Changing the world for girls | ['Sally Jain', 'Elizabeth B'] | [] | ['html5'] | 21 |
10,517 | https://devpost.com/software/facebook-i3ag2y | Inspiration
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for FACEBOOK.
Built With
portugues
Try it out
www.facebook.com | FACEBOOK | MINHA PAGINA. | ['Viviane Coelho Ulysséa'] | [] | ['portugues'] | 22 |
10,517 | https://devpost.com/software/doc-home-hq8vba | The spread of the pandemic has caused a lot of changes in our lifestyle, people fearing to get outside their homes, transportation almost shut down and social distancing becoming all the more important. While the physical impact of COVID-19 can be assessed and treated, the mental impact is often ignored. Many people are experiencing emotional breakdowns and having depression. The new reality of prolonged quarantine period and lack of socialization are adding up the mental struggle. More than 50% of those suffering from mental health issues are not seeking treatment, due to social stigma. Doc@home is a web app build with an indention for helping to cope up with the current covid situation.
The app has 3 primary functions:-
1. Became an AI companion for those in quarantine
The new reality of prolonged quarantine period and lack of socialization with other family members, friends and managing the fear of contracting the virus and worry about people close to us who are particularly vulnerable, are all challenging for each one of us. This present environment in the country has increased stress and anxiety amongst the citizens.
Introducing to you Jessica, your very own AI companion. Jessica can help you overcome your isolation and loneliness
2. Provide a connecting medium for doctors and patients
Sometimes a chatbot might not be enough. You might need to seek professional help
The fear of traveling has resulted in the hampering of checkups of many people. Doc@home, helps patients to take their routine checkups from the comfort of their homes without the scare of the virus. It helps any patient to connect with the doctor of their choice, from the list of available doctors, and book an appointment according to their convenience either in offline or online mode.
The app has 2 portals, one for the patients requiring the appointment, and the doctors available for consultation. The patients can enter their medical history, any undergoing medication, etc which can be viewed by the doctor if he/she confirms their appointment. The index page of the patient and the doctor shows all their upcoming consultations. The doctor is notified if there are any patients requiring their appointment, and have the option to either confirm or deny, which causes a corresponding notification to be sent to the patient.
The doctor can also send the prescription with detailed feedback to the patient after consultation, along with the consultation fee to be paid. The patient can view the feedback in the history tab of their portal, which also provides the facility to pay the consultation fee by redirecting them to the Google Pay web page.
3. Create a forum for discussion
Another big issue that we face during this time, is the spreading covid related of fake news. News with no scientific basies like standing in sun can kill corona and yorr pets can spreading rapidly Corona for covid are rapidly spreadly
It is estimated there over 800 deaths have occured due to what'sapp fake msg
Doc@home also tackles this issue
I have created a forum (inspired by stack overflow website) that could help people differentiate fake news from the real ones. Here people can raise doubts regarding different aspects of COVID and get answers from professionals and other peers. It is a community-driven platform where doctors and ordinary people can meet and help each other out
This is a humble step from my side hoping to bring our world to normalcy with the pandemic on the spread.
Why Doc@home
⚕️ Easy and affordable medical consultations, at the comfort of your home.
📹 Video call + detailed prescription from verified doctors
🤯 Combats the social stigma surrounding the seeking of help for mental health issues.
🧘 AI companion for managing daily stress, anxiety, and depression issues.
💊 One-stop solution to keep track of your medical history and remind you to take your pills.
📱 Platform to verify the truth behind viral messages surrounding health and stop the spreading of fake news.
Demo
Watch demo :
https://youtu.be/YAN4tpV79TU
Screenshots
User Portal
Feedback from doctor
Doctor portal
Community forum
Built With
css
html
python
Try it out
github.com | Medicare | A web app to cope with the current covid situation | [] | [] | ['css', 'html', 'python'] | 23 |
10,518 | https://devpost.com/software/h4tp-director | Inspiration
H4TP
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for H4TP Director | H4TP Director | H4TP | ['Kelly Ly'] | ['Resources For All Attendees', 'All Winning Teams', 'Mini-Event and Tourney Prizes'] | [] | 0 |
10,518 | https://devpost.com/software/loud-whistle | Logo
Landing Page
Our Purpose
Face-ID Verification
Encrypted Login Page
Blockchain encryption on sheets
Create a new post
Inspiration
When the infamous Edward Snowden came out and revealed that the NSA was tracking and collecting private user data, he was driven out of his country and was deemed by the government as a criminal. In more recent times, we have seen how elections can be interfered by external sources such as russian hackers. These deeply rooted political issues was something our team felt had to be addressed.
What it does
We built a platform for whistleblowers to safely report mishaps in governmental and corporate hierarchies without feeling scared that they will be tracked. This information will then be available to masses of people as it rightfully should be.
How we built it
The platform is built using the languages Python3, HTML5 and CSS. Face-ID verification was implemented using the modules opencv and face recognition in collaboration with Flask. The blockchain SHA-256 encryption for the user information was developed in Python3, with Flask and Google Drive API to store the blockchain on a google sheet. The landing page where the whistleblower reports are posted was connected to a backend of sqlite3. The website front-end was created with HTML5 and CSS.
Challenges we ran into
Being high schoolers, we were new to hackathons and working in teams for coding projects. Especially this hackathon being a virtual one, made it much more challenging (yet fun!). We ran into issues with establishing a sqlite3 database, connecting servers, and using opencv to do face recognition.
Accomplishments that we're proud of
Creating our first ever blockchain
Integrating face recognition to our platform
What we learned
We learned to work with Google Drive API to store data
How to run a Flask Server
The intricacies of blockchain
What's next for Loud Whistle
Making it more user-friendly
Upvote and Downvote system for posts
Multilingual platform
Built With
css
flask
google-drive-api
hashlib
html5
json
opencv
python
sha-256
sqlite
Try it out
github.com | Loud Whistle | Loud Whistle is a highly secure blockchain encrypted platform for whistleblowers to release disclosed information of unprincipled motives within the governmental and corporate hierarchy. | ['Saurav Guduru', 'Gunit Raj Waghrey', 'Om Patel', 'Rijin Muralidharan'] | ['Best Digital Privacy Hack'] | ['css', 'flask', 'google-drive-api', 'hashlib', 'html5', 'json', 'opencv', 'python', 'sha-256', 'sqlite'] | 1 |
10,518 | https://devpost.com/software/calista-gd6xju | Calista groupchat log in
Calista chat room
Inspiration: Students have been face consequences such as suspension from schools from critiquing how they're handling things in this pandemic.
What it does: allows students to freely talk about things like covid and politics while taking the students privacy into consideration
How I built it: By using the languages, frameworks etc that are mentioned above.
Challenges I ran into: Being only able to make this during my meal breaks since I have a midterm coming up in a couple of days
Accomplishments that I'm proud of: Being able to make this in such a short amount of time.
What I learned: How to more efficiently plan out projects and focus on the big picture
What's next for Calista: I was thinking of including more features to better protect the identity of the students
Built With
css3
express.js
html5
javascript
json
node.js
socket.io
Try it out
github.com | Calista | Chat app that allows students to freely talk about topics like covid-19 | [] | ['Best Digital Privacy Hack'] | ['css3', 'express.js', 'html5', 'javascript', 'json', 'node.js', 'socket.io'] | 2 |
10,518 | https://devpost.com/software/decoy | Decoy
Decoy - Unauthorized user's information sent to laptop's owner
Inspiration
Theft is a large issue that plagues the economy. In a modernized society where technology is rapidly advancing, laptop theft is prominent now more than ever. Businesses and individuals alike use laptops on a daily basis, thus making them an easy target for criminals. Decoy aims to eliminate this by concealing itself as an everyday browser and fool criminals into revealing their location and face after they have stolen a laptop.
What it does
Decoy runs as soon as the browser is opened. The user then must state "close program" or "stop program" to authorize themselves as the owner of the laptop/computer within 8 seconds. Once 8 seconds has passed, Decoy takes a picture of the unauthorized user via webcam and retrieves the location (IP Address, City, Latitude, Longitude), sending the information to the owner of the laptop/computer via email. Lastly, Decoy will track anything the unauthorized user types and sends this information via email every 100 letters.
How we built it
We utilized Python to build Decoy, incorporating the libraries pynput, webbrowser, speech_recognition, requests, cv2, smtplib, ssl and email.mime.
Challenges we ran into
We had difficulties incorporating the part where an email is sent to the owner of the laptop due to there being an attachment required. We mitigated this issue by importing MIMEMultipart from the email.mime library.
Accomplishments that we're proud of
The fact that we were able to come together as a team and finish this project within the span of the hackathon with little prior knowledge is an accomplish we are proud of.
What we learned
We learned that creating a program from scratch is no easy feat and that it takes a large amount of effort to incorporate multiple libraries in order to create a fully functioning program. Furthermore, we also learned that creating a program requires hundreds of test cases to ensure the program does not crash due to unexpected events.
Built With
cv2
pynput
python
requests
smtplib
webbrowser
Try it out
github.com | Decoy | Theft is a large economic issue worldwide and as technology continues to evolve, we must find a way to protect our electronics. Decoy's purpose is to mitigate damages caused by laptop/computer theft. | ['Jacky Liu', 'Anson Wong', 'Jacky Nguyen'] | ['Best Digital Privacy Hack'] | ['cv2', 'pynput', 'python', 'requests', 'smtplib', 'webbrowser'] | 3 |
10,518 | https://devpost.com/software/the-cosim-city | Inspiration
As the world faces this pandemic situation there is a sudden need to understand how this disease spreads and what are the measures which could possibly stop or slow down the spread so that the authorities have enough time to take countermeasures.
The best way to do so is to simulate the situation, understand the reasons, and try out different ways to tackle the situation.
What it does
Cosim City
is a simulation of how a human to human transmission of disease happens and how can we reduce the rate of transmission through simulation and experimental studies!
Starting a total of 1000 people and with a less than 5 unknown infected, they start moving to their destinations and have a possibility to get others infected on their way if they are close enough to an infected one!
These newly infected ones can also infect others while moving! Also, these transmissions have randomness to keep things real.
To keep a track of the infected patients we have a real-time graph as well as the counter showing the rate of infection and the current count! You can speed up the simulation up to 4 scales to get things faster.
Also, you can switch between different camera views to have better looks at these movements! You can pinch and swipe to change angle! You can set your camera to follow a random infected person! And as an experiment, you can add a mask to all people which actually reduces the radius of infection!
How I built it
The project is build using the Unity3D game engine with all the code/scripts in C#.
Started with the basic shapes of players A capsule, 2 spheres for eyes, and a lovely cowboy hat.
Wrote a script to spawn houses at the base at equal distances to start with the city.
With the help of Navmesh generated, the player could walk on the surface avoiding obstacles.
With Capsules colliders, we can check if two or more people were close enough to get infected by one another, each player then checks if the other one is infected and then it might change itself to infected (Low possibility- 20-30%) - PlayerController.cs
On any change in infected status, it is informed to the graph script through an event and thus the current infected count is increased.
Challenges I ran into
Few of the challenges were:-
To increase the sample size of the simulation and yet not to affect the performance so as to keep it mobile-friendly, thus used a simple geometry of a capsule for the player shape
To trigger the infection with two conditions that the people are close enough while passing by and the other one is already infected. Over this to add a probability of about 15-25% infection in the above case.
To keep the track of infected patients in real-time and keep the graph as well as counter updated with the number up there.
Accomplishments that I'm proud of
Creating such an wide idea and implementing it in such a limited time was a big task, and I am proud to have done it partially.
What's next for Cosim City
We are planning to expand this project after this hackathon to add additional experimentations and see changes in the graph
Adding a feature to quarantine the infected patients after a certain duration to analyze its effect on the graph
To revive them from the infection and turn green in a few days and analyze the graph.
To add social distancing rules in the city and analyze its effect on the graph.
To introduce a vaccine for a small section and analyze the effect of group immunity.
Possibilities are endless and we are open to more such ideas!
Built With
blender
c#
navmesh
unity
Try it out
www.github.com
www.dropbox.com | The Cosim City | Cosim City is a simulation of how a human to human transmission of a disease happens and how can we reduce the rate of transmission through simulation and experimental studies. | ['Kritika Singh', 'Akash Bajpai'] | ['Best Sociocultural Hack'] | ['blender', 'c#', 'navmesh', 'unity'] | 4 |
10,518 | https://devpost.com/software/politiwatch-pd63ia | Inspiration
Over the past few months among my circles I have heard time and time " I only hope this movement keeps it's momentum" or "Do you think in 5 months we'll still be watching politicians the way we are now? 5 years?" It's a good question. And the simple answer is not without help.
What it does
Politiwatch is an app built to help us keep an eye on our elected officials and judge for ourselves whether they really are fighting for the values and issues we hold dear. It is an app built to engender critical thinking among the users. It supplies politician profiles, which have understandable and reviewable metrics. This including ratings of advocacy for political issues, top campaign contributors along with their influence scores, as well as a general follow through rating which compares campaign promises to actual action taken. Users receive all the information you need on campaign donors, advocacy measures, even legislation items.
How I built it
This was built with Figma prototyping
Challenges I ran into
I wanted the design to be simple enough for someone who just wants to check in on a local politician to have what they need, but informational enough that users aren't relying on one source or taking for granted the information they see. Finding a way to walk that line was difficult, but I'm happy with the results.
Accomplishments that I'm proud of
I love the way the app looks. I think the design is really simple and straightforward, which is always a plus. I also really enjoyed trying to find ways to use eyes as a theme throughout the design of the app.
What I learned
Design and how users interact with/ use an app are highly intertwined. While many think app design may be simple, they overlook the intricacies that come with it.
What's next for Politiwatch
I'd like to find a way to expand more of the content to be user generated and peer reviewable.
Built With
figma
Try it out
www.figma.com | Politiwatch | Politiwatch helps citizens keep an eye on democracy. | ['Anna Sipek'] | ['Best Political Hack'] | ['figma'] | 5 |
10,518 | https://devpost.com/software/radiate-zwber8 | GIF
Radiate Animated Logo
Radiate Logo
Inspiration
Currently, local officials survey COVID 19 patients retroactively, to determine their recent contacts. These records are often imprecise and taken after the patient has already infected dozens of other people. Radiate is a simple, efficient app that not only traces COVID-19 contacts prior to infection but also serves as an immediate response system to notify those in recent contact with a patient.
What it does
The app has three main features: the daily log, contact list, and alert system. After signing up, the user is taken to the daily log where they can begin recording their encounters. A log entry includes a date, map location, and a set of contacts. For example, “Friday 8/22, at Olive Garden, with Sara and Kody”. These logs, which are private and stay on the user’s phone, provide a detailed account for in-app contact tracing. Logs can also be reported to health officials at the user’s discretion.
The “contact list” allows users to view their contacts by favorites and recents. Favorites are certain contacts who will always be alerted, such as family or roommates. The remaining contacts are ordered by who you last created log entry for.
In the event that a user tests positive for COVID 19, the alert system prompts them to send a text message to contacts they have been exposed to within the past 2 weeks, which is determined by the daily log as well as their favorite contacts. The text message informs contacts of their condition and prompts them to self-isolate. Recipients who have an account with Radiate can then use the second option to inform their own contacts that they have been in contact with someone who has tested positive.
How I built it
We used figma to design the app’s UI, and coded it using Swift and Apple libraries like MapKit and Notification Center. Our main color theme is blue which resembles the healthcare industry.
Challenges I ran into
One challenge that we faced was sending a mass text to alert contacts that you or someone that you know has tested positive for COVID-19. Apple does not have the ability to send mass text without adding contacts to a group. The only way to go around this is to individually send a message to each contact or create a group with all contacts and then send a message. Our app went with the latter option.
Accomplishments that I'm proud of
We are proud of the apps UI Interface. We were striving for a clean and simple user friendly look. We are also proud that we were able to implement the three main features: daily logs, contact list, and alert system. Our team was able to produce a fully functional app within a short time frame.
What I learned
Because this hackathon was virtual, my team members and I learned how to efficiently communicate in an online setting. We learned how to create a UI prototype using figma. We also learned how to program new features in swift (Ex. gif, storyboarding, messaging, and location mapping.)
What's next for Radiate
In the future, there are a couple additional features we would like to implement.
An automated log feature would automatically create a log for 2 users that are within a certain distance of each other provided that they are in each other’s contacts.
The second future feature would be adding exposure probability. This will measure a person’s chances of contracting the virus based on how close you are with a patient.
Built With
apple-contacts
apple-mapkit
apple-ui-kit
apple-ui-notification
figma
swift
xcode
Try it out
github.com | Radiate | Radiate is a simple, efficient app that not only traces COVID-19 contacts prior to infection but also serves as an immediate response system to notify those in recent contact with a patient. | ['Elvina Almeida', 'Shreya Valaboju', 'Radhika Natarajan', 'Divya Karivaradasamy'] | ['Best Economic Hack'] | ['apple-contacts', 'apple-mapkit', 'apple-ui-kit', 'apple-ui-notification', 'figma', 'swift', 'xcode'] | 6 |
10,518 | https://devpost.com/software/ecobud-984phm | Welcome to EcoBud!
The landing page
Each buddy has its own unique fun facts page
Each buddy comes with unique content, such as mini games
Our logo
Inspiration
Globally, up to
one million
species are at risk of extinction because of human activities, as reported by the UN. Climate change is one of the most pressing issues that faces society today, and it doesn’t only affect
our
society. Damage to the Earth hurts
all
organisms. The plants and animals around us are also facing the consequences of environmental degradation and
we
have the power to curb this. Yet, many people do not take action, do not know the immense impact of their actions, or simply do not know where to start or what they can do. This app aims to demonstrate that anyone can contribute to the effort with varying tips for becoming more sustainable. Helping the planet can take many forms of various efforts and resources, from being careful about electricity and water usage by creating small goals to growing your own garden and using only renewable energy.
Our goal was to empower people through a fun and enjoyable, yet impactful and effective, online resource. We hope to enable others around the world to be conscious of their actions and to do their part in protecting the planet
through encouraging political action and the use of sustainable habits.
What it does
EcoBud allows you to select a"buddy", all of which are endangered animals. This buddy will become your little companion. They'll hold you accountable so you can know the impact of your actions on the environment and on their species. But, they'll also help you learn and grow while having fun. Your EcoBud's goal is to show you that you
can
make a difference through lifestyle changes, both subtle and significant.
After picking your companion, you'll be led to a daily questionnaire. The point of this questionnaire is to track your actions and to give you recommendations on how to be more sustainable. You can even track your progress by checking out the scores from your previous questionnaires. Your score will impact the happiness of your companion; if you practiced many sustainable actions that day, your EcoBud will be happy! However, if there is a lot of room for improvement, your EcoBud's mood will decrease. But, they'll give you tips for improvement and encourage you to live a more sustainable life.
In addition to realizing your habits and tracking your progress, you can play mini games with your EcoBud! Each buddy has a unique mini game that you can play. These games all relate to struggles that specific buddy faces due to climate change and environmental issues; for example, the mini game for the Hawksbill Sea Turtle involves helping your buddy find food among the plastic waste that is found in bodies of water. Some buddies offer data visualization pages so you can directly see how their species is being affected by climate change; for example, the page for the Great Curassow bird shows the impact of deforestation through a map visualization.
Your EcoBud will also help you learn neat facts; both for fun and to inform you and help you find ways to make a change when it comes to environmental impact. For example, did you know that Galapagos penguins are ready for independent life at only 3-6 months old? Or that every year, over $13 billion worth of energy leaks through small holes and cracks?
Your EcoBud will help you learn, grow, have fun, and most importantly, make a difference in the world.
Unique content
Turtle
Welcome to Save the Turtles! The objective of the game is to obtain as much food as possible while all avoiding pollution. Jellyfish and seaweed each worth 1 point. Your turtle will lose a life if you collect trash, like plastic bags. Control your turtle using your mouse. Good Luck!
Penguin
Welcome to Stay on Ice! The objective of the game is remain on an ice block as they slowly disappear. Use your arrow keys to move around.
Bird
Explore the map to learn about deforestation and climate change around the world. The pink areas represent of deforestation from 2001 to 2019; the darker the pink, the greater the loss. The red dots indicate the effect of climate change; the greater the circle, the greater the effect. Click anywhere on the map to view climate change statistics such as climate change readiness and vulnerability scores of that country.
How we built it
EcoBud's basic framework was built using
Glitch
, which utilizes p5.js, HTML, CSS, and JavaScript. The data visualization was made using
ArcGIS
. In addition, graphics and designs used in EcoBud are
original designs
made with
Vectornator
.
Challenges we ran into
Learning how to carry information from one HTML page to another to keep track of which EcoBud the user chose (to determine which images should appear, which game should be displayed, etc.) and their happiness score was a struggle. In addition, learning CSS was a bit tricky.
Accomplishments that we're proud of
We are especially proud of the sheer amount of learning that happened in just a few days through this project (more about that below)! We are also proud of all the neat graphics that we were able to create -- all of the animals, and details are original designs created for EcoBud! In addition, incorporating so many different elements (games, questionnaires, data visualization) into one project was a big accomplishment, and we are optimistic that the final product will inspire people to consider the impact of their actions on the planet, especially endangered species!
What we learned
As a group, none of us had in depth experience or familiarity with HTML and CSS. We were able to learn a lot about these languages and how to use them in conjunction with JavaScript to create a functioning
and
visually-appealing final project. We also learned how to implement forms that the user can fill out and interact with, how to handle multiple p5 canvases, and how to use data visualization.
What's next for EcoBud
We would love to add more species for users to select as their EcoBud! We would also like to make our pages more detailed and customized by including more questions on the questionnaire and having more facts and resources. In addition, we believe that data visualization is a powerful tool and incorporating more of it into EcoBud would be a huge next step. Finally, we'd love to allow users to have an account to store their progress with each species.
Built With
css
esri
glitch
html
javascript
p5
Try it out
github.com
h4tp.glitch.me | EcoBud | EcoBud makes living sustainably and fighting environmental issues enjoyable with an adorable companion that is counting on YOU to take action and make a long-term difference. | ['Kira T', 'Ayana Griffin', 'Siri Tanguturi', 'Sam Lim'] | ['Best Environmental Hack', 'Pale Blue Dot'] | ['css', 'esri', 'glitch', 'html', 'javascript', 'p5'] | 7 |
10,518 | https://devpost.com/software/openfires | Inspiration
Wildfires are a major source of air pollutants in the United States, especially in the western US. In the context of global warming, wildfires are expected to be more frequent and severe, and thus of increasing concern to the public and government, especially those in fire-prone regions like western U.S. and wildland-urban interface. Improved representations of fire data through our project could help facilitate understanding of the fire occurrence pattern and help inform decision-making activities related to the mitigation and prediction of wildfire risks.
What it does
In this project, we demonstrated wildfire trends and statistics in a spatially and temporally explicit manner using a comprehensive dataset consisting of 1.88 million wildfires across the contiguous U.S. over the time period 1992–2015. Our goal is to create an interactive wildfire inventory that could be easily queried and displayed.
Accomplishments that I'm proud of
Our visual analysis of the historic wildfire records and novel interactive interface will be a unique tool to engage the viewers to better understand the trends and future projection of wildfires. The predictive power of our machine learning algorithm to identify high-risk areas of future fire activity may facilitate findings that can have important implications for fire prevention and planning.
What I learned
We found a strong correlation between the number of wildfires and the time of the year. The peak season for fires happens around the same time across different years, yet the intensity increases as a result of global warming.
What's next for Mapping wildfire dynamics in the United States
We hope to integrate a machine learning based prediction system assigning likelihood to observed trends and to demonstrate the effect that climate change and human activities have on wildfires.
Built With
css3
html5
tableau
Try it out
github.com | OpenFires | An interactive visualization tool to help better understand the trends and future projection of wildfires | ['Penguin :)'] | ['Best Data Visualization Hack'] | ['css3', 'html5', 'tableau'] | 8 |
10,518 | https://devpost.com/software/insight-npwtms | Insight is a resource to help advance the understanding of COVID-19 and educate the public.
Insight
Insight is a resource to help advance the understanding of COVID-19 and educate the public.
Inspiration
Since people are very concerned about the spread of COVID-19, we created Insight to educate the public by using maps and locations to inform users about essential COVID-19 statistics & information at specific places.
We also provide updated news concerning important information related to COVID-19 around the world and tips to help prevent the spread of the virus.
What it Does
Insight is a website that utilizes maps and locations to inform users about essential COVID-19 statistics & information at specific locations. We created a map that highlights information regarding COVID-19 throughout the whole USA. We also created statistics for other countries if you are interested to see the data. We even provide updated news concerning important information related to COVID-19 and tips to help prevent the spread of the virus. Lastly,we know that many people are very paranoid about their exposures with COVID-19, so we created a free quiz that can calculate how likely you are to get contracted with the virus.
How we built it
We created our website using HTML, CSS, and JavaScript.
Challenges we ran into
We had some trouble with creating the map because we had to imports lots of data and make the map look visually appealing.
What we learned
We gained a lot of experience in coding and had lots of fun!
What's next for Insight
Looking into the future, we foresee that our platform will be fully functionable and attracting many users within 8 months. In the next month, we plan to continue to develop our platform by improving the front end looks and back end security & functionality and to make a mobile application. Second, we plan on spending about 2 months to get feedback on our prototype and adjust our product accordingly. Once finished, we can launch the product to the general public. The last and longest step, taking 4 and a half months will be our marketing campaign, in which we will expand our user base. We will do this through two major channels: social media influence and spread of information through word-of-mouth. This is our plan of strategy for Insight.
Contact Us
nehakonduru04@gmail.com
pranavraju2006@gmail.com
Built With
css
html
javascript
Try it out
github.com
Insight.nehak04.repl.co | Insight | A Deeper Dive into the World of Covid | ['Neha Konduru', 'Pranav Konduru'] | ['Best High School Hack', 'Wolfram Award for Top 30 Hacks'] | ['css', 'html', 'javascript'] | 9 |
10,518 | https://devpost.com/software/save-dem-animals | Our Contact Form
Our Homepage
Resources on how to save endangered species
Inspiration
When we started the hackathon, we were scrambling for ideas. One of our ideas was an application that uses echoAR to create a graph that displays the number of cases in your region. After experimenting with echoAR in android studio nonstop for more than a day, we decided to scrap this idea since it was too complicated. However we used some of the things we learned from this process and incorporated it into our website. As a last resort, we started brainstorming for new ideas, and we learned that there are many endangered species in the world. We knew we wanted to raise awareness for these species, so we decided to create a website that highlights regions with tons of endangered species, spreads awareness, encourages the user to help, and uses echoAR for AR visualization.
What it does
Our website has many parts. On the home page, we created a custom google map that highlights regions that contain many endangered species. It ranks them on a scale from most endangered(red) to least endangered(green). We also included a “What You Can Do” page, which has links to GoFundMe pages, petitions, and infographics so the people who view the website know what they can do to protect these endangered species.
How we built it
We used HTML, JavaScript, CSS, Bootstrap, and echoAR to create our website. We created our website using the repl.it IDE.
Challenges we ran into
When we started the hackathon, we tried using echoAR on android studio. We had to ask many questions on the echoAR slack, and ended up scrapping our idea after a day of nonstop troubleshooting and problem-solving. Halfway through the hackathon, we decided to create our website about endangered animals and ended up using an AR QR code from what we learned the previous day. Additionally making the 2D map into a 3D object for echoAR was challenging, and we ended up using Microsoft 3D builder. Time was also a big concern.
Accomplishments that we're proud of
We are proud of using echoAR on the website and creating a 3D model of the map. We are also proud of creating a custom google map, and creating our website as fast as possible( in like 4-5 hours!
What we learned
We learned that making an application on android studio using AR is very complicated, and we need to become more experienced with it. We also learned about the number of endangered species in the world, and how that number is troubling.
What's next for Save Dem Animals
In the future, we plan to refine the map and add more to the What You Can Do page. We hope this raises awareness for endangered animals.
Our team member Garv Jain's email address is:
garvjain2006@gmail.com
Built With
bootstrap
css3
echoar
html5
javascript
Try it out
SaveDemAnimals.garvjain.repl.co | Save Dem Animals | Our website uses HTML, CSS, JavaScript and Bootstrap to spread awareness about endangered animals all around the world. | ['Garv Jain', 'Anish Paspuleti', 'Kdr Prsd'] | ['Best Use of EchoAR'] | ['bootstrap', 'css3', 'echoar', 'html5', 'javascript'] | 10 |
10,518 | https://devpost.com/software/the-new-maps-project | Visualize the Algorithm
Inspiration
Many people don't realize how great the threat of gerrymandering is, for it is not often talked about, but it can drastically shape democracy in the United States. In order to fight gerrymandering, I thought about using a computer algorithm to draw district without partisanship.
What it does
There are many components to the project, for there is a CSV value converter and a visualizer tool from text files. The heart and soul of the New Maps Project is the powerful redistricting algorithm written in java. It redistricts without using partisan data and creates neat and fair maps for any state in the Union
How I built it
Java is used to power the district drawing algorithm. HTML, CSS, and JavaScript were used for the web components, like the visualizer and the CSV converter.
Challenges I ran into
Gathering the data was a huge challenge, for no centralized resource has a CSV file of a state's town name, population, and lat/long values. All these pieces of info I needed for the algorithm and I was a challenge to find this. Also, developing an entirely new algorithm from scratch is incredibly difficult, especially when working with big data.
Accomplishments that I'm proud of
I created a CSV converter which takes tabulated info about a state's towns and population, and converted them into CSV files, which I can use for my project, bypassing the data collection hurdle. I also successfully made the algorithm and executed it to complete a redistricting in full.
What's next for The New Maps Project
We seek to publish full data from running the algorithms to all 50 states in the Union.
Email Me
vincent.cai48@gmail.com
, for more details
Built With
css3
html
java
javascript
Try it out
fervent-wing-8b254d.netlify.app
github.com
github.com | The New Maps Project | Fighting gerrymandering with a powerful and effective algorithm that redraws districts so democracy can work at its finest | [] | ['Top 15 Projects', 'Best Use of Google Cloud'] | ['css3', 'html', 'java', 'javascript'] | 11 |
10,518 | https://devpost.com/software/maskit-smwf23 | header
Maskit
Our Proposition
The ongoing global coronavirus pandemic has caused a significant amount of confusion among experts and customers alike about the role respiratory personal protective equipment, especially face masks, may have in helping control the spread of the virus.
The uncertainty related to the novel nature of the contagion and, unfortunately, often lack of official guidance has led to a lot of misconceptions and uncertainty around the applicability and the effectiveness of different types of face masks in protecting the health of the general public on a daily basis.
With our app, we aim provide our users with accurate information on the most common types of face masks available to the general public and the intended purpose of each, with details on what kind of protection each mask type offers, and what is the current average market price is, to help our users make an informed decision when buying a mask for themselves and their loved ones.
Maskit features:
Provides the official medical information about different types of masks and their purpose
Provides NHS guide on how to use the mask
Helps track the budget
Notifies the user when it is time to change the mask
Helps track the environmental impact
https://youtu.be/AFaZ0a0q2L0
Built With
core-data
firebase
firestore
swift
Try it out
github.com | Maskit | Stay healthy efficiently | ['Eve Bogomil', 'Adrien Zier', 'George Karabassis'] | ['Best Use of Google Cloud - COVID-19 Hackathon Fund'] | ['core-data', 'firebase', 'firestore', 'swift'] | 12 |
10,518 | https://devpost.com/software/sublive-87st1h | Example
Example
Example
Inspiration
We wanted to address a sociocultural issue that arose as a result of the pandemic — the struggles of communication within the educational environment.
Much of our inspiration came from the realization that online classes bring many new challenges to students, especially those that are expected to tune into live classes. For one, a lot of students with bad internet connection may lag or not be able to successfully tune in to their lectures, leaving them having missed out on a lot of information. There are also students who simply have trouble absorbing information while listening to live, online lectures. When you’re at home, you may have family members making noise, emergencies to tend to, and simply many distractions that keep you from being able to hear everything. It would be ideal in both of these situations to have a real-time transcript to look back on to not stay behind during these hectic and frustrating times.
What it does
SubLive is a real time transcription extension that allows students to receive a text transcription from their live lectures. It displays a popup with options to either create a session that will be transcribed, or to join a session to receive up-to-date transcriptions. The users will be completely anonymous, and no data will be saved to ensure data privacy of the users.
How we built it
We built SubLive using a combination of React, Node.js, Google Cloud's Speech-to-Text API, and Firebase. The user interface was created with React, and Node.js served as the JavaScript runtime environment for us to work with Google Cloud and Firebase.
Challenges we ran into
Our team faced many obstacles in order to properly implement SubLive. None of us had ever worked with making extensions or working with Firebase. There were many struggles working with new technologies, but we never regretted any of it. We originally made a web application that suited our needs, and would later adjust it to an extension format. One of the walls we ran into was getting the extension popup to display our application, since most of the time it would be unresponsive. Another wall was getting the Google Cloud Speech-to-Text API to send data and have the Firebase database update in real time. There were many optimization issues that slowed down the delivery of transcriptions to the extension.
Accomplishments that we're proud of
We are proud that we managed to successfully sync the application to a real time database to receive live data. It was also rewarding to have worked with Google Cloud services and being able to successfully make an application out of it.
What we learned
We learned how to create extensions by diving into Developer Mode within the browser and using manifest.json to implement a functional extension. We also learned how to work with Firebase and its databases to write and read data. Lastly, we discovered the incredible potential within Google Cloud's services that could translate to meaningful applications to help those in need.
What's next for SubLive
With only 72 hours to work on SubLive, we could only implement the essential functionalities to our application. However, we have many ideas on how to improve SubLive to better the experience of our users.
Future features include:
-allowing users to have access to a list of their previous transcriptions,
-having the option to transcribe directly into text files such as Google Docs,
-a permanent window extension for easier mobility and accessibility,
and many more to come!
Made with love by Yun Su Um, Rick Gao, Lindsey Park, Celina Cywinska
Built With
firebase
google-cloud
node.js
react
speech-to-text
Try it out
github.com | SubLive | Due to the rise of online learning, students are encountering new problems. We've created a chrome extension that allows the creation and access to the live transcript of lectures and presentations. | ['Rick Gao', 'Lindsey Park'] | ['Best Use of Google Cloud - COVID-19 Hackathon Fund'] | ['firebase', 'google-cloud', 'node.js', 'react', 'speech-to-text'] | 13 |
10,518 | https://devpost.com/software/reya-a-sustainability-focused-marketplace | Webpage
Marketplace
Description of product and sustainability index
Description of product and sustainability index
Inspiration
With the expansion of fast fashion, the industry has become the world’s second largest polluter. Workers are being abused at an increasing rate in harsh environments to meet this demand.
People, including the four of us, are noticing this problem, and we have turned to more sustainable fashion products. However, it is often very difficult to find these products since they are all over the place. Moreover, the public still lacks the understanding of the environmental harms of fast fashion and many ethical brands lack awareness in the market. Thus, there is not yet a place that brings these shoppers and sellers together.
At REYA, we plan to be that bridge.
What it does
REYA is an online marketplace for sustainable fashion items from ethical brands and up-and-coming designers with sustainability in mind. Our value propositions include:
To help educate the market about environmental concerns of fast fashion through educational content distributed via our social media channels.
To help customers find more sustainable brands and products all in one place.
To help sellers expand customer base and reach the right target market.
How we built it
REYA is built using the following language/tools:
Figma for UI designs and prototyping
React for frontend implementation of the website version of the platform
Firebase for backend, authentication, and database management
In the production version, Google Cloud functions will be used to manage stores and customers as an extension of Firebase.
Challenges we ran into
An obvious challenge we ran into is that the concept of sustainability, although extremely important, is still in its infancy and is still to be incorporated into different industries. The fashion industry is no different -- there is still limited data available on this topic which makes it difficult for us to research and validate the market.
In terms of working together as a team, working remotely has been an obvious yet unavoidable challenge. It has been quite a challenge brainstorming ideas without seeing each others’ faces and keeping track of everyone’s interests and progress on their work.
Technical challenges include integrating with payment gateway services as well as creating custom APIs for logistics tracking
What's next for REYA - A sustainability-focused marketplace
Our vision is to be the largest global sustainability-focused marketplace. However, our baby steps to accomplish this vision is to launch our platform as soon as the first quarter of 2021. Our development team is currently working towards the first production version. We will also launch a marketing campaign on social media channels with hopes to spread the words around sustainable fashion. Our partnership teams are reaching out to brands in Southeast Asia to onboard them onto our platform. By the time launch, we will have 10 partner brands as well as an established payment and delivery infrastructure.
Built With
figma
firebase
react
Try it out
drive.google.com | REYA - A sustainability-focused marketplace | One-stop marketplace for sustainable fashion | ['Grace Leeswadtrakul', 'Jessie Mahadumrongkul', 'Joy Leeswadtrakul', 'Napat (Earth) Kulruchakorn'] | ['Hindsight 20/21'] | ['figma', 'firebase', 'react'] | 14 |
10,518 | https://devpost.com/software/covid-community-connections | Home page with menu bar open.
Experiences page where you can view people's stories of dealing with COVID-19.
A sample experience.
The form where people can submit their experiences.
The Statistics page that includes graphs that illustrate the data collected by the forms.
Another type of graph on the Statistics page.
A clickable map showing up to date data on COVID-19 for each country.
Inspiration
When the world shut down in March 2020 due to the COVID-19 pandemic, no one had any answers for what lay ahead. Exacerbated social and economic problems only amplified the calls for help. From historic unemployment, to a greater reliance on food banks, to an increase in divorces, the coronavirus has taught us to lean on each other a little more at a distance and to be wary of fake news. With community spirit and a need for trustworthy news sources in mind, we decided to create a website from scratch addressing these two central issues.
While the world is on pause, so many of us are hopelessly scrolling through our news feeds from home. People are frantically trying to decipher what is true and what is false in these times of uncertainty. As a new pandemic, there are many blanks in our understanding of the virus leading to misconceptions and fear.
It can be lonely for those affected who are quarantining alone or who don’t know anyone else going through what they are. Our professionals don’t know everything about the coronavirus yet, so having people telling their stories can help others. In order to help our community, we want to provide a safe space where people who have been affected by COVID can share their experiences, connect, give tips and positive words. People’s inputs will then be translated into our statistics page to show the percentage of people that have had each symptom shown below.
The internet is filled with false information. We are here to demystify them to educate people and spread safety.
What it does
COVID Community Connections is a website that allows people to connect around the world by sharing their experiences with COVID-19. On the website, you can view other’s stories and read how their lives were impacted by the pandemic. You can also share your own story by filling out the form on the website.
COVID Community Connections is both a tool for connecting and a tool for educating. Aside from the Experiences feature, the data collected from the forms is also compiled into graphs on the Statistics page. This allows for people to see and interpret crowdsourced information about COVID-19 and its most common symptoms. Additionally, on the Information page, there is a clickable world map that displays up-to-date data relating to COVID-19 cases for every country. On this page, there is also a Fact Checker section that displays common misconceptions about the pandemic and offers credible sources and articles to educate people on the realities of COVID-19.
How we built it
The website was built with HTML, CSS, and JavaScript and most of the development was done on Glitch. We also made use of Google’s Firebase RealTime Database and an API for COVID-19 data. The p5.js library was also used to create the animations of the loading screen, which were recorded and put into a GIF and of the home page and headers, which are live and randomized sketches. Other tools and programs used include Photoshop and GitHub.
After deciding on an idea, we divided our tasks and spent the first day trying to complete as much as possible. By the end of the day, most of the UI was done, the database was created, and the graphs were added to the page. The second day was dedicated to connecting the database to the forms and graphs and fixing any bugs that came up. Also, this was when the UI was cleaned up and styling for the mobile website was made.
Challenges we ran into
Most of the challenges we ran into were related to using the database since we are fairly new to it. One of our bugs would be that the graphs on Statistics and the experiences on Experiences would only load and show after the page was refreshed for a second time. After reading through the code, we realized that the functions calling for the drawing of the graphs or showing of the experiences were being called before the appropriate data was being retrieved from the database. To fix this, we called these functions after getting what we needed from the database. Another problem we ran into was updating statistics information when a form was filled out because we were having difficulty with finding the right branches and using parse to be able to use the data how we wanted it to be used.
Accomplishments that we're proud of
We’re proud of the product of this weekend because it is the culmination all of the hard work, dedication and skills we’ve learned. To see it pay off as a tangible and deliverable project feels amazing, especially considering that we were able to complete it in one weekend. In particular, most of us have never worked with an api before and are pleased to have been able to integrate it smoothly into our interface.
What we learned
We learned a lot, not only about how to make a website and the many, many things required to build one, but also about how to work together as a team (especially during the hard times) and create something bigger than ourselves. Through every glitch and setback, we used our skills and each other to come out the other side.
On the technical side, we were excited to further our knowledge of Google Firebase as we have worked with it once before. We also got more comfortable with designing UIs and optimizing our code so that we can quickly adapt it should any change arise.
What's next for COVID Community Connections
Future plans for the website include adding a discussion forum where people can have conversations in real time and be able to reply to people’s Experiences. We would also like to add other language options to make Covid Community Connections more accessible.
Built With
apis
css
firebase
html
javascript
p5.js
Try it out
covidcommunityconnections.github.io
github.com | COVID Community Connections | Connect with people around the globe to share your experiences with COVID-19 | ['Janvi Patel', 'Camilla Sophie Djamalov', 'Laurel Xiang'] | ["People's Choice", 'Honorable Mention', 'Re-Flatten the Curve'] | ['apis', 'css', 'firebase', 'html', 'javascript', 'p5.js'] | 15 |
10,518 | https://devpost.com/software/compear-1dy7hu | Inspiration
A lot of people want to eat greener but for a lot us, the problem is not knowing how to do so in a simple way. Furthermore, we don't even know the environmental impact of the choices we make. For example look at almonds. It wouldn't seem like it but these little devils are huge environmental hassles, taking around 20 gallons of water to grow just a handful of them. Not knowing the impact of what we buy is what inspired us to start working on this.
What it does
Compear allows users to create a grocery list and then it informs them on the environmental impact of their choices. This allows users to make informed decisions and put their money into greener products. Enormous greenhouse gases are produced in order to feed the planet and that's incredibly hard to change. Our app doesn't change the world which might be difficult for any app to do. Our app only helps with changing the minds and allowing people to be smart when they shop. The benefit of our app is that it's a very simple change to everyone's lifestyle that can help to slowly and steady reduce the impact food has on the planet. Compear allows users to compare products and pick alternatives to the food they buy that provides them less impactful products as well.
How we built it
Being all new to mobile development, none of us were able to build this into a fulling working app. So for this project, we relied heavily on what we do know; design and prototyping. Using framer, we build a somewhat working prototype of our idea and were able to create something that illustrates the capabilities of Compear. Using framer, we used our knowledge of UI to build something that could be a real and working app.
Challenges we ran into
The biggest challenge we ran into was definitely making everything work. Originally, we did want to make an app but lacking that knowledge meant we ended up just having to build it in framer. Then, we built the UI and made the prototype work as well as we could. The prototype had many issues simply because our group didn't know how framer worked and we even had to utilize React at times which we didn't know.
Accomplishments that we're proud of
We're proud of finishing our very first hackathon and getting everything to work as well as it did. We've learned a lot about prototyping and how framer works, alongside UI and design in general. We're also really proud of how well we've worked as a team and overcame all our struggles together and found ways to make everything work and split up the tasks. We're also pretty proud of the final product we've made and how it looks and it's overall design.
What we learned
We've learned a lot about how to design an app and how they should look, along with how to manage UI. Prototyping was also something we learnt a lot. This was our first time using framer so we learnt a lot about prototyping apps and how to make them work. Furthermore, this was our first hackathon project so we learnt a lot about hackathons in general. We learned what we should expect from hackathons and how to actually participate in them.
What's next for Compear
The next step for Compear is to build the full database of all the different foods and their respective environmental impacts. After the database is built, then we move onto developing the app fully. The thing we have right now is a prototype since none of us knew how to code this full working app.
Built With
adobe-illustrator
framer
react
Try it out
framer.com | Compear | When you go shopping, you probably keep a list with you. Compear is exactly that. It's a grocery list that educates you on your choices and helps you shop greener and cleaner. | ['Aditya Pawar', 'Priyanshu Mahey', 'Jenessa Gordon'] | ['100 Seconds To Midnight'] | ['adobe-illustrator', 'framer', 'react'] | 16 |
10,518 | https://devpost.com/software/muse-9jdigs | Logo
Full Figma
Opening SlideShow Card
Inspiration
Closing Card and our Plans
Inspiration
Many of my friends are aspiring artists. I've heard them complain about how difficult it is to find commissions at a fair price. Many customers will demand a lower price or attempt to pay them in exposure, not realizing the time and skill it takes to create art.I noticed the media advising people to order take out from their local restaurants rather than chains to benefit their community. However, I saw the same wasn't being done for the local artists that were hit just as hard. Furthermore, with the closure of so many events, many local businesses at appear regularly at conventions have taken a substantial hit, forcing them to hold large scale sales and move to majority online purchases to make up for the lost revenue. I wanted to create a product that could help my friends and local businesses receive the profits and recognition they deserve, without relying on sites that pull a percentage of their profit.
What it does
Muse is a mobile app that allows consumers to look for commissions to search for a list of artists in their area. They can search for them by their profession or style until they find the artists they need. They can also utilize the locate function to find artists within their area and where they might be performing. Once an artist has been selected, the customer can message them about the project, price, and any other elements before formally purchasing a commission from the artist. On the artist's end, they'll be able to upload their work or previous experience and encourage their past employers to leave them reviews. They can also link to their social media for a more in-depth look at their skills
How we built it
We built our app using FIGMA while planning out interactions powered by several technologies. We intend to use Android Studio powered by Flutter to create the app and link it to google maps for the locator tool and google cloud to store the data and information.
Challenges we ran into
At the moment of implement some features it was a little bit hard because we forgot to put it in the "main design" so we had to redesign full pages to make it work, finding the correct icons so everything can look good
Accomplishments that we're proud of
We are most proud of our teamwork together. Even though we all live far apart, most of us in different time zones, we evenly divided tasks and asked each other's opinions on each step. From the color palette to the included features. This resulted in a detailed and well-crafted prototype that we can be proud of.
What's next for Muse
Our goal is to continue working and have the app entirely constructed, utilizing Flutter for its creation and Google Cloud for data storage. Once completed, the app will be placed onto the apple store and google play to reach the maximum amount of artists.
Built With
figma
flutter
google-cloud | Muse | Connecting local creators and businesses to their community | ['Sloane Miller', 'Eunice Tovar', 'Sophia Risin'] | ['Some Good News'] | ['figma', 'flutter', 'google-cloud'] | 17 |
10,518 | https://devpost.com/software/ecoeateries | Inspiration
We were thinking about how to solve concrete sustainability problems, and realized that local and community efforts are often most powerful. We wanted to help empower local businesses (for now) and eventually larger restaurant business to set and track their own goals in adopting sustainable business measures. There's a lot for restaurants to do, and we wanted to make it a bit easier.
What it does
You can get started by registering and selecting some goals to work on; there are different points for each goal but you can get a total of 20 points in each category. If you’re a customer who’s curious about the participating restaurants and their progress, you can search a restaurant on the main page or view listed restaurants’ reports. If you’d like contact us with questions or to report an issue, you can find our developer contact information below.
How we built it
We used react and CSS to build the front end. We also use mysql for our database, which is hosted on Google's CloudSQL. Finally, we used python and flask for our back-end functionality.
Built With
flask
javascript
mysql
python
react
scss
Try it out
github.com
github.com | EcoEateries | Help your business turn over a new leaf. | ['Sneha Shivakumar', 'Raji Rajkumar', 'Sadaf Khansalar', 'Dania Alnahdi'] | ['The Sixth Extinction'] | ['flask', 'javascript', 'mysql', 'python', 'react', 'scss'] | 18 |
10,518 | https://devpost.com/software/dystic | Home
About Us
Contact Us
Chat Bot
Create a Resume
Completed Resume Example
Signup
Login
Created by: Sohil Athare, Andrew Yang, Anonymous Member, and Arnav Shah
Dystic, an app for disabled individuals to find jobs that can satisfy and meet your personal condition. With our app, we will specifically show you the available jobs around you as a disabled person. We are giving you the same financial opportunities as everyone else in the community. Our AI Algorithm can build a resume instantly without you worrying about how to write a good resume. If you can’t decide on which job position to apply, simply save them to your account until you are ready. Having trouble using our application, our human-friendly chatbot that will simulate a real-life job agent, you can get the solutions you need without having any technical skills. With Dystic, finding a stable career with disabilities will no longer be a difficulty in our community.
Inspiration
In many communities around the world, COVID-19 has
devastated
the job industries. Millions of Layoffs in the United States alone. One of the most impacted communities from this pandemic is the disabled community. We were hit close to home with this.
What it does
Using various Google APIs we find Jobs that a person with a disability can work for. Along with this, we have an AI-powered resume builder. We also make it possible to adapt various accessibilities such as vision impairment with Text-to-Speech and Speech-to-Text
How we built it
We used various Google Cloud Products and APIs for our project:
Firebase Authentication - Login and Signup Users
Firebase Firestore - Storage of User Info
Firebase Cloud Storage - Store Resume Files
Firebase Hosting - Host our site
Google Analytics - Understand Users on the Platform
Google Maps API - Place Locations where Jobs are at
Cloud Talent Search - Find Jobs and Add Jobs with ML built-in
Cloud NLP - Analyze Resume Content
Dialogflow - Make a User-Friendly Chatbot
Node.js & Express.js - frameworks
Adobe XD - design
Bootstrap - CSS Framework
Challenges we ran into
We faced many challenges with our project.
Cloud Talent Search would return many Google Server Errors which would need many workarounds
Firebase Hosting issues
Node and Express had a hard time with the Firebase as a backend
Limited Google Cloud Experience
Limited amount of Google Cloud credits
Unable to use Node modules on browser DOM with vanilla JavaScript.
Unable to bypass Google's security system when making API calls.
Difficulties merging frontend with the backend.
Slowly but surely we resolved every problem we had faced.
Accomplishments that we're proud of
We are proud of using the Google Cloud Platform
We are proud that we will be able to start sharing this platform after this hackathon is over
We are proud that people will be able to use this
We are proud of overcoming our obstacles
We were able to accomplish all functionalities
Most of all we had
fun
!
What we learned
We learned so much throughout the course of the hackathon. This included using the Google Cloud in our project as best we can. As this is considered a COVID-19 project because of our approach, we wanted to make sure the users had the best experience with our product which Google Cloud allowed us to do. We all didn't have much prior experience in Google Cloud but now we will continue to use it.
What's next for Dystic
Implement more Google Cloud products
Deploy this into production and have people use it
Solve some issues that we encountered into a permanent fix with the Google Cloud
Add more features
Get feedback
Deploy this into production and to make accessible
Update:
We received $2,350 from Google as part of the Google Cloud Covid-19 Fund to continue our project
Built With
adobe-xd
bootstrap
dialogflow
express.js
firebase
firebase-authentication
firebase-cloudstorage
firebase-hosting
firestore
gmail-api
google-analytics
google-cloud
google-maps
google-nlp
google-web-speech-api
jspdf
node.js
talent-search-solution
Try it out
github.com | Dystic | Empowering the Unemployed and those with Disabilities with help to find Jobs during for now forever. | ['Sohil Athare', 'Andrew Yang', 'Arnav Shah'] | ['1st Place', 'Best COVID-19 App (Google Cloud)', 'Wolfram Award for Top 30 Hacks', 'Best use of Google Cloud (Google Cloud) - 2nd place'] | ['adobe-xd', 'bootstrap', 'dialogflow', 'express.js', 'firebase', 'firebase-authentication', 'firebase-cloudstorage', 'firebase-hosting', 'firestore', 'gmail-api', 'google-analytics', 'google-cloud', 'google-maps', 'google-nlp', 'google-web-speech-api', 'jspdf', 'node.js', 'talent-search-solution'] | 19 |
10,518 | https://devpost.com/software/poisonplanttargeter | MushMush Fungi Classifier
Inspiration
People are craving for outdoor activities. With cinemas and bars remain on the more dangerous side of the spectrum, national and provincial parks become a top choice for people who are eager to go out.
Canada has made an active effort in attracting young adults and young families to visit national and provincial parks. As younger people remain the lower-risk group regarding COVID-19, they tend to be more active when going outside.
With limited botanical expertise, young adults and families with young children tend to be less careful yet curious when encountering plants or fungi in nature. Contacts, if unlucky, with poisonous plants and fungi can pose a serious effect on one's health and requires immediate care. Therefore, we want to build a platform for young users to be more cautious in dealing with plants and fungi in the wild.
What it does
MushMush is a mobile app that classifies the species of fungi the user uploads and gives information on the edibility of the mushroom. The app is based on a VGG image classification algorithm in Python.
Moreover, we would like to develop this app into an online community for young nature-lovers. As more young people are venturing into nature, this online community allow users to share their experience and knowledge in plants to help others identify potential danger.
How we built it
We are building a complete machine learning web application for predicting the image that our users upload to our server.
We use the Python language for this project. Data is being scraped from a website that provides reliable fungi information. We are using Bootstrap as our front-end tool and flask framework as our back-end tool for our application.
After simply data wrangling, data been applied to a machine learning classifier based on a convolutional neural network, which is considered as a gold standard for image classification. We basically used a pre-trained CNN model called VGG16, which is trained on the ImageNet dataset, and it is suitable for our project.
We then modified the number of classes to match the number of different species of mushroom in our dataset and trained on our dataset again. With the model, we are then able to predict on the test image, whenever there’s an image uploaded by a user, we can use our model to classify(more specifically, predict) what species this mushroom might be and give a percentage of how confident is our model about this prediction.
The model weight is then saved to a file and can then be easily accessed by simply building the same model structure and can be loaded in easily for our web application
Challenges we ran into
The unavailability of bulk images in our plant or fungi dataset poses a major challenge to our model. After scrapping the information from
http://www.mushroom.world/
, we only have five or fewer images per species of fungi which resulted in low accuracy in the testing set. To mitigate this problem, we utilized Webscrapping using Python to scrape more images from Google images/augmentation to increase the number of images in our training and testing sets. Eventually, we obtained xx% accuracy in our testing set.
Accomplishments that we're proud of
We have collaborated to work with web application techniques and neural network methods to deploy a complete Machine learning application that can be accessed and used by other people.
What we learned
Deploy the neural network model using Flask as an API, and use the PyTorch library, which is more convenient to run our code on GPU, and also will not cause trouble like the TensorFlow/Keras version issues.
What's next for MushMush
We plan to expand our dataset into plants
Model we trained (Please in the app folder)
Model google drive:
https://drive.google.com/file/d/1Liw_SsOnRxmRoRCWiwjjihPwjuJBspbW/view?usp=sharing
Authors
Luca(MingCong) Zhou
-
Initial work
-
chefZau
Jason
-
Initial work
-
wjhlang
Claudia Lou
-
Initial work
-
ClaudiaLOU
Zoe(RuiYing) Zhang
-
Initial work
-
rzhan97
Built With
html
jupyter-notebook
python
Try it out
github.com | MushMush | An Image classification mobile app for young nature lovers--help you enjoy your outdoors even more! | ['Luca Zhou', 'Claudia Lou', 'J Unknown', 'Zoe Ruiying Zhang'] | [] | ['html', 'jupyter-notebook', 'python'] | 20 |
10,518 | https://devpost.com/software/gocruseres | scaning qr code to get points
placing order
after logging in
redeeming gift cards
signup
login
choosing gift cards
Inspiration
Transportation is one of the important forms of human survival, but it is also causing a major problem to the environment we are thriving on. As the population of this Earth is growing rapidly causing more use of vehicles is resulting in issues such as global warming – rising of the temperature of the earth, which ultimately results in climate change and various disastrous events. To reduce the occurrence of these events most countries have come up with public transportation as we know of but the motivation to use it has been decreasing as people are comfortable with their own mode of transport like cars, planes etc. . In total, the US transportation sector—which includes cars, trucks, planes, trains, ships, and freight—produces nearly thirty percent of all US global warming emission.
What it does
The hack we did helps reduce this burden by encouraging people to use public transport. The idea is to incentivize people with gift cards or rewards who use public transport daily. Commuters can scan a unique QR code generated by the bus or train and use it to earn points for their travel. The points accumulated by the frequent use of this mode of transport can be redeemed for a gift card or a gadget. More points can be earned by using the most frequent routes and more distance traveled.
How we built it
Moving to the technical aspect of the application. We developed the mobile application using react native and node.js to architect the back-end. Additionally, we used a MYSQL database which is hosted on the Google Compute Engine via CloudSQL. The entire app is hosted on the google app engine.
Challenges we ran into
We had a major challenge trying out google cloud and integrating it to our application. We had to follow a couple of tutorials and website blogs to overcome our challenge
Accomplishments that we're proud of
We are proud of learning new technologies used for this project and the time we spent developing the app as a team.
What we learned
We have learnt about the global changes caused by people by not using public transport. It was a challenge to use completely new technologies by our team members as no one was familiar with the technology stack we used. Learning React Native, Node.js, Express.js, hosting the app on Google Cloud App Engine and storing data in Google Cloud SQL
What's next for gocruisers!
We plan to add a couple of features like route frequency, referral, etc.
Built With
cloudsql
express.js
google-app-engine
mysql
node.js
react-native
sql | gocruisers! | The idea is to incentivize people with points who use public transport daily and more frequently which can be redeemed later for gift cards or rewards. | ['Reetish Chand', 'Thota Yamini Ratna', 'Rohan Vannala', 'Vishwashri Sairam'] | [] | ['cloudsql', 'express.js', 'google-app-engine', 'mysql', 'node.js', 'react-native', 'sql'] | 21 |
10,518 | https://devpost.com/software/the-right-plant-for-me | Quiz example
Homepage
More detailed plant profile example
COVID-19 has been ruinous to mental health across the world from prolonged isolation, loneliness, lack of routine, and work to do. As you are stuck in your homes for health safety, houseplants can help maintain a feeling of well being and provide you with a personal sense of responsibility to your plant, with responsibility comes routine and healthy habits that can improve your well being and mental health. Our website matches your preferences to their perfect plant during these tough times in hopes of lifting the user’s mood with the long term goal of and improving their mental health. Our project considers preferences such as the climate, amount of maintenance, lighting conditions, and size. For example here is question one..for me i watch this many hours of tv... If we were to continue this project, we would add features such as suggesting online sustainable and ethical sellers for plants to minimize excessive packaging, plastic pots, plastic wrapping and poached plants/unethical sources from the wild.
We learned how to use
Bubble.io.
We built the webpage application through Bubble.io by watching a few tutorials and fumbling around the platform and trying different things out.
One of our biggest challenges was simply figuring Bubble.io out. We found that although it was easy to understand and to get started, we quickly faced technical troubles. This was the first time any of us have used a no-code programming platform, so we couldn't grasp the ideas of how to use workflow to connect user interaction to making changes in data. Using Bubble.io was a completely different experience from multipurpose languages, and we had a hard time translating our foundational knowledge in general languages to a no-code platform. Creating a counter and threshold algorithm through a workflow event was particularly difficult, and we eventually had to cut a lot of what we intended out.
Built With
bubble
Try it out
plantrecalgo1.bubbleapps.io
plantrecalgo1.bubbleapps.io | The Right Plant For Me | Our website matches your preferences to their perfect plant during these tough times in hopes of lifting the user’s mood with the long term goal of and improving their mental health. | ['Faith Christian', 'Alexandria Y', 'Gracie Mambi', 'Jason Lin'] | [] | ['bubble'] | 22 |
10,518 | https://devpost.com/software/hubschool | Our login page
Our signup page
Our dashboard page -- the student is subscribed to two classes
Inspiration
Since we, the developers, are current students at Tufts University, we are all too familiar with the struggle of having online classes. It was diffcult to have motivation and maintain a strong sense of communication with our professors when our classes moved online during the COVID-19 pandemic. We began to think about how this could effect younger students and their parents, especially those that come from diverse (both racially and socioeconomically) backgrounds. As you can imagine, for families that may not have enough resources, parents may face numerous obstacles whe trying to work with their children on staying focused on school, when they are at home. It can also be difficult for parents to know everything that is happening both within the school and their children's respective classes; this communication is further complicated due to language barriers that may also arise between parents and teachers. Therefore, we decided to create a user-friendly tool to help both teachers, students, and parents. We hope you enjoy!
What it does
HubSchool is a resource that we created where teachers, students, and parents can create an account that will help them stay in the loop of all the various school activities. You can imagine it as a social media but for only school purposes. On the Parent/Student end, they can create an account and add pages they want to subscribe to. These pages can be a specific class or club or event; they can search these up by adding a new page to their dashboard and searching for the respective field. The resources can range from anything such as helpful tools, course materials, or general updates about the class. For teachers, they can similarly create an account and add/create pages in order to post helpful information and resources for their students or the students' parents. The entire dashboard can be translated using the powerful Google Translate engine in order to support parents who do not speak English. The teachers can create the resources in English, and then the information will be translated into whichever language the parent prefers on their dashboard. This features helps to make HubSchool accessible to all families, regardless of language background.
How we built it
To create this resource, we mainly utilized our HTML, CSS, and Javascript knowledge to develop an interactive webpage for our users. We integrated Flexbox into our HTML and CSS components in order to create a responsive website to accommodate different screen sizes. The resources for the classes are pulled from the AirTable database and rendered using Javascript functions in order to maximize modularity and flexibility as teachers update resources. We use localStorage to keep track of the current logged in user and to be able to pull the appropriate data from the AirTable when needed. We used a Google Translate API to easily change the language of the page.
We utilized AirTable to act as our database where we can store important information such as login authentification and class lists. This is mainly used for our demo purposes but as you can imagine, it can be easily transferable to another database with continued work.
Challenges we ran into
Some of the main challenges we ran into were making our webpage responsive so that our users could access it on their phones or tablets. All three of us have a solid understanding of HTML, CSS, and Javascript, but when we began to add in our various features we realized how difficult responsiveness can be. However, through much persistence, we were able to overcome this hurdle. Another struggle was finding a database that was easy enough to implement quickly given the time restriction, but still could be private enough that we could keep our users' information secure. After finding AirTable and creating functions to make API calls, we were able to figure out together how to connect AirTable with our UI. We also struggled a bit with time management since all three of us communicated virtually and were not in person to work together. We were able to schedule various blocks of time where we would work really hard for a few hours in-between family obligations.
Accomplishments that we're proud of
We are super proud of how many features we were able to build in a short amount of time. Some of these features include the "sign up page" which creates a new user in the database and the "add a page" which subscribes the user to another list of class resources. We were thrilled to have AirTable successfully connect to both of these aspects because it allowed us to save the user's information and open up their accounts with their specific data. It helped us get a better idea of how this could be implemented as a more thorough and real resource in the future.
What we learned
We learned a lot more about Flexbox and how to create a responsive website as well as improved our HTML, CSS, and Javascript abilities. We also learned how quickly an idea can be realized when you really focus. Although we weren't able to work during the entire 72 hours, we still created a fleshed-out project that we are proud of. We learned the importance of screen-sharing to help each other debug code and work together through merge conflicts.
What's next for HubSchool
The next steps for this project would be to implement a more secure database and restructure some of the UI aspects to make it flow more naturally. We would also like to implement more features such as creating different forms for the teachers so that they could add more pages for their classes or clubs. Another aspect we could potentially see us moving forward with is creating a mobile app for HubSchool so that our users can easily view any information on any device.
Built With
airtable
bootstrap
css
flexbox
github
google-translate
html
javascript
webdev
Try it out
alice-dempsey.github.io
github.com | HubSchool | An interactive space for teachers, parents, and students to effectively communicate despite not being in the classroom | ['Alice Dempsey', 'BrianGaillard Gaillard', 'Mohammed Emun'] | [] | ['airtable', 'bootstrap', 'css', 'flexbox', 'github', 'google-translate', 'html', 'javascript', 'webdev'] | 23 |
10,518 | https://devpost.com/software/politalks-tcxqm4 | Inspiration
Recently I went on a hike with a friend of mine that I hadn't seen in over a year and we ended up chatting about politics. After a while, we realized that we were both hesitant to say what we believed due to past experiences where others got mad at us for having different opinions and beliefs then them. After realizing this, we both opened up and had a great discussion--disagreement stopped being a problem and became an opportunity to try thinking from a new perspective instead!
What it does
Politalks lets you find people with different poetical ideologies so that you can have great discussions like the one I had with my friend while also learning how to have difficult discussions in a civilized manner. We hope that people will be able to take advantage of their differences to learn from each other instead of arguing. The goal of Politalks is
not
to convince others of your opinions, but to come out of the conversation feeling like you have a better understanding of the other person's point of view. We incentivize this behavior using a rating system. At the end of each conversation you'll rate each other for how respectful and civilized you were and this rating will be visible to others in the future before they agree to chat with you.
How we built it
We built Politalks using Firebase's Firestore as our backend and ReactJS for our frontend. We also used bootstrap (specifically react-bootstrap) for making our pages look pretty :).
Challenges we ran into
While we both had experience with React, neither of us had much experience using Firestore. This lead to challenges regarding how to structure our data properly (normalization vs denormalization in a noSQL database) as well as just the normal challenges that arise from using technology with which you're less familiar (needing to google every single thing you want to do even if its just a simple get or set from the database).
Accomplishments that we're proud of
We're really proud that we made a fully functional app over the course of a single weekend! While there's definitely still room for improvement, we successfully completed all the core functionality and had time to polish up the appearance of our site. It's awesome that using a service like Firebase and a weekends worth of time that we made something that can support real users!
What we learned
Apparently, when you discuss an idea verbally without being able to draw it out on a whiteboard, it's really easy to be saying the same things but have completely different images in your head. We ran into this problem a few times but by the end we got a lot better at describing our ideas in detail so that we would both be on the same page. On the technical side we both learned a lot about using Firestore (especially how to choose a reasonable data model, see challenges we ran into) and React.
What's next for Politalks
Feature features include:
Video and audio calling to allow for more in depth conversations
Natural language processing to gauge how positive/negative people's messages are. If someone is being too negative we'll let them know and if it doesn't improve it will lower their rating.
Politics are complicated and can't easily be summarized into a single dimension for each issue. In the future you should be able to place yourself on a larger selection of dimensions for each issue (think political compass chart).
More resources about having productive political conversations about polarizing topics.
Built With
bootstrap
firebase
react
Try it out
github.com | Politalks | Our country is more divided than ever. Politalks lets you practice discussing our beliefs in a safe environment and learn to hold difficult conversations about polarizing topics in a civilized manner. | ['Amit Harlev', 'Ingrid Tsang'] | [] | ['bootstrap', 'firebase', 'react'] | 24 |
10,518 | https://devpost.com/software/dyrsoph | Inspiration
Education is a huge issue in the world, and this solution helps with immersive education via a digital online chatbot !
What it does
My solution is an easy to use web platform, where students can gain information and access lessons, ask questions and answers via a virtual chatbot, answer quizzes and even send in homework.
Built With
dialogflow
twilio | DirSoph | Education for All ! Digital Lessons, QnA, Quizzes and more ! | [] | [] | ['dialogflow', 'twilio'] | 25 |
10,518 | https://devpost.com/software/dukaan_se_merchant | Nearby Shops Shown to the User
Customer can choose from products listed by the shop owners
Customer can schedule his pickup as per the slot availabilty as to avoid crowd at the shops.
Confirmation screen after the Payment. User has to show QR to shop keeper at pick up
DUKAAN SE
The Term "Dukaan Se" is the Hindi Transalation of English Word "From Shop".
Inspiration
Local business and shops are among one of those who were affected most by the hard times of
COVID19
. Due to the imposement of lockdown, a large amount of crowd were seen at the shops and some people were buying goods and products which was more than their needs and creating a shortage of the products among the people who actually needed it. As well as crowd was not following any
social distancing norms
.
Why This App?
In a country like India, where around 80% of the population avail the benefits of local products and services, the local shops and businesses are of utter importance. There are few peak hours in a day when there are crowds at the local shops and businesses including the offering of both products and services. In such a pandemic situation like COVID-19, this crowd not only makes it difficult for the shop owner to maintain the customer base by following the social distancing norms but also endangers the lives of the other people. Also, people waste a lot of time, by waiting on these crowded shops for their turn. Sometimes, people have to return empty-handed even after waiting so much, either because of non-availability of product or the closing time approaches. Even the conditions become worse at the time of festivals.
Advantages of Dukaan Se for Local Shops and Business
This app helps the local shopkeepers and business to schedule their customers and manage the crowd at peak times so that there will not be violation of social distancing norms. It also assists the shop owners by utilizing their free time at which there are less and sometimes no customers, by serving the pickups at that time and boost up their businesses.
Also, since the application also allows to search for all the nearby available product and the services locally, hence also promotes the local businesses.
Apart from this, it also helps the shop owners in stock management and providing the analytics for the same. So that, they will know about the status of the sale of each of its products.
Also, it become really handy for the shop owners to inform the customers in case of any temporarily close via notification.
Advantages of Dukaan Se for Customers
Dukaan Se is a one-step mobile application that allows the users to conveniently avail the benefits of local products and services. It assists the users by schedule their pickups of the products and the appointment of services as per their convenience and slot availability.
Now, no need to check out the products manually and waste your time to fill your cart and wait in the long billing lines. Just select out the items you want to purchase on the application, and the shop owner has your products ready at your convenient time slot.
No more hustle by waiting for your turn to serve at local hair salons, beauty parlours and spas. Just schedule your appointment and went out at your scheduled time and avail the services by avoiding the crowds.
No need to search for a product at multiple shops by roaming around. Just check out the availability of the product you want, at all of the nearby available shops and just schedule and pickup whenever you are free.
How we built the App
We have used flutter development for this solution as it is light weight and cross platform SDK for mobile development. Backend of the solution is handled with the firebase, which is a cloud based platform hence it is way faster than the traditional servers hence providing a seamless and smooth experience to the user.
Logistic Regression
is used to classify the available slots for the pick up as per crowd timing at the shop.
Project Created & Maintained By
Aditya Maheshwari
Shashank Gupta
Akash Gupta
Harshit Awasthi
Built With
dart
kotlin
objective-c
swift
Try it out
github.com
github.com | DUKAAN SE | The Way Shopping should be. | ['Shashank Gupta', 'Aditya Maheshwari', 'Akash Gupta', 'Harshit Awasthi'] | [] | ['dart', 'kotlin', 'objective-c', 'swift'] | 26 |
10,518 | https://devpost.com/software/receipt-trail | Add receipts here.
Confirm the receipt's properties before submission.
View, edit, or delete past receipts.
Pie chart visualizes the distribution between total price and tax.
A monthly summary shows spending over a year.
Inspiration
Lots of people have random paper receipts scattered around their houses or stacked in their wallets. We wanted to create a web app that will manage receipt information in one place for users to easily view later instead of having to track down a physical "paper trail" of receipts! We wanted to make it as easy as possible for people to track and view their expenses, to encourage financial responsibility.
What it does
Receipt Trail allows users to upload pictures of receipts. It then parses those receipts using the Google Vision AI API and pulls out the total price, the tax amount, and the date of transaction. Users can edit and confirm these values before submitting them to Firebase. The user can manage all their expenses and receipts in the Expenses tab. The user can analyze all the receipts they've added in various graphs (total v. tax, monthly expenses) created by Toast UI. Receipt Trail also supports user creation, user authentication and all receipt data through Firebase.
How we built it
Our frontend is React.js with the Semantic UI for basic styling and Toast UI to render graphs with our data.
The backend is an express.js web server that is connected to Firebase.
Challenges we ran into
The first issue we faced we setting up Firebase with React.js. We had previous experience with Vue.js and Firebase, so figuring out how to work it with React took a couple hours and lots of google searches. The second issue we ran into was figuring out how we wanted to set up the backend. Both of us have different backend experience, so we came together and decided to use both cloud functions and a express.js server to run our routes. The main challenge of this project was figuring out how to parse the response data from the Google Vision AI API. We had to write a function that would filter through all the returned text based on it's description and coordinates, then return the appropriate values for total, tax, and date.
Accomplishments that we're proud of
We are super proud that in such a short time we were able to put together a complete single-paged web application with React.js and learn how to connect that to Firebase (something we have never done before). We were able to combine our previous knowledge into a project that uses tech that each of us is proficient and create a finished product. We also were able to use the Google Vision API for the first time and successfully parse pictures of receipts! (It's amazing how powerful this AI is!)
What we learned
How to design a web application (deciding frontend framework, how to set up backend routes)
How to connect Firebase to Express and React.js
How to structure Firebase to fit our needs
How to upload photos to Firebase Storage (backend routes using busboy library and connecting to frontend)
How to parse data from the Google Vision AI API
What's next for Receipt Trail
Improve receipt parsing that can handle more edge cases and also find individual items, sales, vendor, etc.
More customized UI
Better onboarding with a landing page
Mobile version to allow users to easily take and upload pictures of their receipts
Create a Chrome Extension to allow users to parse and store digital receipts
Built With
css
express.js
firebase
google-vision
html
javascript
node.js
semantic-ui
toast-ui
Try it out
github.com | Receipt Trail | Receipt Trail is a user friendly web application that parses uploaded pictures of receipts and keeps track of your expenses! Users can view their total expenses in varying graphs | ['Kasey Chuang', 'Joseph Gu'] | [] | ['css', 'express.js', 'firebase', 'google-vision', 'html', 'javascript', 'node.js', 'semantic-ui', 'toast-ui'] | 27 |
10,518 | https://devpost.com/software/trip-buddy | Inspiration
Traveling is difficult during the COVID pandemic. Rather than forgetting to search or ignoring COVID data about a traveler’s destination, we want to provide a sure-fire way that they will acknowledge the risk of traveling to the location before they search for travel accommodations. This would potentially lower the amount of unnecessary travelers, which could lower the number of COVID infections as well as help the user save money by not traveling to COVID-hotspots.
What it does
When a potential traveler searches a destination on a travel website, this Chrome extension will alert them of information about COVID in the location they searched. Currently, it supports airbnb.com and provides information about the US states that is updated on a daily basis, such as daily increases in coronavirus cases and deaths.
How we built it
We used JavaScript to create the extension and incorporated “The COVID Tracking Project” API for the data.
Challenges we ran into
It was challenging to incorporate the extension into the site of our choice, Airbnb, because the UI would hide the search bar after a search and would not reload the site each time a new search was implemented. However, by watching the URL change with each search, we were able to notice when a search was done and grab the elements necessary to set up the next alert.
We also had some trouble because we got the API link wrong. This was unfortunate, but gave us many opportunities to learn more about debugging a chrome extension, both through console logging and error message analyzing.
Accomplishments that we're proud of
We were proud of creating a usable extension that is easily accessible for users to check that their travel destinations are handling the COVID outbreak well. Another accomplishment in this project is its ability to scan specific parts of the website when the search button is pressed so that it can provide the user with relevant information about their destination.
What we learned
From this hackathon, we learned that call-backs are often necessary to ensure that an async method completes when called before proceeding. The timing of a website content update was another part of this extension that was particularly interesting. For example, when the HTML of a page is modified, it takes the website a certain amount of time to reload. While this delay is not noticeable by humans, it can sometimes prevent the alert from displaying.
What's next for Trip Buddy
We would like to bring Trip Buddy to other travel websites as well as provide data on a global scale. We hope to provide more COVID information as customizable options to the traveler, and rather than using an alert, we would like to implement our own popup to appear to the traveler with a friendly UI. Additionally, we plan to implement an optional feature that will alert the user if their own location is a COVID-hotspot, remind them of safety precautions, and urge them not to travel.
Built With
javascript
the-covid-tracking-project
Try it out
github.com | Trip Buddy | Ever wish you could see your travel destination’s COVID data right when you’re searching? Now you can with Trip Buddy, a Chrome extension that alerts you of COVID cases when you search for lodging. | ['among5 Ong'] | [] | ['javascript', 'the-covid-tracking-project'] | 28 |
10,518 | https://devpost.com/software/thedoor | Inspiration
We were inspired by the link trees on twitter which people used in order to spread information about petitions, organizations to donate to as well as resources to learn from, during the recent Black Lives Matter movement. We felt as though the link trees were not the most accessible or easy to use and you could often get lost using them. There were also so many it was hard to keep track of what you have seen and what you haven't.
What it does
thedoor is a website that allows you to learn more about some of the most important issues that our society is facing and then take action with the new knowledge that you have acquired! Initially, you are given topics to choose from and then you have the option of current issues relating to that topic. Once you decide on an issue you can choose to learn more about it or do more ! If you choose to learn more about it you are given a short summary of the issue as well as further resources to learn even more. If you choose to do more you are given the opportunity to:
E-mal a local government representative
Find local grassroots organizations
Find events happening near them regarding the issue
Connect with others interested in the same issue at hand
How we built it
We used HTML and CSS in order to build it from scratch for all of our first websites !
Challenges we ran into
This project was challenging in that it made us work as a team to figure out the best layout and organization for the website. We had several ideas for things we wanted to include and we had to choose the most efficient and optimized way to design our website.
Accomplishments that we're proud of
As a team, we are very proud of ourselves with the outcome of the project. None of us have had any prior CSS and HTML experience, and we have produced a clean and easy to use website.
What we've learned
We’ve learnt a lot about coding using html and css and how to make a functioning website that is intuitive to use.
What's next for thedoor
Issue of the week; one from each category
Account registration; making it available for people to add new information
Issue of the week; one from each category
Account registration; making it available for people to add new information.
For e-mails, we want people to be able to link their e-mail. On the back-end side, we are looking to use natural language processing to create templates.
For near you, we want to be able to add a map function so that people will be to find events near them. [There will hopefully be a feature which will allow people to add the events]
Hopefully, a connect page will act as a forum where people will be able to input their ideas.
-We will need moderators who also moderate inputs (whether this is event inputs, inputs of issue ideas) and moderators for the forum.
A database would need to be out in use also to keep all the data.
Our next steps are definitely to develop further web pages!
Built With
css
html
Try it out
the-door.glitch.me | thedoor | thedoor is a website which allows users to learn more about current issues that are important to them and give them the tools to take action! | ['Tanya Sheth', 'Georgina Medd', 'Benedicty Mambi', 'Alana Depaz'] | [] | ['css', 'html'] | 29 |
10,518 | https://devpost.com/software/covid4kids | Learning modules
Home page
FAQs and info
Stay safe page
Learning page
Resources
Quiz page
Educational videos, audio and simulations
Our project is creating a kid-friendly learning site on covid 19. It is specifically designed for children ages 5-10 to understand the coronvirus and have a basic understanding of what’s going on. This will help them know how to stay safe as covid cases continue to increase in the US.
This is important because kids are often left out of the conversation when it comes to the pandemic. There isn’t much information catered to them,at a level they can understand.
This is extremely relevant right now with kids going back to school and some even having in person classes.
→ Having kids practice proper safety measures means it will be less likely for them to contract the virus and spread it to their family members, who may be older and more vulnerable
→ Understanding the pandemic would empower young students to make sure schools, local governments, and other policy-makers are acting in their best interests
→ How kids interpret and understand covid could influence attitudes and future protocols in global health
As valued members of society, it is important that younger chidren understand what’s going on and how to navigate the new state of the world.
Learned:
We learned HTML, css, Javascript, and how to use github pages and collaborate on github. We also used many multimedia features in HTML and css.
Challenges:
Challenge we faced were coordinating our website design, placing images and text on each webpage, and linking to each page correctly. We also worked on stating information in a simple, kid-friendly way and making our website engaging to kids.
Github:
https://github.com/anushka018/covid-for-kids
Built With
css
github
html5
javascript
Try it out
anushka018.github.io | Covid4Kids | A website to help children learn about Covid-19 and how to stay safe | ['Elaine Lee', 'Anushka Angamuthu', 'Sandra Dweh', 'myrien99 Myrie'] | [] | ['css', 'github', 'html5', 'javascript'] | 30 |
10,518 | https://devpost.com/software/porthole | Porthole
Read comfortably, analyze skeptically | An article viewer and annotator written for the HFTP Hackathon's "Political" track
Porthole will eventually be deployed on the web for use as an article parser for easy viewing, (and/or to evade adblocker detectors) as well as for annotating for bias in the form of subjectivity, opinion, and bullshit. It will then run calculations on the ratio of bias detected out of the sum total of article content, and display this data both with an assigned score and a visual. It will also include available data about the article's author, scraped from elsewhere on the web for background-checking. Currently Porthole must be run from the command-line, and it minimally annotates for the three mentioned categories.
You may wonder why I didn't use a cli app such as html2text to start from. Unfortunately it is hard to pick out consistent symbols to determine the bounds of the actual article content from that of the entire page, whereas html tags supply patterns that can be isolated programmatically. Considering how I only want to print the actual article content, and that I need to scan the content for patterns and phrases, it may be better curated in this format.
Requires insertion of a key from the Scrapestack API, as well as a desired URL to an article.
Only tested with articles from NPR and Reuters so far.
Built With
python
Try it out
github.com | Porthole | Read comfortably, analyze skeptically. | An article viewer written for the HFTP Hackathon. | [] | [] | ['python'] | 31 |
10,518 | https://devpost.com/software/prodar-vwp1c9 | An example of a map generated by the code and direct messaged back to a user.
Prodar: A Twitter bot for protestors
Direct Messages to this twitter bot as used as a "search term" against recent tweets.
The bot will return a map of the coordinates of the tweets matching the "search term".
This tool is designed to help protestors organize, by allowing for a decentralized relay of information.
During a protest, protestors are encouraged to tweet a protest hashtag with geolocation.
These protestors and protest organizers can then DM the bot to get all the geolocations of the protest hashtag in map format.
This can help everyone better organize safely.
SIMPLE USE CASE 1: Where are the medics?
Protesters will tweet messages like: #ProtestWonderlandMedic. (Making sure to tag a geo location).
Anyone can then DM ProtestWonderlandMedic" to the bot. (Currently DangerWillRobin, but soon to be Prodar2020).
The Bot will return a map via DM where medics were last tagged.
FANCIER USE CASE 2: Where are we moving towards?
Protesters will get GIFs instead of maps, showing where their people of interest are moving towards (like a weather radar). (This is still in development, but will be available shortly)
To run this code
$ git clone
https://github.com/wbarobinson/prodar.git
$ cd prodar
$ npm install
$ node index.js
Built With
javascript
plotly
twitter
Try it out
github.com | Prodar | All purpose radar for protesters to better and more safely organize mid-rally. | ['William Robinson', 'tony-goss Goss'] | [] | ['javascript', 'plotly', 'twitter'] | 32 |
10,518 | https://devpost.com/software/protest-finder | Search Results for Protests
List of Saved Protests
Inputting Home Addresses for Nearby Protests
Protest Reminder Notification
New Protests in the Area Notification
Inspiration
The nationwide protests and demonstrations following George Floyd's death were the main inspiration behind our project. The Black Lives Matter movement is one of the biggest social movements we've seen since the Civil Rights Movement, and its impact continues to rouse the desire to fight against injustice within people. Our goal was to create a program that would make these protests easily accessible to people by searching for protests by location, saving the time necessary to search through unrelated pages to find each protest individually. Furthermore, by giving individuals an easy way to access and search for protests, we hope to increase political involvement.
What it does
Our program takes an input of location into a search bar. When used, the program outputs a list of protests in the area, showing the name of the protest, its date, and its details.
The user can save each protest they like into a "saved" list, which can be accessed to display all saved protests. The user will also be notified of each individual protest they have saved on the day of the protest, and they are notified whenever a new individual protest is posted in their area.
How we built it
We built our program using Visual Studio, using the Live Share feature to have all four of us working on the project at the same time. For the language, we chose Python, for the ease of its web scraping abilities.
To build the web scraper, we used the Beautiful Soup library to scrape the data from a website that displays protests, inputting them into the program and displaying them with each search.
We debugged the program using a separate errors file to store and test errors.
Challenges we ran into
As most of us were beginners to Python, we had some trouble learning the syntax and methods necessary to reach our goal. We ran into many issues that involved errors in both the front-end and the back-end of the code.
One of the key challenges we had while developing the app was the notification system. We wanted to notify the user every time there's a new protest in their area, but we couldn't find any indication as to which protest postings were new and which were old.
Accomplishments that we're proud of
We're especially proud of how each of our members, despite having minimal knowledge of Python, were able to learn enough to build, test, and execute a functioning and useful program.
What we learned
We learned how to use the Beautiful Soup library to scrape data from websites while also learning to store, open, and modify the scraped data.
We also learned some of the basics of Python program development: GUI building, back-end, and syntax.
Another module that we learned which was critical to our success was the pickle module, which allowed us to save various important information onto the user's computer to be used in the future.
What's next for Protest Finder
In the future, we hope that Protest Finder can become more optimized to filter out each search depending on the cause. For instance, a BLM protest and a school funding protest would be two separate issues that would display only when called with the correct tags.
Built With
beautiful-soup
datetime
pickle
pyqt5
python
visual-studio
win10toast
Try it out
github.com | Protest Finder | Location-based protest finder that allows you to find, save, and load protests in your desired area | ['Alessandro Snyder', 'Katie Park', 'Justin Li', 'Lam Nguyen'] | [] | ['beautiful-soup', 'datetime', 'pickle', 'pyqt5', 'python', 'visual-studio', 'win10toast'] | 33 |
10,518 | https://devpost.com/software/test-iexqh4 | Home page header
MVP
This is a website that organizes petitions and also other ways to make an impact and change even while being inside during the pandemic and/or not having the ability to protest.
Features
a home webpage with a "contact us" section
a webpage with a form that takes in community suggestions for other ways people can make positive impacts
2 webpages filled with resources and with tables of contents at the top that scrolls to the corresponding heading when clicked
Images used from
Unsplash
Pixabay
FreePik
Made during Hack for the People
Built With
css
glitch
html
Try it out
hack-for-the-people2020.glitch.me | Coding for the Future | A website that organizes ways people can make a positive impact and takes in suggestions from the community to share | ['Lisa Ha', 'Danna Polanco'] | [] | ['css', 'glitch', 'html'] | 34 |
10,518 | https://devpost.com/software/the-open-hospital-project | What is it
It is a hospital/patient management system that allows users to be logged in as doctors, nurses or patients. Doctors and nurses can view a dashboard where they can add patients and view a list of patients linked to them. Patients can view a dashboard with the information their doctors/nurses change, a profile page (including their medical history) and a symptom tracking page which includes an API which returns possible diagnoses based on the patient's symptoms.
One very unique aspect of our system is the manner in which doctors/nurses link to patients. A doctor must produce a token on their dashboard, which their patient must then enter on their dashboard. This links the two together. A doctor/nurse can also connect to patients who are already assigned to a token by entering the token on their dashboard.
Objectives/ Benefits
The main objective is to reduce medical errors. It does this in four ways:
1) It streamlines the processing of information because patients can also edit their information, reducing healthcare/admin workers' workload.
2) Medical records, symptoms, current diagnoses and treatments, appointments, etc. can be shared much easier by just entering the patient token. This is significant because a large portion of medical errors come from a lack of knowledge about the patient.
3) A patient (with just one account) can connect to multiple different doctors, which ensures the sharing of vital information as well as making sure such information stays the same across the board.
4) The patient has a symptom tracking page, which directly feeds to what the doctor sees, allowing for better tailored care.
How we built it
We used Flask for the the back-end and interacting with the databases and basic html and css for the front end, as well as an API for possible diagnoses
Challenges we ran into
The vast majority of small challenges were for the styling of our web app, from removing column lines, to wacky tables in the header, to popup forms that we could scroll through.
Accomplishments
This was not only our first hackathon, but the first time applying flask to a larger application.
Image Reference
https://commons.wikimedia.org/wiki/File:User_font_awesome.svg
https://www.google.com/url?sa=i&url=https%3A%2F%2Fwww.freepik.com%2Ffree-vector%2Fhospital-building-set_3817816.htm&psig=AOvVaw2FTtB6RQ5Pe0geyzLXmkYy&ust=1598133948182000&source=images&cd=vfe&ved=0CAIQjRxqFwoTCLDppoynresCFQAAAAAdAAAAABAK
Built With
apimedic
css
flask
html
python
Try it out
github.com | The Open Hospital Project | A patient management system for streamlining data-sharing and patient knowledge/awareness. | ['Rayan2001-5 Ramadan', 'Zining Yu', 'Akira Yoshiyama'] | [] | ['apimedic', 'css', 'flask', 'html', 'python'] | 35 |
10,518 | https://devpost.com/software/new-york-police-action-board | Types of allegations
Top Allegations
Predicting when a complaint might get resolved
Consolidated information for a single officer
Allegations on different NYPD commands
Search
Allegations over the years
Case outcomes
About
Inspiration
Law enforcement institutions are entrusted with a diverse set of tasks requiring a high degree of integrity within police agencies and their oversight. Where this does not function well, law enforcement officers may become vulnerable to oversight and misconduct. In many non-conflict/conflict situations, it becomes necessary to act upon the complaints by the civilians, often in the form of retraining for police officers with a particular focus on human rights principles. In addition, a longer-term effort is required to establish a framework for police oversight and accountability in order to strengthen integrity within systems of policing.
Hence, we wanted to create a system to create transparency between the Authorities and the civilians to ensure and improve trust within the system. This website provides various insights into the performance of the various law enforcement authorities and displays the patterns/actions taken by the authorities and also helps civilians using Machine Learning methodologies to get estimates about their complaint/request status. We are aware of the effects of bias and other natural parameters when using Machine Learning methods in Sociocultural space, and instead, we commit ourselves to be honest about flaws, transparent in our publishing process, and welcoming of critiques.
What it Does
NYPAB (New York Police Action Board) provides users a simple and efficient platform for accessing police misconduct allegations against NYPD officers. Along with greater accessibility to this data, it also provides insights into the police accountability system by visualizing various interactive graphs which makes it easier for the general public to better understand the data leading to a better understanding of the system in general.
NYPAB also provides a search tool that helps users find police officers that have had misconduct allegations in the past. The user can see the raw data and also a separate dashboard for individual police officers with information about their previous allegations and outcomes of those cases.
NYPAB also has an experimental tool, where based on the user inputs, a user can get an estimate of the total time the department might take to act upon the user’s complaint based on the historical data.
How We Built It
We, the team of size 2, started brainstorming on ideas/solutions which can help solve problems within the socio-cultural domain, and we found the lack of transparency and accessibility of police accountability data. We found this dataset that listed information about civil misconduct allegations against NYPD police officers. It was released by New York Civil Liberties Union, less than 24 hours before the hackathon and it showcased a huge socio-cultural problem of police accountability.
We used various tools in the Visualisations and Data Science domain to create this website. We used the Google Cloud VMs, App Engine, and storage services to store the dataset and host the website allowing others to access it. We used Flask for creating a scalable and efficient BackEnd System, and visualization libraries like Plotly to create useful and intuitive graphs. We also used GitHub for efficient project management and an effective communication system to achieve this task.
Challenges We Ran Into
One of the main challenges was to extract meaningful patterns from the dataset using various data transformation operations. We got to learn various new tools and techniques to handle such large data efficiently during this process. Also, integrating these visualizations and the Machine Learning model with various Software Development tools such as HTML, etc was also challenging and a fun experiment to learn.
Future Scope of NYPAB
We have learned that there is many more solutions space left to explore to tackle this issue with available data, and the insights and there is much more space remaining to help users access such data with more transparency and authenticity. We also know that using Machine Learning solutions in the social/cultural domain is still the field that needs a lot of research to achieve the level of accuracy and fairness. The societal issues may take many forms, but they all entail the design of models from a human-centered perspective, incorporating human-relevant requirements and constraints, and the solutions will require attributes such as fairness, privacy, and anonymity, explainability, and interpretability, but also some broader societal issues, such as ethics and legislation.
We hope to incorporate a feature that allows users to access to complaint forms based on requests and also perform topic modeling of these documents to identify key issues faced by civilians in their complaints, respecting data privacy terms and anonymity.
Built With
bootstrap
flask
google-cloud
html5
jquery
python
Try it out
nypd-misconducts.wl.r.appspot.com
github.com | New York Police Action Board | Dashboard and search tool for police misconduct allegations against NYPD officers. Also predict when your misconduct allegation might get resolved. | ['Smit Kiri', 'Vaibhav Saraf'] | [] | ['bootstrap', 'flask', 'google-cloud', 'html5', 'jquery', 'python'] | 36 |
10,518 | https://devpost.com/software/gohealth-1c5quy | Inspiration
A potential challenge during the pandemic outbreak like COVID19 is overwhelming hospitals. Due to the increase in the number of COVID patients, doctors are giving less attention to a non-COVID patient. Right now, hospitals don't have the capacity for the large number of incoming patients. There is a need for a technology platform which is capable of remote-monitoring and allowing for the engagement of patients in their homes. The capabilities also facilitate communication between quarantined people and the healthcare service and maintain visibility of those recently discharged. This problem is what inspired us to make this user-friendly interface.
What it does
The GoHealth platform offers an ideal way to monitor patients while they are in quarantine. The device hub measures 8 different vitals such as heart rate, temperature, blood pressure, pulse rate, A1C, skin conductance, glucose level, and nasal airflow. The information of the vital signs will be updated via web to the doctors.
How we built it
We used the Google Cloud Platform along with Firebase for this project.
Firebase
User Authentication
Realtime Database
Store Vital Data and User Information
Store Information if the user is a Doctor
Cloud Functions
Other GCP
Google Maps API
Google Vision
Bootstrap HTML/CSS/JS
Bootstrap Framework
Use of JQuery
Use of SmartForm for Contact
Frontend Framework
GitHub
File Management
Hosting
Node Js
Firebase Modules
Alan - A smart assistant that we have built for users to ask simple medical questions.
You can ask it I have a Cough
and it will respond
Challenges we ran into
There were many challenges we ran into, but that's what programming's all about. One of the difficult challenges we ran into was making sure the UI worked. Another challenge was figuring out how to to extract information from the JSON file to the website.
Accomplishments that we're proud of
We are proud of so many things. We made use of this project to the best of our abilities in this 24 Hours of time. We got to use the Google Cloud Platform, which is a first for all of us, we had never used GCP before and now we will continue to use this platform. Additionally, we combined all of our skills to create a website that use multiple frameworks and we are proud of this website. We love the UI/UX and we love the Backend, it was our first time as well using these frameworks. Finally, we are proud of the amount of work we pulled of in 24 hours. We would have never thought we could accmplish this much in such a small amount of time.
What we learned
Creating realtime databases
Firebase
User Authentication
What's next for GoHealth
Implement Google Assistant instead of Alan (Wider range of possibilites)
Create a Watch Application (Apple watch and Galaxy Watch) to have realtime data about Vitals
Implement more Google Cloud Features including Tensorflow AI for medical classification and image classificatin to find various conditions
Implement a TeleHealth API platform for virtual doctor visits
Implement Echo AR for human body modeling
Implement a COVID-19 screener questionnaire for the workplace and schools
Built With
alan
bootstrap
css
firebase
github
google-cloud
google-maps
html
javascript
Try it out
github.com
rhea883464.invisionapp.com
trackgohealth.online | GoHealth | Empower the medical services | ['Srikar Kusumanchi', 'Mohinish Teja', 'RHEA S', 'Ramya Challa'] | ['Winner Best Healthcare solution'] | ['alan', 'bootstrap', 'css', 'firebase', 'github', 'google-cloud', 'google-maps', 'html', 'javascript'] | 37 |
10,518 | https://devpost.com/software/seedlink | Inspiration
SeedLink was inspired by the challenge that small community gardeners often face when working on their projects. While there is a plethora of information available online, it can be difficult for home gardeners to build a community in person. In addition, gardening can be challenging to get into as a beginner. SeedLink seeks to solve these problems.
In addition, by encouraging home gardening, SeedLink will help combat the environmental challenges caused by mass commerical farming. The food in grocery stores is often shipped long distances, leading to pollution. In addition, many commercial farms use unsustainable practices that degrade soil quality, cause deforestation, exploit workers, and so on. By encouraging the use of small home gardens, SeedLink will reduce the reliance on this chain of production.
What it does
SeedLink is a platform for community gardeners to post what seeds, tools, or information they have, and what seeds, tools, or information they are looking for. Users can search other users' listings and contact them through email. Users can set up a rate of exchange on their own, but SeedLink does not encourage this. If users wish to trade seeds rather than buying or selling, they are welcome to do so.
In addition, SeedLink features a "Get Recommendations" tab, which supplies users with a list of plants that they could start growing right now, based on the time of year and their zipcode. This will help beginners figure out how to start.
How we built it
SeedLink is built on top of the Flask framework. All of the front end was written without a framework, in JavaScript, HTML, and CSS. The backend was written in Python using Flask, and in addition, we used Beautifulsoup to webscrape a website for publicly available gardening data. Sisilia wrote most of the back end and the recommendations feature, while Kariessa and Joshua wrote most of the front end.
Challenges we ran into
As we were so unfamiliar with a lot of the technology we were using, we spent a lot of time reading documentation and going through tutorials. None of us were overly familiar with ways to connect frontend and backend, so we took the time to learn how to do this. We also had challenges coming up with an idea that would solve a need but was still doable in the allotted time, which required lots of time spent brainstorming ideas.
Accomplishments that we're proud of
We created a dynamically generated catalog page (with popups!), which is reused as the search page. We were also able to successfully scrape a website to present useful data to the users.
What we learned
All of us learned new frameworks, ideas, and languages in order to create SeedLink. For Joshua, this was his first time working on a project with other people. He learned how to use GitHub, how to use the command line, and how to create web pages. Kariessa had never used Flask before; she learned how to create templated HTML files and connect the back end and front end of an application. Sisilia learned how to initialize a Flask application, handle user authentication, and create and update a database.
What's next for SeedLink
When programming SeedLink, the user interface was not at the top of our priorities. We would like to improve the website's design and make it more intuitive to use. In addition, we would like to add a feature where the user can click on recommendations in order to search the catalog for nearby users offering those seeds, without having to run the search themselves.
Once we start testing SeedLink among a wider audience, we would also update the FAQ page with their questions.
Built With
beautiful-soup
css
flask
html
javascript
python
sqlalchemy
Try it out
github.com | SeedLink | Connecting communities through gardening | ['Jisu Kim', 'Sisilia Sinaga', 'Kariessa Schultz'] | [] | ['beautiful-soup', 'css', 'flask', 'html', 'javascript', 'python', 'sqlalchemy'] | 38 |
10,518 | https://devpost.com/software/that-s-sus-2vtq86 | That's Sus
→That's Sus is a HTML, CSS, and Javascript powered website that promotes environmental sustainability by providing a designated platform for users to discover and access a collection of sustainable fashion companies that pertain to their own needs, alongside finding resources to further educate themselves on the topic of sustainability and the environment.
Inspirations
Companies falsely advertising/ greenwashing
Lack of resources for environmental sustainability
Lack of affordable ethical companies
Motivation to give back to the environment
Space for small businesses to advertise as it is very limited
Lessons
Learned more about backend and frontend work and how they connect
How to format correctly
How to add in a multitude of resources
How to efficiently work together as a team and execute a successful project
How to import holograms to be used in our website
What Languages and Platforms We Used
Coded in repl.it
Used HTML, CSS, and Javascript
Used echoAR for all of our holograms
What It Does
A database of environmental friendly resources
Form to join our site and give companies ratings
Provide a public forum where companies can advertise
Challenges
Formatting everything properly
Using arrays/objects to make a search and filter bar
Importing holograms
Making all of the flip the cards in the learn page
Opening all of the links through the buttons
Adding forms in our join us page
Future Iterations
Making a form directly on the website
Adding more holograms
Making it even more user friendly
Implementing likes/comments in the database
Have a login feature so users can save the brands they like/ save their comments
Built With
css
html
iframe
javascript
Try it out
repl.it | That’s Sus | We strive to promote environmental sustainability and mitigate greenwashing by providing a collective database for ethical fashion companies and further educational resources on sustainability. | ['Trisha Gannu', 'm w', 'Rebekah Woo'] | [] | ['css', 'html', 'iframe', 'javascript'] | 39 |
10,518 | https://devpost.com/software/shopvoyant | Know Before you Shop
Inspiration
During the early days of the CoVID-19 pandemic, many essential goods were in short supply at local retailers, and it was exceedingly difficult and treacherous to go out and try to find what you were looking for. We thought of ShopVoyant as a way for local retailers to document the availability and pricing of their merchandise so that shoppers can know where to go to buy their essential goods. This means that shoppers would no longer need to aimlessly roam around different shops, which could also help contain the virus spread.
What it does
ShopVoyant is an iOS app that allows the user to search for product listings, pricing, and availability within the user's neighborhood stores. It also allows neighborhood stores to create and update product listings for users to see.
How we built it
We built ShopVoyant with an iOS app frontend using SWIFT. The backend APIs were done in node.js with a MySQL database hosted using Firebase Cloud Functions.
Accomplishments that we're proud of
As a team with 2 new hackathon participants, we are very proud that we were able to work together as a team, share knowledge, and get the project finished before the deadline.
What we learned
We learned how to interact with backend APIs via the frontend iOS app.
What's next for ShopVoyant
For the next steps, we wanted to add a crowdsourced inventory/price verification feature, which would be an additional verification layer for the product listings. This would help prevent retailers from abusing the system and would encourage them to maintain the realtime accuracy of the listings.
Built With
firebase
mysql
node.js
swift
Try it out
github.com | ShopVoyant | Know Before You Shop | ['James Chang', 'Marco Fung'] | [] | ['firebase', 'mysql', 'node.js', 'swift'] | 40 |
10,518 | https://devpost.com/software/retail_policy_during_covid | We noticed that due to COVID, many industries not affected. Some got recovered, some got bankrupt whereas some are still recovering.
Therefore, we tried to find out first which industries got affected the worst. Lastly, we devised a policy that the government should follow so that these industries can survive and their employees can sustain life.
The code folder contains the code to download the data and clean it. The data folder contains all the stock price history of certain industries and plots of the same.
Finally, we have the report which is added in the Github repositories where we discussed the project outcome and discussed our findings.
Team members:
Prashant Kumar -
prashantkr30@gmail.com
Carmen Chan -
cchan7@wellesley.edu
Built With
python
r
Try it out
github.com | Retail_Policy_during_Covid | Retail Policy in the COVID Era. | ['Prashant Kumar', 'Carmen Chan'] | [] | ['python', 'r'] | 41 |
10,518 | https://devpost.com/software/implicit-bias-in-algorithms-losibu | Home page
Algorithms Page
Companies & BLM page
Contact page
Inspiration
We were inspired by the momentum of Black Lives Matter movement. We want to hold many companies accountable for their generic solidarity statement in which feel they commit to make real change in their teams.
What it does
Our website informs people about implicit bias in algorithms and raises awareness about the issue. We want to hold companies accountable so we created a database using Firebase to keep track of their statements.
How We built it
We used many resources and tools, include Glitch, HTML, CSS, Bootstrap, Firebase, Netlify and Github.
Challenges We ran into
We tried to implement a search bar using JavaScript but unfortunately it didn't work. It also took us a lot of time to figure out the user interface of the website.
Accomplishments that we're proud of
We are really proud of our design and user interface of the website. Also, we are proud that we started a Firebase to keep track of companies' statements.
What We learned
We learned a lot about the issue our website talks about, Implicit Bias in Algorithms. In addition, we learned how to create an entire app in such a short time.
What's next for Implicit Bias in Algorithms
We want to build programs that can detect implicit bias and keep educating ourselves about the issue. In addition, we want to implement a search bar for our website.
Built With
bootstrap
css
firebase
github
glitch
html
netlify
Try it out
implicit-bias-in-algorithms.netlify.app | Implicit Bias in Algorithms | An informational website about implicit bias in algorithms that educates people about an important issue and holds companies accountable. | ['Eveline Xie', 'Samira Chowdhury'] | [] | ['bootstrap', 'css', 'firebase', 'github', 'glitch', 'html', 'netlify'] | 42 |
10,518 | https://devpost.com/software/sportable | Sportable
Team Name: Hack O' Holics
Contact The Developers
Shreeniket.B -
shreeniketbendre@outlook.com
Devin.H -
qaqaqaaa111@gmail.com
Johnny.N -
johnnysuper17@gmail.com
Agnik.B -
agnik.banerjee@outlook.com
About Us
Shreeniket, Agnik, Devin, and Johnny are all rising sophomores living in the United States. Although we have different interests and experience in computer science, we all wanted to create a project that truly helps our communities.
Inspiration
Fitness exercises are very beneficial to personal health and physical well being; however, they can also be ineffective and potentially dangerous if performed incorrectly by the athlete. Exercise mistakes are made when the user does not use the proper form or pose. With gyms closed due to the pandemic, more people have started doing home workouts and physical education classes for school have gone virtual, meaning that coaches have been unable to help their students correct their form. Making an app that can give instant feedback to users when they do an exercise and finding a way to teach proper form more interactively will solve these problems, and change the scene for athletic coaching entirely.
What It Does
Our app, Sportable, allows for students and normal users to submit short clips of themselves, which, using computer vision, detects if the form is incorrect or not, and what they have to change. Look at the
README.md
in the
video-classifier
section of our repo to learn how this works. Our app also has features allowing users to learn how to to do a variety of exercises using AR (augmented reality). Sportable has special functionality for schools, allowing P.E. teachers to organize classrooms and assign workout assignments, which can be submitted by students through the app. A better explanation of what Sportable does can be found in the demo. We also made it so that the echo AR uses natural language processing to display a 3D model.
How We Built It
In order to build a form classifier, we scraped workout videos from YouTube in order to train to create a dataset, as we couldn't find a public dataset that contained videos of correct and incorrect form. We then trained a neural network, based on an Inflated 3D ConvNet architecture, loosely inspired from
this research paper
. Here is a visualization of what the neural network looks like:
Even though the model had a state-of-the-art architecture, because the dataset was only a few hundred videos long, results were inconclusive and we didn't incorporate the model in our final demo. Again, Look at the
README.md
of the
video-classifier
section of our repo to further learn about the model, and why it didn't work the way we wanted. Because of this, we didn't show this feature in our demo.
In order to send videos and information from the app we implemented a server using with Node.js MongoDB. There are major routes designed to serve both IOS clientside and Web client side. Both clients submit to the same route, but web client side will also use GET request to retrieve html files. For authentication, we store JWT in the user's cookie, and conveniently IOS's alamofire library also allows for cookie storage.
For building the VR aspects of our app, we used echoAR, a great tool that allows us to easily create and deploy AR applications. We created the UI/app using XCode and Swift, and a login website using HTML and CSS.
Challenges We Ran Into
Creating our own custom dataset of common exercises with correct and incorrect form and scraping the web for those videos was a time-consuming and difficult process. Even though we got hundreds of videos eventually, we still need more data to build a more accurate classifier. Sending videos from the iOS app to the AWS server was also challenging, due to poor documentation.
Accomplishments That We're Proud Of
We're proud of finishing a complex project in such a short amount of time and hopefully making an impact on the fitness/athletic training community.
What We Learned
We learned how to make requests between iOS client to an AWS server, as well as video classification with neural networks
What's Next For Sportable
Hopefully larger exercise form datasets will be created, so we can retrain our model and make it more efficient, as well as detecting a wider variety of mistakes in common exercises.
Built With
css3
html5
javascript
python
ruby
swift
Try it out
github.com | Sportable | Using AI and VR to Create a Physical Fitness Trainer | ['Shreeniket Bendre', 'Johnny Ni', 'Devin Han', 'Agnik Banerjee'] | ['1st Place', 'Best Use of EchoAR', 'Top 15 Projects', '3rd Place', 'Wolfram Award for Top 30 Hacks'] | ['css3', 'html5', 'javascript', 'python', 'ruby', 'swift'] | 43 |
10,518 | https://devpost.com/software/needzo-qrepxt | Landing
Fund Raising
Request Delivery Form
My Delivery
Request Delivery card
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.
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.
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
here-geocoder
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. | ['Atishay Srivastava', 'Ankesh Bharti'] | [] | ['atlas', 'auth0', 'express.js', 'here-geocoder', 'node.js', 'react', 'reactstrap'] | 44 |
10,518 | https://devpost.com/software/findbiz | Our Logo!
The About Us Page
The Dashboard Page
The Browse and Add Businesses Page
Inspiration
With the COVID-19 pandemic impacting numerous family businesses, we wanted to create a product that could support them in this time. We believed that we, as a community, should do all we can to help everyone flourish even in difficult trials. That’s how the idea of FindBiz was created. We realized that a platform where everyone could browse small local businesses could be of great help to everyone, especially the businesses, which could receive more patrons.
What It Does
FindBiz is a website dedicated to helping local and small businesses that are struggling due to the COVID-19 pandemic. We allow browsing of various businesses, allow users to add their own business, and allow users to create an account to see their contribution stats.
How We Built It
We used HTML, CSS, Bootstrap templates, and JavaScript to create our website. We started coding using Repl.it on 8/22 at 2:45 pm.
Challenges We Ran Into
It was difficult to take input from the forms and change the user display, as the JavaScript functions to do so were highly complex. However, after hours of perseverance, our hard work paid off. We also struggled with registering new businesses to the browsing businesses list, but were able to accomplish this through determination.
Accomplishments That We're Proud Of
We’re proud of the sleek UI of our website, as well as the easy-to-use forms that update information on our website.
What We Learned
We were able to hone our skills in HTML, CSS, and JavaScript throughout these hours of coding. We were also able to learn how to efficiently manage our time and communicate through an online means.
What's Next for FindBiz
While we accomplished many goals during this process, the future of FindBiz holds so much more! We want to add a more complex account system that allows users to friend other users and allows businesses to post and advertise about their products. We would also like to add live graphs and data tables that provide data on all of our website’s users, for example how many users we have a month.
Team Name: The Conditionals
Please contact
aishu.akku0406@gmail.com
if you have any feedback/questions.
Built With
bootstrap
css3
html5
javascript
Try it out
drive.google.com | FindBiz | FindBiz provides support for small businesses impacted by COVID-19. Users can find a small business to support or gain support for their own business. | ['Aishwarya Chakravarthy', 'Anvi P', 'Joanna Cheng', 'Anjali P'] | ['Top 15 Projects'] | ['bootstrap', 'css3', 'html5', 'javascript'] | 45 |
10,518 | https://devpost.com/software/immersive-education-for-good | Inspiration
What links police brutality, incarceration and re-offenders across the world ? Education, or lack thereof. Education has the opportunity to reduce police brutality. Studies show officers graduated from college are almost 40% less likely to use force, 41% of the incarcerated in the US do not hold a high school diploma and individuals who participate in any type of educational program while in prison are 43 percent less likely to return to prison.
Kyriosoph is the all-in-one immersive education tool, which allows these individuals to access an immersive experience to help reduce police brutality, incarceration and re-offenders, offering education and guidance. The solution offers an AI-powered chatbot which can communicate with them through both text and speech, allowing for a one on one Q and A.
Evidence shows that test scores among students using Immersive Technology improved by as much as 22%, and those who are unable to experience these opportunities in real-life can now access information easily. This platform aims to revolutionise these demographics to help increase police competency, whilst reducing offenders.
What it does
Kyriosoph the all-in-one immersive education tool, which allows these individuals to access an immersive experience to help reduce police brutality, incarceration and re-offenders, offering education and guidance. The solution offers an AI-powered chatbot which can communicate with them through both text and speech, allowing for a one on one Q and A.
How I built it
This was created using Amazon Sumerian and Amazon Lex ! Chatbots were created using Amazon Lex, with around 2-3 questions for each intent, to ensure the chatbot could understand them with a high success rate. I then added responses for each of the instances, providing answers to the different questions. Currently, there are a few available, but this can be added later on. The UI was created using HTML and CSS, using the in-built state machine for flow.
Challenges I ran into
3D Education Platform This was the first time I used html and css in Sumerian using the state machine very frequently to manage button interactions, making the design nearly impossible to develop ! Luckily, the more I mapped out all of the states, I could easily track and understand all of the states making it easy to develop. The next issue was research ! This part of the design started being designed yesterday, from scratch and this was extremely hard to research (since I am not based in the US) with some of the laws. This forced me to condense the design from 3 demo lessons to only 1 ! Fortunately, the demo is functional and easily scalable.
Accomplishments that I'm proud of
AWS VR/AR Project: This was one of my first AWS Sumerian project, and I am still quite new to AWS. Overall, I learned a range of new skills within this hackathon period ! Normally, my speciality is hardware (e.g. arduino projects) but I wanted to move out of my comfort zone, using new skills !
Situational Understanding I have learnt an amazing amount about the struggles people face across the world on a daily basis, ranging from access to technology to education !
What I learned
Educational Understanding: Within this hackathon,I learnt about educational immersion and the effects of this form of learning as opposed to reading textbooks and simple images etc. When I tested it out it was clear the impact the immersion made on usability and retention !
Situational Understanding I have learnt an amazing amount about the struggles people face across the world on a daily basis, ranging from access to technology to education !
Time Management Managing time for the overall hackathon whilst working on other projects ! This was a really good way to learn the skills which will be used in a workplace !
What's next for Immersive Education for Good
Increased Lessons for the platform to cover more options for the training programs, including ease of use (e.g. a site) where teachers could easily add info for lessons etc.
Refined design of the overall site to help integrate more aspects in the same site, whilst also collecting user data in databases (e.g. DynamoDb) for those who need it to access later on !
Implementation of AWS Lambda to help track and store databases ! Also an alternative offline version for those with even less access for the immersive VR/AR/3D Experience
Try it out
us-east-1.sumerian.aws | Kyriosoph: Immersive Education for Good | Immersive Education for Good | ['https://youtu.be/CCFj9c4TWWg'] | [] | [] | 46 |
10,518 | https://devpost.com/software/codevision-zl7xe1 | Clicking picture
Processing
Getting data to the editor
compile and run the code
hosted http://35.226.38.50/ for api end points and demo website
Flow of project
Inspiration
Our team of three Abhishek, Mudit, and I are all undergraduate or recent graduate Computer science students. And as CS students, we've experienced countless hours of both writing out code for assignments, practice, and tests. In the era of COVID-19, it's incredibly difficult to share handwritten code, or replicate snippets of code from a textbook and message it to friends. This difficulty is what inspired our project.
About CodeVision
Our application CodeVision allows a user to click on a photo of a code that they want to test run and the text in that image is extracted using the Google Vision API. That text is then returned back to the mobile application where we are running that code with the help of Hackerearth API. The purpose of CodeVision is that if you see a code in a book or written by someone and you are curious to know what output will this code produce, you can quickly snap a picture using the app and run it and see what output it's producing. With this functionality you can run a handwritten code in just a matter of seconds instead of rewriting code in a text editor.
How we built it
The application was built in two parts:
Frontend
The frontend of the application has been built using React Native. The reason for using React Native was to enable us to develop a hybrid application that can work on multiple platforms. The application is capable of taking the snap of the code we wish to run and then upload in to the backend deployed on Google Cloud for interpretation of text using Google Vision API. Once done the editable text is returned back to the application for editing in the code editor and then the code can be run using the hackerearth API.
Backend
The backend of the application has been developed using express and node.js. The backend works as a middleware between the react native application and the google vision and hackerearth API, thus creating a seamless connectivity between the two for proper functionality of the whole application. The backend has been deployed on Google Cloud and receives images from the frontend and connects to google vision API to convert image to text. Once done it returns editable text to frontend. On submitting and running the code the same backend creates a smooth connectivity between the frontend and hackerearth API helping in compiling and running the code and forwarding the response received from the hackearth API to the application.
What We Learned
Through creating CodeVision, we deepened our knowledge on React Native, Google Cloud APIs, and creating demos. It was a great experience working as a team and allocating various tasks to accomplish our goals, whether it be to set up the API hosting or flesh out the UI for the application. Additionally, our team included members from both India and the U.S., and it was a learning experience navigating time zones to work together. However, we had an amazing time connecting across countries around a common topic, and became close along the way.
Challenges
Integrating Google Vision API using node.js and hosting the Node.js API backend on google compute engine was a bit tricky, using the react-native libraries for camera and storage led to some unknown errors that took some hours to resolve.
Completing this complex project on time was a big challenge in itself and due to some hours missed we were not able to add our demo video.
What's next for CodeVision
In the future, we will be looking forward to adding some more functionality to the application such as code sharing internally, more detailed error handling, syntax highlighting. We are also looking to improve or UI/UX. Moreover, as the Google Vision API will improve so will our application making the application more reliable.
Built With
express.js
google-compute-engine
google-vision-api
hackerearth
node.js
react-native
Try it out
github.com
github.com
35.226.38.50 | CodeVision | Snap and execute | ['Abhishek Kathayat', 'Emily Wu', 'Mudit Mittal'] | [] | ['express.js', 'google-compute-engine', 'google-vision-api', 'hackerearth', 'node.js', 'react-native'] | 47 |
10,518 | https://devpost.com/software/navi-green-7kcon0 | Inspiration
It has been proven multiple times that transportation is the largest contributor to individual carbon emissions, even by Statistics Canada. Transportation accounts for 28.2% of all greenhouse gas emissions in North America. Additionally, over a billion people use google maps MONTHLY for navigation purposes. Recognizing the significance of travel in our daily lives, I combined this with a love for technology and thirst to create a practical and innovative product to provide the carbon emission data necessary with calculated suggestions and solutions without the need for a third-party app or browser extension. Navi-Green lets you find out where you need to go while calculating your carbon emissions and documenting your footprint all in one program! Its like a google maps that actually tells you how eco-friendly you are!
What it does
Navi-Green is a mapping platform that allows users to determine optimal travelling routes, whether it be individuals or businesses, and also get directions and distances when travelling from one place to another. Most mapping and navigation tools such as Google Maps do not provide carbon emissions data directly, leaving people estimating or ignoring the impact they have on the environment. This application ensures people are aware of their carbon emissions and provided the resources necessary to take action, through multiple functions including a carbon footprint based off travel distance (which calculates trees needed to offset as well), a plastic logger, and an optimization route page.
How I built it
HTML, CSS, and JavaScript make up the application, combined with multiple APIs, libraries, and frameworks. Much of the responsive and interactive interface was curated thanks to built in frameworks and libraries including bootstrap and jQuery. The calculators and plastic logger were hard coded in javascript, and much of the styling was through CSS. We curated appealing animations through open source libraries such as particles.js and data-aos. The maps were curated using APIs provided by mapbox, as well as turf.js application for geospatial analysis to generate the most optimal route that would emit the least carbon.
Challenges I ran into
Working with advanced frameworks and libraries made much of the styling quite difficult, especially when creating the Plastic Logger and Carbon Footprint Calculator. Additionally, I would have liked to automatically retrieve the distance element from the map to automatically generate carbon emissions data, but unfortunately was unable to identify the element within the Mapbox API, and thus worked around it by creating an input field that would require the user to type in the distance before generating calculations.
Accomplishments that I'm proud of
I am proud of curating such as well-designed project in a time frame of 24 hours and successfully implementing the Mapbox API and turf.js to provide essential mapping tools to my program.
What I learned
I learned a lot about working with libraries and APIs, as well as getting the opportunity to delve into more advanced javascript.
What's next for Navi-Green
It would be great if Navi-Green could be converted into a mobile application that could be downloadable on the google play or App store. Additionally, being able to utilize GPS data to create a real-time carbon-emission tracker would make a really cool side project that could add on to what I have already created. I could definitely widen the scope of this project greatly, as it provides many practical applications.
Built With
bootstrap
css
html
javascript
jquery
mapbox
turf.js
Try it out
navigreen.github.io
github.com | Navi-Green | Navi-Green is a web application that uses route optimization and navigation data to provide you essential carbon emission data and eco-friendly routes | ['Farzan Bhuiyan'] | [] | ['bootstrap', 'css', 'html', 'javascript', 'jquery', 'mapbox', 'turf.js'] | 48 |
10,518 | https://devpost.com/software/accessabill | Inspiration
Although it is important for people to be informed of the bills and legislation passing through Congress, many don’t. One of the biggest factors behind this could be that the lengthy bills are intimidating and difficult to get through.
Furthermore, even though many people do know their legislators, they never contact them. There may be a lot of reasons for this: too difficult to find a way to contact them, too much work to contact them, too confusing to write a proper message.
Adding to the inconvenience, there is also no website that addresses both bills and representatives, even though they are very much related.
What it does
Upon searching for a bill, people can understand what the bill does and how does it affect them. Upon searching for a Congressperson’s information, they get their contact information so that they can send an email, call the office, or message them on social media. The website also offers advice as to how one should approach writing a message to a Congressional Representative in order to to voice their concerns.
How we built it
First we outlined our layout and discussed the features we wanted to include. Check out our planning doc here:
https://docs.google.com/document/d/16EonxKxXpYAnYQ5xfbKhbSAPs_gVuVQV1HMEASKWT6w/edit
We used bubble.io to design the front end of the solution
Challenges we ran into
Making the web scraping bit was difficult/is incomplete as bubble.io didn't come with direct support for it, so figuring out how to implement it was too difficult to figure out in the given timespan.
Although bubble is really well designed, it did take us some time to understand how to work using it, as visual programming differs from the usual coding we've done in the past.
Along with the learning curve, we got access to collaborate on bubble a little later than expected which left us with less time to work on the back end bit of our solution.
Some time constraints due to different timezones
Accomplishments that I'm proud of
We were able to come up with a solid/feasible plan and were able to finish the front-end aspect of it.
What I learned
We learned web scraping, how it works, how to connect the front end to the backend, and how to use bubble, a visual programming language
What's next for Accessabill
We want to use Google Cloud to implement Accessabill for everyone to use as well as finish off the web scraping portion to make Accessabill fully functional.
We also want to expand our offerings to include more tips for different kinds of contact, such social media messages or phone calls, and a directory where bills are sorted by which house committees they were submitted to.
Built With
bubble.io
nupe
Try it out
accessabill.bubbleapps.io
docs.google.com | Accessabill | Accessabill is a web application that lets anyone know what a bill is for/how it impacts them and lets them voice their opinions/concerns on them to the people who made/decide on these bills. | ['Prithviraj Singh Shahani', 'Kanin Liang', 'Valerie Chlafer', 'Julia Ding'] | [] | ['bubble.io', 'nupe'] | 49 |
10,518 | https://devpost.com/software/covid-19-dashboard-0fqcvb | Confirmed Cases by County
Cases by State
Overall trend of Confirmed States in the US
Inspiration
Covid-19 has affected many people worldwide especially the United States. I wanted to focus on creating a cool and interesting dashboard to be able to easily visualize the trends on Covid-19. I used Tableau due to its dynamic visuals and its ease.
What it does
Using this dashboard you can use the widget to change to visualize a specific date and see how the points of confirmed cases of coronavirus is on the map.Below on the left it shows the number of cases per state on that day and on the right it shows the overall trend of confirmed cases.
How I built it
I used the covid-19 dataset from New York Times which is updated each day:
https://github.com/nytimes/covid-19-data
Then used tableau to visualize each portion of the dashboard.
Challenges I ran into
It was the first time I used Tableau and it was a little difficult to understand all of its functionalities in such a short period of time.
What I learned
I learned to understand some of Tableau's interesting functionalities and how data visualization can help understand the viewer easily conceptualize an idea.
Built With
excel
tableau
Try it out
public.tableau.com | Covid-19 Dashboard | A Covid-19 data visualization for all to see. | ['Tsheung S'] | [] | ['excel', 'tableau'] | 50 |
10,518 | https://devpost.com/software/poli | Poli's Logo
Inspiration
I, Akosua, noticed that a lot of politics happen on Twitter, but it's rather unregulated and can be flooded with memes and the like. There needed to be a place solely for politics. Something productive. During such times of a polarized political climate with protests, increasing youth engagement, the time to vote, and point to now fulfill our civic responsibility in the democratic process, we need a place to meet and talk.
What it does
It's a digital democratic civic engagement platform made By The People, For the People. It implements (and attempts to implement) features such as a current bill & voting section (to see how the public's interests lies against our government's, a legislator lookup based on zipcode, an election calendar, a political alignment quiz, a news collection, and the latest C-Span viewing.
How I built it
We used Bubble.io, HTML5, CongressAPI, and BubbleAPI.
Challenges I ran into
Due to the absence of Bubble.io support, I couldn't collaborate on the features together for a whole day. This put us behind 24+ hours. Upon receiving access to collaborate, there was constant freezing and we had to revert to a saved version, putting us behind in work. As it was a remote assignment, so getting in touch with each other was extremely difficult. We were even apart for 13+ hours and had disrupted internet service throughout.
Accomplishments that I'm proud of
This was definitely a project of firsts. This was my first time using Bubble.io, so there was a "steep" learning curve.
What I learned
How to use Bubble.io. The complexities of API. I couldn't get the data to input correctly due to my unfamiliarity with Bubble.io and APIs in general.
What's next for Poli
The possibilities are endless! We intend to add features that:
allow registered voters to vote on the page (decided that this need effective security)
provide a twitter feed from representatives on the bill
give a structured forum format that requires bill topic, political alignment, concerns, expectation, appeal, and citations
provide lobby & organization accounts which would have a different dashboard and abilities than individuals
Built With
bubble.io
bubbleapi
congressapi
Try it out
drive.google.com | poli | A digital & democratic civic engagement platform. By the People, For the People. | ['Suramy Pidara', 'Akosua Wordie'] | [] | ['bubble.io', 'bubbleapi', 'congressapi'] | 51 |
10,518 | https://devpost.com/software/know-your-closet | Inspiration
When we buy clothes from fast fashion brands, thinking they look super cool, do we actually consider the adverse effects of doing so? Most of that clothing is produced unethically, transported using coal-based machinery, and disposed of with little to no efforts made to be environmentally conscious. Compared to garments worn 50 times and kept for a full year, such fast-moving fashion produces 400% more carbon emissions per item per year. In addition to this, workers are underpaid and work in extremely harsh environments. We wanted to create a platform for consumer awareness about the issue of fast fashion. In addition, we wanted to create a human connection between those who wear the clothes, and the people who made them.
What it does
Know Your Closet is a mobile app that allows users to simply scan a barcode of a clothes product, and get instant information about the country, factory etc. where it was produced, the workers involved in production, as well as sustainability indexes of that particular product. We obtained the
sustainability index
from the
Fashion Transparency Index Report 2020
for each brand, and the
Higg index
for each cloth type. The users can view the profiles and stories of the workers and form a social connection. We have also created a platform to register workers and products into our system for users. We have a user stories section where you can see a story as a video of the person or people who actually made the clothes you wear.
Fashion Transparency Index
The Fashion Transparency Index 2020 reviewed 250 of the world’s largest fashion brands and retailers and ranked them according to how much they disclose about their social and environmental policies, practices and impacts.
The Index is a tool to incentivise and push major brands to be more transparent, and encourage them to disclose more information about their policies, practices and supply chain. Transparency isn’t about which brand does the best, but about who discloses the most information. Transparency does not equal sustainability. Brands may be disclosing a lot of information about their policies and practices but this doesn’t mean they are acting in a sustainable or ethical manner. We know that the pursuit of endless growth is in itself unsustainable. However, without transparency we cannot see or protect vulnerable people and the living planet.
Public disclosure invites us in, and allows us to exercise our right to find out more, non-disclosure perpetuates a non-inclusive system, where citizens are expected to trust brands who have continued to put profit and growth above all else.
The Higg Index
Developed by the Sustainable Apparel Coalition, the Higg Index is a suite of tools that enables brands, retailers, and facilities of all sizes — at every stage in their sustainability journey — to accurately measure and score a company or product’s sustainability performance. The Higg Index delivers a holistic overview that empowers businesses to make meaningful improvements that protect the well-being of factory workers, local communities, and the environment.
The Higg Index helps brands, retailers, manufacturers, and academics understand the environmental impacts of apparel, footwear, and textiles. There are two main Higg Tools: the Higg Materials Sustainability Index (Higg MSI) and the Higg Product Module (Higg PM).
In our approach, we use the Higg MSI to evaluate the environmental and ecological footprint of the fabrics which make up the clothing item, along with the packaging.
How we built it
React Native for front-end
MongoDB Atlas (GCP host) for storing worker, product, factory, fabric, brand and country
Flask for back-end prototyping
GCP serverless functions for endpoints
Figma for prototyping
Challenges we ran into
We faced challenges with integrating our flask server with react native, as well as finishing our project on time. We also faced challenges with the MongoDB integrations. Furthermore, we also struggled on how to turn our problem statement into a quantitative solution, to measure a company's or product's sustainability performance.
Accomplishments that we're proud of
We are proud of creating an effective and fully functional mobile app with a clean UI and fast back-end. We are extremely proud to have turned our problem statement into a conceptualized and quantitative solution by using the Higg Index, a suite of tools that enables brands, retailers, and facilities of all sizes — at every stage in their sustainability journey — to accurately measure and score a company or product’s sustainability performance. Furthermore, we are proud to have used the Fashion Transparency Index in our system as well, a tool to incentivize and push major brands to be more transparent, and encourage them to disclose more information about their policies, practices and supply chain.
What we learned
We learnt how to use React Native and MongoDB atlas. We also learned how to incorporate real life tools such as Higg index and Fashion Transparency into our solution.
What's next for Know Your Closet
We would like to use a more robust framework such as NodeJS for our back-end, and polish off some bugs to streamline the user experience and interface. We would also like to expand the feature set, and release this app for android and iOS.
Domain.com domain - whatsinmycloset.space
Built With
azure
expo.io
mongodb
python
react-native
Try it out
github.com | Know Your Closet | Get to know the story of your clothes | ['Nand Vinchhi', 'Veer Gadodia', 'Muntaser Syed', 'Ebtesam Haque'] | ['Wolfram Award for Top 30 Hacks'] | ['azure', 'expo.io', 'mongodb', 'python', 'react-native'] | 52 |
10,518 | https://devpost.com/software/good-cycle | Inspiration
Plastic waste has always been a major problem in environmental pollution
, both land and sea pollution. The nature of plastic waste is not easily biodegradable, the processing process is toxic and carcinogenic, it takes hundreds of years to decompose naturally.
For pollution in the sea, Indonesia is the second largest producer of marine plastic waste in the world. Research from UC Davis and Hasanuddin University conducted at the Makassar Paotere market showed that 23% of fish samples taken had plastic in their stomachs.
If processed properly, recycled plastic waste can generate profits of IDR 16,379,472 per month from the production of 48 tons of plastic waste.
Today's socio-economic activities cannot be separated from the role of technology. Starting from trading, paying zakat, holding events, etc. can now be easily done with the help of software or applications.
The role of the homeland developer is to provide solutions to problems related to Indonesians.
What it does
Good Cycle is an innovation and dedication of young people to create and develop the social impact of waste management. We collect waste and turn it into valuable resources, such as health, education, renewable energy, products and sustainable investment through building public awareness and empowering people. We aim to contribute to reduce the global waste problem and increase the prosperity and welfare of local communities
How I built it
I build with no-code platform Bubble.io
Challenges I ran into
This is my first hackathon and it is a new challenge in my life
What's next for Good Cycle
It is hoped that the good cycle can be implemented in the public so that the amount of waste waste can be reduced and it can make the environment healthy. And of course it can help the economy in Indonesia
Built With
bubble.io
Try it out
goodcycle.xyz | Good Cycle | Your waste management becomes easier and more useful | ['Gilly Huga'] | [] | ['bubble.io'] | 53 |
10,518 | https://devpost.com/software/peersurance | Inspiration
Natural Disasters, Accidents, Negligence and other such occurences are part of daily life now, and insuring our belongings provides some relief. However, the process for filing a claim, getting it properly evaluated and finally getting a payment can be a long and cumbersome process, especially in the present circumstances. We seek to address the pain point of filing a claim, getting it evaluated and getting fair compensation with PeerSurance
What it does
At it's core, PeerSurance is a smart claims filing and compensation platform. The concept works similar to modern auto insurance at rental companies.
Step 1: You take a picture of the item you want to insure, file the amount you want it insured for and once the policy is accepted and active, you are insured.
Step 2: A disaster happens, and your insured item is damaged, oh no!
Step 3: You take a picture of the damaged item, and file a claim.
Step 4: Multiple assesors will evaluate the claim ( the claim is shared) and vote on whether the claim is valid or not.
Step 5: Once a threshold (determined by Insurance Policy) of postive votes is reached, the claim is accepted and payout is processed
How I built it
Azure Cloud Storage - Images, Media
Azure Serverless Functions - Backend Logic, CRUD operations, Vote and claim processing
React Native - frontend - mobile app
ReactJS
Python
MongoDB - database hosted on Azure
Challenges I ran into
Expo problems on frontend
Credentials and authentication on Azure
Accomplishments that I'm proud of
we overcame our problems and made a working system!
What I learned
Insurance formulas are not trivial!
React Native Expo is very crash prone
quality of code produced is inversely proportional to sleep deprivation
What's next for Peersurance
Incorporate Machine Learning Models to evaluate claims based on uploaded before and after images
Domain,com domain
shouldhaveinsuredmy.space
Try it out
github.com | Peersurance | Peersurance | ['Ebtesam Haque', 'Muntaser Syed'] | [] | [] | 54 |
10,518 | https://devpost.com/software/applyai | Landing page
resume upload
edit resume details
view jobs found
successfully applied!
Inspiration
As a result of the COVID-19 pandemic, millions of people lost their jobs and the US unemployment rate reached an all-time-high of nearly 15% in April of 2020. Job hunting has never been easy. It's time consuming, repetitive, and draining.
As students, we've spent countless hours applying to internships and filling in the same details over and over again.
ApplyAI is here to change that.
What it does
ApplyAI is broken into two main features:
First, it parses your resume to automatically fill out as many fields as it can (if you wrote it on your resume once, why should you have to also enter it into a form a million times?). It then will let you modify any of the fields it gathered, and then update your information.
Second, our extensive bot network will be constantly adding new jobs to our database of jobs and will automatically pick a few that best suit you, using fuzzy matching and cosine similarity. These jobs will be displayed to you all in one place at one time, and you can select as many as you would like and click apply once. That's it! You just applied to multiple highly-relevant jobs in under a minute!
How we built it
The frontend is built with HTML, CSS, JS, and Bootstrap. We use Javascript's Fetch API to communicate with the backend. The frontend is hosted on Firebase at
apply-ai.online
.
The backend is a Ubuntu server configured with Nginx serving files to
api.apply-ai.online
. It is built using python and flask, which then communicates with a Firebase Realtime Database and a Google Cloud Storage Bucket to store resumes.
This project also has a cronjob running on our Ubuntu server. This cronjob is constantly indexing many job sites to pull as much useful info as it can, and continues to train our ML model as it goes. This ensures that even with a limited number of jobs on the market, our algorithms will always
be able to provide you with the best job recommendations out there.
Challenges we ran into
Connecting the frontend to the backend took a long time. We, rather naively, began connecting the two at about 2 am on the day of submissions. Integrating the two was not successful until 10 am on the day of submissions. This meant our entire Devpost is being written in an extremely sleep-deprived state, so we hope you like it!
Besides the constant lack of sleep, another challenge was parsing the resume. Unfortunately, pdf resumes don't have a standardized format. This meant in many cases we needed to apply ML instead of an algorithm. Even still, these ML models are by no means perfect. If you run our demo and happen to get weird data in your pre-filled forms, or no data at all, that is likely a result of our model being unable to properly scrape your resume. If you would be willing, we would love to receive your resume so we could work on upgrading the model in the future to support it.
Accomplishments that we're proud of
With only 3 members on our team, and none of us heavy in frontend knowledge, we knew this was an ambitious project. The fact that we got the Devpost submitted is a testament to our perseverance as a team, especially considering I (Eric), only slept about 6 hours this entire hackathon.
What I learned
As cheesy as it sounds, I really learned to be patient. This took a lot of time and restraint while up in the night debugging. When we finally made it through with everything working, it was the greatest feeling of relief ever.
In addition to our excellent practice debugging it, we also learned how to integrate so many moving parts. We wanted to implement many different features so we would be in the running for the Google Cloud prize track. This meant if one thing threw an error we weren't catching, everything would break. We learned just how important proper error handling is.
What's next for ApplyAI
We really hope to improve on our resume parser. Currently, that is definitely a bottleneck.
We also want to integrate our bots with more job posting websites, like monster.com.
Lastly, our bots have trouble applying to many websites where you need to create an account, or there is an "I'm not a robot" functionality. We are thinking of perhaps packaging this as a chrome extension, and when it detects job fields it will fill them out for you.
Built With
bootstrap
css3
firebase
flask
gcp-filestore
html5
javascript
python
Try it out
github.com
github.com
github.com
apply-ai.online | ApplyAI | Job hunting made easy | ['Eric Andrechek', 'Zaina Qasim', 'Nicholas Tao'] | ['Best Educational Hack', 'Best COVID-19 App (Google Cloud)', 'Wolfram Award for Top 30 Hacks', 'Best Domain Registered with Domain.com - USA ONLY', 'Best Automation Hack by Invensity'] | ['bootstrap', 'css3', 'firebase', 'flask', 'gcp-filestore', 'html5', 'javascript', 'python'] | 55 |
10,518 | https://devpost.com/software/mootive | Value proposition 1
Value proposition 2
Value proposition 3
landing page
mood tracking
statistics 1
search for the keyword "friends"
entries that include the keyword "friends"
statistics 2
recommendations
online P2P support group
Inspiration
Have you ever felt that within the same day, your mood swings were so dramatic that you can't even keep track of? Even when you have a supportive network of friends and family, it's still not enough to feel heard and understood whenever those emotions arise? Maybe sometimes, you don't even want to tell your close friends and family about your poor mental health before trying to figure out on your own first.
With Covid-19, the problem of mood swing and poor mental health exacerbates as many people feel more isolated and lonelier than ever! As one can't manage what one doesn't measure, it is important to track one's mood, not only for people who suffer from mental illness but also for individuals to self-regulate their emotional well-being in these unprecedented times.
What it does
Mootive a mood tracking, journalling and self-help app on mental well-being. We track your mood pattern and provide analytical insights, utilise machine learning to provide personalised recommendations to help you improve your mood, as well as an online support group where you can talk to like-minded people who are in the same boat as you.
Unlike most mood-tracking apps on the market which only collect and analysis users' data, Mootive encourages and supports further action by providing personalised recommendations to improve their mood and avoid triggers. The community feature particularly helps users to find peer support online since many people might feel easier to talk to like-minded strangers online about their mental health struggles than to their friends and family.
How I built it
I used paper prototyping & Figma.
Challenges I ran into
My technical teammate suddenly told me that he wouldn't be able to make it to this Hackathon. Having no technical background at all, I decided to quickly learn and use Figma to create this prototype from scratch. I wasn't sure if I'll be able to do it under the time pressure, however, I decided to give it a go anyway! I'm really glad that I made it on time and built something of my own :)
Accomplishments that I'm proud of
This is the first Hackathon I've ever joined, the first prototype I've ever built and the first time I've ever used Figma!
What I learned
How to use Figma! I also learnt how to communicate my idea to my teammate, as well as how to visualise my idea into something tangible.
Built With
figma
Try it out
www.figma.com | Mootive | It is a mood tracking, journalling and self-help app on mental wellbeing. We track and analyse your mood pattern, provide personalised recommendations and online P2P support groups chat rooms. | ['Karina Lai'] | [] | ['figma'] | 56 |
10,518 | https://devpost.com/software/data-visualization-of-usa-spending | USA Spending
Incarceration
USA Spending vs. Incarceration
ML Model for Incarceration Prediction
Submission for Hack for the People
Why?
I wanted to challenge myself because I've only created projects that target environmental issues so I decided to pick a topic about sociocultural x economic. This lead to me building the data app you see here.
How?
The front end (all the graphs) are from dash plotly and a bit of css. I gathered data from the USA Justice System, USA Census and USA government websites and cleaned them with a combination of pyspark and pandas. Then I built a tensorflow model that predicts the total correctional population based on the input features you see in the app. Unfortunately, my first model that used states as a input feature had an absolute error 4 times smaller than the current model, but I was unable to one-hot encode the user inputs correctly and to be able to provide a model at all I had to only rely on the numeric inputs.
What I would do differently?
I would gather much more data, such as the ages per state, gender, and just more data in general. There was about 200 values to train on for the model so that was one of the reasons the error was less than desirable. I would also use more enumerations of input features such as gender, state and democratic affiliation because those are also very large factors in incarceration rates.
Where did I get my data?
You can find out where I got my data at my
github
Built With
css
dash
jupyter-notebook
pandas
plotly
pyspark
python
tensorflow
Try it out
github.com | USA Spending x. Incarceration Stats | A web app showing the relationships between spending and incarceration rates and predicts correctional population rates with tensorflow | ['Lucy Hao'] | [] | ['css', 'dash', 'jupyter-notebook', 'pandas', 'plotly', 'pyspark', 'python', 'tensorflow'] | 57 |
10,518 | https://devpost.com/software/recipeas | Email:
Samaynandwana@gmail.com
Submitting in XDHacks Continuation Track
Inspiration
Many people often struggle to decide what to make for dinner. Additionally, many people often don't venture out into different cuisines or variations of the dishes they eat.
What it Does
Recipeas attempts to solve the above issue by providing users with a personalized search engine. Simply put in one or more ingredients, and you will be provided with a wide variety of recipes of different type and cuisine. This will help people save time during thinking of what to make for dinner, and allow people to try different cuisines and food items that they may not have thought of.
How I Built it
The app was built using React.js for the functionality and the front end. HTML/CSS and a little bit of Material UI was used to style the app. I also used the NPM Package Manager and Github for version control. The Edamam API was used to help get access to the different types of recipes.
Challenges I ran Into
It was originally tough to get the style to be in a presentable way, so it took a lot of trial and error to get it in a pleasant way that the user would have an enjoyable experience using.
Accomplishments that I'm proud of
I am proud of my ability to use the Edamam API, since it was my first time using the API
What I learned
I learned how to do several new styling features with React and CSS. I also learned how to manage my time and critically think.
What's Next for My Project
Since our goal is to make Recipeas a globally accessible website, we attempt to implement a few features to make our website more usable for all. This includes adding translations in a wide variety of languages so the website isn't restricted into English speaking users, implement features for dietary restrictions, and to add an "On The Go" Feature: recipes specifically meant for when travelling.
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
.
Built With
css
edamam
edamam-nutrition
html
javascript
materialui
npm
react
react-native
Try it out
github.com | Recipeas | Get numerous different recipes by inputting the ingredients you have in your fridge! | ['Samay Nandwana'] | ['Top 15 Projects', 'Wolfram Award for Top 30 Hacks'] | ['css', 'edamam', 'edamam-nutrition', 'html', 'javascript', 'materialui', 'npm', 'react', 'react-native'] | 58 |
10,518 | https://devpost.com/software/purple-light | Logo
Inspiration
Domestic Violence cases have been rising exponentially over the years and spiked during quarantine. In fact, people are at 3x the greater risk now because of COVID-19. Due to these alarming statistics, Purple Light was created to provide the emergency resources to victims in need and serve as a learning platform to prevent these cases. This app will be beneficial to everyone and can be used by anyone to learn self defense, the signs, and report any misdemeanors.
What it does
Purple Light has numerous features including a SafeSmart Location Tracker, SafeSpace Map, emergency action items, donation pages, self defense courses, resource/hotline databases, and more! It is one stop spot for anyone who is at risk or seeks to take the preventative measures early.
How we built it
We utilized the figma app to create the layout and vision. Then, exported the code to GitHub and there, it will be fine tuned and created.
Challenges we ran into
We ran into a smooth UI that is easy to navigate through, but eventually we managed through it and learned a lot through it too!
Accomplishments that we're proud of
We are proud that we were able to solve a crisis that impacts many. We believe that everyone deserves the chance to know the safety precautions and being able to create an app that does so was very exciting for us.
What we learned
We learned the alarming statistics surrounding the domestic violence crisis. We learned a lot of prototyping through figma and basic CSS.
What's next for Purple Light
We hope to develop the app and create a more intricate code as we learn more. We both are new to code and are in the process of learning.
Built With
ai
figma
github
html
python
Try it out
www.figma.com | Purple Light | Due to the rise in domestic violence cases over the years and in quarantine, Purple Light, a mobile application, provides emergency & preventative measures to combat the domestic violence crisis. | ['Avia Xin'] | [] | ['ai', 'figma', 'github', 'html', 'python'] | 59 |
10,518 | https://devpost.com/software/hackforpeople | People with anxiety can often feel extra pressure when they get a panic attack while in public.
With our app, they can be guided through their panic attack, be prompted to talk with someone who can help them, and meditate if they want to.
We are very concerned with mental health, especially with all that is going on in the world right now. We think that creating an application like this can really help people and put their minds at ease. We were able to use dialog flow for the ai/ml portion and used reacts as the front end. We were faced with challenges related to both technologies since they are both relatively new to us.
Built With
css
html
javascript
react
Try it out
github.com | Hackforpeople | Let us help you whenever life gets a little overwhelming. | ['Kobe Rico', 'Vishal Agarwal'] | [] | ['css', 'html', 'javascript', 'react'] | 60 |
10,518 | https://devpost.com/software/lorax-luring-others-to-retain-our-abode-extensively | Hello and thank you for judging my project. I am listing below two different links and an explanation of what the two different videos are. Due to the time constraints of some hackathons, I have a shorter video for those who require a lower time. As default I will be placing the lower time video up above, but if you have time or your hackathon allows so please go ahead and watch the full video at the link below. Thanks!
3 Minute Video Demo
5 Minute Demo & Presentation
For any questions or concerns, please email me at
joshiom28@gmail.com
Inspiration
Resource extraction has tripled since 1970. That leaves us on track to run out of non-renewable resources by 2060. To fight this extremely dangerous issue, I used my app development skills to help everyone support the environment.
As a human and a person residing in this environment, I felt that I needed to used my technological development skills in order to help us take care of the environment better, especially in industrial countries such as the United States. In order to do my part in the movement to help sustain the environment. I used the symbolism of the LORAX to name LORAX app; inspired to help the environment.
_ side note: when referencing firebase I mean firebase as a whole since two different databases were used; one to upload images and the other to upload data (ex. form data) in realtime. Firestore is the specific realtime database for user data versus firebase storage for image uploading _
Main Features of the App
To start out we are prompted with the
authentication panel
where we are able to either sign in with an existing email or sign up with a new account. Since we are new, we will go ahead and create a new account. After registering we are signed in and now are at the home page of the app. Here I will type in my name, email and password and log in. Now if we go back to firebase authentication, we see a new user pop up over here and a new user is added to firestore with their user associated data such as their
points, their user ID, Name and email.
Now lets go back to the main app. Here at the home page we can see the various things we can do. Lets start out with the Rewards tab where we can choose rewards depending on the amount of points we have.
If we press redeem rewards, it takes us to the rewards tab, where we can choose various coupons from companies and redeem them with the points we have. Since we start out with zero points, we can‘t redeem any rewards right now.
Let's go back to the home page.
The first three pages I will introduce are apart of the point incentive system for purchasing items that help the environment
If we press the view requests button, we are then navigated to a page where we are able to view our requests we have made in the past. These requests are used in order to redeem points from items you have purchased that help support the environment. Here we would we able to
view some details and the status of the requests
, but since we haven’t submitted any yet, we see there are none upon refreshing. Let’s come back to this page after submitting a request.
If we go back, we can now press the request rewards button. By pressing it, we are navigated to a form where we are able to
submit details regarding our purchase and an image of proof to ensure the user truly did indeed purchase the item
. After pressing submit,
this data and image is pushed to firebase’s realtime storage (for picture) and Firestore (other data)
which I will show in a moment.
Here if we go to firebase, we see a document with the details of our request we submitted and if we go to storage we are able to
view the image that we submitted
. And here we see the details. Here we can review the details, approve the status and assign points to the user based on their requests. Now let’s go back to the app itself.
Now let’s go to the view requests tab again now that we have submitted our request. If we go there, we see our request, the status of the request and other details such as how many points you received if the request was approved, the time, the date and other such details.
Now to the Footprint Calculator tab, where you are able to input some details and see the global footprint you have on the environment and its resources based on your house, food and overall lifestyle. Here I will type in some data and see the results.
Here its says I would take up 8 earths, if everyone used the same amount of resources as me.
The goal of this is to be able to reach only one earth since then Earth and its resources would be able to sustain for a much longer time. We can also share it with our friends to encourage them to do the same.
Now to the last tab, is the savings tab. Here we are able to find daily tasks we can simply do to no only save thousands and thousands of dollars but also heavily help sustain and help the environment. *
Here we have some things we can do to save in terms of transportation and by clicking on the saving, we are navigated to a website where we are able to view what we can do to achieve these savings and do it ourselves. *
This has been the demonstration of the LORAX app and thank you for listening.
How I built it
For the navigation, I used react native navigation in order to create the authentication navigator and the tab and stack navigators in each of the respective tabs.
For the incentive system
I used Google Firebase’s Firestore in order to view, add and upload details and images to the cloud for reviewal and data transfer. For authentication, I also used
Google Firebase’s Authentication
which allowed me to create custom user data such as their user, the points associated with it and the complaints associated with their
user ID
. Overall,
Firebase made it EXTREMELY easy
to create a high level application. For this entire application, I used Google Firebase for the backend.
For the UI
for the tabs such as Request Submitter, Request Viewer I used React-native-base library to create modern looking components which allowed me to create a modern looking application.
For the Prize Redemption section and Savings Sections
I created the UI from scratch trialing and erroring with different designs and shadow effects to make it look cool. The user react-native-deeplinking to navigate to the specific websites for the savings tab.
For the Footprint Calculator
I embedded the
Global Footprint Network’s Footprint Calculator
with my application in this tab to be able to use it for the reference of the user of this app. The website is shown in the
tab app and is functional on that UI
, similar to the website.
I used expo for wifi-application testing, allowing me to develop the app without any wires over the wifi network.
For the Request submission tab, I used react-native-base components to create the form UI elements and firebase to upload the data.
For the Request Viewer, I used firebase to retrieve and view the data as seen.
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 some of the parameters being updated both in the state and in firebase got mixed up. Another issue I encountered was being able to retrieve the image from firebase. I was able to log the url, however, due to some issues with the state, I wasnt able to get the uri to the image component, and due to lack of time I left that off. Firebase made it very very easy to push, read and upload files after installing their dependencies.
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
data modelling, and creating custom user data points. **However, due to my previous experience with **firebase, and some documentation referencing
I was able to see firebase’s built in commands allowing me to query and add specific User ID’s to the the database, allowing me to search for data base on their UIDs. Overall, it was a great experience learning how to model data, using authentication and create custom user data and modify that using google firebase.
Theme and How This Helps The Environment
Overall, this application used
incentives and educates
the user about their impact on the environment to better help the environment.
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 LORAX (Luring Others to Retain our Abode Extensively)
I hope to create my
own backend in the future
, using
ML
and an
AI
to classify these images and details to automate the submission process and
create my own footprint calculator
rather than using the one provided by the global footprint network.
Built With
apis
data-modelling
expo-permissions
expo.io
footprint-calculator
google-firebase
google-firebase-authentication
google-firestore
google-storage
react-native
react-native-base
the-global-footprint-network
Try it out
github.com | LORAX (Luring Others to Retain our Abode Extensively) | Gamifying and rewarding those who help the environment through their actions and lifestyle | ['Om Joshi'] | ['3rd Place', 'Best Design', 'Wolfram Award for Top 30 Hacks'] | ['apis', 'data-modelling', 'expo-permissions', 'expo.io', 'footprint-calculator', 'google-firebase', 'google-firebase-authentication', 'google-firestore', 'google-storage', 'react-native', 'react-native-base', 'the-global-footprint-network'] | 61 |
10,518 | https://devpost.com/software/aashray-zg7yn6 | Inspiration
.
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for .
Built With
blockchain
bootstrap
css3
etereum
figma
ganache
git
html5
javascript
jquerr
matic
metamask
mysql
node.js
php
web-3
xamp | . | . | [] | [] | ['blockchain', 'bootstrap', 'css3', 'etereum', 'figma', 'ganache', 'git', 'html5', 'javascript', 'jquerr', 'matic', 'metamask', 'mysql', 'node.js', 'php', 'web-3', 'xamp'] | 62 |
10,518 | https://devpost.com/software/plutus-uscxod | Details regarding monthly expenses are being entered in.
A pie chart shows the ratios of the expenses of each category compared to the whole monthly expenses.
This application has the functionality to print out data.
Inspiration
There are many people that suffer from managing finances appropriately, and this can cause people to remain in poverty. These people tend to not have much knowledge in finances and in turn are not able to experience social mobility. Due to this, there is a wide disparity among the rich and poor.
After doing some brainstorming, we decided to create an application that will help people prioritize their needs with fiscal sense. This application was designed to be used unviersally from all working adults, regardless of geography, race, sex, or political backgrounds. By creating this application, we hope to help raise the conditions of those who remain in poverty so that they can achieve the seemingly elusive American Dream. This application was designed to be intuitive and simple to use to be accessible to a wide audience with different educational backgrounds. By ensuring that the application does not need created accounts, people will be more readily available to use our product.
What it does
Plutus is a web application that utilizes various modern web technologies to help create an intuitive all inclusive platform for expense tracking and budgeting. Because maintaining a budget is oftentimes time consuming and lacks organization, our digital platform helps to keep all the numbers in one centralized place and provides clear visualizations of the data inputted. Our application allows users to input their monthly income and expenses via various categories. Upon submission, this application provides a pie chart of expenses as well as how far over or under budget the user had been each month. Furthermore, the user can see an aggregate view of the whole year and print financial results.
How We built it
We built an application using HTML, CSS, and JavaScript. Our code was separated into three files: an index.html file, a style.css file, and a script.js file. The index.html file contained a format with input textboxes, labels, and paragraphs. The style.css file stylized the webpage to be similar to reddit’s dark mode theme. The script.js file read input from the textboxes to make several mathematical calculations and display pie charts. Pie charts were created in JavaScript using the Google Charts JavaScript library. The printing of a section of a page used the PrintJS library.
Challenges We ran into
In this hackathon, our biggest struggle was creating a feasible product that would not be threatened by the time constraints. When we finished a prototype of the product, we temporarily suffered from writer’s block in that we did not know which direction our project should go into. This caused us to reach out to others for feedback and more potential features. During our coding streak, we faced numerous bugs and errors. However, through the use of proper debugging ethics (including the usage of console.log), we were able to fix the errors and clean and maintain our code.
Accomplishments that We’re proud of
We were proud of creating a product that seemed useful to society and received acclaim from those that playtested it. We were also impressed in some new skills that we learned including how to create pie charts and printing sections of pages through JavaScript.
What We learned
Throughout this hackathon, we learned a lot about web development and how to create an interactive web application. We were able to understand how to integrate HTML forms with JavaScript. Finally, we became experienced at importing external libraries into our project and integrating them into our product.
What's next for Plutus
For our next steps, we would like to expand and add an extended feature set such as the ability to save user information onto a database for access across various devices and the ability to specify or remove categories for expenses. We would also like to release our product to the iOS App Store and Android Google Play Store to make our application more accessible.
Built With
chartjs
css
css3
html
html5
javascript
Try it out
plutusnew-1.snake1324.repl.co
github.com
kinozampie.github.io | Plutus | Using web technologies to solve fiscal irresponsibilites. | ['Devang Bhatnagar', 'Harshit Gupta'] | [] | ['chartjs', 'css', 'css3', 'html', 'html5', 'javascript'] | 63 |
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