hackathon_id int64 1.57k 23.4k | project_link stringlengths 30 96 | full_desc stringlengths 1 547k ⌀ | title stringlengths 1 60 ⌀ | brief_desc stringlengths 1 200 ⌀ | team_members stringlengths 2 870 | prize stringlengths 2 792 | tags stringlengths 2 4.47k | __index_level_0__ int64 0 695 |
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10,335 | https://devpost.com/software/petcare-tracker | Inspiration
In the United States alone roughly 37% of dogs are overweight and 19% are obese. This equates to more than 50% and research has found that these numbers will continue to grow. More often than not dogs are overfed or given poor exercise leading to severe health issues and decreased life expectancy. When we talked to veterinary professionals, they told us how they usually have to calculate the lean weight of the owner’s dog to update the food amount given to their dog on a daily basis. The problem is dog owners usually only go to checkups once a year. That means that the food amount will eventually be invalid, and the dog may be eating too little or too much based on its lean weight progress over time.
What it does
Our app takes in user input of a dog's characteristics and information to determine how much food and exercise the dog should be receiving on a daily basis. What’s unique about our app is that we have an API that will progressively update the age of the dog, and we have our own python machine learning predictive model using Keras that will predict what the lean weight of the dog will be over time since we already know how much the dog is eating every day. The predictive model is graphed on the nutrition page, and you can see key weight milestones for the dog such as when it’s 1 year old, 2 years old, wtc. We also have additional features such as a Vaccine Log that will help the user keep track of all past vaccines and a Behavior Log that will help owners track significant behavioral changes which could ultimately help veterinarians diagnose diseases and problems sooner.
How we built it
We used the Flutter SDK by Google to create an app that can run both on the app store and the play store. The primary language we used was dart, and we worked as a team and split up different pages of the app, and once we were done with our individual work, we merged everything using GitHub. Our key emphasis throughout the app was to have a simple but functional user experience. Most other pet tracking apps only track physical activities or calorie count, but require the user to enter in the calorie amount and exercise time every time the dog eats or wants to go out. We knew this can be disheartening for a consumer to consistently use an app, so our main focus was to have one setup process where you set up your dog’s information when you first download the app, then the user will never have to edit anything again. We also chose a lighter tone for the UI of the app to make it seem more simplistic to the user.
Challenges we ran into
When submitting we ran into technical difficulties since our Zoom calls weren’t working. We also had a lot of challenges with the Flutter software. We also experienced a lot of problems with the animations throughout the app. We wanted to make the user experience as appealing as possible, so our decision to spend a significant amount of time on it led to numerous animation bugs and rendering problems. Issues with implementing the API and other UI navigation issues constantly popped up as well but we worked through it together, and we are extremely proud of the product we produced.
Accomplishments that we're proud of
We are most proud of the nutrition page because there is currently no app that can predict the lean weight of a dog over time, and determine the exact amount of food the dog should be eating. The model required the implementation of an API that could determine time zones, and update the age of the dog over time. This implementation in itself was difficult for us, and we were very proud to see everything work in cohesion. We were also proud of the animations throughout the app and transitions between screens because these ultimately made our app look more professional and appealing for us to use.
What we learned
We learned a lot about how to make an app, and specifically how to implement an API and python back end. This was the first time we had built an app through the Flutter software, and we were excited to create an app which would work for both IOS and Android. We spent quite some time working through the small errors so it was very nice to solidify the basics. We did have experience with the android studio so it made it easier for us to build this app as a whole, but we learned a lot about Flutter and Dart.
What's next for PetCare Tracker
So currently we are focusing on creating a fully functional and viable prototype as there are many features and tweaks we would like to make. Once we do that we plan on running a few Beta trials with Pet Owners and their Vets. At that stage, the revenue would be generated through ads. If our trials prove to be successful we will file for a proprietary license and copy-right the code. We’ve read the USPTO criteria and we believe our app would be eligible for a patent as well since with combination of features, especially the predictive model. For our third stage, we would also generate revenue through a licensing fee if we can work with pet clinics.
Built With
dart
flutter
python
timeszonesapi
Try it out
drive.google.com | PetCare Tracker | A solution to so many dogs in the U.S. being overweight and obese is an app that monitors the dog's health while providing the necessary information to maintain fitness. | ['Akhil Giridhar', 'Kaushik Indukuri', 'Dreadnought202'] | [] | ['dart', 'flutter', 'python', 'timeszonesapi'] | 35 |
10,335 | https://devpost.com/software/healthrific | Contact free basin modified design
Actual picture of Basin
Actual hardware pic
SignIn page
SignUp page
Forgot Password page
Kiosk Test
Self Assessment Test
Covid 19 Updates
Health Tips
Results of Self assessment test
UV-C
todo
Built With
bluetooth
dart
firebase
flutter
Try it out
github.com
docs.google.com
drive.google.com | no | na | ['Haripriya Baskaran', 'Mohammed Mohsin'] | ['Script Foundation: Best Healthcare Solution'] | ['bluetooth', 'dart', 'firebase', 'flutter'] | 36 |
10,335 | https://devpost.com/software/eduquix-v2-0 | EduQuix- Quiz
EduQuix- Meetings
EduQuix- SignUp
EduQuix- LogIn
Meet the Creators
EduQuix- Home Page
EduQuix Store- Home
EduQuix Store- Books
Inspiration
Corona Virus pandemic lead to online teaching everywhere, That made us to think of making a project solving the problem related to online teaching and bringing every needed features to a single educational platform.
What it does
Some of the features are listed below:-
It asks students and teachers to sign up or login. After that, it provides the students zoom URL to join the online meeting, teachers has to start their own meeting and has to upload the meeting ID and password to the website server so the students may join.
After the meeting ends, the students has to solve quiz related to the class which will automatically give them marks according to their performance. Teachers get excess to upload the quiz.
Teachers may assign students projects or assignments using this platform and students can submit their work before the deadline.
Also this project enables users the access to order school essentials like books, pens and other stationery online through it.
How I built it
The delivery part was built using wix.com's theme and by modifying it into stationery store website.
Android app was made using Kodular.
Rest of the complete website was made using Bootstrap Studio by integrating website with, Zoom for the meetings, Firebase to get the meeting ID and password for the Zoom meeting and then linking the main site with the delivery site made through wix.
Challenges I ran into
I was new to website development, so, Working on the project enhanced my experience with Website Development.
Accomplishments that I'm proud of
I got to learn about website development as I'm beginner to website development.
I got to learn integrating firebase to websites as well as android apps.
I was a beginner to bootstrap but now I have enough knowledge to make a website work using bootstrap
What I learned
Team Work is a major thing I got to learn by working with teammates belonging to different parts of the world.
I was new to website development. So I got to know more about website development using bootstrap and wix.com
I used to integrate mobile apps with firebase but this project gave me an opportunity to learn about integrating websites with firebase.
What's next for EduQuix
In future, we plan to make an iOS app so it would be easier for everyone to use it even for them who don't own an android phone, computer or a laptop.
We would try to add notification pannel in the project through which students may get aware of emergency updates like if class gets postponed or gets canceled.
We would introduce, free online tutorials, so that students may learn more, outside the classroom.
We will also add a feature, for easier note taking during classes, which can also be accessed, after lessons for future references.
A feature for teachers, to upload files such as presentations, to allow contribution for both students and teachers.
We can tie up with local stationery stores to provide users same day delivery.
Built With
bootstrap
css
html
javascript
kodular
wix
Try it out
github.com
keshavmajithia.github.io
hkhrapps.wixsite.com
drive.google.com
drive.google.com | EduQuix 2.0 | Endless Learning From Home! Seamless Delivery of School Supplies! | ['Keshav Majithia', 'Aanya P'] | [] | ['bootstrap', 'css', 'html', 'javascript', 'kodular', 'wix'] | 37 |
10,335 | https://devpost.com/software/education-hub-zql19w | HomePage
Content Page
Inspiration
Seeing children making an account on social media to listen or watch their ideal entrepreneurs, ideal persons advice, and to take their lessons. And then complaining about the media in various ways like excess content or negative content or unwanted content other than learning, etc.
What it does
It fetches and provides data/ posts from networking sites regarding really important skills from the world-known experts and displays the content in the particular section of expertise And that is hardcoded for now
How I built it
Being no experience in any framework, I started this project with the initial learning and then supported by teammates who know the react framework and take this static website to a single page application SPA.
Challenges I ran into
Our whole team ran into challenges about code and design, I grind my thoughts around the idea, I was stuck at the theme and confused to highlight the problem in the society. But worked on it and searched a lot of articles that support my highlighted problem.
Accomplishments that I'm proud of
I have participated first time in a hackathon, so I am happy to say this that I learned and build and had a great experience with the team even with remote collaboration
What I learned
I learned react framework and video editing and little knowledge in the product development area
What's next for Education Hub
The education hub project will be incorporated with APIs to fetch data and a search with a highly supportive filter for the users to browse the best content from the platform.
Built With
api
instafeed
react
redux
sketch
Try it out
github.com | Education Hub | A learning platform and a new approach to social media | ['Agrit Tiwari', 'Abhinav Dixit', 'Shubhangi Shubhangi'] | [] | ['api', 'instafeed', 'react', 'redux', 'sketch'] | 38 |
10,335 | https://devpost.com/software/voice-assistant-flabo | Add details of user
Firebase database(responses of user from webapp)
Dialogflow intents
Google Cloud resource panel
Home page of the Webapp
Inspiration
Online shopping has come a long way. People tend to prefer it more these days. But what about some drawbacks of it some people face like not knowing which product to buy, offers etc., In retail shops there are actual humans who recommends us products and take returns if there's anything wrong, tell us offers avilable and so on. These little HUMAN things are not available in online stores. We tried to bring that Human Touch to online stores with Flabo and fill this gap.
What it does
We have built a very site which sells very minimal medicines legally. Flabo is a voice assistant which helps you get the right medicine based on the symptoms you tell it and even add,remove,modify your cart online instantly and finally checkout as you say. It even tells you offers available unlike the promocode hassle everyone has in other sites.
How we built it
We built the online store with basic frontend technologies like HTML,CSS,Bootstrap and depended a lot on Javascript to integrate Flabo from Google Cloud to web app. We have used the Alan tool for voice. Firebase is used mainly to store the responses and then integrated with GCP. Dialogflow is used to mainly make intetns,entites and responses to map the user command and repond accordingly. Googles Calendar API, Location API is used through Google Cloud Platform and also some storage in it.
Challenges we ran into
We have troubles with integrating assitant with GCP. It solved in less time and then we got into troube with database part. Firebase documentation helped us get out of it after decent long time.
Accomplishments that we're proud of
We are very happy about the voice integration to our online store. It seemed very difficult in beginning. But we tried and went through the docs repeatedly and we finally completed it. Still there are some bugs and unrecognized patterns but with more intents we can overcome those to make this production ready.
What we learned
We learned a lot about firebase in this project. It is quite easy to use and helped us complete project in time. It's compatibility with Google cloud and dialogflow really helped us in making Flabo.
What's next for Flabo
Currently Flabo can order and suggest you things for limited products available in online store "Generics" created by us. We are planning to expand it to other websites as well.
Built With
css3
firebase
google-cloud
html5
javascript
Try it out
mohinishteja.github.io
github.com | Voice Assistant Flabo | Smart voice assistant for online store. | ['Mohinish Teja'] | [] | ['css3', 'firebase', 'google-cloud', 'html5', 'javascript'] | 39 |
10,335 | https://devpost.com/software/eduquix | Assignment
Zoom Class
Quiz
Home Page
About The Teammates
Cart
Store HomePage
Cart Oliver Twist
Meet The Team
Best Books
Inspiration
Corona Virus Outbreak made the world slower than usual. Students would suffer more because of lockdown in the countries, schools are shut and students have no other source than learning online. We decided to improve online learning and education by making a project called EduQuix. Also our project focus on home delivery of school essentials.
What it does
Some of the features are listed below:-
It asks students and teachers to sign up or login. After that, it provides the students zoom url to join the online meeting, teachers has to start their own meeting and has to upload the meeting ID and password to the website server so the students may join.
After the meeting ends, the students has to solve quiz related to the class which will automatically give them grades according to their performance. Teachers get excess to upload the quiz.
Teachers may assign students projects or assignments using this platform and students can submit their work before the deadline.
Also this project enables users the access to order school essentials like books, pens and other stationery online through it.
How I built it
The delivery part was built using wix.com's theme and by modifying it into stationery store website
Quiz page was made using Wolfram Techologies
Rest of the complete website was made using Bootstrap Studio by integrating website with, Zoom for the meetings, Firebase to get the meeting ID and password for the Zoom meeting and then linking the main site with the delivery site made through wix.
Challenges I ran into
All the teammates belonged to different countries, So the time zone created a major problem for us to collaborate but we divided the work and every teammate completed its work on time.
I was new to Wix.com, so it was time consumable to understand it and make a working website.
One of my teammate was new to firebase. So, it was difficult for him to work with that but he got to learn about firebase and how to use it. It was time consuming but helping each other made the work easier
Accomplishments that I'm proud of
I got to learn about website development because it was my first time making a website
I got to learn integrating firebase to websites.
I was a beginner to bootstrap but now I have enough knowledge to make a website work using bootstrap
What I learned
Team Work is a great thing I got to learn by working with people belonging to different parts of the world.
I was new to website development. So I got to know more about website development using bootstrap and wix.com
I used to integrate mobile apps with firebase but this project gave me an opportunity to learn about integrating websites with firebase.
What's next for EduQuix
In future, we plan to make an android app so it would be easier for everyone to use it even for them who don't own a computer or a laptop.
We would try to add notification pannel in the project through which students may get aware of emergency updates like if class gets postponed or gets canceled.
We would try to improve assignment part and quiz part so that students may get amazing experience related to the class they attended.
We can tie up with local stationery stores to provide users same day delivery.
Built With
bootstrap
css
firebase
html
iframe
javascript
python
wix
wolfram-technologies
Try it out
github.com
naseeb0.github.io
devpost.com | EduQuix | Endless Learning from Home, Seamless Delivery of School Supplies! | ['Naseeb Dangi', 'Keshav Majithia', 'Min Min Tan'] | ['Track Winner: Education'] | ['bootstrap', 'css', 'firebase', 'html', 'iframe', 'javascript', 'python', 'wix', 'wolfram-technologies'] | 40 |
10,335 | https://devpost.com/software/edu-zone | Add a video
Index
Video Galery
Video
What it does. It a website where you can post an educational video you want to share with everyone. And anyone around the globe can access it for free and learn new things.
How I built. I made the website using sublime text and the database using PHPMyAdmin.
Challenges I ran into I had problems with the upload of the file and CSS.
Accomplishments that I'm proud of. Having finished video upload and the gallery.
What I learned I learned to upload files using PHP, and other PHP things and a bit of CSS.
What's next for Edu Zone I may try to change the design of all the website and add like/dislike.
Built With
css
html
javascript
php
phpmyadmin
Try it out
github.com | Edu Zone | Edu Zone is a free website where education video can be upload from anyone, it can be used by anyone that have access to internet. | ['William Dubuc'] | [] | ['css', 'html', 'javascript', 'php', 'phpmyadmin'] | 41 |
10,335 | https://devpost.com/software/c-care | When our app worked, Satisfied
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
WINNER at Global Hacks in the category of HEALTH AND MEDICINE.
WINNER at MacroHack As the best Android Application.
WINNER at MLH Hackcation in the category ( Our first Hackcation ).
TOP 5 in innovaTeen hacks.
TOP 10 in Restartindia.org and Hack the crisis Iceland.
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 | C - CARE | C - CARE An app that makes every person a COVID warrior. | ['Anup Paikaray', 'Arnab Paikaray'] | ['Track Winner: Health and Medicine'] | ['android-studio', 'geofence', 'google-maps', 'java', 'sqlite'] | 42 |
10,335 | https://devpost.com/software/hangman-ezdf41 | What it does
Hangman game build using React
Built With
javascript
react
Try it out
hangman-221.vercel.app | Hangman | Hangman Game | ['Prottay Rudra'] | [] | ['javascript', 'react'] | 43 |
10,335 | https://devpost.com/software/knowledgy | Humanitarianism Section
Home Page
Health Section
Inspiration
The creating of this web app is inspired by idea that the people around us does not have more information
or knowledge about these topics in real life so create something that provide news about these topics.
What it does
It provides latest information and news about topics listed :
Humanitarianism
Sustanibility
Health
Education
Inequality
## How I built it
It is built using react js with help of newsapi which provides article information.
## What I learned
This is our first hackathon so learned a lot of things like managing project on time and many other things
## What's next for Knowledgy
Currently Knowledgy is in V1 so in next version we will include a lot of things like history , videos section
regarding these topics and use more apis.
Built With
css
html5
javascript
newsapi
react
Try it out
github.com | Knowledgy | Provides leatest info about Humanitarianism,Sustanibility,Health,Education and Inequality. | ['Abhinav Kumar', 'anurag kumar'] | [] | ['css', 'html5', 'javascript', 'newsapi', 'react'] | 44 |
10,335 | https://devpost.com/software/cogate-7nmfor | Inspiration
A smart AI-based gate which will open if the person will be wearing the mask with a sanitizing pathway based on liquid sanitizing for humans and UV sanitization for electronic gadgets.
The problem CoGate solves
There is widespread Corona Virus in the entire country and we have no solution rather have precautions and wearing masks is one of the essential. Since we found many people are entering without the mask to offices so we made this project.
As per the problem, we have come with an excellent solution which will solve this problem.
Introducing CoGate, a smart AI-based gate that will only allow those who will be wearing masks and not allow who are not having masks.
How I built it
The gate is based on realtime Computer Vision and Machine Learning. It is built with a camera that is connected with Google's Teachable Machine Image processing platform. The camera will detect whether the person is wearing a mask or not. If the person will be wearing the mask then it will send the signal to open the gate, to the microcontroller (here, Arduino) via Serial Port Interface (we are using p5 Serial Port). If the person will not be wearing a mask then the gate will not open.
Not only this, but the pathway of CoGate will also have a sanitizing chamber, of liquid for humans and a UV sanitizing chamber for electronic gadgets, and at the last, there'll be another gate to let the person enter into the office/building. The last gate can be used as a counter (in malls especially) to enter a particular number of people to avoid crowds over that place.
So, this is our project idea, we have thoroughly explained in the PPT (link) attached. In this way, we can make people to use masks more and more and make people aware of to wear masks.
CoGate: How it works?
The AI-based Gate: The gate is based on realtime Computer Vision and Machine Learning. It is built with a camera that is connected with Google's Teachable Machine Image processing platform. The camera will detect whether the person is wearing a mask or not. If the person will be wearing the mask then it will send the signal to open the gate, to the microcontroller (here, Arduino) via Serial Port Interface (we are using p5 Serial Port). If the person will not be wearing a mask then the gate will not open.
The UV & Sanitizing Chambers: The pathway of CoGate will also have a sanitizing chamber, of liquid for humans and a UV sanitizing chamber for electronic gadgets, and at the last, there'll be another gate to let the person enter into the office/building.
The crowd controller: The last gate can be used as a counter (in malls especially) to enter a particular number of people to avoid crowds over that place.
Challenges I ran into
We are very basic to Machine Learning, therefore we faced major problems but thanks to Teachable Machine from Google which solved our major problem as they provide the ML platform.
Technologies we used
-HTML
-JavaScript
-Machine Learning
-Arduino Uno
-AI Computer vision
Complete Explanation Video Link:
https://www.youtube.com/watch?v=7VTW0m-YJbI
Built With
arduino
html5
javascript
tensorflow
Try it out
piysocial-india.github.io
github.com
bit.ly | CoGate | A smart AI-based gate which will open if the person will be wearing the mask with a sanitizing pathway based on liquid sanitizing for humans and UV sanitization for electronic gadgets. | ['Saswat Samal', 'Sanket Sanjeeb Pattanaik'] | ['First Overall'] | ['arduino', 'html5', 'javascript', 'tensorflow'] | 45 |
10,335 | https://devpost.com/software/lazy-gymmer | Inspiration For exercising correctly
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Lazy Gymmer | Lazy Gymmer | Do exercise correctly | ['Abhinav Monga'] | [] | [] | 46 |
10,335 | https://devpost.com/software/reconcile | UI Design for Stories Page
UI Design for Discussions Page
UI Design for Opportunities Page
UI Design for Connect Page
Inspiration
Though Canada presents itself to be proudly multicultural and accepting, millions of people that make up our First Nations, Métis, and Inuk population continue to face the consequences of both historical
and
modern discrimination. Aboriginal communities face high suicide and family violence rates, as well as barriers to further education or training. These oppressions are seldom discussed in our education systems and Non-Aboriginal daily lives. With Reconcile, we hope to contribute to the well being of Canadian Natives, by bringing down these barriers.
What it does
Reconcile hopes to create a network of resources for FNMI and Non-Aboriginals to connect with opportunities and people. The Stories tab highlights FNMI related news articles, interviews/talks with FNMI peoples, and short stories in order to educate about current events as well as provide a platform for Aboriginal peoples to share their stories. The Discussion tab shows prompts related to recent Stories, to help think through how they apply to the users' lives and views. After submitting an answer, users can see other users' answers.(Short answer and/or Multiple choice) The Opportunities tab presents events and ways that users can get involved with FNMI reconciliation. The Connect tab is a hub of post-board style communities that highlight a specific topic (FNMI Music/Books/History, STEM, etc.). Users can talk about their favourites, ask for/provide help, share their creations, ask/answer questions, etc. to engage and connect with the FNMI community.
How I built it
The UI was designed using Balsamiq, and the demo was created in Android Studio.
Challenges I ran into
This was my first time using Android Studio, as well as my first hackathon. Almost everything about the project was a challenge and a new experience, but the hardest part for me was understanding how Android Studio works (layouts, views, etc.) and getting my head around app development in general. I also spent a lot of time trying to figure out and plan what needed to be done and learning how to do what I wanted compared to how much time I spent actually just working through it and figuring it out as I went along. I realized that was not a great idea because when I did start coding I had to kind of relearn everything as I applied it anyways, and didn't end up getting a lot done.
Accomplishments that I'm proud of
Honestly my biggest accomplishment was joining and going through with this hackathon. I'd learnt javascript before through Codecademy but never actually used it in an app or large(r) project.
What I learned
I always saw programming as something that I needed to have someone else teach me/guide me through, and that I needed to go into a project knowing how to do everything. I learned that that's not the case and that things are probably not going to work right away. I also knew programming was hard, but learnt that there's so much more to it than what I had thought (for starters, I didn't even know _ where_ to write code, and stumbled upon Android Studio, I had no idea about frontend vs backend, SDKs, APIs, there are still so many things I'm clueless about).
What's next for Reconcile
I would like to finish this project, or at least finish it enough so that it looks the way I want it to/have functional buttons and UX. I don't have really any knowledge of backend or things like storing information and stuff, so I'd like to learn and be able to make this an actual thing maybe? I would like to try things other than Android Studio, because I'm not a big fan of it.
Built With
android-studio
javascript
Try it out
github.com | Reconcile | How can YOU make an impact on the lives of FNMI in Canada? Everyone in the country can contribute to FNMI reconciliation. Use Reconcile to discover and share ways to get involved. | ['Sornali Banik'] | [] | ['android-studio', 'javascript'] | 47 |
10,335 | https://devpost.com/software/college-search-hupb86 | Inspiration
What it does
How I built it
ChallengeTests I ran into
Accomplishments that I'm proud of
What I learned
What's next for
Built With
hipo
html5
javascript
jquery | Test | Test | [] | [] | ['hipo', 'html5', 'javascript', 'jquery'] | 48 |
10,335 | https://devpost.com/software/beach-buddy | Main Loading Screen on Beach Buddy
Most popular beaches rated by Beach Buddy
Top 4 beaches near Fremont, CA
Beach Buddy Logo
Inspiration
Due to the current situation in the world, it is very difficult for people to even dare to step foot outside, let alone go to the beach. Even if people desire to go to the beach, the lack of a solid plan including food options, lodging, etc all contribute to the lack of enjoyment on some of these beach trips.
What it does
Beach Buddy takes in your address, zip code, or city name and scours the internet for the top 5 beaches near you, based on their beach rating. This beach rating is uniquely calculated with our novel machine learning algorithm, built on PyTorch. This algorithm takes into account several factors:
Crowding at the beaches (important for maintaining social distancing)
Weather/ Temperature (so you don’t have to raincheck)
Distance from your inputted location to the beach (so you don't have to travel too far)
Nearby (within 1 mile) food options to the beach (because we know you get hungry)
Local lodging options (if the beach is too amazing to take in for one day, why not stay in a hotel and explore the beach again the next day)
Using these 5 main factors, and several other small components, Beach Buddy generates a rating out of 10 to recommend you the perfect beach for your next trip.
How I built it
Before this project, I was still getting introduced to the idea of creating a project. This project further developed my skills in the end-to-end programming pipeline. I started by first mapping out what I had to do:
Build a basic Flask application
Research and understand which factors go into deciding/planning a trip to the beach
Find APIs/modules to get data about these various factors
Create and train a machine learning model that optimizes variables listed above
Portray all results in a pleasant manner on Flask application
Add home page, aesthetic images, and details page that allows users to look at more details about each beach
Add review-based content, so that people can add reviews for each beach and recommend to their friends on social media platforms
I followed this process thoroughly and used various Google Cloud Services to perform data/request collection. I also used various APIs including OpenWeatherAPI, WaveTide from NOAA, and various others.
I trained my machine learning model on PyTorch, which I was completely new to prior to this project.
Originally, I had meant for Beach Buddy to be an IOS/Android application, but I was not very familiar with Flutter. Still, I was able to make some progress and created a basic visual interface that I will definitely build upon in the next few days.
I also learned the importance of using various REST APIs including Coastal CA and various location-based npm packages.
Challenges I ran into
I was very new to the core fundamentals of three very important parts of my project:
Flutter (Xcode/Android-based applications)
Flask (for running my python backend)
PyTorch (for training machine learning models)
I often ran into various errors, but my inspiration for this project motivated me to keep going. I often consulted YouTube videos about these topics and StackOverflow forums.
Accomplishments that I'm proud of
This project is nothing like one I’ve done before. I was very new to the use of Flask, Flutter, and PyTorch but learning the main fundamentals of each has really made me proud and has encouraged me to learn more about these various softwares.
I am proud that I completed this project, which has several components, all by myself within the span of hours.
What I learned
I fully learned the end to end programming pipeline of sorts. In particular, I learned the ins and outs of the various APIs I worked with and understanding how to train models on PyTorch. I also built up a strong intuition on using both Flutter and Flask.
What's next for Beach Buddy
There is a lot in store for Beach Buddy, as can be seen in the video demonstration. We have yet to fully deploy the Flask application and will be finishing that up soon by deploying onto Google Cloud. Also, as I have learned more about Flutter and the Dart language used in it, I look forward to creating a similar interface like the Flask application onto an IOS/Android platform for millions of people to use throughout the world.
As my previous project relied heavily on Facebook Messenger, I thought to brush up my skills in that domain by creating a Beach Buddy Facebook chatbot, so that people can quickly converse with a bot, rather than doing a website search (although using our web application would definitely provide more information).
I will continue posting updates to this submission, so keep an eye out for more about Beach Buddy!
Built With
flask
flutter
ios
node.js
python
pytorch
xcode
Try it out
docs.google.com | Beach Buddy | Let's uncover the best beaches near you | ['Viren Khandal'] | [] | ['flask', 'flutter', 'ios', 'node.js', 'python', 'pytorch', 'xcode'] | 49 |
10,335 | https://devpost.com/software/csm-connect | Inspiration
From our experiences, we noticed the lack of support from our university for stressed computer science students. We wanted to help students feel more comfortable in times of stress through 1-1 mentorship.
What it does
Students can sign up for video call session with mentors for open discussions about how they are feeling and any questions they have about tech courses. This is for the mentor to help them alleviate stress and provide insightful feedback for the student which can help them in their future career goals.
How I built it
We used Django as our web framework to build the web application. It is currently hosted on AWS and we used Heroku.
Challenges
I ran into Storage for the website (we need more money for larger storage space because we ran out on aws). We also had issues with adding new features to the product such as sign ups, profile updates and building a calendar.
Accomplishments that I'm proud of
I am proud of creating this platform to address mental health in the tech place because it is underrated. I am also so proud that we have a functioning website with the UI designed on Figma.
What I learned
I learned about UI and frontend development. I also have been doing research on mental health for tech students and realized this is a marketable idea with a large audience and a need for it in the community.
What's next for CSM Connect
We plan to expand our website by adding more features, doing beta testing, market research and then releasing it to our target audience. We also plan to propose our idea to universities so they can incorporate it into their department/system.
Built With
amazon-web-services
css3
django
figma
heroku
html5
javascript
postgresql
python
react
Try it out
csmconnect.herokuapp.com
www.figma.com | CSM Connect | This product is for computer science students undergoing stress from their tech courses. By pairing them up with experienced mentors, we can help them feel more calm and improve mental health. | ['Jhinuk Barman'] | [] | ['amazon-web-services', 'css3', 'django', 'figma', 'heroku', 'html5', 'javascript', 'postgresql', 'python', 'react'] | 50 |
10,335 | https://devpost.com/software/demo-submission-zypub4 | Inspiration
asdf
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for Demo Submission
Built With
echo
java
python | Demo Submission | Blah blah blah | ['An Doan', 'Gary Tou', 'synHacks Team'] | [] | ['echo', 'java', 'python'] | 51 |
10,335 | https://devpost.com/software/covidcommunicate | Login Page
Diary Feature
Publishing a Post
Home Page
Inspiration
During this difficult lockdown period, we hear about a lot of people suffering from mental health issues. This is because people aren't able to interact with others like they used to, and as a result, this leads to loneliness, anxiety, depression, etc. Solving this problem was my source of inspiration for the CovidCommunicate application.
What it does
It is an interactive platform that allows users to share how they're feeling, connect with others, and discuss their problems. Users can view others' posts, comment on posts, and even share their own posts. If users don't prefer being so open, the application also has a diary feature which lets users log their experiences and feelings.
How I built it
For the frontend work, I used HTML5, JavaScript, CSS3, and a few other libraries like Bootstrap4, JQuery, and SlickJS. The backend work was done in python using the flask framework.
What I learned
This was my first hackathon and it really taught me to program under pressure, something which I hadn't done before.
Built With
bootstrap
css3
flask
html5
javascript
python
slick-js
Try it out
drive.google.com | CovidCommunicate | An interactive platform that allows users to communicate their problems and emotions during the difficult lockdown period. | ['sidharth-04 Roy'] | [] | ['bootstrap', 'css3', 'flask', 'html5', 'javascript', 'python', 'slick-js'] | 52 |
10,335 | https://devpost.com/software/secure-your-space-npga7z | just wanting to clarify that we have submitted google drive videos which are at the bottom of the devpost in the try it out section
Inspiration
As we all know coronavirus is a fatal problem in today's society causing many deaths and sicknesses all around the world. As covid-19 keeps increasing, more and more people are becoming ill, but there are also more deaths happening due to an indirect factor: depression. For some, life has been a hardship now. People are unable to go outside, some are fired from their jobs, and others are just are unable to cope with the stress and anxiety from the lockdown at home. These are all general factors that lead to the coronavirus.
So far, 15.3 MILLION PEOPLE HAVE BEEN CONFIRMED TO HAVE THE CORONAVIRUS, AND 624,000 PEOPLE HAVE DIED FROM IT.
AS FOR DEPRESSION, studies have shown that 1 OUT OF EVERY 113 people will get depression in their lifetime.
In 2016 alone, there were over 16.2 million people affected by the coronavirus, meaning 5% OF THE PEOPLE IN THE USA DURING 2016 HAD DEPRESSION SYMPTOMS. 6.7% of all adults also have depression symptoms.
What it does
To treat all this outbreak going on, I decided to make a webapp and app that is able to help everyone no matter where they live during these tough times. My project has three parts. First there is the social distancing app, that uses api's to make sure everyone is social distancing. If you arent social distancing you will be alerted. Then I made a free coronavirus quiz. It is an animated form which evaluates which symptoms of coronavirus you show and gives additional information and testing sites if needed. The last part is an algorithm that is able to see if you show symptoms of depression or not. The algorithm analyzes your typing speed and connotations of the words you type, and uses regression to find a pattern between them
How I built it
I used flask, html, css, swift ui, swift, python
Challenges I ran into
As a beginner making my own website from scratch was extremely hard due to the fact that I have only used templates before. I also didnt know what was regression or any of the other important machine learning type concepts that I used for this project.
Accomplishments that I'm proud of
I'm proud of learning regression, and somehow being able to complete this project on time! This was my first time using swift ui and I am very proud of that.
What I learned
I learned swift, swift ui, flask in depth, and html and css in depth to make a website. I also learned simple machine learning concepts like panda dataframes, and linear regression
What's next for Secure Your Space
I want to publish my app on the app store, and also make the depression symptom analyzer voice recognition related so there might be more accurate results.
Built With
api
css3
flask
html5
map
pandas
python
Try it out
drive.google.com
github.com | Secure your Space | Empowering safety for all generations all around the world | [] | [] | ['api', 'css3', 'flask', 'html5', 'map', 'pandas', 'python'] | 53 |
10,335 | https://devpost.com/software/again-vui0w1 | Inspiration
Few days before the start of the quarantine in Morocco, we were walking down the street and we saw a homeless guy trying to find food. Going back home, we were wondering what can this guy do if the quarantine gets imposed on us, Moroccans. A few days later, that was exactly what happened: we were quarantined. Thinking about that guy we saw the other day, we started brainstorming solutions that we can build as computer science passionates to make him and many others in the same situation as he finds a shelter especially during this tough time when they can be easily infected by the virus, as likely as easily spreading it. After seeing Covidathon, we believed that this is our chance to make our solution reach more people and to take the first step in making an impact.
What it does
Again is a solution that aims at securing shelter for homeless people during the lockdown by matching associations and organizations that deal with homeless people and house donators.
The solution also creates jobs for people who have lost their jobs by being applications' reviewers (more details about this below).
To secure shelter for homeless people, the application allows users to create accounts as an association, a house owner, or an applications' reviewer. All of the different types of users enter useful information about themselves when registering (details about the registration information required from each type can be found on the demo site):
As a house owner: anyone who possesses a house or multiple houses can donate them via the application by filling a house donating application. The application asks for information about the house/s that the user would like to donate. This information includes the location of the house, the area, but most importantly a document proving that the user owns that house. The purpose of this proof is to reduce the wasted time after matching an association with a user that does not really possess the house. This proof document will be processed by an AI system that will either validate it or not. If the document is validated, it will be available to applications' reviewers to match it with an association. If not, the donor’s application will be withdrawn. After the donated houses have been matched with an association or more associations (if there are many houses that a lot of associations can use), the contact of the donor is given to the associations so that they coordinate to finalize the donation process.
As an association: after registering in the application, associations can submit applications asking for matching with a donor. An approximate number of homeless people who will benefit from the donation should be specified in the application. It is then the job of applications' reviewers to review the application and decide on a match with a donor.
As an application reviewer: applications’ reviewers are people recruited through the application in order to review the associations’ applications and match them to house/s donors. To be an applications' reviewer, one must apply to the job through the website (applications are available in case of need when the amount of applications is too much). Applicants must provide their personal information, but most importantly, proof of losing their job because of the pandemic. This proof can be of any kind: a screenshot of an email of firing (the email should be forwarded later to make sure it comes from a recruiter, a document..). This proof of losing a job, plus the first-come, first-served basis, and the description of the need in the application are the factors that the admins are going to rely on when assessing applications. Each applications' reviewer will get associations’ applications on a weekly basis. Their job is to assess the need for associations and match them with house donors in the same locations. They also have to distribute the houses in an optimal way taking the need and the impact into consideration. Applications reviewers get paid from donations to the web application. These donations have nothing to do with the house/s donations, they are monetary donations that can be done through the web application to a specific bank account for this purpose. Anyone can donate including people not registered under any type in the application. More on how application reviewers get paid in the section below.
Payment Policy
Applications reviewers will get paid from donations. Since donations are uncontrollable, our team came up with an adequate solution. Applications reviewers will get a token for each application reviewed and thus an association matched with a donor. The value of a token changes on a weekly basis depending on the donations received. Here is a hypothetical scenario: we have 3 applications' reviewers who have reviewed 10 applications each, this means that each applicant has earned 10 tokens, making 30 tokens in total. The amount of donations received in this week is 300 $, implying that a token is worth 10 $. In this case, each reviewer will receive 100$ for this week. However, this method is not good if the amount of donations for a certain week is very high, let’s suppose that in the same previous scenario, the amount of donations is 30000 $, then a token will be worth 1000$. This also means that an applicant will earn 10000 $ for a single week. This might be not fair for other applicants who will join in the coming weeks, and when the donations will be very much lower. To solve this problem, we decided on having a maximum amount that a token cannot exceed so that if the amount of donations is high, we save it for later weeks.
Going back to our scenario, if we set the maximum worth of a token to be 20$, and having 30 tokens to issue, we will spend 600 $ and save 29400$ for upcoming weeks.
Important notes:
Before associations submit their applications, they have to agree to some terms and conditions. An important condition is that the associations should engage the beneficiaries in society by making them help either by doing a job, volunteering or helping other homeless people. The goal of the application is not only to find shelter for these people but to try to engage them in society especially during these tough times when we all have to unite.
Link to the document about using AI in Again:
[
https://docs.google.com/document/d/1RNNpGf3MIhp-lksVtGzXkH7Tb91Ilw4gRw7AJmu27bA/edit?usp=sharing
]
How we built it
To build our web app again, we (team members) divided the work into three parts:
The front-end part (Mohamed Moumou): This part consisted of designing each web page in the web app. The story of AGAIN and all the scripts in the web app. Also, building the actual web app front end using the react framework.
The back-end part (Ouissal Moumou): This part consisted of designing the database and building the actual back-end of our web app using the express.js framework, MongoDB(for the database), and APIs.
Deployment (Ouissal Moumou & Mohamed Moumou): We used Heroku to deploy either the back-end and the front-end app.
Accomplishments that we're proud of
The team of Again is very proud that he is thinking about homeless people when everyone is thinking about the problems of the homeful ones. It does not mean that homeful people’s problems are not urgent, but it means that there is a huge part of society that struggled and now struggling more because of the COVID-19 outbreak that needs urgent help and re-integration. Another accomplishment we are proud of is that our idea is providing jobs for people losing their jobs.
What's next for Again
1- Implementing AI solutions in our App,
2- Adapting the services offered by the app to every country's laws,
3- Make our web app available in many languages (Arabic, French...).
Helpful hints about running the application in our demo site:
http://againproject.herokuapp.com/
If the page returns an error message from Heroku, just refresh the page and it will work.
Here are some login credentials for quick testing of the application:
For an association: **
email:
tasnimelfallah@gmail.com
password: Tasnim123
*
For a house/s donator: *
email:
mohamedjalil@gmail.com
password: yay yay
*
For an application reviewer: *
email:
badr@again.com
password: Badr123
**The information and metrics shown on our app are fictional.
Built With
heroku
javascript
mongodb
node.js
react
rest-apis
uikits
Try it out
againproject.herokuapp.com
againbackend.herokuapp.com
github.com
github.com
docs.google.com | Again | Again is a solution that aims at securing a shelter for homeless people during the lockdown by matching associations and organizations that deal with homeless people and house donators. | ['Mohamed MOUMOU', 'Ouissal Moumou'] | ['The Wolfram Award'] | ['heroku', 'javascript', 'mongodb', 'node.js', 'react', 'rest-apis', 'uikits'] | 54 |
10,336 | https://devpost.com/software/codered-efkod5 | Splash Page
List of Requests
Submitting a Request
Code Word Notification
Learn More Page
How to Stay Safe Usting codeRED
Inspiration
Gender equality is something every single one of our team members are passionate about, especially in the technology industry where women are a minority. Once we saw gender equality as one of the prompts for this hackathon, we knew this was
our chance to empower women
. We want to feel comfortable in our skin, and so we sought to unite women through something we can all have in common - our period. By providing menstruation resources, our app aims to support underrepresented groups, including not just women, but also transgender men and those experiencing homelessness.
What it does
codeRED is an Android app that allows users to request or provide sanitary products.
At some point, we have all been in situations where we forget our period product essentials, not knowing where to get them or being too embarrassed to ask. Through kind strangers, users can
anonymously request for a sanitary product
(pads, tampons) or painkillers in these situations. This app also helps transgender men who are afraid to ask and the countless homeless individuals experiencing period poverty (the lack of basic female hygiene products).
By filling out a request form in the app, the
user can easily ask for a product, and set a time, location, and an optional message for receiving it.
This can be done completely anonymously and the user can even request a contactless exchange, such as leaving a tampon under the third stall of a Walmart washroom. Although we want to implement anonymity, we do recognize that
safety
is incredibly important. If the user chooses to meet up, there is a
randomly generated codeword
which is used to confirm the identity of the other user. If the person seems potentially dangerous, the user can ignore the codeword and walk away without consequence.
To help others when they are in need, there is a
‘Requests Near You'
screen, which displays pending requests sent within the past 30 minutes, and that are within a one-kilometre radius. It is sorted by distance and time, and
app notifications
are sent to users within 200m, whenever a new request is added. If a user accepts the request, the sender will be notified and the request will be marked as completed!
Along with the providing and requesting of period products, codeRED has a “Learn” page providing
educational resources
on choosing sanitary products, menstrual health, and how to stay safe while using codeRED - in hopes of
empowering
women, transmen, and those suffering from homelessness to take control of their own health as well as
fostering a supportive community.
How we built it
Three of our team members had
ZERO
experience in app development. We had never even heard of XML. We were only familiar with building websites.
We took this hackathon as an opportunity to learn
and that’s what we did! All of Friday was spent downloading Android Studio, reading documentation and debugging Gradle errors. We thought there was no way we would be able to finish our app with progress going so slowly. By the end of the day we had restarted once, and our progress was just the layout of our app in Figma and a bottom navigation bar that didn't function. Little did we know such
slow progress did not mean we weren’t improving.
The next day, something just clicked. We were using all of the knowledge we had read up on from the previous day. We solved one error after the other and by the afternoon, we had most of our Figma designs coded in Android Studio. At the same time, we had connected our app to Firebase to store the requests sent in our app, as well as to read data stored in the cloud, to be shared among users. Finally, we connected the front-end and back-end using Java and the help of handy built-in Android libraries.
Building this app took a lot of
patience and support from one another
. Sometimes we would be spending upwards of
3 hours
on one recurring error. That’s when another teammate would step in with encouragement and a new perspective on the problem! Through the power of
teamwork
, we assembled and created our first app this weekend!
Challenges we ran into
To be honest, the whole journey towards building an app was a challenge. Learning a completely new skill set in such a limited time period was quite the feat. However, it’s something we are all extremely *
proud to say that we have overcome! *
Some more specific features that were difficult to resolve were:
Sending out notifications to users within a specific radius:
After some intense research and tutorial-watching, we tried to implement in-app notifications. At first, it only worked for Android versions below 8 and adjustments had to be made to make it work for all phones. Then, we attached it to Firebase to produce customized notification messages for users within a certain distance.
Making fragments for the bottom navigation bar:
We used the bottom navigation bar template in Android Studio however the items all showed the same screen. Much like the notifications, we looked through a lot of documentation and watched a lot of Youtube tutorials. We kept running into errors trying to make fragments in order for each item to show different screens. Finally, after hours and multiple team members working on this, we were able to solve the errors.
Making cards to enhance user experience:
Having never experimented with Android development before, learning how to make use of the libraries and learning all the styling and hierarchy properties available was a challenge. We wanted to use cards to easily group the information for users to quickly identify what requests they could respond to, along with adding some visual interest to the overall design of the page. With a lot of documentation reading and testing, we were able to slowly but surely learn how to go from just creating the cards to making them scrollable and styled with fades, shadows and gradients.
Filtering requests based on distance and time:
Since all app data was stored in the Firebase Realtime Database, we needed to filter out irrelevant entries to avoid crowding the list of nearby requests. Using a custom Request Java object, we were able to store and retrieve information to be displayed in the UI. These properties also allowed us to filter and sort the entries by time, distance, and status. Looking back, it was also particularly tricky to figure out how to store and parse unconventional data types in a compatible format. Furthermore, we didn’t want to force users to authenticate themselves to use the app, and so we had to use a combination of local phone storage and cloud storage to make our features function properly. For instance, the request ID was stored in local storage to ensure the user wouldn’t receive notifications from their own changes.
Accomplishments that we’re proud of
We’re extremely proud of all the challenges we've overcome, especially considering our limited experience in Android Studio. It was a steep learning curve, but that makes it feels even more rewarding to try our finished app. In particular, we loved:
The UI/UX design is one of the best features of our app:
We created multiple prototypes in
Figma
, testing different colour schemes,
user flows and layouts
to select the perfect design that would provide the best user experience! These features took a lot of time, dedication and passion to put together, which is why we’re extremely proud of it.
The bond we’ve built as a team:
This is our second hackathon together as a team and this one was two times longer than the previous one. Designing and coding while group calling for the majority of the 48 hours, we have found creative ways to keep each other awake and motivated. At 1 am we had a
stuffie show and tell.
We’ve gotten to know and understand each other on a much deeper level!
What we’ve learned
How to make an Android app and code in XML
are some of the big skills we’ve learned. On top of that a valuable lesson was that learning is a process that takes
patience and dedication.
The first day of the hackathon we couldn’t see any progress but in reality we made what you could call a breakthrough :).
When learning, you can’t see the results right away like when you run code.
What's next for codeRED?
We would like to implement more
security features
such as having the option to
link accounts to phone numbers.
This would help with
protecting recipients and deliverers
from repeat offenders who may take advantage of the system, allowing for bans and a rating system.
To encourage more deliverers to take action, we could add incentives to contribute as well, such as a
rewards system.
This rewards system could be
partnered up with companies
such as Always, Tampax, or non-profits such as FemCare, who we can work with to promote equality.
Furthermore, we would like to
publish the app
to understand the process and also to get feedback from the public. We could then identify how to improve user features and code for future reference. We would also like to add additional educational content (ex. How to take care of yourself while menstruating).
With
codeRED
, we were inspired to serve the same basic sanitary needs to everyone, including social, sexual, and racial minorities. In the future, we might hope to
monetize
the app through ads, in which all of the
revenue would be donated to organizations helping to combat period poverty worldwide.
Built With
adobe-illustrator
android-studio
figma
firebase
java
photoshop
xml
Try it out
github.com | codeRED | You notice people pointing fingers nearby around you. You look about, but see nothing of interest. Hesitantly you look down and your white shorts are smeared with red. Could this day get any worse? | ['Kailey Chen', 'Bonnie Chin', 'Grace Gao'] | ['First Overall'] | ['adobe-illustrator', 'android-studio', 'figma', 'firebase', 'java', 'photoshop', 'xml'] | 0 |
10,336 | https://devpost.com/software/alli | ALLI's homepage on Slack
ALLI's toxicity metrics on homepage
ALLI's auto response to pet names
some of ALLI's slash commands
ALLI's report modal
Inspiration
We were so excited for this hackathon that we actually read all the discord messages pertaining to it, which we don't usually do. As we did, we noticed that there were a lot of comments suggesting that female and nonbinary hackathons were sexist towards men, among other things. Wondering why more people didn't stand up against sexist statements, we figured that there were probably two main causes: 1) People are afraid of repercussions or being shut down, or 2) People don't know what to say. We also know that what's present in a small discord channel is a much larger problem in the workplace, especially for womxn in tech. That got us thinking about tech solutions we could build to tackle this problem.
We created ALLI to counter workplace micro aggressions against female employees. According to a 2017 study by the Pew Research Center, 42% of working women in the United States say they have faced sex discrimination in the workplace. Women face all sorts of obstacles—they may be passed over for important assignments or treated as if they’re less competent than their male counterparts. Women are also subject to general slights, like misogynistic language and comments. It is oftentimes difficult to speak up about these issues, especially if women are a minority in the space. And since only 20% of computer science professionals are women, computer science spaces can oftentimes feel unwelcoming to women coders. We have decided to tackle this problem in online spaces. Specifically, we are choosing to address the issue of sexism in virtual workspaces using Slack. Many companies, classes, and organizations use Slack as a method of communication, so we decided to create a Slack bot that tackles sexism using automatic and anonymous reporting.
This is especially important since people are working at home during the pandemic—many people's work interactions are now entirely online, so this is a unique opportunity to create virtual equity tools and make life during this chaotic time a little bit happier.
What it does
ALLI has many features to identify and combat sexist speech including:
slash commands
to allow users to anonymously call out 10 different types of sexist speech:
general
pet names
mansplaining
ignoring women's ideas
gender stereotypes
sexist language
objectification
denial of sexism
double standards regarding gender
blatant / extreme
For each slash command, Alli sends an anonymous message in the channel commenting on why that type of sexist language is harmful. This alleviates the fear of being shut down or retaliated against, and encourages people to start speaking up more.
auto callouts
for common pet names and derogatory language monitor language for sexist implications, and send automatic messages when triggered.
These automatic messages relieve some of the burden to call out speech from those on the receiving end of sexist comments. Their automated nature also encourages people to stop using such language to prevent getting frequent critical messages.
support buttons
allow users to anonymously support messages sent by Alli in the channel. This could be either an auto message prompted by common pet names or derogatory language, or a message called by a user via a backslash command.
The ability to show anonymous support for a message makes people feel confident in calling out sexist speech and encourages them to be more forward allies in the future, as well as makes those on the receiving end of such speech feel supported by their coworkers.
toxicity metrics
on the app home page gives metrics of callout and support frequencies, which can be used to estimate of how toxic a workplace is.
These metrics include:
Current slash tally:
This metric represents how many times one of Alli's slash commands have been called by a user in this workspace.
Current auto tally:
This metric represents how many times the language used by users in this workspace has triggered an auto response from Alli.
Current report tally:
This metric represents how many messages in this workspace have been specifically reported as being sexist.
Current support tally:
This metric represents how many times someone has upvoted one of Alli's messages highlighting problematic behaviors
report shortcuts
give a user the ability to flag a specific message as being sexist and take user-determined action to hold them accountable
This action was largely not fleshed out, due to needing to redirect our energies when we had technical difficulties (see below for details). The ideal functionality allows a user to first classify the selected message by type of sexism comment, then automatically add to report tally and dm the sexist speaker that their message was flagged and why that type of speech is bad and ping the workspace moderator, then finally let the user choose a follow up action from engaging directly via dm or sending them an anonymous dm via Alli or setting up the user in a chat with a moderator for more a more serious conversation.
Process
Our process was fairly straightforward:
Brainstorm and outline
Implement
(Usually) Hit a bug/technical difficulty
Problem solve
REPEAT!
And collaboration and google-searching and docs-reading the whole way through.
Challenges
We encountered a pretty significant challenge halfway through the hackathon. We had been developing our Slack app on
Glitch
, which made it easy to create and run a Slack app. However, when we were almost done with the project, Glitch stopped working. The website reported glitches that kept projects from running properly. So, with our remaining time, we were forced to move the app over to Github and Heroku. We encountered our fair share of issues bringing the app over to run on Heroku, but we're happy with the transition because it has made the app more of a standalone project that can easily be shared on the Slack App Directory.
Accomplishments
We accomplished a lot, and are very proud of how far we have come.
Worked with JS for the first time, and demoed for the first time (Sarah)
Worked with ML for the first time (Anna)
Worked with slack apps for the first time
Implemented slash commands
Implemented automatic responses to certain text
Implemented anonymous tallied buttons to show solidarity against sexist speech
Implemented tallies of callouts and support
Implemented an an Home page
Successfully deployed app to Heroku (after pivoting due to Glitch malfunction)
What we learned
We learned A TON this weekend.
This is Sarah's first time demoing at a hackathon, so she learned a lot about building a meaningful project on a crunched timeline. She had also never worked with JavaScript before this project, and since the majority of the project was in JavaScript she learned a great deal about the use of that language. Anna also learned new things about JavaScript, but also learned a ton about machine learning, which she hadn't worked with previously.
Both of us had never worked with Bolt or building Slack apps, so this project was set up to push us. We learned how to work with Glitch, and how to theoretically integrate ML into our app. Due to many technical issues, especially on the second day of hacking, we also learned how to pivot. We were planning on integrating many more features, including machine learning algorithms to spot more subtle forms of sexism, but when Glitch stopped working for our project we had to refocus our energies into deploying our app with Heroku, which again neither of us had experience with. As a result, we didn't get to incorporate ML into this version--check back for the next!--and we also didn't get to flesh out a lot of the functionality of the report shortcut.
This project pushed us both way out of our comfort zones, but we are incredibly proud of the result. Along the way, we both learned many new technologies, refined our adaptability and problem-solving skills, and took to heart the value of an amazing hackathon buddy!
The future of ALLI
We plan to continue this project once the hackathon ends, and we hope to deploy ALLI to the Slack App Directory. To do this, we will more fully implement all features in the reports, as well as make a more robust metric of toxicity based on research and models. Ideally, ALLI could eventually be used to set and track goals about workplace language.
In addition, we are planning to incorporate machine learning to make ALLI's automatic reporting more powerful. This weekend we learned how to use TensorFlow.js and we located a
data set
for sexist workplace statements—we hope to use both of these in the future to create an AI component for ALLI that can identify sexist statements in context.
We also want to expand ALLI to respond to problematic speech beyond sexism. We hope to make ALLI more intersectional by adding functionality to combat workplace racism, homophobia, ableism, xenophobia, and more.
All commands and responses
/alli-general
Something in this conversation doesn't sound right... Let's be thoughtful and respectful with our words.
/alli-petname
Calling a woman by a pet name such as "honey" or "sweetheart" may be well intentioned, but really undermines her authority. Let's address each other by our preferred names.
/alli-mansplain
The concept of "mansplaining" is when a man over-explains a concept to a woman, as if she is of lesser intelligence or mental capacity. Let's respect one another's intellect and individual value.
/alli-ignore
Ignoring a woman's voice or ideas is detrimental to her individually and to the team at large. Let's value everyone's contributions equally.
/alli-stereotype
Playing into gender stereotypes fosters an unhealthy environment for people of all genders. Let's empower everyone to reach their highest potential.
/alli-language
Using sexist language makes many people uncomfortable and perpetuates a system that doesn't allow women to reach their highest potential. Let's be intentional and respectful with our words.
/alli-objectification
Women are not objects, and it makes them very uncomfortable to be treated in ways that reduce them to being just a body. Let's recognize the fullness of everyone's being and be careful with the implications of our statements.
/alli-denial
Denying the existence of sexism only serves to more deeply ingrain and perpetuate it. Let's listen and accept the experiences of others, even if they are different from our own.
/alli-doublestandard
Placing a double standard on women's behavior is harmful to their well being and to the productivity of the workplace as a whole. Let's set our expectations and judgments equally.
/alli-blatant
In this workplace we value and empower people of all genders equally. We do not tolerate sexist comments. Please evaluate your behavior and expect a follow-up conversation.
Built With
bolt
glitch
heroku
javascript
node.js
slack
Try it out
github.com | ALLI | Your ally in identifying and stopping sexist speech in the workplace. | ['Sarah Bloom', 'Anna Mistele'] | ['Second Overall'] | ['bolt', 'glitch', 'heroku', 'javascript', 'node.js', 'slack'] | 1 |
10,336 | https://devpost.com/software/inhunt-vsylmt | Inspiration
I created InHunt because I noticed people were struggling to find ways to be entertained at home and connect with friends during quarantine. I wanted to solve this issue with a fun and unique game that encourages friends and family to remain active in an exciting and competitive way.
What it does
InHunt is a virtual scavenger hunt where players can build a hunt, invite team members, choose a duration for the game, and solve hints that lead to objects around your house to accrue points. The team that gets the most points in the allotted time wins.
Players would need to solve a riddle and photograph the answer/object. If the photograph contains the correct object, the player gets the points.
For example, if the hint is "What has a neck, no head yet still wears a cap?" the player would need to determine that the answer is a bottle and photograph a bottle. Then the photograph is analyzed to see if the bottle is there. The player that gets all the objects and gets the full points wins and the game ends. Otherwise, the game ends when the allotted time finishes, and the team with the most points wins.
How I built it
InHunt was created in Android Studio, and animations were made possible with the Lottie Animation library. The games are saved as documents in DocumentDB. Games contain the teams, individual players, and points gained in one document. The mock data seen in the video is from Gravatar.
Challenges I ran into
I didn’t have any knowledge of DocumentDB prior to this hackathon, so storing, querying, and indexing the JSON data was a new experience for me.
Accomplishments that I'm proud of
It was extremely gratifying to build a game from scratch. I’m proud that I was able to learn DocumentDB despite the time crunch. I’m also proud that I was able to stick with using Android Studio despite struggling with using its visual tools to lay out elements on a screen (writing raw XML files isn’t the most fun!).
What I learned
Increased comfort using Android Studio and the Lottie Animation Library
Experience with DocumentDB
Experience with UI design
What's next for InHunt
I would love to get this in front of more users, and it would be worth the effort to add more features. An additional feature I am looking into is allowing a player the ability to add goals to the app periodically. For example, if the player wants to get in 20-30 minutes of exercise that day, the app would make sure the person is extra active during the scavenger hunt by making sure he/she moves around to various parts of the house to find the objects (the hunt for an object in the kitchen, followed by the hunt for an object in your bedroom, etc). I would also like to work on automating the Gamemaster by pulling from a database of common household items for each hunt.
Built With
android-studio
document-db
java
lottie | InHunt | InHunt - A virtual scavenger hunt | ['Riya Danait'] | ['Third Overall'] | ['android-studio', 'document-db', 'java', 'lottie'] | 2 |
10,336 | https://devpost.com/software/inspiration-1phil8 | All of the UI
UI
Splash Page
Home Page
Female Page
Register Page
Card
Inspiration
Young girls often have less opportunities in science, technology, engineering, and math (STEM). Being a young woman in high school myself, I feel the need to empower other young women to pursue their interests in STEM or to spur their interests in STEM because diversity is important in the STEM field. The evident negative stereotypes about women in STEM and the necessity to disprove them inspired me to create my iOS app called Inspiration. Through my app, I wanted young girls to be able to explore STEM careers in an interactive way.
What it does
In order to combat the negative stereotypes of women in STEM, my app displays influential females in STEM and engaging activities to do in order to emulate their passions in STEM. My app uses machine learning to allow girls to be immersed in information regarding day to day objects and some of the famous women pioneers in their respective fields. Inspiration allows young girls to explore different STEM careers through simple objects.
To use the app, girls can use their camera to point their phone at an object and to take a picture of the object. Using machine learning and object detection/image labeling, the app detects what object is in the photo. It then displays relevant careers in STEM involving the object and prompts the user to view an influential woman in the same career. The app displays accomplishments of the influential woman as well as interactive activities that young girls can pursue to spark their interests in the same career. For example, a girl may take a picture of a computer and the app will suggest a career choice as a web developer or software engineer. Then the app may suggest Grace Hopper as the influential female and show coding activities such as an Hour of Code. The girls can save the influential female’s profile with the activities in order to come back to the activities in the future. At the home page, the girls can view the influential females that they saved. Everyday, the home page displays a new influential female for girls to learn about.
How I built it
The iOS app is built using Xcode and SwiftUI. For the front end, I designed all the UI using Sketch. For authentication, data persistence, and the machine learning API, I used Firebase as the back end for my app. The machine learning API uses the ML Kit Image Labeling’s base TensorFlow model in order to predict the objects in the photos.
Challenges I ran into
Because SwiftUI is relatively new, it was hard to find the documentation when I ran into problems. The first problem was switching between Views using SwiftUI. I had used Swift and ViewControllers before but I wasn’t well versed in using SwiftUI. To switch between views, I found a tutorial about using an ObservedState object. While it worked to switch between views, I could not figure out how to pass data between views. There were several resources but none of them used a ObservedState object to switch between views, so it was hard to figure out how to pass data while switching between views. After playing around for a bit, I used the ObservedState object in order to pass data between views.
My main problem in this project was using Xcode. I wanted to be able to run the demo on my phone, but my Xcode version and iOS version on my phone are incompatible. My phone is on iOS 13.5 but my Xcode target version is 13.4. In order to use my phone as the simulator, I either had to downgrade my phone or upgrade my Mac. Unfortunately, I could not jailbreak my phone to downgrade it and I ran out of storage on my Mac so I couldn’t update my Mac. This was a learning experience for me and I am quite disappointed that I could not run Inspiration on my phone. This also meant tailoring my project to the Mac’s iPhone simulator. The simulator doesn’t have a camera, but the main point of my app is to have girls take pictures of objects in order to explore different STEM careers. Thus, I couldn’t implement using the iPhone’s camera to take a picture and I adapted by using photos from my Photo Library. While this was a setback, I still integrated the machine learning image recognition into Inspiration, which ultimately worked out in my app.
Accomplishments that I'm proud of
I’m really proud that I finished this app alone and made it user friendly with a clean and intuitive UI. Two people reached out to me in the beginning of the hackathon to be my teammates, but they ended up going to a different team. Thus, I was left alone to complete an app by myself. I wasn’t sure if I could do it in the limited time but I am really proud that the app works and I persevered through the challenges I encountered. This was my first time using ML Kit in Firebase and I’m really glad it worked out.
What I learned
I learned how to develop an app using SwiftUI, Firebase, and ML Kit API. I also learned how to use the Photo Library instead of the camera feature when using the simulator instead of a real phone.
What's next for Inspiration
I hope to integrate more influential women into a database as well as implement web scraping in order to get an influential woman’s accomplishments. Instead of using the ML Kit API, I would like to build my own machine learning model tailored for STEM objects. Since the ML Kit base model only has classic items, I could use transfer learning and drop the last layer of the model to implement my own layer that will detect specific STEM objects such as different lab equipment and animals.
Built With
firebase
mlkit
sketch
swiftui
xcode
Try it out
github.com | Inspiration | Breaking barriers in STEM with object recognition and influential females | ['Rebecca Zhu'] | ['Happy at Home Hack presented by ADP'] | ['firebase', 'mlkit', 'sketch', 'swiftui', 'xcode'] | 3 |
10,336 | https://devpost.com/software/she-boss | Inspiration
There is no limit to what we, as women can accomplish. So it is the duty of every woman to support each other, empower each other, and help each other rise. At this time of the crisis, we believe that our small endeavour could support other women and help everyone stay safe and happy at their homes, while help them buy things they need.
What it does
She boss is a website, through which we can find women owned enterprises easily, connect new emerging enterprises with the buyers, by registering in our site, and help them find new products. So, any woman willing to start their business career could register at our site, sell their products, staying safe and happy at home. And every man or woman could purchase products what they desire,staying safe and happy at home as well. We believe in the happiness, satisfaction and comfort of people.
How we built it
Our website She Boss, is built on the Flask framework and hosted on Heroku servers.The entire code has been developed using Python programming language. The frontend is designed using HTML, CSS, and Bootstrap.
Challenges we ran into
Database crashing, hard to find business database, timezone difference of team members.
Accomplishments that we're proud of
We are proud of learning new skills, host a website, and could support women and connect people to purchase and sell business products and home made products as well, staying safe and happy at home, in the way we could.
What we learned
We learnt a lot new Front end and Backend development tools. Learnt how to handle different crashing errors. And 40% of businesses in US are women owned, and the statistics is rising, which we can be proud of.
What's next for She Boss
We could make a cleaner appearance for our website,more user friendly, and create a business login, where businesses can make a profile.
Built With
amazon-web-services
bootstrap
css
flask
heroku
html
jinja
os
postgresql
python
requests
sqlalchemy
Try it out
she-boss.herokuapp.com
github.com | She Boss | Find a women owned business to shop ! | ['Reshma Shaji', 'Ayesha Khalid', 'Shanice Smith'] | ['Best Gender Equality Hack'] | ['amazon-web-services', 'bootstrap', 'css', 'flask', 'heroku', 'html', 'jinja', 'os', 'postgresql', 'python', 'requests', 'sqlalchemy'] | 4 |
10,336 | https://devpost.com/software/sheworks | Meet sheworks!
Inspiration:
Using ideas from Melinda Gates’ book “Moment of Lift,” our team learned about the concept of unpaid domestic labor and how it has and continues to shape the lives of most women around the world.
Unpaid domestic labor refers to housework such as cleaning, the laundry, taking care of children, making food, and other jobs around the home that usually go unnoticed and uncompensated for. Women typically are put into these roles of carrying out unpaid domestic labor within families, taking an unreasonable amount of the burden for providing care to the family and the home. The more unpaid domestic labor a woman takes on to support her family, the more difficult it becomes for her to find time and energy to dedicate to growing and improving herself as a person (whether that be getting an education, finding a job, etc). Instead of overlooking this, what if we made something that could help track this unpaid labor each day?
What it does:
Sheworks is a web app that allows women to track their time spent on domestic labor through beautiful data visualizations. Sensors from an arduino detect when a person walks in and out of a room and track the amount of time a person spends doing household work, which is then transformed into clean graphs. Users can then share their activity with family members and hopefully receive help to even out the load of work. They can take time and reflect on their hard work, feeling empowered and appreciative of their own contributions and recognize the significance of how they spend their hours and energy each day.
How we built it:
Software
On the software side, we used React and Bootstrap to build our responsive website. We created our logo and graphics using Canva and embedded them into our site.
Hardware
On the Hardware side, we used arduino, python, and various sensors and fun hardware attachments.
We first tackled trying to make the light up LCD display that would interact with the user. Using the LCD display component as well as the membrane switch, we could communicate with the user several sets of readable instructions and could take in inputs such as their ID numbers that were utilized for the sheworks website app.
We then tackled the task of attaching both an ultrasonic sensor, and a PIR sensor to track both motion coming into and out of a room. Setting up the sensors about a foot apart, if the ultrasonic sensor was triggered first, we would know the person was entering the room. On the other hand, if the PIR sensor was triggered first, we would know the person started from inside the room, and was leaving. We only had these two sensors that could be used for tracking movement and people, so it was interesting to try and figure out how these components worked. An ultrasonic sensor is able to sense how close an object or person is using sonar, but a PIR sensor uses IR, the ambient amount radiated from the room or walls or a warm body like a person.
Trying to coordinate these two sensors to work together did prove a bit difficult at first; but we were able to get the timing right to properly sense these two movements for coming inside and outside. We used a passive buzzer to signal different sounds for when a person came into or out of the room we were tracking.
When a person comes into the room, the passive buzzer makes a sound, and it signals to the user of the sheworks sensor to enter an ID. By entering this ID it will trigger the timer, and the timer will only stop once the sensors can tell that the person has left the room. The values of the user ID and the timer are sent to save into a .csv file through the python pyserial library, which can then be put into our sheworks website app to track the progress of the domestic labor individuals have been around the home.
Challenges we ran into:
Making the data visualizations proved to be more difficult than previously thought; it took us a while to try and figure out how to connect the data sources from the .csv files directly into our website.
The sensors also were difficult to properly control at first with the need to use both in specific orders to track movement coming in and out of a room.
Accomplishments that we’re proud of:
We’re proud of creating our project in such a short period of time, complete with a clean user interface and a working hardware component.
What we learned:
We had a great time learning how to customize our website’s user interface and user experience with Bootstrap, develop data visualizations with Python, and track movement and people with sensors on an arduino!
What’s next:
We hope to implement a sign-up and login system so users can keep track of their data for a long period of time and share their activity with more loved ones!
Try it out!
https://gkim65.github.io/sheworks/
Built With
arduino
bootstrap
c++
canva
json
python
react
Try it out
github.com | sheworks | Track time spent on her day's hard work. | ['Grace Kim', 'Melanie Hsieh', 'Shirling Xu', 'Pamela Kim'] | ['Best Hardware Hack presented by Digi-Key'] | ['arduino', 'bootstrap', 'c++', 'canva', 'json', 'python', 'react'] | 5 |
10,336 | https://devpost.com/software/safespace-zmux0l | 1 - Home
2 - Unsafe
4 - Mark Unsafe
3 - Chat
5 - About
Safe Space
Safe Space is a portal for people who feel currently unsafe and are unable to contact anyone directly. It gives them the opportunity to talk to other people who feel unsafe to verify their status, and keep a log of their location.
Try It!
DOMAIN CHALLENGE: Safe Space is located at
http://ineedasafe.space
[i need a Safe Space]. Due to the domain being new, some DNS changes may not have yet propagated, so a sample is at
https://sohinik.github.io/safespace-github/index.html
.
To use safe space, first head over the the "unsafe" page. Then, enter in your personal information as well as a secret to verify your identity. The secret is not available publicly, and is what you can use to mark yourself as safe later. You can enter as much or as little information as you would like. Feel free to use the chat to speak to other people live, or fill out the unsafe page again to keep it updated of your location. Once you are safe, scroll down to the safe button and use your secret to remove your information from the "currently unsafe" table.
Inspiration
Last summer, I was living alone in an unfamiliar city for an internship, and decided to use local transportation and a train to visit my friend living an hour away. On the ride there, an unfamiliar and much larger man decided to sit next to me and started speaking to me. Out of societal obligation I somewhat responded, but he quickly became extremely crude and vulgar. I rode the bus to the end of the line, and although he initially mentioned his stop as much earlier, he ended up following me out of the bus and continued harassing me. It was only when I publicly called him out in front of some authorities that I was able to slip free. Given that at the time I was a smaller girl, barely 18, and by myself in an unfamiliar place without having told very many people exactly where I was, I remember being terrified, with my heart pounding, and wishing for anyone to talk to in order to ensure they knew about the situation. However, I wasn't able to immediately contact anyone. Since then, I've had some problems trusting public transportation when I am by myself, and I make sure to keep several people updated via paper trail about my location in similar situations.
That's why I decided to create Safe Space, for others in similar situations. A paper trail is better than no trail, so Safe Space allows people to log their location. Additionally, the chat feature allows them to talk to others, which is something that can be invaluable in feeling safer. I hope to use it in the feature whenever I am feeling safe, and I would like to expand it to improve it's UI/UX, add mobile features, add location features, and involve a more holistic record-keeping.
How It's Made
I used HTML, Javascript, and CSS for the frontend, and the backend is supported by Firebase. Additionally, I used Figma to wireframe, and Coolors to create the color palette.
Domain Challenge
ineedasafe.space
[using
https://sohinik.github.io/safespace/index.html
]
YouTube video
https://youtu.be/dCPauf5MhZw
Built With
css
figma
firebase
html
javascript
Try it out
github.com | Safe Space | safe space is a portal for people who feel currently unsafe and are unable to contact anyone directly. | ['Sohini Kar', 'Ishan Kar'] | ['Best Domain Name from Domain.com'] | ['css', 'figma', 'firebase', 'html', 'javascript'] | 6 |
10,336 | https://devpost.com/software/havemyback | Home page for organisation- no mentors added yet
Home page for organisation-shows the connected mentors and a search mentor button
Mentor search- mentor request sent
Home page for mentor- users can search for organisations to mentor here
Map to locate nearby organisations- different colored markers signify organisation categories
Map to locate nearby organisations- different colored markers signify organisation categories
Map Page- category choice
Map Page-when a location marker is clicked on the map, this page shows the organisation's profile
Mentor Profile- the user's experiences are shown here
Mentor Profile- the user can add new experiences to boost their profile and attract young entrepreneurs
Organisation profile- view to see the team members
Organisation profile- view to see the event listings
Awards Page- Shows the achievements and stats the user got during their time with HaveHerBack
Company sign up page
Mentor sign up page
Login page for mentor
Login page for organisation
App Icon View
Firebase-Firestore database
Firebase-authenticated users from sign up
GIF
Figma Demo
Inspiration
Thirty years ago, there were approximately 4 million women-owned businesses in the United States. Today, there are more than 11 million women-owned businesses – representing 39 percent of all firms. While this trend is moving in the right direction, women-owned businesses still grow at a slower rate and earn less revenue than male-owned firms. In fact, women entrepreneurs face persistent institutional barriers that make achieving financial parity a serious challenge with lasting consequences. The consequences of female entrepreneurs face on a day-to-day basis inspired us to develop a mentorship and collaboration platform for women.
While we were researching potential ideas about gender disparity, we found that only 14 percent of the Female Indian entrepreneurs are on LinkedIn. Despite India’s decent ranking for equality of economic participation and opportunity, 90% of the businesses run by women are microenterprises. Surprising isn’t it? Unfortunately, women form 68% of India’s illiterate population. Thus, many women aren’t able to properly scale their businesses due to limited resources. Women lack support from the community and they face increased household expectations.
What it does
HaveHerBack is a mentorship platform for women by women to achieve their full potential. This mentorship platform includes three cornerstones. The mentorship pairing system ensures that each member of the community is receiving the best support and guidance to fulfill their goals for the mentorship program. Since the HaveHerBack matches each pair based on their interests and location, they can choose to meet in-person or online to build a meaningful connection. In addition, building a community of people who share the same interest for a great cause is our aim. HaveHerBack is a platform to let your voices be heard! Remember that you MATTER and you are NEVER alone. We have your back! Ultimately, empower women to continue their journey! Get inspired by women's accomplishments.
Mobile App
allows opportunities for female entrepreneurs running Small& Medium Enterprises (SMEs) to connect & receive mentorship from industry experts on the platform.
SMEs can also seek collaboration amongst themselves by connecting with firms that can cater to their needs.
Provision of a collection of relevant news/announcements about special funding/support for women-run SMEs from the internet
The Map feature finds organisation by category and location which helps user's collaborate and be aware of women-run start-ups in the region.
Website
Advertises Mobile App
How we built it
Mobile App
Maps JavaScript API
- Used For Embedded Interactive Google Maps.
Geocoding API
- Used For Embedded Interactive Google Maps.
Places API
- Used For Embedded Interactive Google Maps
Figma
- Used to create prototype (click the link to view our design)
FireBase
- Utilized for authentication when users signed in/created an account and the Firestore
Android Studio
- Used to Develop Flutter App
Flutter
- Used to Develop Flutter App
Coding Languages
- Dart, Ruby,Swift
Website
Coding Languages
- HTML,CSS,Bootstrap,JavaScript
Challenges we ran into
Working remotely was a burdensome challenge for us because we could not coordinate as well as if we were working together in person. To keep up to date, we needed to communicate effectively via Discord and GitHub Project To-Do Lists.
Integrating the APIS's and working with the firebase authentication/ firestore as we didn't have much experience with these tools.
Since so many different individuals were working on the project simultaenously, it was a challenge to keep our app look ing cohesive and concise. To mantain a consistent style, we made mocks up of our app utilizing Figma before we began coding. This enabled all of us to be on the same page.
Getting our domain.com to work for the website
Accomplishments that we are proud of
Overcoming the above challenges was our biggest accomplishment.
Utilizing the knowledge we gained from the workshops to create our application.
Being able to work together and produce something despite our major time zone differences and limited time.
Being able to bring all of our unique educational backgrounds to produce a product.
Working with a new techstack and steping out of our comfort zone
Learning that this is a novel idea that others have not created before.
What we learned
We learned how to use Flutter for the first time, and how to work together with different skill sets. In addition, we learned that many tools and libraries like Google APIs and FireBase exist that can be used to make our app a reality.
What's next for Have Her Back:
In the future, we are hoping to implement more tools to foster a sense of unity and empowerement. For example, we may include channels where users can discuss day-to-day events and provide each other with resources. We may also insert a channel that allows users to report sexual harassment and other major issues women deal with. Each time a women reports an event a marker can be added to the location where the event occurred. The marker can have different colors to signify different issues.
Join the inclusive community of talented, bright and accomplished women now!
Built With
bootstrap
css3
dart
figma
firebase
flutter
html5
javascript
ruby
swift
Try it out
github.com
haveherback.tech
github.com | HaveHerBack | Help A Sista Out! | ['Nicole Streltsov', 'Mualla Argin', 'Arianne Ghislaine Rull', 'Manya Agarwal'] | ['Best use of Google Cloud'] | ['bootstrap', 'css3', 'dart', 'figma', 'firebase', 'flutter', 'html5', 'javascript', 'ruby', 'swift'] | 7 |
10,336 | https://devpost.com/software/progress-recorder-1ipzy5 | Inspiration
I often feel writing and storing what I have done is the best motivation one can get. So I tried a Progress Recorder App to keep record of all your progresses!
How I built it
I used MERN as my tech stack
What it does
It records the progresses clubbed under different categories to help you give the boost you have always wanted.
Challenges I ran into
Learning a new tech stack was a challenge
Accomplishments that I'm proud of
I wanted to try my hands on React! Here, I got a chance to try it as well as complete it in short time. This pushes me to learn and complete things in given time.
What I learned
Managing a whole project on my own. Though I wasn't able to link all functionalities, but I can finish them now that I came so far.
What's next for Progress Recorder
Delete the tasks written. Dashboard is yet to be built. I will add tables and graphs to show the progress day-wise and month-wise.
Built With
express.js
mongodb
node.js
react | Progress Recorder | Records your Daily Progress, check on them and keep winning! | ['Muskaan Jain'] | [] | ['express.js', 'mongodb', 'node.js', 'react'] | 8 |
10,336 | https://devpost.com/software/femme-kl2co4 | Website homepage : About Femme
Features Page : Services provided by the app
Download app page : Link to the application
Contact us: Femme email address
Our Team: Contributors behind the Project
View Requests from other passengers, Owner Manage Journey Page, Create new Journey
Signup, View Fixed Journeys, Passengers On Board
Passenger Manage Journey Page, Femme Home Page, Login
Passenger Home Page, Owner Home Page, View Invitations
Get Route, Send Invites, Track Journey
Inspiration:
Statistics show that the rate of crimes against women increases by an alarming rate of 44% or more every year. With increasing crimes against women these days, we found it extremely necessary to build something that helps them feel safe.
Our idea is to help women who travel alone, be it after late-night work hours or for shopping in a far off location. We have implemented multiple features that aren’t available to them readily and designed a lightweight mobile application for the same.
This ensures their safety at travel and in case of any danger, it sends alerts to their emergency contacts. It also alerts the contacts when the predefined path is not being followed and the vehicle deviates.
What it does:
1. Finding a cab companion:
Suppose a woman is to travel late at night, she can choose to travel with someone who is traveling the same path instead of traveling alone. On filling up the pickup point and the destination point, the app would show her the results listing all the women traveling the same path. She can choose who to travel with, as per her liking, and book her ride.
2. Chatting with the cab companion:
After choosing your cab companion and confirming the ride, the woman can converse with her companion through text messages.
3. Alert on path deviation:
Once the ride is confirmed, the app already decides a predefined route that the cab is supposed to follow. If there is any deviation noticed in the path being traversed, the user’s emergency contacts are immediately notified. These features and functionalities of the proposed application solve the problem of unsafe travel.
The woman can travel with a companion and also keep her family updated in case of any upcoming danger.
4. Alert through the press of a single button:
If the user clicks on the alert button, then the emergency contacts of the user will be notified. We can also implement this functionality by pressing a single button in the application.
5. Seamless User Experience:
We ensure a smooth user experience by creating a minimalist UI.
How we built it:
Android Application:
Front-end software: XML;
Back-end software: Java;
Database: Firebase;
Text Editor: Android Studio
Web Application:
Front-end software: HTML, CSS, Bootstrap;
Text Editor: VS CODE
Design:
Figma;
Adobe Illustrator
Challenges faced:
Android Application:
Making the path deviation functional and accurate along with Google Maps API integration was a major challenge we ran into. However, using online resources we were able to build our requirement.
Web Application:
Making the website responsive and ensuring that the UI did not crash on various devices was a challenge faced. However, ultimately, we managed to make it compatible and user-friendly on screens of different sizes.
Design:
Designing a minimalist UI with great user experience while keeping the application easy to understand took a while. However it all worked out in the end!
Accomplishments that we're proud of :
We managed to implement the path detection and deviation systems accurately by pre-dermining the routes successfully. This is a feature that is currently unavailable in the existing cab services and we're glad to have found our way to the solution
We successfully integrated the SMS services with the application that send alerts in case of danger.
What we learned:
Implementing the complex logic using multiple screens in the Android Application was something we got a hang of. The success of implementing the path deviation and detection feature gave us immense pleasure.
Achieving great user experience and responsivity on devices of various sizes was another concept we learnt.
Overall, we learnt how to deal with various errors that came up in the process while solving it in an almost effortless manner.
What's next for Femme:
The application was built successfully and after conducting a survey within our community, we received a lot of positive remarks about the usefulness of the application and the idea of it. However, we also received feedback on the improvements to be done to help us provide a better user experience to our customers.
In future scope, we could add a feature of voice and video recording at the moment of danger and send it to the emergency contacts so that they are well informed about the situation and the action to be taken.
We could also notify the nearest police station of the happening in order to bring her out of danger as soon as possible.
We would also like to add a gesture recognition system to send alerts so that with a hand movement, alert messages can be sent to all the emergency contacts.
Another improvement is the addition of a functionality to take the driver’s and car’s picture and send it to her contacts before beginning the journey.
Most importantly we aim to publish our application on playstore to increase our audience.
Implementing these features would make it a perfect platform that a woman could carry along with her, while traveling with confidence.
Built With
adobe-illustrator
android
android-studio
bootstrap
css3
figma
firebase
google-directions
google-fonts
google-geocoding
google-maps
google-places
html5
java
javascript
jquery
netlify
sms
vscode
xml
Try it out
github.com
drive.google.com
femme.netlify.app
www.figma.com | FEMME - HER SAFETY, OUR CONCERN | High crime-rate against women motivated us to build an app that ensures her safety at travel ; from deciding her cab-mate and journey, she can track her location and alert her contacts when in danger. | ['Riddhi Gupta', 'Manorama Maharana', 'Saloni Parekh'] | [] | ['adobe-illustrator', 'android', 'android-studio', 'bootstrap', 'css3', 'figma', 'firebase', 'google-directions', 'google-fonts', 'google-geocoding', 'google-maps', 'google-places', 'html5', 'java', 'javascript', 'jquery', 'netlify', 'sms', 'vscode', 'xml'] | 9 |
10,336 | https://devpost.com/software/shaanti | Inspiration
According to an article by WHO in January 2020, _ "Depression is a common illness worldwide, with more than 264 million people affected". _ I have created this platform to help people who suffer from similar emotional and mental traumas can talk about it with other who are going through the same condition as them.
What it does
It acts as an interface/platform who are facing emotional distress to help each other.
How I built it
I used HTML5, CSS3 and JavaScript to make this platform
Accomplishments that I'm proud of
I am proud that I was able to build this project alone and after some work might be able to help a lot of people through this website.
What's next for Shaanti
I want to improve the UX of the website and also build a chat platform for the users.
Built With
css3
html5
javascript | Shaanti | The emotional first aid you need | ['Sanchi Bansal'] | [] | ['css3', 'html5', 'javascript'] | 10 |
10,336 | https://devpost.com/software/diaspora-du1se4 | Inspiration
I spent the first six months in the U.S. feeling really lonely. I was alone in a different place for college and I had to adapt. Life got easier when I found people from my home country who helped me feel connected to home.
How I built it
It was made using Figma
What it does
It is a website prototype that shows different pages with features to help people leaving abroad. This is achieved by helping them network and learn about other cultures while experiencing their own at the same time.
What's next for Diaspora
This will further be developed into a website and more features like updating people about cultural events in their area will be added.
Built With
figma
Try it out
www.figma.com | Diaspora | It is normal to feel lonely when away from your home. However, we can at least try to feel better by connecting with people who understand our culture. This is the problem diaspora is trying to solve. | ['Oluwaseun Omotayo'] | [] | ['figma'] | 11 |
10,336 | https://devpost.com/software/virtual-keyboard-k8omdz | How blinking will be captured using eye recognition and how it will converted to typing letters.
Inspiration
In everyday life, we often do not think about how do the differently abled people live, what problems they have to face. And the point here is not so much in spiritual insensitivity as in the fact that there are very few points of contact between people with disabilities and society. Often the world of such people is confined by the walls of the apartment where they live, and the circle of communication is limited only by the closest relatives. computers and Smartphone’s play an important role in people’s daily lives. People type messages to communicate with others through WhatsApp, We Chat and LINE every day.
What it does
The keyboard is the typical device for interacting with computers. In this paper, we study a new keyboard design for people with disabilities. Basically, the keys on a keyboard are operated with the help of persons eyes. Disabled people suffering from many problems related to communication and typing can be a difficult task for them. The main objective of this project is to provide an easy way of communication and learning for the physically disabled and needy.This project is based on Image processing and it uses libraries like Dlib, OpenCV and other libraries with the help of which we would be able to detect points on face like eyes. After detecting eyes V.K.D will calculate the blinks and compare them with the standard MOSS codes with the help of blink detection and eye detection we are able to find out the Character which a person wants to express. With the help of this project the people with specially abilities can write just using their eyes. An example could be taken of Stephen Hawkins a great researcher an idol to many with just two fingers he was able to write many theories and to the beyond what if he would be able to write using his eyes also .
Feasibility Study:-
This project is very useful for special people who suffer from problems related to paralysis, deaf and dumb and many more and because of which they face problem communicating. This project is based on Image processing and it uses libraries like Dlib, OpenCV and other libraries with the help of which we would be able to detect points on face like eyes. After detecting eyes V.K.D will calculate the blinks and compare them with the standard MOSS codes with the help of blink detection and eye detection we are able to find out the Character which a person wants to express. We Chat and LINE every day. The keyboard is the typical device for interacting with computers. In this paper, we study a new keyboard design for people with disabilities. Basically, the keys on a keyboard are operated with the help of persons eyes. An example could be taken of Stephen Hawkins a great researcher an idol to many with just two fingers he was able to write many theories and to the beyond what if he would be able to write using his eyes also .
Methodology/ Planning of work:-
The whole project is being divided into phases they are as followed
Phase 1:- Planning
In this we planned the output with my teammate
Phase 2:- Environment setup
In this phase we setup all the necessary environments like installing libraries, setting up python and many more.
Phase 3:- User Interface
We planned the UI that how it will look in future
Phase 4:- Implement User Interface
We implement UI
Phase 5:- Back Hand
We work on backhand.
Phase 6:-Integration
We integrate the product.
Innovations in Project:-
This project is based on Image processing and it uses libraries like Dlib, OpenCV and other libraries with the help of which we would be able to detect points on face like eyes. After detecting eyes V.K.D will calculate the blinks and compare them with the standard MOSS codes with the help of blink detection and eye detection we are able to find out the Character which a person wants to express.
Software and Hardware Requirements:-
Hardware required:-
A camera and a laptop
Software required:-
Python IDE, OpenCV, Dlib, Time and other libraries.
Inspiration:-
One of greatest source of inspiration for this peoject would be Stephen Hawkins, a great researcher and an idol to many. With just two fingers he was able to write many theories. Deriving motivation from these people and determined to provide them with the luxury of using computers and typing, we have developed an eye-controlled keyboard which can be used to train physically disabled people to read and write just by blinking their eyelashes.
Objective:
The main objective of our project is to propose useful BCI (Brain Computer Interface) that monitors the blinking pattern of the challenged users and converts these bioelectric signals and use them as appropriate commands to allow them to communicate.
Implementation
Requirements
Hardware Requirements:-
A camera and a laptop is sufficient
Software Requirements
Python IDE with Libraries like OpenCV, Dlib, Time and other Libraries Installed
Source Code Explanation
1) Importing The Libraries
2) Loading sound
3) Loading webcam
4) Defining the keys
5) Drawing the letter on keyboard
6) Setting and aligning text
7) Drawing and dividing the whole window into 2 parts left and right
8) Calculating midpoint of the eyes
9) Calculating the blink ratio using the mid points
10) Using landmark points in the face to detect multiple points of the face
11) Starting the search
12) Making a counter for counting the blink detected
13) Starting the webcam and converting the feed in gray scale in background
14) Selecting between Left and Right menu and showing the buttons accordingly
15) Displaying the letters on keyboard
16) Showing the output and resetting the board
(images attached)
Output validation and comparison
This project is based on Image processing and it uses libraries like Dlib, OpenCV and other libraries with the help of which we would be able to detect points on face like eyes. After detecting eyes V.K.D will calculate the blinks and compare them with the standard MOSS codes with the help of blink detection and eye detection we are able to find out the Character which a person wants to express.
to see the working of our project i.e virtual keyboard refer to link provided in the try it out section.
Built With
dlib
imageprocessing
opencv
time
Try it out
drive.google.com | Virtual Keyboard | To create a virtual keyboard using AI/Ml for the visually impaired or differently abled people to allow them to type by monitoring the pattern of blinking and communicate. | ['Tavleen Kaur', 'Simran Makhijani'] | [] | ['dlib', 'imageprocessing', 'opencv', 'time'] | 12 |
10,336 | https://devpost.com/software/shes-afe-smirv2 | Workflow
Inspiration
During this phase of pandemic,everyone is locked down in their homes. Although,we may point out situations are not good whenever you step out of home. But for some people,it is worse inside their home. With the rise in domestic violence over this period, home has literally become a hell for some people. Through this project,I aim to help and aid those people, who are silently being oppressed in their homes.
What it does
The problem with many domestic violence crimes is that many of them get unreported. Since,the oppressor or the one at guilt,tries to get control over all the resources, that a victim may have to contact the outer world.Hence,trying to inculcate a sense of terror and fear in the minds of the victim.So, I have tried to incorporate
~An interface through smart devices such as
Amazon Alexa
and Wireless Communicating Sensors, which would further save the details, and can be used to directly call emergency services for help.
~Backup interface,in the form of a
Native App
,which will record all the actions,and could be accessed by the trusted person in which she/her places confidence in. If in any case, the victim is unable to call for help, then that person will have the freedom to monitor and hence take necessary actions for her health.
How I built it
I started with working on an
Alexa Skills
, which would be triggered by the victim. It is capable of calling and helping her out.
Apart from that, if Alexa or any Amazon product is not nearby, a wearable device(like pendant) will be used to monitor the heartbeat of the victim,as it has been researched that, distress and depressed emotions can affect the heart rate variability.The wearable device consists of
Pulse Sensor Amped
, which will send the inputs via
Wireless MCU
.
All these constraints are stored on an
React-Native
App and can be accessed by the victim,as well has her trusted person.
Challenges I ran into
~The major challenges to this problem was in deciding who to provide control over all this interface.Since,its for aid of victim,it was necessary,that,she is able to control and give access to whomsoever she wants.
~Secondly,we don't want all this interface to be dependent on availability of an Alexa device. That is why,a separate device,was incorporated for her health monitoring.
~At last, we also want to monitor the frequency of interactions with the interface, to analyse the seriousness of the whole case. A Native App is thus provided.
Accomplishments that I'm proud of
This was my first solo Hackathon. Domestic Violence is a pretty serious issue,which is often slipped away.
Proud that I could come with this idea, and was able to learn some new skills as well. A small stepping stone to solve an issue ;).
What I learned
I was more familiar with
Web Development
prior to the hackathon. While researching and prototyping, I got a better understanding of developing Alexa Skills, along with some hardware sensors as well.
What's next for shes'afe
For future prospects, Emotion Detection Analysis,via Machine Learning, can be implemented, which would thus give better and more reliable results
Built With
alexa
react-native
Try it out
github.com | shes'afe | A Women Safety SOS, because safety starts at Home | ['Sabhya Grover'] | [] | ['alexa', 'react-native'] | 13 |
10,336 | https://devpost.com/software/hacktabs-h62g79 | logo
home
to-do/tabs
forum
inspiration
Inspiration
Working remotely has increased due to the pandemic and it has defenitely made it hard to work, hack, learn, or just be productive in the same chair. Most of the times we make a list and it gets lost in a pile of papers, or even piled up snack wrappers and cups from throughout the day (or days). Then you write it online but get lost in the blackhole of Youtube and other social media apps. This is where HackTabs comes along to facilitate the process of making lists and increasing productivity. Its allows users to create tabs, dividing their work into categories, and get the job done without to many distractions (except you can change the color of your background, but thats it!). The tabs or To-Do portion is distraction free and can be used by anyone, however, the rest of the site (Forum and Resources) is designed for underrepresented hackers in the tech field.
In the Forum, users will be able to browse common topics that other users have encountered, as women or underrepresented inidviduals in the field and be able to connect with them via comments. In addition, in the Resources tab you will find various topics such as Interviews, Scholarships, and Opportunites all meant to assist users and having the best shot at success in the field. There is also an Inspiration board with images and quotes to motivate underrepresented individuals to do something great. Overall, users can connect but a lot of the social aspects where limited as we are all guilting of losing track of time on social platforms.
Nonetheless, I was inspired by sites like Trello and scholarships sites like Fastweb Scholarships. Even though, a lot of these scholarship sites make it hard to find opportunities for women and underrepresented minorities, it inspired the forum and resources portions of my site.
The logo is simple and modern, however, the slash creates a triangle which is the strongest shape to emphasize that together we can help each other and succeed despite being underrepresented in the field.
What it does
HackTabs a site thats is both practical and creative. On one hand it is a simple, customizable list-making app and on the other it is a small platform to inspire women and underrepresented minorities in tech by providing a medium to speak about common issues/trends as well as giving resources aimed to fuel success.
It also has a forum and resources area to inspire and connect users.
How I built it
For the front end development I used HTML, CSS. To add functions like changing the background and adding a text editor, I used jQuery libraries and CKEditor. Meanwhile, to design the logo, I used Illustrator and Photoshop. Finally, I used Premiere for the video, and Pixabay and Pexels for the images on the site.
Challenges I ran into
I defenitely ran into a lot of challeneges, when it came to styling the buttons and makkng the site responsive. It was also hard to get other parts(buttons and tabs) of the site to respond to the change in the background color. In addition, it was my first time using jQuery libraries as well as a text editor, which both took me some time to get.
I also would have liked to include more content but due to the time I had to leave to produce the video, I decided to limit the sample content of the site. Finally, not having experience in backend really made it hard for me to save user information in parts like the Sign up and To-Do.
Accomplishments that I'm proud of
I am really happy I completed the project. It is my first virtual hackathon and my first time working on a project alone. Even though the site didn't have a back-end, I know I learned no aspects and tools to make the front-end dynamic and fucntional.
What I learned
I learned more about making sites interactive, functional, and appealing to the eye by integrating editors and features such as changing the background to make it user friendly.
I also learned how to include sign up pages with basic functions like ensuring that the user inputs the password twice which was a small step forward for me as I dive into handling user information and hopefully saving/ retrieving it from a database.
What's next for HackTabs
I plan to continue making the site responsive and adding content to it in order to host and publish it.
Built With
adobe-illustrator
ckeditor
css3
google-fonts
html5
jquery
photoshop
trello | HackTabs | HackTabs is a unique list-making site that inspires underrepresented individuals in tech to work efficiently from home, stay inspired, and connect with similar users. | ['Betty M'] | [] | ['adobe-illustrator', 'ckeditor', 'css3', 'google-fonts', 'html5', 'jquery', 'photoshop', 'trello'] | 14 |
10,336 | https://devpost.com/software/womenarethefuture-wztgxp | Inspiration
I was inspired to create this because as I was researching and picking out what track to submit to, I realized the issue we have at hand when it comes to women being underrepresented in the tech sector was very severe, and I wanted to help bring light to it.
What it does
This website is simple, however it is effective in providing people with the knowledge and inspiration they need to get started on fixing this issue. It shows you simple actions to take as a woman to help our community rise and be brought into the light, and to show people our issue is important for the future of society and we need to fix it. The WomenAreTheFuture also hopes to provide young girls with inspiration by briefly discussing very prominent women in the past of STEM and strong fighters for equal gender equality. Lastly, it also provides you with a few statistics and and a little bit of information to encourage you further research this issue and give you motivation to help solve it.
How I built it
I built it using HTML, CSS, and bootstrap.
Challenges I ran into
As this is my first time attending a hackathon, there were a few issues I ran into. In the coding aspect, I was fine because I already knew how to code with HTML, CSS, and bootstrap. However when I was attempting to upload my code to github I ran into quite a few errors. However luckily after learning how to properly use github, I got it, and uploaded it on time.
Accomplishments that I'm proud of
Accomplishments that I'm proud of are the time I completed this website in, especially since I did it alone. Although it isn't complete since I would love to add more features such as a quiz or registration form, I finished the website in under 6 hours, and for my first time attending a hackathon, I proud of what I have created!
What I learned
I learned that you should never underestimate the time it takes to create even the simplest of websites/apps. I also learned that attention to detail is key when coding, especially in a time crunch. Overall, this hackathon was one of the most stressful experiences I've been put under, to say the least. However, nonetheless the knowledge I gained and the value it holds outweighs the stress for sure, I'm glad I decided to participate and give it a try.
What's next for WomenAreTheFuture
Next for WomenAreTheFuture I would like to add additional features such a quiz or register form to have people either take a quiz on the knowledge they learned on my website or have them register to receive monthly newsletters on women in stem.
Built With
bootstrap
css3
html5
Try it out
githubacc-tan.github.io | WomenAreTheFuture | A simple but effective website created with the intent to promote awareness about gender inequality in STEM/tech | ['githubacc-tan sayooj'] | [] | ['bootstrap', 'css3', 'html5'] | 15 |
10,336 | https://devpost.com/software/savvyspot | Page1: Homepage
Page2: Inserting the resume
Page 3: Resume Parser
Inspiration
Our inspiration for SavvySpot came from the need for equality and gender diversity at workplaces which have always been one of the major issues raised by many people. We wanted to create a platform where candidates are hired solely based on their skills and selection is not biased by gender roles.
What it does
So our project is a website that asks candidates to register with us and then takes in their resumes and stores it in a database. And then these resumes are presented to employers after removing their name and gender-related info and focus are only given on the skillset of that candidate. This allows employers to choose potential candidates only based on their skills and the scope for bias based on gender is minimalized.
How we built it
Front-End is built with the Django framework and the Backend uses a technology stack of Python, NLP, resume parser. The hack takes input at a resume and parses it to give the information to display the details of the candidate, also the candidate gets a unique ID associated with its resume. The interviewer can see the data of the candidate but the system won't reveal the gender of the candidate making the selection completely skill-based.
Challenges we ran into
We mainly faced difficulties relating to the handling of database and deploying our website since we were not familiar with backend development and it was our first time working with it.
Accomplishments that we're proud of
Being new to hackathons, we feel proud that we could come up with this project that could have a great impact on encouraging gender diversity in workplaces. And even though there are many places we have to work upon, but to able to present this within this short period and learning a lot of new things is one of our biggest takeaways!
What we learned
Firstly this entire hackathon was a great learning experience as it helped us improve our coding skills and helped us to experiment with many new things which we were not familiar with earlier. Through our project, we were able to use our technical skills to create a product that promotes gender equality in workplaces, a social cause that makes this a whole lot special for us. It has also inspired us to implement more of such projects in the future.
What's next for SavvySpot
There is a lot of scope for improvement in SavvySpot as it can be built as a full website and help in reducing gender inequality. It can concit database and a better GUI.
Built With
css
django
html
javascript
natural-language-processing
python
resume
webapp
Try it out
github.com | SavvySpot | Gender Equality during selection of candidate for interview. | ['Sanjana Nalawade', 'Gauri Nair'] | [] | ['css', 'django', 'html', 'javascript', 'natural-language-processing', 'python', 'resume', 'webapp'] | 16 |
10,336 | https://devpost.com/software/munch-yobti9 | Inspiration
For victims of food allergies or GERD, finding delicious recipes that they can eat isn't easy. I wanted to create a website that helps them have explore and enjoy recipes without worrying about their triggers.
What it does
Munch uses the Edamam API to search through more than a million recipes with a search query, and excludes certain ingredients from the results.
How I built it
I used the Edamam API and create-react-app.
Accomplishments that I'm proud of
This was my first time completing a React app! :D
What's next for Munch
I hope to add an option that lets the user print the recipe or save it to their account.
Demo
https://drive.google.com/file/d/13N7Kjk21KbAj3TOHJhONuXoa91rJyOVL/view?usp=sharing
Built With
edamam
react
Try it out
github.com | Munch | Explore and enjoy more than a million recipes free of your allergy and heartburn triggers. | [] | [] | ['edamam', 'react'] | 17 |
10,336 | https://devpost.com/software/durham-university-women-in-tech-react-js-website | Events calendar to attract new attendees!
Executive Committee page with interactive images
Blog Post page to post about events
Home page with Image carousel
Inspiration
DU-WIT is a young community at Durham University and we wanted to expand our online presence to include a website where all of our information will be contained from blogs to events to mentoring information. As women in tech ourselves, it was only fitting for us to use this opportunity to tackle this need in our community!
What it does
Our website provides information for students studying STEM degrees at Durham University, from career. We have provided a calendar to display the date and time of events, from career workshops to pizza and games nights, encouraging a sense of community among female and non-binary students. We also have a blog to talk about these events after they have occurred, encouraging new members to come along to future events! Finally, we provided an exec page to introduce members of the committee, so that DUWIT members have familiar faces to approach in the department.
How we built
This site was built using React.js, and this was the first time we have used it, but we were very eager to learn. We used Git to collaborate.
Challenges we ran into
Working with React.js was a very steep learning curve for all of us! Additionally, working with the google calendar API was a challenge as there were a lot of small bits of information needed from lots of different places. It was also difficult to integrate FullCalendar to react!
Accomplishments that we're proud of
We are very proud of our finished product and cannot wait to use it throughout the year! Our interactive calendar and exec pages work smoothly and are easily updated. We followed a specific colour palette and are very happy with the final look.
What we learned
We learned how to work collaboratively on Git, introducing branching and merging into our workflow. We have become very familiar with this technology and it will certainly be useful to us in the future. We have learned to work confidently with React, and this was a goal for all three of us!
What's next for Durham University Women in Tech (React.js website)
We want to go on to develop our website so that it can support us in our mission to help women in tech. We hope our website will share stories about our member's successes and achievements, and that it will help us to spread our message. We also want the site to help organise and advertise our society and events
Built With
javascript
react
Try it out
github.com | Durham University Women in Tech Website | A React.js website was created to promote DUWIT (Durham University Women in Tech). We originally co-founded this inclusive group to provide support for students studying STEM degrees. | ['Molly Hayward', 'Amy Hudspith', 'Alexandra Krajewski'] | [] | ['javascript', 'react'] | 18 |
10,336 | https://devpost.com/software/forest-zfr4ye | Log in screen
Dashboard
Hospital Room Information
Hospital Room Entry Logging
Patient Information
Staff Information
Infection Information
Select type of infection
Patient Info
Infected Staff
Confirmed or suspected case
Hai
Incubation period
Send email
Email sent
Inspiration
The mother of one of our team members, Alex, is a nurse in a local hospital. The current pandemic has placed enormous amounts of stress on our hospitals and health care workers. Alex's mom, Vera, told her that nurses have resorted to pieces of paper taped to hospital room doors to used to track room entries. Shortly after, Alex realized there was a gap in the healthcare system for contact tracing within hospitals. We have all heard about various phone apps being created for everyday consumers but after some research, we found that nothing similar exists for hospitals. Therefore the idea for our project was born. A simple application that allows nurses and other staff to track their movements around a hospital with a simple scan of their badge.
What it does
Our application provides a way for nurses to track their movements around hospitals. We have built an endpoint that can be easily connected to hardware in hospitals to log the badge scans of nurses and other staff. We also built an interface for hospital administrators to enter their patients and which rooms they reside in, as well as log test results. Once a test result is logged, our system is able to trace which staff have come in contact with that patient and tell them to self-isolate. Our application also provides hospital administrators with a simple dashboard to track the number of infections in their hospitals, and how many of these have spread to staff members.
How we built forest
Our application was built with Ruby of Rails, React.js, and a PostgreSQL database. We used the
react-rails
gem in order to have both our frontend and backend in the same repository. We also used the
devise
gem for easy user management and authentication. Finally, we used
Bootstrap
for our base styling, and
styled-components
to customize things even further.
For more information on our development process, checkout our
Process doc
(which includes our figma mocks, and other backend planning).
Challenges we ran into
Our biggest challenge by far was having one repository for both the frontend and backend of our application. Prior to this project, we have had experience working on applications with separate repositories for the frontend and backend, with GraphQL sitting between the two. However, in this project, we experienced many difficulties with how to setup both frameworks, and how to communicate between the views and controller without GraphQL.
Another big challenge was the hospital system itself. It is a very large and complex system that provides healthcare services for millions of people. Understanding the scope and requirements was very tricky and we were constantly uncovering "gotchas" as we developed. We believe that our current application is a good start and could be easily integrated into the hospital system, but the future improvements sections details some areas we would like to continue development on.
Accomplishments that we're proud of
We are both extremely proud of what we accomplished. As a team of two, and with one member having never been to a hackathon before (Heather) we are impressed with how much we were able to produce in just two days (and all remote!). This project is by far the largest personal project we have worked on and the quickest we have ever created a fully-functioning web application.
Additionally, we are very proud of how we worked as a team. Alex has extensive experience working with React and was responsible for most of the frontend development of the project. Whereas Heather has experience working with Ruby on Rails and was responsible for the backend development of the project. We are impressed with how well our skillsets matched each other, how we were able to 'divide and conquer', as well as teach each other along the way.
Finally, we are most proud of the impact this application could have on the community around us. Healthcare workers are risking their safety every day for the betterment of everyone in our community. However, what little safety they could have is the form of contact tracing is undeniably lacking. This project fills a gap in the healthcare system, and we are very proud of the potential impacts this project can have on healthcare workers.
What we learned
Our biggest learning by far is how much work projects can be. We started developing with a solid plan in mind for what we wanted to produce and accomplish this weekend. However, with the clock ticking we had to make cuts to some of our planned features (see the What's next section). Little things truly do add up. We also learned how important the division of work can be. We had clear tasks to be accomplished by each member which allowed us to make decisions efficiently and work quickly.
What's next for Forest?
We have big dreams for Forest, including speaking further with local hospitals about how we can make this project best suited to their needs. However, in terms of how we would like to improve Forest development-wise, we will be focusing on fine-tuning our contact-tracing and implementing the tracking of visitors. For further extension, we want to be able to track the symptoms of patients and use this information to infer potential cases and to analyze the data to provide more insights into potential outbreaks within the hospital.
Built With
figma
postgresql
react
ruby-on-rails
Try it out
github.com | Forest. | Contact tracing in hospitals is undeniably lack, with nurses often writing tracking on pieces of paper - we aim to fix this. | ['Heather Musson', 'Alex Girard'] | [] | ['figma', 'postgresql', 'react', 'ruby-on-rails'] | 19 |
10,336 | https://devpost.com/software/notify-dtlkq6 | Object Demo
Notify is disguised as a weather app.
When you click the plus sign you can see your message.
This is where you type your message and adjust settings.
When you click send message the message will sent to your pre-configured list.
You can check if the message was sent by going to messages. You can also send the notifcation to Whatsapp or hangouts.
Here, you can see that the message was sent.
Inspiration
Rape and sexual harassment are a huge problem in our world and they continue to increase.
According to the Australian Bureau of Statistics (ABS) 2016 Personal Safety Survey, one in five women (18% or
1.7 million) and one in 20 men (4.7% or 428,800) have experienced sexual violence since the age of 15.
According to Global News, about 35% of women globally have experienced physical or sexual violence recently.
In South Africa, 3 out of every 4 women have experienced some form of abuse in the past year.
This isn't all. These are just some of the reported cases of rape and sexual harassment. There are so many more, which makes this a humongous problem, which MUST be resolved for the better good.
During these stressful situations, traditional ways of seeking help are not viable and they are also expected. Making a phone call, opening an application on your cell phone is, etc. and assistance is required at the click of a button.
So, I created Notify.
What it does
Notify is your own personal notifier.
It is a device and an app. Using notify you can send emergency messages through the click of a button.
The Notify Device:
The device is a wearable asset that you can use at the click of a button e.g. button on your watch, on your earrings, lockets, or even purse that will send multiple notifications for help. The help can include notifications to police,
friends, everyone in a 1-mile-radius, and etc...
When the user clicks the button on the notify device, the phone app uses an Emergency mechanism to send multiple notifications to your pre-configured list along with your location.
The Notify App:
The Notify App is installed on your phone and it disguises as a weather app. So, no one but you will know of it.
How I built it
Proto.io, Android Studio, Arduino
Challenges I ran into
It was very hard to build the app, I was quite new to the software and I didn't have much prior experience of using it either. Regardless, of that, I continued to work hard and in the end, I achieved great results.
To add on, with only 24 hours to create a working prototype app, I had more ideas to implement than time allowed so I was challenged to narrow down my app's features but perhaps save the other ideas for the future.
What I learned and Accomplishments I am proud of
In the technical aspect, I improved my proficiencies in creating mobile apps, while learning how to solve problems when a particular tool fails to work.
What's next for Notify
I plan to implement these changes for Notify in the next 3 months:
The Notify device will become smaller and will be easily attachable to other objects, such as earrings, lockets, necklaces, and etc...
I will use AI to make the app more interactive and provide the users with more features. For example, if the app senses a sudden increase in the user's heart rate, it asks the user if he/she ok? If the user fails to respond, the app will automatically send a message to the police and everyone else in a 1-mile-radius or less.
Example Scenario:
Laura wants to go from her workplace to her friend’s house on a Friday night. but is concerned because the streets are dark and quiet. So, she puts her hand on the button and continues to walk.
The walk about 25 minutes long. All of a sudden, a man comes up to Laura and grabs her phone. But, not to worry, Laura still has the Notify Device in her ring. Laura immediately presses the notify device on her ring and an SMS message has been sent to the police and her family members. In addition, Laura also sent an SMS message to everyone in a 1-mile-radius
Upon receiving the message, the police arrived and they arrested the person, who was attacking Laura.
So, using Notify Laura was successfully able to rescue herself.
Built With
app
arduino
hardware
java
Try it out
docs.google.com | Notify | Your personal notifier... | [] | [] | ['app', 'arduino', 'hardware', 'java'] | 20 |
10,336 | https://devpost.com/software/building-together | Inspiration
Being a minority, female, and first-generation college student in a field women aren't well represented, I had to find my way around different communities where I feel Computer Science and Tech is the right field.
What it does
Building togetHER is an app that aims to connect and empower women and members from underrepresented communities in tech through mentorship programs, student/professional led events, community discussions and just being there for each other. It's a "Queendom" where everyone can freely express, question, and discuss their tech/educational related issues or concerns as we are an open and supportive community.
How I built it
I used a prototyping software called Figma to build my project.
Challenges I ran into
I had run into a whole lot of challenges while building this project because it was my very first time using Figma. So part of the process was learning a new tool and figuring out how it actually works in order to design an ios app.
🤓# Accomplishments that I'm proud of
I am extremely proud of how well I was able to generate my ideas and draw them clearly to guide me. I am happy about how my design turned out.
What I learned
The greatest thing that I learned is that I am capable of doing anything that I put my mindset. I started hacking the very last minute and was able to finish it on time. Additionally, I was able to play and learn new thing that is prototyping.
What's next for Building togetHER
I am hoping to actually use Swift in Xcode to bring it into real life and deploy it in the app store. I am a firm believer it is a great way to build a supportive and collaborative space for underrepresented groups and women in the tech field.
Built With
figma
ios
iphone11 | Building togetHER | Us supporting Us | ['Saron Berhane'] | [] | ['figma', 'ios', 'iphone11'] | 21 |
10,336 | https://devpost.com/software/livehacks | Home page
Discover page - productivity filter
About page
Sign up page
New project modal
Profile page
Inspiration
Some of the coolest - and most useful - projects can come out of hackathons. This includes life hacks, organization tools, and even fun games. The majority of the time, hackathon projects aim to make some aspect of our lives easier or better. Why don't we keep using them after the event ends?
What it does
LiveHacks is a platform to upload live and completed (aka usable) hackathon projects for everyone to discover. Its main purpose is to keep hackathon projects alive and allow non-hackers to view the beauty of our sleepless endeavours. As a developer, you can sign in to post your own projects. Otherwise, anyone can view the projects from the discover page.
How I built it
The wireframe was first drafted up in Figma, then converted to HTML + CSS and hosted on GitHub Pages. The user authentication was done using Firestore authentication, and the data for the projects is stored in a Firestore database. (*Disclaimer, most links to projects in the demo are taken from websites/products on the internet, not real hackathon projects)
Challenges I ran into
It was a first experience using Firestore and many issues regarding user authentication, updating, and accessing user data were run into. Accessing data from the Firestore database was also a bit slow so we had to incorporate callbacks promises to make sure we properly called all the data we needed. It was also difficult to format the projects into a table - the workaround was creating HTML table elements exclusively in javascript. As well, as simple as it sounds, deselecting buttons is hard >:(
Accomplishments that I'm proud of
Not only does this project live up to its name, it also celebrates its fellow hackathon projects. The most gratifying part is being able to build a community for others, and hopefully allow these gems to gain the recognition they deserve by non-developers. This goes to show that not everything in hackathons is hard-coded and projects can be presented to people other than the judges.
What I learned
While building this project especially, we definitely learned a lot about combining HTML, CSS, and JavaScript, and programming elements in one language for another. This project also specifically involved a lot of new HTML that we had not worked with before, such as modals. We also learned a lot involving search functions from the category filters and the search. Finally, graphic design, unfortunately, was not any of our passions, so coming up with a decent design took a lot of time, research, and brutally honest feedback - but it was definitely worth it in the end.
What's next for LiveHacks
This is a project that was first an idea at the back of our minds for a long time, so we will definitely continue working on it after this hackathon ends. Although we got it up and running so far, it is far from polished or finished and there is a lot to keep building. This includes improving the search bar, possibly adding more filters, and scaling to allow for a larger number of projects and users in a more efficient manner.
Built With
css
firebase
html
javascript
Try it out
amyh102.github.io
github.com | LiveHacks | Keep hackathon projects alive | ['Amy Han', 'Lucy Han'] | [] | ['css', 'firebase', 'html', 'javascript'] | 22 |
10,336 | https://devpost.com/software/hersteam-zx4dfy | The homepage
About Us Page
Career Fields Page
Inspiration
We were inspired by summer coding programs that we completed that emphasized the gender gap in the tech field. We were lucky to be given opportunities at a young age to code, but we quickly found out that wasn't the case for everyone. We wanted to change that.
What it does
How I built it
We built it on repl.it using HTML, CSS, and Javascript. The HTML was the structure of the site, the CSS helped style the site, and the Javascript made it interactive.
Challenges I ran into
We had trouble formatting the images alongside the pictures on the about and homepage. We also had trouble getting the footer to stay at the bottom and not show up on the top of the site. We also had issues making the Map respond to a click.
Accomplishments that I'm proud of
We're proud of our resources page because that has compiled so many different programs and articles and took a lot of time to research. We are also proud of our graphics because it made the site more modern and emphasized the art aspect of our site. Lastly, we are proud to finish everything we wanted to finish in our short time
What I learned
We learned how to make an interactive map in Javascript and we also learned how to format HTML in CSS using classes.
What's next for herSteam
In the future, we'd like to add more resources onto our Map page. We'd also like to add more programs for low-income women who want to get into coding. We'd also like to embed the quiz into the site instead of using a Google Form.
Built With
canva
css
html
javascript | herSteam | A website for young women that compiles information on career fields, programs and resources for the underprivileged to help inspire them into the STEAM field. | ['Shanthi Hegde'] | [] | ['canva', 'css', 'html', 'javascript'] | 23 |
10,336 | https://devpost.com/software/coronatalks | Giving stats by searching the IP address location
This is How Corona talks to person
Font page
or manually check for different countries within seconds of accuracy
Last part adding some important courses link launched by WHO
Inspiration
There is significant global media attention on the spread of Coronavirus, which has led to justifiable consumer concern about the risks from COVID-19 and an ** Infodemic**. Fears about the risks from this outbreak, and the scale of the public health challenge, have resulted in a significant increase in people seeking information about what to do to protect and prevent the virus.
Consumers are searching online sources for guidance on what they should do. However, not all information is based on sound science. The information void has led to the occurrence of misinformation, misperceptions, and myths propagated by sources that lack the credibility to provide authoritative comment.
Despite the consensus amongst the medical community that there exists no cure for COVID-19, self-proclaimed experts and pundits across a variety of social channels are pervasive and are perpetuating ways to protect against or cure the virus. Everything from consuming bleach or antibacterial liquids in small doses to fearmongering is becoming commonplace.
The misinformation, misperceptions, and myths have the potential to lead to harmful public health outcomes and significantly limit the adoption of evidence-based prevention measures as advised by leading public health experts.
What it does
The aim of CoronaTalks is to provide accurate and credible information to counter myths. It's a Complete website where you get to know all you should know about Coronaviruses (CoV). I also Provided some courses link that is given by WHO itself for our own awareness. It is It will provide the exact statistical analysis of current corona cases in your country according to your IP location and
Main part
Ths website support a
Covid-19 Chatbot
which a trained model to answer all our queries regarding COVID-19 for e.g. can coronaviruses be transmitted from person to person?, Is there a treatment for a novel coronavirus or is there any home remedies?
How I built it
Use Rapid API to fetch COVID stats across the globe
Use Python web framework Flask to build a bot to discuss queries regarding COVID
Use IP Address of user to automatically fetch data of that country.
Accomplishments that I'm proud of
Honestly, see the challenges section. I did not realize how hard this project would be, but I learned a lot about chatbot and I'm proud of creating this of a noble cause.
What I learned
How you teach your machine what you want from them?
Most importantly I learn how to complete your derived project on time.
Integrate your thoughts and come out with something meaningful.
What's next for CoronaTalks
Firstly, I'll deploy this website. Then:
I will add more links to it
2.Adding more features to it
I really wish to complete health bot one day rather than just a COVID bot
try to collaborate with other people so that my project will get a wide perspective.
:)
Built With
api
bootstrap
chatterbox
css3
flask
gps
html
javascript
Try it out
github.com | Corona Talks | IF a person can talk why should you hear the Story from corona itself? | ['Praisy Satpal'] | [] | ['api', 'bootstrap', 'chatterbox', 'css3', 'flask', 'gps', 'html', 'javascript'] | 24 |
10,336 | https://devpost.com/software/gender-neutral-bot | Inspiration
While addressing the general audience or to provide any information to the community, a lot of people use a gender-specific pronoun, like the most used example, hey guys. Using that you are only addressing a subset of the community and leaving out everyone that doesn't identify with that pronoun.
Using gender neutral pro-nouns reduces mental biases that favor men and increases positive attitudes towards women and the LGBT community.
Even though this might not look like a big issue at fist glance, if you pause for a second and actually look, you'll find that this problem exists in almost all communities. Even over the course of this hackathon, many mentors and participants used non gender neutral terms on more than one occasions to communicate.
So we decided to make a Discord bot that would help keep conversations gender neutral.
What it does
When user sends a message, it checks it for gender specific pronouns. If it finds any, it suggests neutral pronouns that would suit the context. User can also use the announce command while making announcements to make sure that everyone feels inclusive.
How we built it
We made this using python relying heavily on Discord's documentation and used some clever text analyzing techniques to suggest replacement texts.
Challenges we ran into
We ran into a bug that we could not solve initially. We later found out that our ide was not compatible witha particular library. The bug vanished as soon as we switched our ide.
Accomplishments that we're proud of
This was our first time as well as first time making a bot. We are proud that we could make something that can be helpful in spreading awareness.
What we learned
We learnt how to make discord bots, navigate through documentation and how to edit videos.
What's next for Gender Neutral bot
We'll add a feature to allow users to add their preferred pronouns.
Built With
discord
python
Try it out
discord.com | Gender Neutral bot | Keep the conversations in your community gender neutral to make them feel more inclusive. | ['Nipun Dehmiwal', 'Geetanjali Saini'] | [] | ['discord', 'python'] | 25 |
10,336 | https://devpost.com/software/safehaven-olvzsx | Logo
Complaints
SOS
Chat
Inspiration
The sole purpose of this application is to support the women of our society.During these tough and unknowing times, we decided that for us, as a team the most important aspect is the mental and physical well being of those around us. In particular, we have chosen to look at this shocking statistic and work towards lowering it as part of our achievements from the app Safe Haven. Domestic Abuse figures have gone up 25% since the lockdown has started across the world, and more people now than ever before are facing aggressors in the household. With the outside world not being safe anymore, we aim to make the home a safe environment for as many as we can by educating, aiding and empowering those who are victims to abuse.
Our goal is to help women and girls suffering from mental health issues and domestic violence by providing them with best of our services.
What it does
Our goal is to help women and girls suffering from mental health issues and domestic violence by providing them with best of our services. It has an option of SOS signals for help from pre-set contacts. It silently contacts your networks and has options for both domestic violence and mental health crises. A chat bot is created named Haven who asks questions to determine what kind of help is needed and understands the concerns of the user. It answers any concerns or questions the user has. We created this app to help women in need.
How I built it
This app was basically built on Android Studio with Java. The chatbot was built with Dialogflow and the designs were created on Adobe XD.
Challenges I ran into
This was our first Hackathon. We have used many new technologies and learnt to use it. We took help from our MLH- Hack Girl Summer mentors who were kind and patient with us. Thanks to Gagandeep Reehal sir who helped us in the integration of our chatbot.
Accomplishments that I'm proud of
This was our first Hackathon so we were all very excited and we are glad that we were able to implement our idea in such a short span of time.
What I learned
We got to learn many new technologies and most importantly team work as we all were from different parts of the world. This platform made us all together and we got to work better even tho there were timezone differences.
What's next for SafeHaven
Sign in + phone number verification to create a profile and allow log out when the app is not in use - protecting victims from abusers
Educational resources focused on practicing good mental health habits
Security features to protect collected evidence from being seen by an abuser
Built With
android-studio
dialogflow
java
kommunicate
Try it out
github.com
docs.google.com
bot.dialogflow.com | SafeHaven | A SOS application for anyone in need of a companion. Women, we are always with you. | ['Haripriya Baskaran', 'Aishwarya Singh', 'Claire Konz', 'NadaBout boutaoui'] | [] | ['android-studio', 'dialogflow', 'java', 'kommunicate'] | 26 |
10,336 | https://devpost.com/software/bookworms-co | Little free library
Inspiration
When we walk in our neighbourhood, we often see little free libraries, a place where you can take or give books. We thought this was a smart and helpful idea, but needed to have more books, and be accessible world wide.
What it does
Exchangebooks.online is a website that enables you to share books that you’ve read, and read books from others, all for free.
How we built it
We brainstormed ideas and chose exchangebooks.online because we felt people would find it most useful. Then we discussed our skill set and used trello to split the tasks and github to share files. We used bootstrap and google cloud to make the website. Throughout the way, we helped each other out.
Challenges we ran into
The main challenge we faced were time zone differences. Our time zones are very different (10 hours apart!) and we had difficulty organising our work. We had to stay up late and wake up early to communicate with each other.
Another challenge we faced was getting a domain name. No members in our team had a credit card, so we weren't able to get our desired domain from domain.com.
What’s next
Currently our website is still static. We plan to add databases and user credentials to make it fully functional. Afterwards, we want to open it to the public and get as many users as possible.
Built With
bootstrap
css
firebase
google-cloud
html
Try it out
bookexchangeonline.netlify.app
github.com | exchangebooks.online | A platform to bring bookworms together! | ['Salika Dave', 'Charlotte To', 'brishti9301 Basu', 'Anuska Sinha'] | [] | ['bootstrap', 'css', 'firebase', 'google-cloud', 'html'] | 27 |
10,336 | https://devpost.com/software/myjournal | Inspiration
As someone who's quite forgetful, and with quarantine blurring the days, I have a tendency of forgetting when things are happening, when I did a task, etc. etc. As someone who's not very artsy, instead of using bullet journals, I've been using an Excel spreadsheet to keep track of the days and to motivate myself - so far this has been working, as knowing what I do everyday encourages me to be productive and productivity makes me happy (though the interface is poor for journal entries). The productivity category of this hackathon inspired me to create an online journal, so I could note daily occurrences with an interface more suitable than that of an Excel spreadsheet :)
What it does
The website allows you to note your daily routines, check off whether you've completed a task and add a written submission for every day, using a simple calendar format.
How I built it
Django was used to create the front-end and back-end of the website, and its SQLite database was used to store journal/day entries. HTML and CSS was used to create the website, as well as CSS frameworks such as Bootstrap and Materialize for further styling. JavaScript was used to create dynamic components.
Challenges I ran into
Struggled with setting up the Django database models, as I have little experience with databases
Little to no experience with JavaScript
Accomplishments that I'm proud of
I'm proud that I was able to complete this website as this is the first time I have created a functional website alone. As this is my first individual hackathon, I am pleased that I was able to overcome the time restrictions and challenges to create a prototype of what I hope to improve beyond this hackathon.
What I learned
I learnt how to set up Django databases/models and work with them, as well as how to set up and build the website from scratch. I learnt how to use JavaScript, as I was inexperienced with the language previously.
What's next for MyJournal
Improving the UI for each day entry, so it has more functionality (for example, a section for noting meals), and creating a user system. After further functionality has been added, I would also like to deploy it.
Built With
bootstrap
css
django
html5
javascript | MyJournal | COVID making your months blur? Losing track of time? Forgetting what you did last week? MyJournal can help you! | ['Ayesha Akhtar'] | [] | ['bootstrap', 'css', 'django', 'html5', 'javascript'] | 28 |
10,336 | https://devpost.com/software/quiz-app-v2-0 | Home Page
Choosing Category Page
Quiz
Selecting an Option
Summary Page
Summary Page
Summary Page
Inspiration
So, in this quarantine, I thought of building a website, where friends can come together and challenge each other/quiz each other. The idea was that the website will have some pre-available questions which users can solve and check their knowledge. I also thought of creating "user-made" questions where the admin can create questions, invite others to solve them and finally have a tally on the leaderboard.
What it does
It currently lets you choose a category from one of the four available ones, to take a quiz on. It then gives you a time limit of three minutes to solve the quiz questions. In the end it provides you with statistics of your perfomance.
How I built it
I used React.js, scss, and tailwind css for the UI and Trivia Database questions from "opentdb".
Challenges I ran into
Currently, the user can select a track and answer questions specific to that particular track. Getting this done was quite a challenge. Multi-user support is not functional but I'm working on it.
Accomplishments that I'm proud of
I learnt how to make use of components, timer and working with fetch api. Though I have worked with React in past, I'm still trying to get a hang of it and hence, each time I learnt something new.
What I learned
I finally got tracks to work and I'm very happy about it.
What's next for Quiz App v2.0
1) Multiple players support and creation of personal rooms.
2) Being able to make your own quiz.
Built With
opentriviadb
react
scss
tailwind-css
Try it out
github.com | Quiz Me Now v2.0 | Quizzing my way around | ['Preet Shah'] | [] | ['opentriviadb', 'react', 'scss', 'tailwind-css'] | 29 |
10,336 | https://devpost.com/software/covid19_tracker | Illustration 1
Illustration 2
Inspiration
As developers it is our responsibility to spread awareness among people about Covide19 and its drastic challenges throughout the world. This project is aimed towards visualizing and showcasing data related to Covid in a more comprehensible way.
What it does
The project visualizes the affected people, death rate and recovered people throughtout the globe and also in their countries.
How I built it
I have built the project using react.js framework alongwith Material UI and hooks, extracting data related to covid through multiple apis.
Challenges I ran into
React.js was a relatively new framework for me, having worked mainly on Angular before. It was refreshing and equally challenging to learn this light-weight framework and third party integrations since in Angular mostly of the functionalities are provided already.
Accomplishments that I'm proud of
Learn and Create in the given time span.
What I learned
React and its multiple facets
What's next for Covid19_tracker
A much more elaborate platform involving donations and volunteer involvement using MERN stack!
Built With
api
apis
backplane-javascript
hook
hooks
javascript
material
react
react.j
react.js
semanticui
ui
uikit
vanilla
Try it out
github.com | Covid19_tracker | A user-friendly and up-to date tracker for a world drastically affected by Covid. | ['Sakshi Singh'] | [] | ['api', 'apis', 'backplane-javascript', 'hook', 'hooks', 'javascript', 'material', 'react', 'react.j', 'react.js', 'semanticui', 'ui', 'uikit', 'vanilla'] | 30 |
10,336 | https://devpost.com/software/buddy-wt0m4e | Mockup of our IOS app
Login Page
XCode Layout
Inspiration
Having used different habit tracker apps in the past, we've experienced first-hand how difficult it can be to consistently utilize such tracker apps on a daily basis. Often times, initially motivated users lose their momentum after a meager week, leading to a decrease of usage and ultimate burnout.
Through various life experiences, we've learned that exterior motivation is at times a factor necessary for individuals to consistently accomplish their tasks. This source of motivation is especially needed during quarantine, as due to the monotonous routine, it's very easy for individuals to lose a sense of purpose and drive. By having a friend witness their progress, this app holds the user accountable and adds an incentive for them to complete their tasks; it is a simple, yet effective method to keep the user productive, happy, and satisfied at home.
What it does
Buddy is a social habit tracker app that allows friends to keep each accountable through mutually accessible streaks and features aimed to motivate users to complete their daily goals. Users will sign up for the app with a friend (accountability buddy)– connecting through a uniquely generated code. Features of the this app include:
Add/remove personalized habits + mark as complete
Group streak that indicates the amount of total days both users have successfully stayed on track, which will be broken if one of the users fail to complete their respective tasks.
Chatbox to allow both users to communicate
Option to view friend's dashboard
How we built it
We used XCode to build the app from scratch, and we only started creating when the hackathon started. We referenced the designs we made through Figma, editing the storyboard and UI of the app. We used Firebase for user logins/authentication, as well as Firestore as a database to store user emails, messages, and the times they were sent. The habit page and chat box were created with table views, and we used custom xib files to design each cell, having every element adhere to our theme.
Challenges we ran into
Our team has very limited experience with the process of app development. In fact, only one team member has used XCode before the hackathon began, and she taught herself ios app development through an online course during quarantine. The rest of the members initially focused on design and layout, yet throughout the hackathon they learned how to edit the UI and create the interface in XCode, based on their designs.
We struggled with integrating all of the app's different functions – such as setting different constraints, integrating a chat feature, tracking streaks, etc. We initially tried to use Firebase to authorize Google/Facebook logins, but it was complicated to integrate that into the rest of the data, considering we had multiple local files to store the habits. In addition, working with XCode to commit, push, and pull different versions on our github repo proved to be challenging, as we were all using XCode on different laptops.
Accomplishments that we're proud of
We're proud of creating an app from scratch with minimal app development experience, as well as fully integrating our design into the storyboard and utilizing databases efficiently throughout the project. We're also proud of navigating through the version control problems in Github. Although two of the members didn't have experience with XCode prior to the hackathon, they were able to quickly learn and commit, pull, and push their changes to Github with ease. There was one issue with merging, in which a file was corrupted, but we were able to solve the problem together with adequate research and experimentation. As we were all beginners, there was a lot of patience and dedication required throughout these 48 hours in order for the project to be a success.
What we learned
The designers of the app gained more experience navigating Figma, and they were able to learn how edit the storyboard in XCode in order to display their designs. Throughout the process, everyone gained invaluable experience about the process of app development itself. We were able to figure out how to properly authenticate the users and store the messages in Firestore, as well as learn a more efficient debugging process when errors arose. By simply navigating and changing the interface, we learned how to more efficiently add constraints and format all the buttons, textfields, etc. to make everything cleaner and easier to edit. Additionally, we had to learn the code to create custom changes in the interface, such as rounding the buttons and editing navigation bars.
What's next for Buddy
We plan to implement a more advanced habit tracker, with additional options to set reflections, brainstorm long-term goals, group habits by genre (health, career, hobbies), and add weekly habits that allow users to further tailor the app to their own needs. Furthermore, we plan to implement a feature that allows users to provide reasons for a habit they failed to complete, which can then be rejected or passed by the other user. We also plan to better establish the display of user data on their profile page, including charts, graphs, and/or group statistics that demonstrate their progress throughout the year. Notifications can also be implemented to keep the user up to date with their progress and remind them of the tasks to complete. Users may be notified of their buddy's successes to incentivize them to also reach towards successfully accomplishing their goals, and they also have the option to send congratulatory messages to their friend in light of these notifications. With a more intricate process, hopefully users can receive a more elaborate, guided approach to actually achieving their personal goals and stay on track with the pressure of a trustworthy friend.
Built With
figma
firebase
swift
xcode
Try it out
github.com
www.figma.com | Buddy | A social habit tracker app designed to keep people mutually accountable. | ['Deya Liao', 'Maggie Guan', 'Jocelyn Li'] | [] | ['figma', 'firebase', 'swift', 'xcode'] | 31 |
10,336 | https://devpost.com/software/hey-alice-do-some-coding | logo
💡 Inspiration
Because of the special situation around the globe, my younger sister Alice doesn't need to go to school everyday. She only has to go to school bi-weekly which means that she can annoy me to teach her how to code. I love teaching but also wants to teach her that she can excel in coding with minimal guidance.
🤔 What it does
This is a web platform where I suggest projects to my sister and people who are beginning to code.
Usually,
🧰 How I built it
I build the website with Vanilla Javascript and nodejs. I utilized pug and scss to make my code reusable and readable.
HTML + CSS + JS (the usual)
Figma: Front-end prototypes and design
Domain: domain
mongodb: database
google cloud: for deployment of web application (if you cannot connect to the site, it means that I failed)
🤓 Challenges I ran into
It was hard to plan from scratch and building what I wanted to build.
Debugging video uploads were challenging because at some point in time, I continued on with coding (hoping that I can fix it after) before testing if my lines of code actually worked.
Also, I faced trouble when trying to deploy it to google cloud. (if you cannot connect to the site, it means that I failed...)
🤩 Accomplishments that I'm proud of
This is the first time I created a web application from the bottom up. Using Figma, I was able to create a logo and a prototype. Also, making a useful application that my sister will actually use is really meaningful to me.
👾 What I learned
It took me quite a while to finish the project because of the prototyping stage. However, I realized that doing a long-time commitment projects are
❤️ What's next for 'Hey Alice, do some coding'
The next step for me is to upload tutorials and resources that are helpful to beginners. Also, I want to add platform features that help people learn coding.
Built With
domain
figma
google-cloud
javascript
mongodb
node.js
Try it out
github.com | Hey Alice, do some coding | A coding education platform for my younger sister | [] | [] | ['domain', 'figma', 'google-cloud', 'javascript', 'mongodb', 'node.js'] | 32 |
10,336 | https://devpost.com/software/meow-tivational | I haven't built a website from scratch before, and I wanted to create something that I could actually use to help myself in every day life. My hack, on the surface, involved me understanding how to integrate HTML, CSS, and JavaScript using timers, buttons, and other commands. However, I learned a lot about the process of setting up a website and hosting it on GitHub. I was able to obtain a domain and get my website set up on Gitpages, but I could not quite figure out how to bridge the gap between the two. That's something I look forward to solving in the future.
On my website, you can read the instructions and click the start button. This launches a timer that counts down 15 minutes. During this time, you should try to be productive and do work. At the end, you'll receive a notification that asks you to determine if you were productive or not. If you were, press yes, and you are rewarded with a picture of a happy cat. If not, you get a disappointed cat, which is a feeling no one likes. You can restart the process by pressing the start button. All pictures disappear and the slate is clean. I think this will help me have a bit more motivation to be productive during the 15 minute interval.
In the future, I think it would be interesting to go further by randomizing the happy and sad images so you get a new image every time. Currently, the website depends on your own honesty to reward or chastise you. However, it could be more helpful for people with limited impulse control to somehow track sites you've been on and determine if you deserve a happy or disappointed cat picture based on what you did. I'd also like to make the animals shown and the lengths of time customizable so different people can decide how they want to spend their time.
This was my first hackathon and first web project, and I am proud that I was able to produce a good foundation for future projects, and am excited to actually use it to be productive myself!
Built With
atom
css
github
html
javascript
Try it out
github.com | Meow-tivational | We all get off-track when we have work to do. When this happens, I swear my cat judges me. I decided to test what it actually feels like to be judged by my cat for not focusing. | ['Sarah Habib'] | [] | ['atom', 'css', 'github', 'html', 'javascript'] | 33 |
10,336 | https://devpost.com/software/sully | home page
conversation with sully on chatbot page
mission & intro to sully in about page
categories of businesses & locations sully currently provides in its suggestions
Inspiration
With the COVID-19 lockdown and economic crisis hurting business everywhere, we sought to create a chatbot that could help us connect you with local businesses that especially need support during this time. We've created and easy to use chatbot that will provide you with businesses for all your wants and needs, food, services, and more! To make a direct resource for people to find local businesses in their area to support, we developed Sully, a chatbot that gives you local business recommendations based on what you need. No more filtering through bigger businesses or chain companies to find local gems!
What it does
When the user enters their zip-code and the category of business they want to visit, Sully will return recommendations. More information is on our
website
How we built it
Sully is a chatbot built with AI/ML through Dialogflow. After a user types something, it gets sent to a Flask script which processes the data, retrieves any necessary information from our Cloud Firestore database in Firebase, and returns it to Dialogflow. Our Flask script is deployed on Google Cloud App Engine and uses a webhook to send a fulfillment message to Dialogflow. To get the initial data in Firestore, we built a web scraper using python.
Challenges we ran into
This was our first time working with Dialogflow and we were not very proficient in Python so it was a challenge learning the technologies. To get Dialogflow, Flask, and Firebase connected, it was a lot of networking and sending data to the right locations and in the right format, which took time to figure out. Deploying Flask to Google App Engine was also difficult since we had little experience with GCS or Flask.
Accomplishments that we're proud of
We're proud that we were able to build a chatbot using AI for the first time and learn new technologies along the way.
What we learned
Michelle: I personally got more comfortable with Python, HTTP Requests, and learned Dialogflow. Since most of the technologies we used were apart of Google Cloud Services, I had to learn how to use the console and read the debug logs. I understand where data is actually going a bit better now.
Tracy: This was my first hackathon, so I learned so much, especially since this was my first time making a project that isn't a mobile app. I learned how to use Dialogflow and got more familiar with working with Cloud Firestore as well as the concept of web scraping.
We (the team) learned a lot about how important it is to choose the right technologies and outline our idea before building on it. Choosing the right languages and libraries to use and knowing where all the data is supposed to go makes coding a lot easier.
What's next for Sully
In the future, we want to expand Sully's database to more than the six cities we currently have. We also want to allow the user to have better conversations with her. Right now the only way to access Sully is through our website, but in the future we want to support more platforms.
Built With
botcopy
dialogflow
firebase
flask
google-sites
python
Try it out
sites.google.com
github.com | Sully | A chatbot that supports local businesses by suggesting those in your area | ['Tracy Wei', 'Sonnet Xu', 'Michelle Nguyen', 'Lavanya Sharma'] | [] | ['botcopy', 'dialogflow', 'firebase', 'flask', 'google-sites', 'python'] | 34 |
10,336 | https://devpost.com/software/avatar-battle-arena | Gameplay
Win Screen
Title Screen
Controls Screen
Inspiration
We love Avatar the Last Airbender!
The full show was recently added to Netflix and was met with much popularity so we thought it would be the perfect time to make an Avatar themed game. We wanted to make a game and challenge ourselves so we chose to make a game similar to ones that we often play.
What it does
Strategy battle simulator similar to chess, inspired by games such as Dota Auto Chess and TFT (Team Fight Tactics). You can build your army from each of the four nations to take on the AI. Not only does it have a lot of depth and tactics, but also is quite enjoyable to play with several cheerful animations and an engaging background.
How I built it
We built it using the Unity game engine and C#. We used GitHub to share and download each other's code as well as communicate with each other what our code does.
Challenges I ran into
-Not only was it our first time using a game engine, but it was also our first dive into C#.
-Dealing with numerous merging errors with GitHub since we often edited the same files.
-State machine problems
-Randomizing a shop with 60 different possible buttons
-First time animating
-Adding special effects
-Path finding
-Enemy AI
Accomplishments that I'm proud of
We had excellent team work with everyone having a unique role and communicating our ideas well. If there was a major problem, we were able to all get together and work it out as we all had a different perspective.
What I learned
-How to work well as a team
-How to use a game engine (Prefabs, sprites, scripts, etc.)
-Basics of C#
-Animations
-State Machine
-Randomization
What's next for Avatar: Battle Arena
We hope to improve the game by adding more units and abilities. We also hope that we can add an option where you can play against friends and people online. If it reaches the level of quality that we want to achieve, we could possibly host it on an online server or publish it on a video game distribution service such as Steam.
Built With
c#
unity
Try it out
github.com | Avatar: Battle Arena | We made an Avatar the Last Airbender themed strategy game using C# in the Unity game engine. | ['Mike Hulcy'] | [] | ['c#', 'unity'] | 35 |
10,336 | https://devpost.com/software/sunflower-productivity-tracker-8kr5mi | Inspired
We have noticed as we get more used to staying at home, our productivity levels have gone down dramatically. We have spent a lot of our time sleeping, using social media, or eating when we should really be using this time at home to get stuff done or enjoy it with family.
What it does
As you input your daily accomplishments into our Sunflower Productivity Tracker, the tracker will give you five points for each task you did. As you gain more and more points, the sunflower will grow from a small seed to a beautiful sunflower in full bloom! This serves as a motivation to stay productive throughout the day so you can see a beautiful sunflower and feel accomplished.
How we built it
We built this site on Glitch and used HTML, CSS, and Javascript.
Challenges we ran into
One of the challenges we ran into was getting our Javascript code to work.
Accomplishments that we're proud of
We are proud of our usage of CSS because we were able to divide the different components into our page into a header section and two other sections that split the screen.
What we learned
We started coding for the first time this week so this was one of our first projects, so we learned a lot! We learned how to embed Google Fonts, how to use CSS container divs to create the layout of what we wrote in HTML, and how to use Javascript to reference what we wrote in HTML.
What's next for Sunflower Productivity Tracker
We want to continue to use it to help prevent ourselves and others from falling into the trap of being unproductive at home. We would like to make it so that when you type in tasks that you did that include keywords such as social media, sleeping, or eating, that the tracker blocks the action and does not reward you with any points.
Built With
css
html
javascript
Try it out
sunflower-productivity-tracker.glitch.me | Sunflower Productivity Tracker | As you input completed tasks, your sunflower grows from a seed to a full bloom! | ['Genevieve Chin', 'Roselyn Chin'] | [] | ['css', 'html', 'javascript'] | 36 |
10,336 | https://devpost.com/software/flex-lwjqso | Dashboard of App
Inspiration
After I began working from home due to quarantine, I realized that I was moving a lot less than before. Consequently, I had more discomfort from hunching over a computer 8 hours a day. This app is meant to make users more mindful of their posture and their activity (or lack thereof).
What it does
This mobile app runs like a Pomodoro timer alongside your workday. Every twenty minutes, it encourages the user to do a 100-second flex session, which consists of 5 stretches and exercises for 20 seconds each. Successfully completing a flex session earns the user experience points, which allow them to level up.
How I built it
I built this app with React Native, so it should run on both ios and android. I set up authentication and user management with AWS Amplify and AWS Cognito. I managed the user data with Google's Firebase and FireStore.
Challenges I ran into
I started working with JavaScript a week ago, and due to that and the nature of the language, I had a hard time debugging. Many errors would be very cryptic, and I would often cause more bugs while trying to figure out what went wrong.
Accomplishments that I'm proud of
This is the first mobile app I've created, and I'm pretty happy with the end result. Although any project can be more 'complete', I'm happy to say the project is pretty complete. Also, I'm pretty happy with the UI.
What I learned
This was my very first time working with Firebase and Firestore. Initially, I was apprehensive and considered switching to AWS services, which I am slightly more familiar with. But I'm glad I pursued Firebase because I found using it to be much more intuitive and simple than using the equivalent AWS service.
What's next for Flex
I plan on further gamifying flex to make it fit more naturally into the workspace. Adding friend functionality, statistics on flex sessions, and creating a virtual reward to incentivize users would make the app more complete.
Note on Demo
Flex requires the user to space their flex sessions 20 minutes apart. In order to demo this project quickly, several settings have been edited during a time when I should have been sleeping.
Built With
amplify
expo.io
firebase
firestore
google-cloud
javascript
react-native
Try it out
github.com | Flex | Erasing the Pain of Remote Work 20 Seconds at a Time | ['Manasi Ramadurgum'] | [] | ['amplify', 'expo.io', 'firebase', 'firestore', 'google-cloud', 'javascript', 'react-native'] | 37 |
10,336 | https://devpost.com/software/cheer-squad | Inspiration
Cheer Squad is a virtual peer group for girls to hold each other accountable during the quarantine. You can instantly matched with a small group of like-minded peers in your area and join the daily virtual standup meeting to report progress, share obstacles, get advice, and celebrate achievements together while alone together during the quarantine. Find internship together, share resources for research and study, or virtual sleepover for just fun!
https://cheersquad.space/
today!
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Cheer Squad
Try it out
cheersquad.space | Cheer Squad | Cheer Squad is a virtual peer group for girls to hold each other accountable during the quarantine. Share resources for study, find internship together, or virtual sleepover for just fun! | [] | [] | [] | 38 |
10,336 | https://devpost.com/software/celebrating-diversity-through-tech | Inspiration
We wanted to create a program that celebrates diverse cultures and identities. Diversity is so important, and it is definitely something that should be celebrated. Diversity allows for discussion, debate, and progress, and it helps improve our understanding of both ourselves and the world around us. By sharing music, books, and podcasts that represent and celebrate diversity, we hope to empower and amplify the voices of minorities and marginalized communities everywhere. Music, books, and podcasts are unique and effective forms of communication that connect and resonate with so many people despite distance or time, and making people feel seen through diverse representations can help cultivate a culture of support and inclusivity both in the virtual and real world.
What it does
By texting “LEARN”, the app gets the current month and sends a text back, listing the observances in the given month and introducing you to its features. The user may text back one of the following numbers (a number corresponds to an observance from the current month) to learn more and get recommendations for media that represent and celebrate the cultural community.
The app first retrieves a summary of the observance from Wikipedia. For the media aspects, the app takes a Spotify Song Playlist ID to send a request to retrieve the title, artist, and link of a randomly selected song, outputs the name and link of a Spotify podcast, and retrieves the information randomly selected book from a list of authors through a query to the Google Books API.
How we built it
Initially, we had to decide what types of media to include like music, podcasts, recipes, books, movies, articles, famous individuals, facts, or quotes. Eventually, we settled with music, podcasts, and books because they are applicable to all celebrations and are the most engaging. Thus, we gathered a
list of Spotify playlists for music, a selection of podcasts, and names of authors to retrieve books for each celebration
.
The app is coded with Python and Flask and deployed with Heroku. We used several API’s (Twilio API, Spotify API, and Google Books API) in our app to retrieve the desired media information.
On Heroku, we added some configuration variables for the Spotify API which requires a changing token generated by Spotify access credentials. Our project loaded a JSON we wrote that contains information for our API requests (ex. the observances for the month and related Spotify Playlist ID and authors relating to each observance).
We designed the app with the idea of simplicity and easy use. We worked on ensuring that the content was in a clear and readable format, and we included links to the songs, podcasts, and book preview to allow for easy accessibility.
Challenges we ran into
We had trouble querying the Spotify Podcast API which was recently introduced a few months ago. Furthermore, there was a character limit on the text, so we had to truncate the size of the summary from Wikipedia. Another challenge we faced was that not every month had a celebration, which we overcame by creating a default message that links to a website on inclusivity and diversity. Also, we tried to include as many month-long celebrations as possible based on
Wikipedia’s list of month-long observances
, yet we understand we may have been limited and unable to include many other important celebrations.
Accomplishments that we're proud of
This is the first time we’ve ever used Flask and successfully deployed an app through Heroku. This is also the first time we’ve used several API’s in one application and the first time using the APIs for Twilio, Spotify, and Google Books. After scrolling through tons of documentation and conducting many tests, we are glad that we could integrate the APIs in our application!
What we learned
Through gathering a list of Spotify playlists, podcasts, and authors, we were able to learn more about diverse cultures and identities. We learned a lot about various celebrations and increased our cultural exposure, which has inspired us to learn more about these unique communities and help amplify their voices,
What's next for Celebrating Diversity Through Tech
In the future, we hope to add more celebrations and more media types like recipes, quotes, and important figures from diverse and marginalized communities. We want to expand this program by including holidays like Juneteenth and cultural New Years. Also, we hope to work on code optimization.
Built With
flask
google-books-api
heroku
python
spotify
twilio
wikipedia-library
Try it out
github.com
youtu.be | Celebrating Diversity Through Tech | Celebrating Diversity is an accessible way to learn about diverse cultures and identities! Text to get recommendations for books, podcasts, and music that represent and celebrate these communities! | ['Michelle Ly', 'Kelly Ly'] | [] | ['flask', 'google-books-api', 'heroku', 'python', 'spotify', 'twilio', 'wikipedia-library'] | 39 |
10,336 | https://devpost.com/software/diversity4all | Inspiration
Minorities in tech often struggle to locate and gain access to resources and opportunities, however organizations like NCWIT (National Center for Women in Technology) and AISES (American Indian Science and Engineering Society) aim to bridge the gap. We realized that knowing about these opportunities in one place would help many people.
What it does
Diversity4all is a place where minorities can find resources and opportunities as well as information about the gender inequality in tech.
How we built it
The main two parts of our product are the quiz to direct users to relevant opportunities for them and the rest of the website that allows users to navigate to interesting resources. We used Google Forms for our quiz portion, and js, html, and css for the website. We researched many resources available to minorities in tech and narrowed down our choices to fit our website. We tried our best to include all minorities in the resources we provided.
Challenges we ran into
Most of us were fairly new to HTML and CSS, and we had trouble at first building our project. However we used slides from a workshop, Build and Deploy Your First Website, from Hack Girl Summer, as well as independent research and prior knowledge to help us build our project. We also had trouble connecting our domain to our GitHub repository.
Accomplishments that we're proud of
We have a working product, and are proud that we chose an idea with great potential for social good. Diversity4all could potentially guide many minorities to opportunities they had never heard of, or had access to. The survey allows users to access tailored opportunities for them, which we think can have a positive impact. Also, we were fairly new to web development and to participating/competing in hackathons, so our effort was commendable.
What we learned
We developed our HTML, JavaScript, and CSS skills as well as our graphic design skills.
What's next for diversity4all
One aspect we planned to include, but did not have the chance to, was a networking map that connects users from around the world. Each user could be represented by a single dot on a location of the map, and as users hover over the map, they could view the user’s profile from their location and connect.
Built With
css
html
javascript
Try it out
github.com
diversity4all.tech | diversity4all | Explore resources and opportunities, specifically aimed at minorities in tech—all in one place. | ['Christina Tan', 'Alice Wang', 'Vicky Zheng', 'Kripa Srinivasan'] | [] | ['css', 'html', 'javascript'] | 40 |
10,336 | https://devpost.com/software/puzzlevr | logo
Inspiration
For my project, I decided to deal with one of the many problems that the world is facing because of COVID -19. Many people across the world are stuck in their homes and will continue to be for the foreseeable future, thereby canceling many vacations and trips. As a result, nobody will be able to see the amazing venues across the world.
What it does
I decided to create a simple application for people to play with; to pass time and provide a source of entertainment. It consists of a (graphic user interface) game. The user will try to put together a scrambled picture of a randomized famous place somewhere around the world. If they are successful, and ending screen with a button will show up. Once they press the button, it will redirect them to a link in their browser, and they have the opportunity to view the image in virtual reality (as a way to try to simulate their visit since they likely won’t be able to visit it). With this project, people are able to play the game and virtually see some hand-picked places; the Colosseum, the Beach, the Eiffel Tower, the Sagrada Familia, or/and fireworks. Hundreds of pictures can easily be added. This game is a fun pastime for people who are bored at home with nothing to do during the quarantine.
How I built it
The code for the program was written entirely in Java. For the VR, I used A-Frame on Glitch online. The picture was a 360-degree photo from the web integrated using HTML.
Challenges I ran into
Finding a way to shuffle the order of the photos, as well as coding an algorithm that could constantly detect if the user has solved the puzzle. For the first challenge, I ended up creating two arrays of JButtons with action commands, and for the second challenge, it was solved using nested for loops.
Accomplishments that I'm proud of
Coding the entire project myself
Finding a way to incorporate HTML in a Java Gui
What I learned
How to incorporate URLs for both links and attaching images using links (instead of file path/location because it isn't accessible for everyone or differs by person)
Lots of 2D data structure algorithms
What's next for PuzzleVR
Allowing user to choose size of puzzle (row and columns)
Adding a wider variety of photo choices
Allowing user to choose puzzle photo
Finding better quality + more accurate 360 degree versions of each landmark
Built With
a-frame
gui
html
java
Try it out
www.github.com | TravelFromHome | An entertaining and interactive puzzle simulating a travel destination, allowing users to pass time and enjoy the outdoors without leaving their house and breaking health regulations. | [] | [] | ['a-frame', 'gui', 'html', 'java'] | 41 |
10,336 | https://devpost.com/software/techsupport | Inspiration
Since the tech industry is predominantly male, I thought about the little microaggressions and impostor syndrome that is prevalent in the workplace. By providing people with a space to report disruptions in the work environment, it can help CEOs improve relations and make the female workers more comfortable in the workspace.
What it does
Employees can write down any general complaints about the social environment and it will be stored in a database that only the boss can access
How I built it
I used mainly firebase to store all of the information and the user inputs the information anonymously.
Challenges I ran into
Storing the data in the realtime database, also had to create the project last minute. My original idea was a 2d platformer where characters had to overcome "doubt" to achieve their goals (medals), and if they reached the end they would become a "true" programmer.
Accomplishments that I'm proud of
Creating a project last minute despite not having the first idea work out. Making the database functional and learning how to utilize firebase.
What I learned
I learned how to use firebase and implement it into web apps. I also learned a little bit about unity despite not completing a full platformer game.
What's next for TechSupport
Working on storing the data locally and fixing the sign in feature. Including motivational messages to empower those who may be discouraged and unconfident.
Built With
css3
firebase
html
javascript
Try it out
supportgirlsin.tech
flin1.github.io
github.com | TechSupport | An site that seeks to end workplace harassment and microaggressions by allowing users to anonymously report problems in an effort to improve the workplace environment | ['Fay Lin'] | ['MLH: Best Domain Registered with Domain.com'] | ['css3', 'firebase', 'html', 'javascript'] | 42 |
10,336 | https://devpost.com/software/arcade-uj2tfa | Sign Up page
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Inspiration
We all know men in STEM - Bill Gates ,Elon Musk , Dennis Ritchie ,Mark Zuckerberg and the list goes on. What about women in STEM ? Lets see how many you do know already !
Currently there is a significant lack of professionals in STEM field. Specifically, women are underrepresented in STEM fields, despite making up half of the workforce. Career interests are often developed in the middle school years; thus increase the pool of STEM professionals, , it is necessary to spark interest in STEM at an early age. We have gone the Game Based Learning (GBL) way!
GBL is an effective approach as it utilizes gameplay with educational content to create and engaging environment where students can practice concepts in a real world context. However, computer and video games have historically portrayed females in stereotypical and unhelpful ways. As a result many of female gamers hesitate to play certain games, experience negative gaming experiences when they do play certain games, and this detracts from the number of female gamers. We've created games that are welcoming to females as well as effective in its learning goals.
Checkout Uravelling CSS magic Here:
https://youtu.be/_-4kMQle1Q8
;
What it does
We have two games and a fun learning module on our console - Memory game, PacWoman (Yes, you heard it , we recreated traditional pacman but named it pacwoman !) and a fun way to learn CSS and its #D transforms to add animations in webpages. Memory game is a game where you match tiles but with a twist - It comes with names of famous women in STEM ! Play it and get inspired by fellow women in tech, become aware about women in STEM and become one too !
How we built it
We used HTML5 canvas,Js ,Css,Bootstrap & Firebase for authentication. The games have been built using CSS, javascript and Bootstrap with HTML5 and CAnvas playing their part.
Challenges we ran into
It was challenging to get the animation right and simulate the environments as we designed them to be.
We spent some time making all modules compatible to get them up and running.
## Accomplishments that we're proud of
We tried to build something that encourages young girls to part of STEM community.
While creating the games, we explored some new functionalities of Bootstrap and Javascript that we weren't aware of too.
It was awesome creating the CSS learning path module. The great thing about it is that it's created completely using CSS to teach CSS in a fun and easy way.
What we learned
We learned a lot about creating games, especially with HTML5 and JS.
The best part was using tools like JS, Bootstrap, CSS to create interactive games like these.
What's next for Arcade
We plan to add more games to help break the stereotype and inspire more women to take up a career in stem! The idea is to create more games which encourages women to be part of this amazing world of STEM. We have two more games in pipeline
A women centric SUPER MARIO Sisters where, our MARIO girl saves the king by utlising her knowledge of physics and chemistry and crosses multiple levels.
A physics based game to gamify the experience of learning quantum physics concepts like: reflection, circuit theory and fluid mechanics.
Built With
bootstrap
css
firebase
html
javascript
Try it out
github.com | Sisters' Arcade | Breaking the Stereotype and empowering women to take a career in STEM | ['Sara Vanaki', 'Shreya C', 'Trusha Talati', 'LAISHA WADHWA'] | [] | ['bootstrap', 'css', 'firebase', 'html', 'javascript'] | 43 |
10,336 | https://devpost.com/software/recogx | Helping hand in recognizing skills
Splash Screen - iOS App
Home Page - iOS App
About You Page - iOS App
Profile Page - iOS App
Resume Analysis Page - iOS App
Analysis Result Page - iOS App
Explore Opportunities Page - iOS App
Inspiration
Participating in Hack Girl Summer gave us the chance to explore one of its partnered tracks of gender equality in the field of technology. As girls in the tech field, we have faced many problems finding opportunities to grow and flourish in our chosen careers. Hence, with the idea of reCogX we wanted to reach out to as many people as possible.
What it does
Our team at reCogX aims to help people find their true calling and opportunities that help them build their careers. We give special attention to women and underrepresented groups who often find it tough to have workplace equality. We connect them to focussed communities where they can connect and help out others who might face the same problems.
Our site gives you a tailored experience at a job search on the basis of your resume. It gives job listings of companies registered under RecogX, which are women-led. Hence, we find the best opportunities that you deserve.
We also present you with Clara, reCogX’s virtual assistant which will make your experience with the app very smooth and comfortable. From FAQs to small talk, Clara is your personal assistant in your career’s journey.
How we built it
We have come up with an iOS App and Web App for the usage of the user. Web App front-end is made using reactJS and back-end using node.js. The iOS app is built with swift. We have used google cloud services like dialogflow to power Clara, reCogX's virtual assistant, and documentAI to parse the resume. The WebApp and iOS app are linked to a firebase database to incorporate all functionality. Job opportunities are searched on the basis of skills through web-scraping data from the net.
Challenges we ran into
A project like this has many features that can be implemented, but need more time to do so. Our parser API (documentAI by Google Cloud Platform) is free and opensource, which has a lot of limitations and is not as powerful as other paid APIs.
Accomplishments that we are proud of
Our team has worked tirelessly over the weekend to build this project and are extremely proud of our accomplishments. We managed to deploy a
fully-functioning chatbot
(Clara by reCogX), used a basic
document OCR
to extract skills from a PDF Resume, and also provide a platform for companies to
post job listings
, by using
GCP services
. And all these functionalities were wrapped up in a web app as well as an iOS app.
What we learned
One of the most important things we've learned during this project is utilizing GCP services. We have worked with Firebase, Jobs API, DocumentAI and Dialogflow in our app. Other than that we learned how to integrate each feature developed by individuals and putting out a complete product as a team.
What's next for ReCogX
We wish to take this to the next level. Approach women-led companies and underrepresented communities to post job listings on our platform, and promote this culture. We want to work on improving this product further - by making our parser AI more powerful to study topics other than job skills, making job search easier. In futures scope of the project, we plan to introduce a mentor system where a user can get tailored advice on improving his/her resume.
Built With
css
dialogflow
firebase
gcp
google-cloud
html5
ios
javascript
python
react
swift
Try it out
recogx.tech
github.com | ReCogX | RecogX helps analyse key skills from your resume and helps you jumpstart your career | ['Ananya G', 'Iishi Patel', 'Garima Bothra', 'Eesha Shetty'] | [] | ['css', 'dialogflow', 'firebase', 'gcp', 'google-cloud', 'html5', 'ios', 'javascript', 'python', 'react', 'swift'] | 44 |
10,336 | https://devpost.com/software/hack-away-the-boredom | Home Page
Games/To-Do List Page
What Do I Do? Page
Inspiration and About Me
I am a rising High School Junior who is interested in Computer Science. My passion towards CS/programming has helped me self-learn many technologies including the ones used for this Hackathon project.
I have worked individually on this project and wanted to get a simple, yet effective interface to make the COVID-19 downtime a more fun and productive time.
What it does
The onset of COVID-19 has forced school aged children to stay at home and maintain social distancing. This has also opened up unlimited screen time for these kids who are now free to play online games.
The goal of this hack is to create a reward-based game/to-do list system that parents/kids can maintain and manage the online gaming time for kids.
This hack aims at instilling discipline and responsibility while making it fun to do the assigned tasks.
I have also included a list of tasks that can be completed for fun during the pandemic. The website has the following features:
1. Interesting ideas to have fun during this downtime
2. To do list to display tasks to be completed
3. Interactive game as a reward
How I built it
I used HTML/CSS/JavaScript for the website. As I finalized my idea, I designed the website, various pages, coded the functionality, and validated a few scenarios with game rules and the to-do list.
Challenges I ran into
I had some challenges with JavaScript and debugging my code given that I was working alone with a time crunch. However, I was able to figure it all out!
Accomplishments that I'm proud of
I am proud of the design for the website that I came up with after experimenting for a bit with various styles. I am also glad I was able to bring some functionality to the website. I was able to gain more experience in front-end development.
What I learned
It was fun developing the website. I learned a lot of the CSS functionalities and the flexibility of HTML/CSS/JavaScript in bringing ideas to life. This project has given me various ideas including expanding the capabilities and also possibility of migrating it onto a mobile app
What's next for Hack Away The Boredom
The functionality of this website can be extended further by adding more interactive games, assigning a time limit or a count limit on the number of times a game can be played, and asking the kid to complete more to-do items to earn game time. The functionality can also be further improved by integrating a database and by displaying charts on the time spent on playing, etc.
Contact
Please reach me at
diyadinesh19@gmail.com
if you have any questions
Built With
css
html5
javascript
Try it out
github.com | Hack Away The Boredom | Have fun while being productive! | ['Diya Dinesh'] | [] | ['css', 'html5', 'javascript'] | 45 |
10,336 | https://devpost.com/software/awhere-s064yb | Inspiration
There are a lot of humanitarian issues that are not getting the coverage that they deserve. We wanted to come together to teach people more about these issues and have them be able to donate and sign petitions quickly and easily.
What it does
It's a website that takes you to different pages on different social issues and gives you a rundown of the topic and provides you with resources to learn more about the topic, sign petitions, and donate to the cause.
How we built it
We built this using html5, javascript, CSS, google, and Kode With Klossy Scholars and Alumni.
Accomplishments that we're proud of
We are proud of being able to make this website and be able to teach more people about these issues.
What's next for aWhere
We want to keep updating the website and adding more issues and resources to give users a comprehensive guide to what is going on in the world around us.
Built With
css
html5
javascript
Try it out
awhere--samyuktasainath.repl.co | aWhere | aWhere is a website created to teach people about global humanitarian issues in a quick and easy to use format. | ['Karla D', 'Samyukta Iyer', 'Maya Bielawski', 'Nasrin Ali', 'Amina R'] | [] | ['css', 'html5', 'javascript'] | 46 |
10,336 | https://devpost.com/software/covid-chance-tracker | Inspiration
This project was designed for the MLH Hack Girl Summer hackathon; for some being one of their first virtual hackathons. We wanted to get our hands on new frameworks and solve a current issue, so we considered problems in our community. As college students, it made sense to design a 'rating scale' that would allow us to gauge how high our risk of transmission was to COVID-19, as we start to reenter society.
What it does
Depending on your exposure to others due to your destination location, busyness, industry type, your transportation method, and level of PPE, we generate a value that approximates your risk of contracting COVID-19. (the calculation has not been implemented yet).
How we built it
We created our COVID-19 web app using React (HTML/CSS/JS) for the frontend and Node.js and Express.js for the backend which involved implementing the Google Maps API.
Challenges we ran into
We ran into challenges when connecting our frontend and backend work. Initially, we started to use Django for the backend but found there were issues with the project structure and ran into difficulties when integrating it.
Accomplishments that we're proud of
We're proud of developing a front end that showcases our vision for the web app and we're proud of creating a useful product that raises awareness for the safety precautions that should be taken upon reaching a destination.
What we learned
Our backend developers gained experience with Node.js and Express while our frontend developers gained more experience with React and additional React frameworks/libraries (Blueprint.js, Sass).
What's next for covid-chance-tracker
The next steps for the COVID Chance Tracker would be to integrate Django because it better fits our needs. We also plan on including increased warnings for individuals with diabetes, heart diseases, and immunosuppression. As this project is unfinished, we're planning on refining how we calculate the risk score (right now there is an arbitrary system in the works but a future plan is to use ML that takes into account current research to derive a score).
Built With
css
express.js
google-maps
html
javascript
node.js
react
Try it out
github.com | covid-chance-tracker | Simple website for consumers to gauge how high their risks of COVID-19 transmission are based on destination, group size, and PPE level. | ['Areena Akhter', 'Dana Zarezankova', 'Simran Thind', 'Amy Wang'] | [] | ['css', 'express.js', 'google-maps', 'html', 'javascript', 'node.js', 'react'] | 47 |
10,336 | https://devpost.com/software/bridge-the-gap-wrpedk | Logo
Personal Journey
Frequently Asked Questions
Personal Profile
Opportunities
Feed
HomePage
More Info
Inspiration
Women make up 47 percent of all employed adults in the U.S., but as of 2015, they hold only 25 percent of computing roles, according to data from the National Center for Women & Information Technology (NCWIT). While women are underrepresented in STEM fields both in college and the job market, there are even fewer women of color in them. According to the NBC Project, out of all female doctorate graduates in the fields of science and engineering, 86% are white or Asian. Fewer than 4% are Latinas, and less than 3% are black.
For young women in tech, it can feel intimidating and overwhelming being so underrepresented at school and in the workplace. We wanted to build an application to inspire them to change this fact. We believe one of the best ways to empower underrepresented communities in tech is to show them that they are not alone and what can be achieved in tech. There are already many applications that just create mentor-mentee relations. We wanted to go above this and foster mutual relationships with an initial focused purpose. Bridge The Gap is a place to connect with other women in STEM, share your experiences, and learn from others.
What it does
We foster a community of women helping women through a variety of means.
Ever feel isolated and want to see how other women like you are succeeding in the field?
In the feed tab, you can see what other people in the community are up to. Here you’ll see posts about other womens’ work and achievements. Click on their posts to learn more about them! If you want to reach out to them, hit request connection to send them a message.
Have you ever missed an opportunity just because you weren’t aware of it?
In the opportunities tab, find different ways to advance your career and get involved. Get links to different organizations, scholarships, conferences, and other resources for learning.
Have a question you’ve been wondering about the field?
In the Q&A tab, see answers that mentors and professionals in the field and academia have written for questions asked by our community. View general questions about the website, how to advance your studies or career, and help with interview questions.
Need some help on a certain task?
On your profile, you’ll see two sections: things I can help with and things I want help with. As you learn more, you can edit these sections to show off your skills and offer to others. People can request to connect with you, and you can share your skills with them as well as ask them about the things they can help you with. This helps introduce and connect you to other women who can further your growth in your studies or career and create lasting relationships.
Want some way to showcase just how far you’ve grown?
Further down on your profile, you can see your timeline with all your achievements you have made in tech. See what you have learned on your journey and add more as you go!
How we built it
Frontend:
The website is created using React along with Bootstrap and Material UI design libraries.
Backend:
The api was created in Node.js using Express to connect to the database and MongoDB as the database to store user info, posts, questions and opportunities.
DevOps:
The server is hosted on GCP App Engine and the website is hosted on GCP Firebase and deployed on Domain.com
Challenges we ran into
We ran into some challenges with conditional rendering of the navbar when signed in / signed out. We also ran into some challenges with routing of dynamic user profiles and creating states in them along with passing information from dynamic pages to static components.
Accomplishments that we're proud of
We are proud of using all our own assets. The design library we chose was missing a component that we needed, so we did most of the CSS styling on our own which we hadn’t in a while.
What we learned
We learnt more about rendering and routing in React. We also learnt a lot more CSS and styling.
What's next for Bridge The Gap
We would like to have the ability to let users ask their question in the Q&A section
A future feature would be getting matched with peers and/or industry mentors based on mutual interests
We would also offer a digital public forum where all users can discuss all things tech related
Built With
bootstrap
express.js
firebase
gcp
google-app-engine
javascript
mongodb
node.js
react
Try it out
github.com
mlh-bridge-the-gap.web.app | Bridge The Gap | Connect with other women in tech! | ['Reshmi Ranjith', 'Megan Tran', 'Saloni S', 'Medha Jonnada'] | [] | ['bootstrap', 'express.js', 'firebase', 'gcp', 'google-app-engine', 'javascript', 'mongodb', 'node.js', 'react'] | 48 |
10,336 | https://devpost.com/software/positive-me | It's been a difficult and challenging few months for all of us in lockdown. Sometimes we need a little reminder that we are not alone and that we are loved!
I decided to use this wonderful opportunity to learn how to create a Flutter app for the very first time! After a whole evening trying to install Flutter and many YouTube videos later, I managed to hack this colourful app up! It's been a great learning experience - trying new things!
Built With
dart
java
objective-c
ruby
Try it out
github.com | Positive Me! | Just a much needed note for all of us in lockdown :) | [] | [] | ['dart', 'java', 'objective-c', 'ruby'] | 49 |
10,336 | https://devpost.com/software/lift-xqy3hv | Inspiration
Due to pandemic we have more free time, therefore, more chance to gain new skills and to make small steps to be a better version of yourself.
What it does
We created a site with everyday challenges. In addition, we added some motivational and inspiring facts from biographies of women who made valuable contributions to our society.
How I built it
We used HTML and CSS to create our website. Since we are freshmen, we used a template and changed it according to our idea.
Challenges I ran into
We couldn't adjust some pictures and we couldn't add women in the history part.
What's next for LIFT
We are planning to make it as a calendar and add inspiring facts from great women's lives. In addition, we are planning to make it as a mobile application.
Built With
css
html
Try it out
github.com | LIFT | Challenge and inspiration for self-development | ['Aslı Zeynep Boyar'] | [] | ['css', 'html'] | 50 |
10,336 | https://devpost.com/software/period-game | Inspiration
A girl’s first period can be traumatizing, confusing, and shocking to experience when it happens. Oftentimes, girls have expectations or ideas about it that are not realistic. Much of this can be attributed to the stigma around talking about it. Introducing My First Period, an interactive game like application that allows young girls to learn about the realities of menstruation and resources available for them in a way that is easy to understand.
What it does
My First period is an interactive game that follows a woman’s journey through menstruation in order to better educate young girls. The purpose of this application is to raise awareness for the realities surrounding menstruation in order to help young girls prepare and have a realistic idea of what it feels like.
How I built it
This web browser game was built using Twine for front-end, which uses JavaScript, html, and CSS to create a interactive game. We used Firebase as our back-end.
Challenges I ran into
We ran into difficulties when deciding the tech stack and how to begin as none of us had experience with game design going into this. We also ran into problems when trying to connect the front end to the back end and when coming to the point in which we needed to find a third party, such as Firebase, to host our project. We found ourselves enjoying the challenge which helped us persevere and overcome it.
Accomplishments that I'm proud of
We’re very satisfied with the end result and how it turned out given that none of us had any idea about the elements that went into game design at the beginning of this. We’re also very proud of the way we all came together to create a product that met all of our standards and how we were able to effectively communicate with each other.
What I learned
We learned a lot about the different components that go into designing an interactive game based application. It was an interesting process and much different than a simple web app since we needed to design visuals and think about audio choices to enhance the user experience.
What's next for My First Period
My First Period will be expanding to all mobile platforms to increase user engagement and allow for all different users to access the service. Additionally, My First Period has the potential to partner up with organizations such as Planned Parenthood to expand the services offered to young girls.
Built With
css
firebase
html
javascript
twine
Try it out
my-first-period-3eb79.firebaseapp.com
github.com | My First Period | Oh no! You just got your period for the first time and you don't know what to do. Have no fear, My First Period is here to educate you. | ['Jayanti Upadhyay', 'Ashmita Rajkumar', 'Victoria Correa Andrade', 'Norika Upadhyay'] | [] | ['css', 'firebase', 'html', 'javascript', 'twine'] | 51 |
10,336 | https://devpost.com/software/bookle | Inspiration
I noticed that when I read, I tend to be more motivated to be productive in my free time. Furthermore, since libraries are not open to the public nowadays, I have been relying on ebooks. They can be a little frustrating to find because the book might not be on one website, so I'd have to look at another website and so on, so I thought that having a program that does that searching for me would be helpful.
What it does
Bookle takes a user input, searches for books that may match the input, and searches other ebook websites to see if those websites have it.
How I built it
I used Flask to build the website and GoodReads' API in order to look up books. Then, using the titles in the search results, I created the search links for other websites that have ebooks, and the user can then click on those 'pre-searched' links to see if that website has the ebook.
Challenges I ran into
It was difficult to figure out how to use the GoodReads' API because there aren't many resources for help, and I haven't interacted with XML files before. Once I figured that out, I tried to parse the ebook websites to check if the book was actually in their database, but I couldn't figure out how to parse a website. It was taking too long, so I had to scrap that part.
I was also busy for the first day of the hackathon, so I couldn't work on the project and was on a bigger time crunch. Hosting the website also took a long time because the services that I were considering didn't support flask apps, and it took a while before I discovered that.
Accomplishments that I'm proud of
One of my learning goals is to get better at reading API documentation, so using GoodReads' API is something I am proud to have incorporated into this project.
What I learned
I learned more about XML files and how they're formatted, and I also learned that I need to look into website hosting websites before I create an account with them.
What's next for Bookle
I can add more trustworthy ebook websites for Bookle to search, and I also want to parse those sites to check if they actually offer the book. If they do, then it would be displayed on Bookle; otherwise, they don't be displayed.
Built With
css
flask
html
python
Try it out
github.com
bookle.pythonanywhere.com | Bookle | Finding eBooks can be hard, so Bookle does it for you. | ['Shana Nguyen'] | [] | ['css', 'flask', 'html', 'python'] | 52 |
10,336 | https://devpost.com/software/femella | Inspiration
Working and volunteering at nonprofits can completely change one's outlook on life! Not only is there so much opportunity to learn invaluable soft skills from public speaking to teamwork, but it is also such a great way to build one's portfolio. I think it's so important to empower women with these opportunities!
What it does
An online database with volunteer opportunities with existing organizations!
How I built it
Django + Bootstrap + HTML/CSS; Cloud API
Challenges I ran into
Had an environment issue - ultimately couldn't finish the migration of the database to MySQL in time.
What I learned
A whole lot on Django and web dev for sure!
What's next for Femella
I would love to continue working on it and see if we could get real users!
Built With
django
google-cloud
python | Femella | An web-based platform for young women to discover resources! | ['Annie Zhang'] | [] | ['django', 'google-cloud', 'python'] | 53 |
10,336 | https://devpost.com/software/smart-home-entertainment | Alexa Smart Activity Picker Skill
Alexa Skills Store
Home
Activities
Games
Birthday
Alexa Skill
I created a website and an Alexa skill to help keep people happy at home by providing them with ideas on how to spend their time. It also provides the resources to get started with these productivity and entertainment activities.
The idea for this website came to me after we celebrated my little sister's birthday in quarantine and I thought maybe I could help others find ways to stay happy despite the pandemic.
In addition to a webpage that helps people get creative with their birthday during the quarantine, my website also has a webpage to help people stay productive at home by learning new skills and taking up new hobbies, as well as a webpage to help people stay in touch with their friends by playing online games with them.
To top it all off, I also created an Alexa Skill and published it to the Alexa Skills Store. It is called the Smart Activity Picker and it helps people decide on an activity to do if they are unsure about which activity to pick. Creating an Alexa skill is something I've never done before so I am very proud to have learned something new. The skill is live and available to the public so feel free to try it out on your Alexa Enabled Device by saying "Alexa, open Smart Activity Picker".
I used HTML, CSS, JavaScript, and the Alexa Skills Console to create this project.
Here is a link to the website:
https://mayhazali.github.io/smart-home-entertainment/
Built With
amazon-alexa
css
html
javascript
Try it out
github.com
mayhazali.github.io | Smart Home Entertainment | A website and an Alexa skill to help keep people happy at home by providing them with ideas on how to spend their time and the resources to get started. | ['Mayha Ali'] | [] | ['amazon-alexa', 'css', 'html', 'javascript'] | 54 |
10,336 | https://devpost.com/software/the-microagress-test | Inspiration
Our team wanted to build a project that
empowered minorities in the workplace
. Through extensive research, we learned that one of the largest problems facing minorities in the workplace is microaggressions; but as expansive of a problem as it is businesses have difficulty targeting them and addressing it. Our team members has experienced microaggressions first-hand, such as being continuously ignored as the only woman in the room or even having our intelligence invalidating because of our race. Microagressions are subtle yet hostile behavior with the intent of isolating or emphasizing a co-worker's differences. In order to achieve equality in the workplace and create a safe environment, microaggressions need to be addressed in an effective way.
What it does
Our website is a tool for businesses to target microaggressions in the workplace. Employees would take a test and agree or disagree with statements based on their interaction in the workplace. From their answer, they'll receive a specific paragraph that explains the role of microaggressions in their workplace and the safety of their work environment for them. Based on their answers we include specific tips on how they can help make their office safer for themselves or others.
We also include a guide for businesses on general rules to follow on combatting microaggressions. This guide can be downloaded as a poster to put up in the workplace
How I built it
We used repl.it to build our code with html5, css3, jquery, and javascript. We first sketched out designs for each of the pages, and then transformed it into website.We divided the work amongst our members and utilized forms, slideshow mechanisms, and inputs to ensure maximum user accessibility
Challenges I ran into
We had challenges as a team both technically and strategically. For majority of our team it was our first hackathon, so we had a lot to learn in terms of pacing out work and working together. Also, one team member had to drop the hackathon within the first day and we lost communication with the team member in charge of the database on the second day.
On the technical side we had to troubleshoot with CSS and HTML on ensuring uniformity on different screens. There were a lot of problems with the css in our code, but luckily mostly everything eventually got sorted out. We also had to learn where to compromise certain parts of our project due to time constraints.
Accomplishments that I'm proud of
Norah
- This was my first hackathon so I'm just proud for showing up! My team was amazing, and I'm really proud of the fact we were able to work so well together. I'm also really proud of creating a product that could seriously have an positive impact on workplaces for thousands of people. From my own experience, I know how negatively microagressions can affect someones confidence, so I'm really proud that we were able to create an effective tool to combat that. I never would have believed I was capable of creating a finished project in two days that can be utilized by businesses to combat a real problem.
Eliana
: We've gotten a TON of things done in the span of 2 days, so I'm really proud of that. We've put together our skillsets and created a pretty cool project. I could not have asked for a better team. This worked out super great and I had so much fun this weekend.
Katie
- This was also my first hackathon, and it was proud of how quickly we created something that would have taken me days longer...well, not that long ago! I am also proud that our project could improve peoples' experience at work, where they spend a large portion of their time.
Kriti
- It was really great working in this project. I'm really proud of my team. Though being in different timezone, they've helped me alot. It was really amazing working with my team.
What I learned
Norah
- Firstly, I gained loads of confidence by being able to create a finished project in just two days and successfully applying my skills. I learned to trust in my capabilities as a coder. While I may be a beginner when it comes to coding, after this hackathon, I'm inspired to learn more about coding in order to create real-world solutions. I also learned about the millions of intersections between coding and social justice. Through this hackathon I was able to utilize technical skills in order to influence the social atmosphere in businesses. Creating my project opened the door to thousands of new opportunities. On a technical level, I learned about different capabilities of input
Eliana
: My teammates definitely helped me improve my html coding skills. Learning from them and their code was a great part of this competition.
Katie
: I learned about the whole process of bringing a product from an inkling of an idea into reality. I hadn't worked on any projects with front-end product design in a while, so it was a welcome experience. I relearned various aspects of html, css, and javascript that I hadn't touched in a while. Also, I learned that repl exists and is a really useful tool for collaborating on web development.
Kriti
: I learned about how we can work in a team virtually. I got to learn about repl.it and monday.com.
What's next for The MicroAgress Test
We hope to fully implement our business code idea, in which specific companies would get unique business codes. Then users can enter a code before they enter the test so that results of tests would be scored in specific databases for their company. This way individuals won't just get the results, but businesses as a whole will have raw data they can interact with in order to understand which minorities are being specifically targeted.
Built With
css
html
javascript
repl.it
Try it out
hackgirlsummer--norahrami.repl.co
repl.it | The MicroAgress Test | Helping businesses identify the microagressions in their workplace and create a safer work environment. | ['Ruby Shrestha', 'Norah Rami', 'Katie Taylor', 'hello people', 'Kriti Prajapati'] | [] | ['css', 'html', 'javascript', 'repl.it'] | 55 |
10,336 | https://devpost.com/software/stayin_formed | Home page
About Us page
Dialog flow console
Example training phrases
StayIn_formed logo
Chatroom
Chatroom
Chatroom
Chatroom
Here is a demo of the chatbot:
https://www.wevideo.com/view/1757386260
Inspiration
Since COVID-19 has spread throughout the globe, worry and anxiety has increased significantly. According to the American Psychiatric Association, about 36 percent of Americans feel COVID-19 is affecting their mental health and 59 percent of Americans feel that coronavirus is having a big impact in their daily lives. To help reduce stress for quarantined COVID patients, we have created StayIn_formed.
What it does
StayIn_formed is a platform that provides a safe space for COVID-19 patients to connect with each other. Through the chatroom and chatbot features, we hope to ease worry and develop a community focused on recovery and safety during the pandemic.
How we built it
We built our project using Flask, Python, MongoDB, Dialogflow, HTML, CSS, and Javascript. Through Dialogflow, we entered training phrases for our chatbot to reply to commonly asked questions relating to COVID-19. We used the Facebook Messenger chat plugin to integrate the chatbot into our web app.
Challenges we ran into
We ran into some challenges integrating the chatbot because Messenger and Dialogflow weren't connected correctly, but we were able to figure it out after some trial and error.
Accomplishments that we're proud of
We are proud of integrating the chatroom and chatbot into our website.
What we learned
We learned about how we can develop a chatroom using Flask as well as how we can integrate a chatbot through Facebook Messenger
What's next for StayIn_formed
We hope to expand the chatbot so that users will be able to purchase items and get food delivered through the chatbot.
Built With
css3
dialogflow
flask
html5
javascript
python
Try it out
girl-hackers.github.io | StayIn_formed | Face COVID-19 together. | ['Alayna Nguyen', 'Raluca Caplescu'] | [] | ['css3', 'dialogflow', 'flask', 'html5', 'javascript', 'python'] | 56 |
10,336 | https://devpost.com/software/focusassist | Hello.
This project was created as an entry in the Hack Girl Summer hackathon conducted by Major League Hacking during the dates 19/06/2020 to 21/06/2020 by Mithun Meenakshi S. Feel free to email me at
mithunmohan.2504@gmail.com
System Requirements:
-Python
-Pygame
Please make sure that the pictures which are a part of the project are stored in the same directory as the .py file.Please make sure you are connected to internet when your productivity session is over.Hope this project helps you focus.
Thank you!
Mithun Meenakshi S
(
Mithunmohan.2504@gmail.com
Built With
pygame
python
Try it out
github.com | FOCUSASSIST | A silly focus assister with a short goal | ['Mithun Meenakshi Subramanian'] | [] | ['pygame', 'python'] | 57 |
10,336 | https://devpost.com/software/comment-generator | logo
Inspiration
Our inspiration came from a need for some laughs in unprecedented times like these. Our product is for families to learn and to laugh at the same time! Even if you may not be super funny this web app is sure to spark joy for you and those around you!
What it does
We created a web app called the fairy comment generator. The fairy generator page is based off of a popular tiktok trend, and is sure to make anyone laugh with its sarcastic, but still lighthearted remarks! Finally, the playlist page features a personalized quiz to gauge what era of “meme-music” each user would enjoy the most! The demon comment generator takes a more positive twist!
How we built it
everything coded and submitted for this project was made this weekend. no coding was done before the hackathon Our team worked on Glitch to collaborate to make this website using HTML/CSS and JavaScript. We used jQuery to facilitate the changing pages, as well as a bit of css animation! By starting off with a simple HTML flexbox, our team was able to build it into the entire web app!
Challenges we ran into
We mainly ran into challenges relating to JavaScript because it was our first time using the language. In the past we’ve only used HTML and CSS, so this was definitely a new and learning-filled adventure! We were able to randomize the fairy comments through javascript!
Accomplishments that we're proud of
We are very proud of the end result, because we believe we focused a lot on design and ensuring the user has a great experience! Designed for laughs and positivity, we are elated that all the buttons, generators, and quizzes worked out as planned!
What we learned
Throughout this entire project, our team has not only learned the history behind each iconic image/video, but also have pushed ourselves in regards to our coding skills. The fairy comment generator was one of the more challenging aspects of the website which required a sophisticated back-end framework. And building this framework taught us about how dynamic websites can transform with substantial JS.
What's next for the generator!
In the future, our team would like to incorporate more features onto the website which allows users to access a larger variety of memes across all different languages. Jokes are more than just words- they define our culture worldwide, and so providing a page that is accessible to all languages and features content from across the globe is really important for our app. From a technological aspect, our team is eager to branch off into different realms of coding by utilizing complex CSS animations, and detailed JavaScript to enhance UI and ultimately make the website more dynamic. And most importantly, we are excited to build a mobile-app version of the generator to make this educational product available on all devices!
Built with JS, CSS, and HTML
Built With
css
github
glitch
html5
javascript
jquery
replit
Try it out
anumahmad.github.io | Comment Generator | wanna be funny but dont have the energy? this makes the process SUPER easy~ | ['Anum Ahmad', 'Hana Memon', 'Trinity Tran'] | [] | ['css', 'github', 'glitch', 'html5', 'javascript', 'jquery', 'replit'] | 58 |
10,336 | https://devpost.com/software/catalyst-to-a-just-society | Home page
Games
Memory match
Unscramble
Inspiration
Inventions by women
Chat room
Random quote generator
Sophia, the chatbot
Chatbot (minimised)
URL to the demo:
https://drive.google.com/file/d/1WN0Xe7i5CENuOh5LKT09m7hroOU8OGki/view?usp=sharing
Inspiration
I like making games which are fun and talk about certain issues. So, I made this app to educate people about the gender imbalance in the society. Women’s under-representation in science, technology, engineering, and mathematics (STEM) fields is a prominent concern in our society and many others. This app aims to talk about the amazing inventions by women (thereby telling that though we might be a minority, we have the potential to make awesome stuff!).
What it does
Catalyst is an educational app which tells about women empowerment and why we need gender equality. It has interactive games to gamify the learning experience. It gives information about inventions by women which led to major breakthroughs in various fields. It generates motivational quotes and stories randomly, to inspire and push you further.
The app also has a chat room where you can meet people and have interesting discussions. In case you need someone to talk to, it also has a chatbot- Sophia (named after the humanoid robot)- which tells about women empowerment, feminism and also engages in small talk!
How I built it
I have used JavaScript for making the games, Pubnub API for the chat room and DialogFlow for the chatbot. The UI is done using HTML, CSS and Bootstrap.
Challenges I ran into
When I first trained the Google DialogFlow, I didn't realise that I was adding all my questions and responses to the same intent. So I had to start over and then create a new intent for each topic that the bot had to respond to.
I have also tried to include a mailing system, to send alerts but wasn't successful and had to switch it to chat room.
Accomplishments that I'm proud of
I'm kinda surprised I could finish all of this before the deadline. The games were really fun to code and I love how interactive and easy to navigate the whole application is. The chat room idea was last minute but I managed to finish it in time. So yay! :D
What I learned
I've learnt how to make a chat room using the Pubnub API. I've also made some cool games and learnt a lot during the process. This is my first time training a chatbot and I've gained quite some interest in natural language processing :)
I hope to learn more about NLP and implement it's applications in my future projects.
What's next for Catalyst
I hope to migrate this to a MERN stack (and deploy it), to improve the functionality of the application and to support other features like Phaser or Pygame which are much more flexible.
Built With
bootstrap
css
dialogflow
html
javascript
jquery
pubnub-api
Try it out
github.com | Catalyst | To support women empowerment and educate about women's achievements which have gone unappreciated in the past. (Learning through gamification!) | ['Prahitha Movva'] | [] | ['bootstrap', 'css', 'dialogflow', 'html', 'javascript', 'jquery', 'pubnub-api'] | 59 |
10,336 | https://devpost.com/software/css-not-tss | The app live on the Fitbit app store
GIF
A gif showing all cases of use!
Setting the time inserted
Sample view of just a few hours past insertion
Sample view of 4-7 hours past insertion
Sample view of 7-8 hours past insertion
Sample view of 8+ hours past insertion
Inspiration
For anyone who uses tampons, it can be difficult to keep track of how long it's been since you last changed one. I've personally experienced this tons, and commiserated with friends over how much of a pain it can be when you've got all of life to keep track of and you're out and about! Leaving a tampon in for longer than about
8 hours
can cause Toxic Shock Syndrome (TSS), which can be potentially fatal. I was especially inspired by
Lauren Wasser
, a double-amputee who lost both her legs to TSS, and is now a model and spokesperson working to raise awareness for TSS caused by leaving a tampon in too long.
What it does
CSS not TSS (uploaded to the Fitbit app store under the name "TamponTimer" for searchability and clarity) is an app for the Fitbit Versa family of devices. You enter the current time when you insert a tampon, and then make use of the app throughout the day. It'll calculate how much time has passed since you inserted the tampon, and display this in the center of the screen. It'll also change color from green, to yellow, to orange, to red based on the amount of time that has passed relative to the recommended 8 hours, and display a simple prompt at the bottom of the screen letting you know what you should do at this time: not to worry, to plan ahead, or to change soon or NOW.
The app is live on the Fitbit app store through the url
cssnottss.tech
- thanks domain.com!
How I built it
I first sketched out some wireframes for the app to hold the most useful information to the user, and went through a few iterations of UI to make it as minimalist as possible for use on the go. I did some research on the risks of tampon usage re: TSS, and the recommended windows of time to keep one in.
I built the app using the Fitbit SDK, and drawing on the Fitbit Developer documentation to get started. The app was built in Node.js, and I made use of my knowledge of HTML + CSS as well to get the app's GUI up and running.
Challenges I ran into
The Fitbit SDK environment is quite unique, and there were a number of files to link together is very specific ways. I had to make the base js file for the app interlace with the GUI layout, a widgets link, some stylesheets, a companion js file, a few other dependencies, and a settings js file that drew on user settings. It was especially complex to link the user settings from outside the Fitbit environment to the app itself. I have never learned JS and this is really my second time building anything with it, so I had to do a lot of trial and error and learn as I went.
Accomplishments that I'm proud of
I worked on this app in just one day, and was proud to spend my Saturday getting something up and running that worked without bugs, handled errors, and is genuinely very useful to me. Fitbit's built-in user settings also don't allow time to be input, so I had to work around it by setting the user input to be a text field that I then parsed. I was proud that it worked perfectly!
I built this app for my friends and myself, so I hope that many other outside my circle can genuinely find use in it - TSS is scary and we can help keep the risk from tampons specifically at bay.
What I learned
I feel like I took leaps and bounds in my comfort level with JS, and making several components work together. I also learned a lot about when using a physical Fitbit was best to test the app, and when it was better to use the emulator on desktop - I look forward to applying this to future hardware projects. Working with time in JS was a bit tricky, especially since the Fitbit environment doesn't allow you to important most external libraries. Finding workarounds to set and calculate time taught me a lot of pure JS that I will use going forward. Lastly, I learned that a small app on your wrist doesn't need to be complex to be valuable. It just needs to be dependable and accurate, and to be there when you need it.
What's next for CSS not TSS
I'm hoping to add more features while still keeping the actual UI simple! First, I'll be adding in compatibility with more families of Fitbit devices. I'd also like to add options to the user settings to set the absorbency level of the tampon in use, and to set the user's current flow level (low, medium, or high), and then automatically adjust the "safety windows" to display a more accurate suggestion of when the tampon should be changed.
Built With
css
fitbit
fitbit-sdk
git
github
gui
javascript
jsx
node.js
Try it out
cssnottss.tech
github.com | CSS not TSS | A Fitbit app to keep track of how long you've had your tampon in | ['Shaleila L'] | [] | ['css', 'fitbit', 'fitbit-sdk', 'git', 'github', 'gui', 'javascript', 'jsx', 'node.js'] | 60 |
10,336 | https://devpost.com/software/musicalkeys | Inspiration
Interest in doing new things.
What it does
It plays different sounds when keys on keyboard are pressed it works like mini piano.
How I built it
With javascript
Challenges I ran into
Finding the required things to the project became biggest challenge.
Accomplishments that I'm proud of
The final output.
What I learned
To make use of my knowledge
What's next for musicalKeys
Built With
css
hower
html5
javascript
paperjs
sounds
Try it out
swetharamagiri99.github.io | musicalKeys | keys that play music | ['Swetha Ramagiri'] | [] | ['css', 'hower', 'html5', 'javascript', 'paperjs', 'sounds'] | 61 |
10,336 | https://devpost.com/software/virtual-try-on-project | Some outputs
To choose from
Quick Guide to get stareted
Upload You!!!
Inspiration
Despite the convenience online fashion shopping
provides, people are often concerned about how a particular fashion item in a product image
would look on them when buying apparel online. I seek to elevate this by creating a web
application where a user can choose any garment they would like to purchase and then see a
virtual model of themselves in that particular clothing, thereby judging for themselves if they
should continue with the purchase.
What it does
Our idea focuses on the creation of a
Virtual Fashion Try-On
a system that seamlessly transfers
the desired fashion apparel or item onto them.This definitely will help them purchasing apparel and
accessories of their own choice and comfort avoiding the process of ordering and returning
unnecessary purchases. This ultimately will help them save time.
How I built it
This project is implementation of the paper VITON
(here).
Firstly, the user selects cloth and upload user's image on web-interface, which in turn is integrated with ML model at back-end.
The model pre-process the image uploaded, then extract the parser (segmented-image) and detect the pose of the user-uploaded image using Open-Pose.
These four things along-with cloth mask are feed as input to our first GAN (
Generative Adversarial Network
), the
Geo-metric Matching Module (GMM)
which returns the warped cloth.
The warped cloth and everything used as input to first GAN is now transferred to second GAN,
Try-On-Module(TOM)
to receive the results.
At last, to enhance the end-presentation of model to users, Image Super Resolution is used.
Users can enjoy the final image which depicts the so chosen apparel being fitted to the user-uploaded image.
Challenges I ran into
There were many incompatibility issues that I had to deal with while developing this project since many libraries, in use, keeps on getting updated.
Being new to Google-Cloud Platform, it was tricky to host my Project.
Automation. As mentioned earlier the open-source libraries take input from one folder and gives output to another. This issue took a lot take to get handled but finally it was done.
Accomplishments that I'm proud of
Final loss of generator on validation : 3.62001
Final loss of discriminator on validation : 0.003821
What I learned
Creating a working model using opensource libraries.
Hosting model on google Cloud Platform
Grasp experience on working with tools like Pytorch, Open-Pose , torch-vision, tensorboardX and many others.
What's next for VIRTUAL TRY-ON Project
Integrating the model with React.js
While taking input from the users, which maintaining their privacy and security, I want to make sure the image does not hold any violent or nudity or any such content that violates law.
Enhancing the final output is what I am working on right now.
Built With
css3
flask
gan
google-cloud
html5
human-parser
matplotlib
node.js
numpy
opencv
openpose
pandas
pil
python
pytorch
vision
Try it out
github.com | VIRTUAL TRY-ON Project | Worried, out of thousands of online apparels available which fits you best? | ['Ankita Jaiswal'] | [] | ['css3', 'flask', 'gan', 'google-cloud', 'html5', 'human-parser', 'matplotlib', 'node.js', 'numpy', 'opencv', 'openpose', 'pandas', 'pil', 'python', 'pytorch', 'vision'] | 62 |
10,336 | https://devpost.com/software/muisitar | Inspiration
During the Covid-19 pandemic, many people around the world are unable to go outside and participate events or activities as they used to. Many people are forced to stay at home, either for quarantine or social distancing. Instead of bing watching videos, movies and waste countless of hours on them, we have decided to make stay-at-home more fun and meaningful which is why we created
muisitar
.
Guitar is one of the most popular instrument, played and owned by many people. However due to the busy school or work schedule, many people have already forgotten the basics or wanted to try the instrument out but never have the time or money to purchase one. Which is why we have decided to solve this problem.
What it does
muisitar
is a guitar learning website that provides simple instructions to get people started in both learning and practicing guitar. It offers a range of tutorials to both beginners and intermediate guitarists offering them challenges and tutorials on finger position.
For individuals who do not own a guitar, and for users who just want an even more portable way to practice guitar, a compact LEGO-arduino guitar neck attachment can be used to have
active practicing sessions
to learn various chord positions. These active practicing sessions are possible due to the backlit arduino LED light system built under the LEGO guitar neck, where shining lights under the LEGO board guide the user to where they should place their fingers. Once the user has placed their fingers in the right position (and the arduino senses it with the photoresistor) the arduino will play the chord the user is on at the moment. There are two settings for playing the chord, one with a passive buzzer where the chord notes are played in a melodic order, or a recording of an actual guitar that has played the chord.
How we built it
Software
On the Software side, we used React and Bootstrap on the front-end side of the website.
Hardware
On the Hardware side, we used arduino, python, and some old fasioned LEGO!
We first tackled trying to make the light up LEGO LED guitar neckboard. There were many initial design variations for this LEGO neckboard, where we tried LEGO technical pieces and even hole-punching some cardboard boxes that could fit the LED lights. However luckily, each LED light fits snuggly under the openings of the 1x16 LEGO stick pieces which let us build an assortment of 13 lights underneath the LEGO neckboard. With these various LED lights fit underneath the LEGO neckboard, we utilized using arrays that saved specific LED positions according do various chords within the arduino code; we can run through 7 different chord positions due to the LED light configuration we have behind the LEGO neckboard.
We then learned how to utilize the photoresistor to sense when the user put their fingers in the correct position for each chord. Because the LEGO neckboard is lit up utilizing LED lights, the photoresistor can sense when enough light is covered by the user's fingertips and notify the arudino that the user has played the chord.
Then we tried to coordinate the light positions from the arduino with an actual sound of the chord the user is playing. We tried this in various ways:
Using a passive buzzer that can play 1 tone at a time. Although it cannot play the entire chord at once, it can play successive melodic notes which if played quickly enough, resembles the chord. It has a bit of a robotic sound to it however.
Then we tried to connect the arduino to python through the
pyserial
library. This would allow us to play more complicated sounds, such as recordings of us playing each guitar chord. By using this serial connection, we could play each recording exactly when the user put their fingers on the LEGO guitar neckboard with various chord progressions.
Challenges we ran into
Connecting the arduino to python was especially difficult; it was our first time trying it, and we didn't completely understand how the connection worked. However, some awesome people at the hackathon (shoutout Ankit) helped point us to the right resources to figure it out!
Accomplishments that we're proud of
We are proud to have finished this project successfully, with a working hardware component even though our team is away on two sides of the world: east US and Hong Kong!
What we learned
Lots of arduino, python, bootstrap styling hopefully to be used throughout the next few hackathons to come!
What's next for muisitar
Hopefully we can find better ways to sense whether or not the user has played a chord; but this was an incredibly fun experience!
Domain Name:
muisitar.space
Built With
arduino
css
html
javascript
python
react
Try it out
github.com
github.com | muisitar | Make Stay-At-Home a bit more musical | ['Grace Kim', 'Laurel Kim', 'Melanie Hsieh'] | ['Best Arts Hack'] | ['arduino', 'css', 'html', 'javascript', 'python', 'react'] | 63 |
10,336 | https://devpost.com/software/lane_detection_opencv | lane detect using matplotlib
proper lane detction
video screenshot
detection!!
video ss
Inspiration
Traffic accidents have become one of the most serious problems in today's world. Roads are the mostly chosen modes of transportation and provide the finest connections among all modes. Most frequently occurring traffic problem is the negligence of the drivers and it has become more and more serious with the increase of vehicles. Increasing the safety and saving lives of human beings is one of the basic function of Intelligent Transportation System (ITS). Intelligent transportation systems are advanced applications which aim to provide innovative services relating to different modes of transport and traffic management.
What it does
This system enables various users to be better informed and make safer, more coordinated, and smarter use of transport networks.These road accidents can be reduced with the help of road lanes or white markers that assist the driver to identify the road area and non-road area. A lane is a part of the road marked which can be used by a single line of vehicles as to control and guide drivers so that the traffic conflicts can be reduced.
How I built it
Challenges I ran into
Most roads such as highways have at least two lanes, one for traffic in each direction, separated by lane markings. Major highways often have two roadways separated by a median, each with multiple lanes. To detect these road lanes some system must be employed that can help the driver to drive safely.Lane detection is an area of computer vision with applications in autonomous vehicles and driver support systems.
Despite the perceived simplicity of finding white markings on a simple road, it can be very difficult to determine lane markings on various types of road.These difficulties can be shadows, occlusion by other vehicles, changes in the road surfaces itself, and different types of lane markings. A lane detection system must be able to detect all manner of markings from roadways and filter them to produce a reliable estimate of the vehicle position relative to the lane. To detect road markings and road boundaries various methodologies are used like Hough Transform, Canny edge detection algorithm, bilateral filter.
Accomplishments that I'm proud of
The lane detection has proved to be an efficient technique to prevent accidents in Intelligent Transportation Systems.The review on lane detection has shown that the most of the researchers has neglected the problem of the fog and noise in images.
What I learned
A lane detection system must be able to detect all manner of markings from roadways and filter them to produce a reliable estimate of the vehicle position relative to the lane. To detect road markings and road boundaries various methodologies are used like Hough Transform, Canny edge detection algorithm, bilateral filter.
What's next for lane_detection_opencv
In near future we will propose a new technique which will integrate the performance of lane detection by using bilateral filter.
Built With
python
Try it out
github.com | Lane Detection using OpenCV | Detects lane on a road using opencv in order to advance the Intelligent Transportation System (ITS). | ['AKSHITA GUPTA'] | [] | ['python'] | 64 |
10,336 | https://devpost.com/software/bigfridge | BigFridge App Design
Business Model Canvas
Inspiration in Covid-19 Crisis
What is the problem about food during Covid-19 Pandemic?
There may be shortages in food supply and ambiguity in food demand due to lockdowns.
If the isolation period prolongs over months there can be shortages of some food. Some vegetables, fruits and grains cannot be planted for the next year because of social distancing is necessary for farmers. Some ingredients cannot be transported from local producers to other countries because the borders are closed.
Food stocks should be planned carefully in this disaster. Otherwise food will be a serious problem along with virus disease health issues.
In the coming months, local authorities, food producers, big companies and governments will require data. In normal times they use their own data and projection tools in order to plan the food demand properly and distribute evenly. But this is a crisis that the world had not been experienced before. Everything can fall into chaos. Supply chain might be disrupted. Demand routines might change abruptly. Chaos in food supply might cause serious destruction. Therefore accurate predictions are essential keys to handle this disaster.
What it does?
If we count what we have in every individual fridge, then we will be able to know the big data of all available food stock.
BigFridge is an app where individuals can contribute to the macro planning of food supply by providing information of what they have in their own household stocks and what they will need in the coming months.
When all food stock is gathered in the BigFridge’s pool, Big Data is provided to food producers, big grocery chains and local governments.
There are more than 1.2 billion households worldwide. The number of total population under the age 25 is more than 3 billion. We target 1% of these households to use this app, which is 12 million users. During this quarantine times, we expect the young members of the families will adopt this new app and contribute big food data while winning.
What's the future target of BigFridge - Implementation of AI
This study should be accepted as the first step and groundwork of a long-term project which will provide better projections of food demand. With BigFridge application, people around the world will be able to upload the existing food stock in their houses.
Sharing this information may build big data and when numerous fridges are analyzed, basis for accurate planning is obtained. For the progressing stages of the project, it will be enhanced with Artificial Intelligince algorithms resulting in more reliable predictions. AI will also be facilliated in order to provide customization for better user experience.
The value of the solution after the crisis
BigFridge is not developed just for providing a solution during this virus crisis. For times when life turns back its normal routine, BigFridge comprises exclusive solutions:
i) Prepaid orders provide win-win for consumers as well as food producers and big grocery stores. Users will receive significant discounts when pay beforehand and producers will feel quite safe because they will be able to plan their production according to what they have already sold.
ii) Control of excess food prevents waste. When using BigFridge app one organizes her/his fridge and checks what it is present there for 5 to 10 minutes. This is a necessary time interval that everyone should spend every week for controlling the expire status of the items in food stocks. If some of them are going to expire soon then you can push the donate button and BigFridge will inform the closest Food Bank to your home.
The necessities to continue the project
No piece of edible stuff should be wasted while there are people suffering from hunger.
Personal Level: If you have excess food and wish to donate, BigFridge app informs the local food bank nearby your location.
Society Level: If supply chain is planned according to accurate demand projections there will be less food to be wasted.
What we have learned?
While studying on this project we have learned to realize that personal privacy is important. It should not be violated or abused even we are in the middle of the hard circumstances of a global disaster.
Users may sign up as anonymous with nicknames in order to protect their privacy. However they should let the data they have uploaded to be shared with partner companies and related local government.
User profile of BigFridge requires 7 simple questions:
Age,
Gender,
Country and City,
Health Condition,
Education,
Income Level,
Number of people in the household.
What are the next steps?
What we have submitted as the mobile tool for this challenge is only the demo version of the coming product. We are working on developing the real app and it is going to finish soon. We have completed the first week of the project schedule below:
Week 1.
Brain storming, lean startup canvas, product design, app in demo version, web site
Week 2.
Graphic designs, coding, MVP, developing, IOS and Android app
Week 3.
Launching the app,promotions, digital marketing, user feed backs, initial sponsors
Week 4.
Agreements with data analytics business partner. Agreements with food producers, big grocery stores and state officials
Week 5.
Running the app and gathering big data. Implementing basic AI algorithms
Business Model Canvas
KEY PARTNERS
Key Partners in Food Production and Supply: (and/or)
i)Big Grocery Chains
ii)Online Grocery Companies
iii)Food Producers
Motivated by optimization in operations and stock control. Improvement in profit margins due to reduction in waste with prepaid orders.
Key Partners in Planning of Food Supply: (and/or)
i)Local Government Authorotiries
ii) Agriculture Departments and Bureaus
iii) Ministry of Food & Agriculture
Motivated by better coordination due to reduction of risk in food supply chain.
Key Partner in Data Analytics:
i) A reliable and trustworthy data analytics company in order to share data.
Motivated by the acquisition of particular data resources gathered by the app from the activities and personal information provided by BigFridge users.
KEY ACTIVITIES
i) Building and promoting an online medium (eg. ios/android mobile apps) for the users in order them to provide the data of their household food stocks.
ii) Making agreements with Big Grocery Chains and Online Grocery Markets about the gifts and discounts that they are going to offer to BigFridge Users.
iii) Organizing of the gathered raw data according to the partner Data Analytics Company’s requirements.
KEY RESOURCES
i) Creative designs and ideas are important in order to build this brand new mobile app. Our young and creative team members are the key resource.
ii) Strategic partneships and coloborations among food business circles is at the heart of this model. Our mentors and advisers are industry experts having +60 years experience totally.
VALUE PROPOSITIONS
VP for Users:
i) Being a part of the solution for the possible problems in Food Supply Chain.
ii) Receiving discounts, giftcards and paychecks for grocery shopping.
iii) Access to healthy meal recipes that can be prepared with the existing goods in the fridge.
VP for Food Poducers and Grocery Markets:
i) Prepaid orders provide win-win for consumers as well as food producers and big grocery stores. Producers will be able to plan their production better.
ii) If supply chain is planned according to accurate demand projections there will be less food to be wasted.
Characteristics:
Newness, Convenience, Accessibility, Design, Customization, Cost Reduction, Risk Reduction
CUSTOMER RELATIONSHIPS
BigFridge is positioned as a novel domestic mobile brand which provides some benefits and have fun when using it.
Therefore it is important to keep the online product of BigFridge always updated, attractive and functional by continuous flow of fresh content on easy cooking, healthy recipes, kitchen tips, food hygiene, etc.
Giftcards, paychecks, discounts and delightful surprises will be waiting for loyal users and BigFridge will soon become a love mark.
CHANNELS
The channel of the main business activity for user interface are Mobile Apps (ios/android). Promoting the mobile apps to reach as many young ypeople as possible will be held by digital and conventional marketting tools. Getting the support of local authorities and governments for promotion campaigns as well as cooperating with local communities and food banks are important in order to spread the usege of the apps. BigFridge is planned to be a part of the daily kitchen and grocery shopping routines of individual users.
CUSTOMER SEGMENTS
Young generation are the target customers while every person with a mobile phone who is willing to download an app can use BigFridge. It is so easy to use but there is a limitation in terms of place: It can only be used at home, in the kitchen. The user should look in the fridge and write down what is there, check the lists on the app, take photos of the food. When the weekly task is complete, the user receives a QR code and views the gifts. Although these activities are all simple and fun, people over 50 of age are generally not prone to use such apps.
There are more than 1.2 billion households worldwide. The number of total population under the age 25 is more than 3 billion. We target 1% of these households to use this app, which is 12 million users. During this quarantine times, we expect the young members of the families will adopt this new app and contribute big food data while winning.
COST STRUCTURE
BigFridge is value driven rather than costs. The requiriments for fixed costs are almost negligible and all the workers are paid in certain percentages of the income. Therefore they have to create revenue in order to be paid well.
Variable costs are due to digital marketting and promoting activities. All the operational activities are held within a cost sensitive perspective. No offices, no luxirius utilities. Costs like hosting and cloud storage are afforded by foundations supporting startups.
REVENUE STREAMS
BigtFridge app is free to use. No payment or fee is expected from the user. Similarly nothing is charged to partner Grocery Chains while they are expected to offer discounts, giftcards and paychecks frequently to loyal users while sponsorship supports are all welcome from partner companies.
When data of food stocks of the users are gathered, big data is provided to food producers, big grocery chains and local governments within the partnership of a data analytics company.
The customers of the partner data analytics company who are willing to pay are going to be the main source of income. Tehrefore the price or value of the collected data as a resource is going to be dynamic and depends on the negotiations according to current market circumstances.
Team
ARTUN AKDOGAN (21)
Sophomore in Electrical and Electronics Eng. Bogazici University /
QuID for Developers Certificate – ETH Zürich /
Applied AI Certificate – inzva (Sanctuary of the Turkish Hacker Community) /
Cyber Security Certificate – BUSIBER /
Excelled in Python and Linux /
github.com/artun-akdogan
ILAYDA ISERI (17)
Koc High School Junior /
Google Science Fair 2019 Regional Finalist with ‘The Woof Project’ /
MIT Research Science Institute Summer Program 2020, Candidate in the national short list /
Awards and honors in national math contests /
Studying to be a mathematician, composer, cartoonist and filmmaker.
BARKIN E. OKSUZ (15)
First year in Robert College, RC24 /
IDTech Camps in Game Design and Development, Stanford Campus, 2018 /
He builds web sites and apps, wants to be a gamer
Built With
appsheet
jawa
python
wix
Try it out
www.appsheet.com
oksbar24.wixsite.com | BigFridge - Big Data of Food | We build a bridge over fridges. BigFridge is an app where individuals contribute to the macro planning of food supply during the pandemic by providing data of what is already in their household stocks | ['Artun Akdogan', 'İlayda İşeri', 'Melsen Tunca', 'Barkın E. Öksüz'] | [] | ['appsheet', 'jawa', 'python', 'wix'] | 65 |
10,337 | https://devpost.com/software/covidaccountable | Inspiration
According to
Fortune
magazine, most Paycheck Protection Program loan recipients remain unnamed. As the global economy enters into a recession, we must restore democratic oversight over how this stimulus money is used. Thanks to the work at
Accountable.US
as they have pored over SEC filings to elucidate where American taxpayers' have gone, we have created a Chrome Extension that will help people around the world judge whether companies that received PPP bailouts really deserve their patronage.
What it does
CovidAccountable
looks through a webpage and searches for company names that match that received
PPP funding
. Company names that have a hit in this database get highlighted where the user can learn about how much the company has reaped from the PPP.
How we built it
COVIDAccountable runs on Google Chrome. We wrote a custom script that uses regex to read through a webpage DOM and identify the names of corporations that received COVID-19 funding. The tooltip that occurs over the word when generated uses the tipped tooltip library (
https://www.tippedjs.com
). Corporation data is sourced from Accountable.us data on Trump bailout (
https://www.trumpbailouts.org/small-businesses/?fbclid=IwAR3wjOLPg8FgoDRcoDY9sB5_S4l1RM-yb-WqoGWPnb-oZGf6JzAGszfQ744
)
Challenges we ran into
Finding PPP lender Information
We thank
Accountable.US
for their work in amassing this research together as without it, this project would not have been possible. However, even finding this information was difficult. As such, the importance of this project is of even more importance as we must hold our government accountable to ensuring fair access to PPP funds.
UI/UX Design
Computer Science curricula are much more focused on theory than on the latest of user interface. Consequently, it took quite some experimentation and research to get a good library working. Hans had prior experience with the
Tooltipster
library, but we eventually went for the
Tipped
library instead.
Accomplishments that we're proud of
As we approach an election year, it is extremely important that we understand how our government has managed the COVID-19 pandemic, both in epidemiological management and in economic support for the general population. As this government has obscured efforts to understand how PPP money has been used, we're proud of our steps to unveil this thus-opaque process.
What we learned
Chrome Extension development
UI with the Tipped library
What's next for CovidAccountable
We hope to train name-entity recognition models that will be able to distinguish company names from other names, e.g. suppose a company were called Ananas, we would want to pick up the company name Ananas, but not pineapples on Wikipedia.
Built With
chrome
javascript
jquery
tooltip
Try it out
github.com | CovidAccountable | Chrome extension that identifies businesses that benefited from the 2020 Paycheck Protection Program. COVID mitigation incompetency is no excuse for lack of economic accountability! | ['Allen Mao', 'Hans Gundlach'] | ['Overall Best'] | ['chrome', 'javascript', 'jquery', 'tooltip'] | 0 |
10,337 | https://devpost.com/software/eduquix | Assignment
Zoom Class
Quiz
Home Page
About The Teammates
Cart
Store HomePage
Cart Oliver Twist
Meet The Team
Best Books
Inspiration
Corona Virus Outbreak made the world slower than usual. Students would suffer more because of lockdown in the countries, schools are shut and students have no other source than learning online. We decided to improve online learning and education by making a project called EduQuix. Also our project focus on home delivery of school essentials.
What it does
Some of the features are listed below:-
It asks students and teachers to sign up or login. After that, it provides the students zoom url to join the online meeting, teachers has to start their own meeting and has to upload the meeting ID and password to the website server so the students may join.
After the meeting ends, the students has to solve quiz related to the class which will automatically give them grades according to their performance. Teachers get excess to upload the quiz.
Teachers may assign students projects or assignments using this platform and students can submit their work before the deadline.
Also this project enables users the access to order school essentials like books, pens and other stationery online through it.
How I built it
The delivery part was built using wix.com's theme and by modifying it into stationery store website
Quiz page was made using Wolfram Techologies
Rest of the complete website was made using Bootstrap Studio by integrating website with, Zoom for the meetings, Firebase to get the meeting ID and password for the Zoom meeting and then linking the main site with the delivery site made through wix.
Challenges I ran into
All the teammates belonged to different countries, So the time zone created a major problem for us to collaborate but we divided the work and every teammate completed its work on time.
I was new to Wix.com, so it was time consumable to understand it and make a working website.
One of my teammate was new to firebase. So, it was difficult for him to work with that but he got to learn about firebase and how to use it. It was time consuming but helping each other made the work easier
Accomplishments that I'm proud of
I got to learn about website development because it was my first time making a website
I got to learn integrating firebase to websites.
I was a beginner to bootstrap but now I have enough knowledge to make a website work using bootstrap
What I learned
Team Work is a great thing I got to learn by working with people belonging to different parts of the world.
I was new to website development. So I got to know more about website development using bootstrap and wix.com
I used to integrate mobile apps with firebase but this project gave me an opportunity to learn about integrating websites with firebase.
What's next for EduQuix
In future, we plan to make an android app so it would be easier for everyone to use it even for them who don't own a computer or a laptop.
We would try to add notification pannel in the project through which students may get aware of emergency updates like if class gets postponed or gets canceled.
We would try to improve assignment part and quiz part so that students may get amazing experience related to the class they attended.
We can tie up with local stationery stores to provide users same day delivery.
Built With
bootstrap
css
firebase
html
iframe
javascript
python
wix
wolfram-technologies
Try it out
github.com
naseeb0.github.io
devpost.com | EduQuix | Endless Learning from Home, Seamless Delivery of School Supplies! | ['Naseeb Dangi', 'Keshav Majithia', 'Min Min Tan'] | ['Track Winner: Education'] | ['bootstrap', 'css', 'firebase', 'html', 'iframe', 'javascript', 'python', 'wix', 'wolfram-technologies'] | 1 |
10,337 | https://devpost.com/software/helply-g7kory | Helply Logo
Item Identification and Processing System
User Donation Profile
Leaderboard for Gamification and Incentivization
User Landing Page with Google Maps Integration
Item Identification Subsystem
Distribution Subsystem with Google Maps Integration
Team
Team Name: Helply
Discord: rsrajan#8591
Inspiration
In 2019, the total generation of solid municipal waste was 267.8 million tons, or approximately 4.51 pounds per person, per day. Of this amount, only a mere 23% was recycled. Additionally, in 2020, over 15%, or 40 million Americans, are affected by poverty nationwide. In the 21st century, with growing wastage and increasing poverty, Helply simplifies the donation and recycling experience for everybody.
What it does
Helply allows users to pinpoint optimal donation and recycling centers, ship, and recycle their old household items, and receive reward points in return for helping their communities while reducing their waste production -- all within the comforts of home.
How I built it
The app’s skeleton was built around Ionic, an Angular.js framework built on top of the Apache Cordova platform. Through Ionic, Helply has been optimized for both iOS and Android devices.
The detection of the item being donated or recycled was built on Google's Cloud AutoML platform. The AutoML backend has been extensively trained to identify the object itself, the state, and the condition of the item in the picture instantly.
The distribution subsystem was built on top of the AutoML backend and uses the weights from AutoML and the user's geolocation to find optimal donation and recycling centers, as well as populating the shipping labels.
Challenges I ran into
Due to the vastness and subjectivity within the identification of the object and the condition, it was difficult to create a catch-all AutoML model that could identify every object being inputted. Another tedious aspect of the development process was getting the numerous APIs and libraries all working together.
Accomplishments that I'm proud of
I'm proud of having a diverse set of subsystems, APIs, and libraries all working in conjunction while maintaining a streamlined and clean front end and user experience.
What I learned
I learned how to: create an Ionic/Angular.js frontend, maintain a responsive and clean UI navigation, create an AutoML model, and integrate different languages, all while supporting various frontends/backends to make a cohesive application.
What's next for Helply
Look into future possibilities of adding features like using gamified reward points to purchase products from companies sponsoring Helply and promoting community outreach.
Built With
angular.js
apache
css3
google-cloud
html5
ionic
javascript
node.js
Try it out
github.com | Helply | An awesome way to donate and recycle | ['Rohit Rajan'] | ['Track Winner: Work and Productivity'] | ['angular.js', 'apache', 'css3', 'google-cloud', 'html5', 'ionic', 'javascript', 'node.js'] | 2 |
10,337 | https://devpost.com/software/c-care | When our app worked, Satisfied
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
WINNER at Global Hacks in the category of HEALTH AND MEDICINE.
WINNER at MacroHack As the best Android Application.
WINNER at MLH Hackcation in the category ( Our first Hackcation ).
TOP 5 in innovaTeen hacks.
TOP 10 in Restartindia.org and Hack the crisis Iceland.
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 | C - CARE | C - CARE An app that makes every person a COVID warrior. | ['Anup Paikaray', 'Arnab Paikaray'] | ['Track Winner: Health and Medicine'] | ['android-studio', 'geofence', 'google-maps', 'java', 'sqlite'] | 3 |
10,337 | https://devpost.com/software/mood-match | Logo
Sample conversation
Inspiration
Many times, it is very difficult to pick a song that is perfect for your current mood. Especially during such an unprecedented time in our world, it is hard for people to understand how they feel, let alone understand how to feel better. A plethora of research studies have proven that music is truly one of the best ways to brighten someone’s day and MoodMatch aims at doing just that. This issue of not being able to understand one’s true emotions and grasp what is needed to acquire a more positive mindset inspired me to create MoodMatch.
What it does
MoodMatch is a Facebook Messenger ChatBot that recommends songs based on a user’s current mood. MoodMatch understands the user’s current emotions by asking several personalized questions and using novel sentimental analysis algorithms to deliver several songs that will cheer up the mood of the user.
How I built it
Before this project, I was very new to the ideas of creating a project. This project introduced me to the end-to-end programming pipeline. I started by first mapping out what I had to do:
Obtain a list of songs, artists, and lyrics of the songs
Perform sentimental analysis on the songs to understand what kinds of feelings are exhibited by the song
Create a messenger bot
Program the messenger bot to ask the user questions
Process the results (sentimental analysis on the chosen choices)
Recommend songs with similar sentiment levels or perhaps higher sentiment levels to cheer one up
I followed this process thoroughly and used the Microsoft Azure Cognitive Science API to perform sentimental analysis. I also used various APIs including Spotify, Genius Lyrics, and various others.
Originally, I had meant for MoodMatch to pop up a Messenger Webview and encourage users to fill out a form that would then allow for the processing of data, however, Facebook’s innovative Quick Replies module on Messenger allowed me to make MoodMatch more interactive and personalized for users.
Furthermore, all of the data regarding songs and the various components associated with it are stored using AWS S3, making this application a perfect model of cloud-based computing. Through this project and several past instances, I understood the growing power of cloud-based applications in our world and how leveraging the cloud through applications such as AWS and Azure will undoubtedly ameliorate your app.
Challenges I ran into
As I was very new to the end-to-end programming process, I ran into many challenges including not being able to understand what was wrong. My first challenge in this journey of completing MoodMatch was deploying my messenger bot on a Heroku server. Many times, I received an Error 400 or Error 500 stating that the /GET request cannot be found. However, once I got over this hump by fixing a few lines in my code, I was faced with several other tough mountains:
Obtaining results from the HTML form and using ExpressJS to deliver POST requests
Returning a list of songs and executing my algorithm on an ASYNC function
Transitioning from a bland messenger webview to more interactive Quick Replies
I often asked friends or even posted on StackOverflow to get some of my questions answered and get over these challenges. This project truly wouldn’t have been possible without others who helped me get over these challenges.
Accomplishments that I'm proud of
Creating a bot was not something I could've imagined me doing a few months ago, but now I have fully learned one example of the end-to-end programming pipeline. Getting over the aforementioned challenges and not giving up throughout the process has not only given me more technical knowledge, but it has impacted me mentally as I am more confident in my coding ability after this project.
What I learned
I fully learned the end to end programming pipeline of sorts. In particular, I learned the ins and outs of the various APIs I worked with and understanding how to deploy/manage server-based applications like a messenger chatbot.
What's next for MoodMatch
A lot is in store for MoodMatch, ranging from automating the song updates as well as adding more factors that may influence someone's choice of song. I plan on having an autorefresh of sorts for the list of songs already scraped off the web right now so that users will continuously get different songs. Perhaps even employing an account scenario in which users are never recommended the same song on multiple occasions is also one thing I plan to work on. Lastly, a lot of factors go into one’s feelings and current emotions, which definitely cannot be grasped by the current 2 questions asked my MoodMatch. I plan on adding more of these questions and even an open-ended question of sorts, in which users can type in their response, and emotional analysis will be performed on their inputs. In fact, a few of these are already in the works so be on the lookout for upcoming updates ;)
Built With
billboard
facebook
genius
html
javascript
node.js
python
spotify
Try it out
www.messenger.com | MoodMatch | Ever feel down, but don't know how to cheer up? Ever partying, trying to have fun but not knowing what song to play? Fear no more, MoodMatch is here, giving you the right song at the right time. | ['Viren Khandal'] | ['Track Winner: Entertainment and Silly'] | ['billboard', 'facebook', 'genius', 'html', 'javascript', 'node.js', 'python', 'spotify'] | 4 |
10,337 | https://devpost.com/software/lectureline | App (login page)
App (record a lecture)
App (condense into notes)
App (home page-store/organize notes)
Here
is the link to our business plan,
here
are our slides,
here
is the code demo video, and
here
is our Framer prototype!
Inspiration
As fellow students, we have firsthand experience with the struggles of trying to keep up with fast-paced lectures. Students are trying to take detailed notes that they can use to study and review while also trying to pay attention to the lecture and understand the key concepts. It is difficult to get down all of the information with this kind of stress, and students often return from lectures with incomplete notes that they are not able to understand because they were not able to learn much during their time in the lecture. We realized that the best way to learn efficiently is to pay attention to what the lecturer is saying and observe the visuals during the lecture so that when you leave the lecture, you are able to further review and study on your own with some basic understanding of the concepts. However, this isn’t ideal because you leave the lecture without any notes. We tried taking audio recordings of the lecture so that we could refer to it later, but that was time-consuming as we would have to listen to the entire lecture again in order to review. This inspired us to create LectureLine, so that students are able to learn as efficiently as possible by paying attention during lectures and reviewing information with the LectureLine notes.
It’s not just us! Students across the globe struggle with note-taking and the lack of absorption in fast-paced lectures. A recent study demonstrated that 72% of students have difficulty in taking adequate notes and can’t record information fast enough. After conducting a survey of 96 individuals this weekend, we discovered that 83.3% had a heavy increase in self-learning due to COVID-19, 90.6% felt rushed in lectures, and an overwhelming 92.7% said that they would love to see an application that creates notes in real-time and adds resources.
What it does
LectureLine is a clean and efficient mobile application that revolutionizes the process of notetaking with real-time transcription and summarization with links and visuals. Features of LectureLine include fluid note-to-note linking, real-time transcription, compatibility across all devices, notes storage and organization, and offline capabilities.
The application utilizes the process of real-time transcription, but also contains the feature of summarizing the information into bullet points that capture key points and concepts, which none of its competitors include. This is vital in crafting efficient and easy-to-study notes that are more helpful for students in high-stress situations. The application goes far beyond the simple transcription and summary. Along with this recording and transcribing process, the application detects and categorizes key terms and concepts in order to generate images and visuals that may help the student. Along with visuals as a resource, the application will also take these key concepts and display helpful links and resources in order to allow the student to delve deeper and explore the concept further.
How we built it
Using Framer, we developed a virtual prototype that demonstrates the UI/UX aspect of LectureLine. This includes a clear process of how the mobile application works, and what the desired interface of LectureLine looks like. Along with simply demonstrating the interface of note-taking, our virtual prototype shows a clear demonstration of how an individual can create an account, organize and store their notes, and change their type of subscription. Small and desired features that we hope to implement in the future are also included to display the full workings of LectureLine.
Additionally, we created a code demo as a proof of concept for LectureLine. This program, written in Python, utilizes the user’s device’s microphone to listen for information and then transcribes it into written notes. The program then identifies the key concepts of what the speaker is saying through natural language processing and includes links and images into the notes. Then, the user can save their notes onto their own device.
Challenges we ran into
Due to the time pressure of this project, we were not able to include all desired aspects of LectureLine into our prototype. Although our code demo demonstrates the basic workings of our product, we hope to fully implement these desired features in the future with more time. One of the biggest challenges we faced was incorporating the use of punctuation into our transcribed notes. It became difficult to analyze verbal diction in order to process punctuation and capitalization. To overcome this challenge, we utilized source code for punctuation and were able to adapt it into our situation and program.
Additionally, we were hoping to incorporate more features into our prototypes such as offline capabilities, note-to-note linking, and textbook recommendations. With more time, we hope to incorporate these features, as well as machine learning so that the app would, over time, be able to recognize a voice and adapt to the accent and speaking style in order to make more accurate notes. We also plan on using machine learning and natural language processing so that LectureLine can identify the subject of a lecture and take more precise and helpful notes based on the subject (for example: in science subjects, LectureLine would include more labeled diagrams).
Accomplishments that we're proud of
Although we had little experience in Python and natural language processing as a team, we were able to work together in order to understand these concepts. We are extremely proud of our working project and the new concepts we were able to learn. In order to incorporate these new concepts, we conducted a lot of research and went through a lot of trial and error.
Additionally, this was our first time using Framer to prototype our mobile application, and we feel accomplished with the professionalism and efficiency of our given model. Although we felt pressured under time, we are super excited to showcase our working prototype and code demo!
Another thing that we are proud of is our business plan and slides. We did our best to create professional and clean materials that showcase our company, product ideas, and strategies.
What we learned
During this process, we were able to learn a lot about emerging technologies such as natural language processing in Python and how they can be implemented into a situation as basic as note-taking. We also conducted research on efficient learning and note-taking strategies in order to maximize the potential of our product, so we were able to learn about how we can improve our own habits and hopefully help others as well!
We experimented and learned the use of UI/UX design as well as the importance of market analysis, which allowed us to better improve LectureLine in comparison to our competitors. Most importantly, we learned the importance of time management and efficiency, which allowed us to successfully complete this project!
What's next for LectureLine
LectureLine is a mobile application as of now, but we plan to expand to browser extensions and other technologies in order to increase compatibility. This provides the user with much more accessibility, as they can use any device to access its features. We hope to partner with educational institutions, such as schools and universities, in order to reach a larger portion of our main target consumers, students. The team will run various marketing strategies and promotions on numerous websites and university platforms in order to promote the use of this time-efficient and user-friendly product.
LectureLine also has the potential to benefit working professionals, and we plan to maximize that potential through an additional work industry version. This version of LectureLine would have features that are specific to taking notes for meetings and informational sessions. For example, LectureLine would take notes during a meeting and automatically send those notes to meeting participants in order to ensure that everyone is on the same page and that there is no confusion. Through further development, LectureLine would be able to create timelines and assign tasks to individuals based on meeting notes.
Further down the road, the LectureLine team hopes to provide new developments and features in order to increase the productivity and efficiency of our application. For further development of LectureLine, technologies such as natural language processing and machine learning will further be implemented to maximize the functions of LectureLine. This includes textbook recommendations, access to multiple languages, and browser compatibility. Additional features will be added as well, such as saving and condensing the lecture audio by increasing the speed and reducing the time when the lecturer is not speaking so that users may listen to it efficiently.
Built With
framer
natural-language-processing
python
pyttsx3
speech-recognition
Try it out
github.com | LectureLine | Revolutionize note-taking: every line counts. | ['Sasha Mittal'] | ['Best Beginner Hack'] | ['framer', 'natural-language-processing', 'python', 'pyttsx3', 'speech-recognition'] | 5 |
10,337 | https://devpost.com/software/cognito-hqr5pf | Note 1
The AI model has 80% Accuracy which makes it more accurate than clinical diagnosis by someone who is not an expert. The model is often times more accurate than a real person!
Note 2
We had the individual AI and Keylogger working, we were unfortunatley unable to combine them and thus there was no demo. To watch the individual demos for the AI and Keylogger you can go down to demo videos.
Inspiration
Every year thousands of people are diagnosed with Parkinson's. Many times its too late and their relatives are forced to watch as they become shells of the humans that they once were. The worst part is that Parkinson's is often difficult to detect and can be tricky to diagnose.
We wanted to create something that could help detect Parkinsons in a quick and efficent way, without being obtrusive or expensive.
Thus we present Cognito
What it does
Cognito is very simple
Cognito has a key logger which tracks specific typing metrics. Cognito stores these metrics which are then analyzed by an advanced AI algorithim which detects for signs of Parkinson's. If Cognito detects signs of the disease it will send an email alerting the user about the issue.
Cognito is a simple background script that doesn't need an internet connection and is simple and hassle free.
Cognito has plenty of potential as typing can not only be used for Parkinsons, but for many other dieases as well such as Huntington's and Alzheimer's Disease.
How we built it
We used the neuroQWERTY dataset and keras to develop an algorithm which detects whether or not a user has Parkinson's.
We then used python to develop a simple keylogger that tracks the metrics which the Algorithm will need to analyze.
Challenges we ran into
Developing the Algorithm was incredibly difficult. It took a lot of time and was difficult to debug. It was the group's first time working with numerical classification in AI.
Accomplishments that we're proud of
We are proud that we got the AI algorithm to work. It took a lot of time and effort, but it payed off!
We were also proud that we could detect such a deadly disease with such a simple metric... typing!
What we learned
We learned how AI works and how to use it and learned how to do key detection with python. For two thirds of the group it was their first time working with any sort of AI at all so this was a new and fun journey for all!
What's next for Cognito
We would like to develop our algorithm even further. Unfortunatley, Cognito has a 50% accuracy, however with the discovery of some new datasets and with the ability to spend more time with the Algorithim we feel confident that we could get the prediction to over 70%.
We then plan to release this so that we can start helping people all around the world!
Demo Videos:
Keylogger:
https://www.youtube.com/watch?v=iiWSOhdJlaA
AI:
https://www.youtube.com/watch?v=YuE35_pRSeE
Discords
CantTouchThis#8155
theaditya24#8701
anishfish#5103
Citation
Arroyo-Gallego, Teresa et al. “Detecting Motor Impairment in Early Parkinson's Disease via Natural Typing Interaction With Keyboards: Validation of the neuroQWERTY Approach in an Uncontrolled At-Home Setting.” Journal of medical Internet research vol. 20,3 e89. 26 Mar. 2018, doi:10.2196/jmir.9462
Adams, Warwick R. “High-accuracy detection of early Parkinson's Disease using multiple characteristics of finger movement while typing.” PloS one vol. 12,11 e0188226. 30 Nov. 2017, doi:10.1371/journal.pone.0188226
We used a few studies for inspiration and we used the tappy kaggle dataset. The keylogger and the algorithm were our own however.
Built With
python
Try it out
github.com | Cognito | Detect Parkinson's using AI and typing with up to 80% accuracy | ['Anish Karthik', 'Gaurish Lakhanpal', 'Aditya Tiwari'] | [] | ['python'] | 6 |
10,337 | https://devpost.com/software/pocket-justice | Thumbnail
Home Page
Petitions Page
Inspiration
Social activism is more relevant than ever, but due to social distancing, many potential avenues to push for reform have been hampered. Recently, a growing number of activists have been making their mark through signing online petitions. The problem we faced when participating in these online movements was that there was no centralized platform to find petitions from relevant movements. This wasted time looking for petitions and increased the possibility of not seeing petitions we would have signed otherwise.
That all changes with Pocket Justice. We have created a project to make at-home social activism more productive by reducing the time it takes to find petitions that you are passionate about. We hope that by making this process easier for many people, we can make an indirect contribution to the global movements for social change that are currently ongoing.
What it does
Pocket Justice brings together petitions from all across the internet to allow activists to easily find and sign petitions for causes that they are passionate about. Using automated scraping to keep petitions up to date, this tool greatly increases convenience to allow activists to focus on the things that matter over spending time hunting the web. We hope this will do a small part in contributing to the social justice movements of our day and age.
How we built it
Our application is served on Heroku and deployed as a MERN stack app, that is MongoDB, Express.JS, React and Node JS. We used React and the ant design library to create a smooth user experience for visitors, and used Node and Express to set up a fast reliable back end to serve petition data to the react client. Using the Beautiful-Soup library for Python, data is scraped in increments of 30 minutes from a list of petitions sites we found that were popular among activists. The Node JS side of the application handles requests from the client, but also automates the scraping process by running Python scripts on its own and pushing the resulting scraped data to the MongoDB database so that the site stays current and up to date. With an estimated 70-80 hours of combined development time among the three people on our team, we have put our hearts into deploying a working application over the course of the last 4 days.
Challenges we ran into
This was our first time creating a full stack application, so we had to learn how to build a back end and manage a database from the ground up. React hooks were also a beast of their own that we overcame while working on this project. Since this was the first time we had made a project with all of these tools, nearly every task required hours of google searching and debugging to get right. One of the biggest challenges we faced came when we were deploying the project. Figuring out how to integrate the front and back end successfully was a monstrous task that took nearly two days to get right. Boy are we are glad we started trying early!
Accomplishments that we're proud of
One thing we are proud of is getting a functional app deployed, despite starting with zero knowledge of how a back end works and having never deployed an app before!
Most of all, we are proud that a project we created may contribute in some small way to the path to equality for all men and women across the world through the hard work of activists and dedicated allies. We hope this will be useful to at least one, if not more of these people. We know we will be using it for sure!
What we learned
We created a web app for our project so it comes as no surprise that front-end design covered a huge portion of our workload. From building functional react components to styling our pages, we were able to sharpen our skills with front-end development and further our experience in dealing with react and JavaScript in general. Perhaps the hardest element of our project consisted of the back-end development since this was a topic that we were less familiar with. Our website implemented a web scraping function, which made this already difficult task even harder. Thus in order to complete our website, building our back-end knowledge and learning how to manipulate data with a database effectively was a must.
What's next for Pocket Justice
Although it may seem that Pocket Justice is complete, we still have a long way to go to improve the user experience and convenience. The ultimate goal is to save time and be the go-to site for online activists. This means better sorting and categorizing features using machine learning and natural language processing, as well as scraping data from a larger array of websites to make sure we don't miss anything.
Built With
beautiful-soup
css
express.js
heroku
html
mongodb
node.js
python
react
typescript
Try it out
pocket-justice.herokuapp.com
www.github.com | Pocket Justice | The best way to find petitions and make a positive social impact. | ['Adil Rasiyani', 'James Wang', 'Nikhil Singh'] | [] | ['beautiful-soup', 'css', 'express.js', 'heroku', 'html', 'mongodb', 'node.js', 'python', 'react', 'typescript'] | 7 |
10,337 | https://devpost.com/software/fakecheck-ksjxnd | Business Model Canvas
User Process
Rating Flow
Website Mock-up
1. The Problem our Product Will Solve
Widespread information in this era has made it easier for people to educate themselves about various topics. Along with this spread of knowledge a whole wave of misinformation to the world is also a barrier to the goal of educating people. For example, misinformation among the public regarding the health-related facts have caused instability in the world during this current pandemic. Ofcom has found that almost half of UK online adults came across fake news about coronavirus (Covid-19) at the beginning of April. Other political issues and problems have also been negatively affected by misinformation in social media and the news. With this project, we hope to give a platform for the truth to spread resulting in the healing of the world.
As the world becomes more globalized, news and media polarize the masses to greater depths with every major event, revolution, or social-impact movement. The grout among the bricks of the world's events is digital media - news articles, rapid-growth posts, videos. The problem is, with the incredible pace these media spread, nobody fact checks their authenticity, leaving many with the potential to spread harm or fear through misinformation.
The first step is to eliminate Fake News before it wreaks its havoc.
Issues with the Present Approaches:
Lack of Fire Power: Current fake news detectors or rating agencies make use of academic scholars with special expertise in their respective areas of study. This means that while you may get a deep analysis of a political piece of media, for example, you won't have this review done quickly, it won't appeal to the average person, and this method is limited by the physical hours fact-checkers can work.
Fact-Check Privilege: The fact is, most fact-checking sites are English-language based only. That means primarily U.S., Canada, and the U.K. based, with support only for those English-speaking communities. People who suffer from the wrath of misinformation - whether it be false health advice, targeted propaganda, or plain frauds often do so in countries where English is not spoken, and so don't have the privilege of being able to check the validity of their own media as alerts, in real-time.
We have built FakeCheck to bring the globe world-class, alert-ready and honest fact-checking that is intuitive, and easy for everyone to understand, regardless of their background. We also paired our tech with business value in mind, with a value-multiplying insight platform for businesses to better understand their brand image and perceived value to their customers around the world.
We make income for development and growth by serving personalized ads based on users' tastes in the news - something that is incredibly powerful, as well as charging for-profit businesses to gain value-multiplying insight from our platform on how their brands and banners are perceived.
What is FakeCheck?
We built a crowd-sourced media fake-news detection platform that puts the user and their media first while protecting anonymity to alert the world of fake news before it spreads and causes damage.
We make use of the value and well-thought technology as well as other great companies and the best tech to create a platform that is user-launched, and a true butler to its boss; the user!
Our Rating's Process:
And our user-flow below:
How Does it Work?
Our process works as follows:
Users have a piece of media they want to check a rating for or rate itself for fake news.
They go to our site and intuitively paste their link into our engine, which is the most prominent feature on our home-page.
If prior crowd-sourced ratings exist, the user immediately sees our curated and published ratings for that media, based on our users' input and proof.
We prompt the user, if they have the aptitude, to rate the media as well, as long as they have insight that may work in support of the media, or equally, against its truth-fullness, we respect their voice and let them share it. We process their queries and build and internal score we wish to publish.
Once our confidence metrics are met, we update a newly published rating for the media and classify and link it to other similar cases for users to see. We constantly adapt, just like a real business has to, to make use of the effort and insight of the world's user-base to republish.
We alert any watchers, or users who gave ratings of newly published updates by us, so they are constantly in the know, and can rely on being kept in the light instead of the dark, on the news, regardless of where they may come from.
We provide businesses with insight, based on alerts happening around the world related to fake news detection or negative sentiments and classified to their names to show their brand is recognized by users across the world, helping them improve and adapt.
This Competition, The Challenges, and Our Impact:
Through this competition, we wish to strive for an award because we believe our platform will make use of an incredible software suite based on live alerts to address a worldwide crisis of misinformation, especially during this pandemic.
We have been inspired by the current influx of fake news we see every day around the world to try and do something about it - the challenge comes from just how many people are misinformed and the speed at which it happens.
We want to win these challenges because we want to grow. We hope to use the prizes to help grow this idea to fruition to a point where we are able to make progress using the website's income from advertisement revenue. Something that is so under-implemented among the tech and news society today, this concept has the potential to strike rapid growth in the rating space for media, and help mitigate fake news' wrath altogether, by empowering the individual user to check their media easily.
Built With
django
graphql
python
react
typescript
Try it out
github.com | FakeCheck | A crowd-sourced platform to identify fake news | ['Solomon Kent Paul', 'Jadon Fan', 'chandlerlei2017 .', 'Jason A.'] | [] | ['django', 'graphql', 'python', 'react', 'typescript'] | 8 |
10,337 | https://devpost.com/software/laser-w6x8vz | Charging
2 charges
Join room at top
Inspiration
I was inspired by the hand game shotgun, and I wanted to make a similar, online game that was more fun and can be played with your friends even with lockdown.
What it does
There are 4 moves: charge, beam, forcefield, and atomic.
You start with 0 charges, and charge lets you gain a charge
Beam makes you lose a charge and lets you attack another user
Forcefield blocks against beam and costs 0 charges
Atomic costs 6 charges and defeats everybody
The game is turnbased, so you cannot see what the others do until everyone moves. Once everyone moves, there are animations that show what happened.
How I built it
I used AWS AppSync in conjunction with web sockets, DynamoDB, and GraphQL to allow users to see the actions and moves other users in the room took and I used antd for react animations on a canvas. The website scales because it can support any number of users in the same room. There would just be more users that appear around the circle. The bold user is you and the names of everyone are under their sprites.
Challenges I ran into
Making animations that correspond to where each user is was difficult. For example, if you shoot someone else the bullet has to be angles towards the other person and go towards them. I had to use a lot of math to calculate the paths.
Accomplishments that I'm proud of
This was a game that I wanted to create for a long time, so I feel very accomplished that I finally had the skills to do so and that it looks better than I thought it wood.
What I learned
I learned how to make cool react animations and how to make the paths to do so.
What's next for Laser
I will add an instructions page and perhaps more moves so that the users have more options to choose from when they move. I also want to get a different domain (like lasergun.io) so that its not hosted on my domain and more people would use it.
Built With
api-gateway
appsync
dynamodb
graphql
lambda
react
redux
route53
s3
serverless
websockets
Try it out
github.com
lasergun.rampotham.com | Laser | Laser is a fun, online multiplayer game that can be played with any number of people. Simply join the same room name to get started! | ['ram potham'] | [] | ['api-gateway', 'appsync', 'dynamodb', 'graphql', 'lambda', 'react', 'redux', 'route53', 's3', 'serverless', 'websockets'] | 9 |
10,337 | https://devpost.com/software/remote-sensing-rapid-kit-for-covid-detection | COVID detector
Prototype
Inspiration
Globally the world is in a panic situation on novel coronavirus, epidemically the infection originated from China and spread all over all the world. The infection of the novel COVID-19 causes 19 deaths per 1,000 infected persons. Viral detection assay was determined by the Enzyme-linked immune sorbent assay (ELISA), Quantitative polymerase chain reaction (qPCR), Flow cytometry, Tunable resistive pulse sensing (TRPS), Protein assays and Immunofluorescence Assay (IFA). The research on the COVID-19 founds that the protein present in the virus was arranged rapidly as Surface protein, Membrane protein and Envelope protein. The epidemic spread of COVID-19 might increase through currency notes, which increase the death rate all over the world. It is necessary to develop a method to detect COVID-19 virus by a simple, cost-effective and rapid method.
What it does
The epidemic situation leads to the loss of population in the world and also causes economic damage all over the world. The proposed method can able to detect virus rapidly on-site detection. The estimated cost of the probe was calculated to be 150 to 200 rupees. The time taken to get the result was found to 5 to 10 min.
How I built it
Nano based system in which modified Au NPs (gold NPs) was used with ACE-2 for the Immunofluorescence Assay for the detection of COVID and nanocarrier which is made of biopolymer (chitosan) with modified iron oxide nanoparticles was used as a vaccination process to stimulate the adaptive and innate immunity.
Challenges I ran into
Need to develop an antigen which is reactive to COVID-19 (inactivated form) and the formation of the complex of COVID and nanomaterial.
Accomplishments that I'm proud of
The prescribed solution can able to track many cases when we compare to available studies (PCR detection) when compared to the available technique the proposed method is cost-effective, selective and efficient. This will make people live to be routine all over the world.
What's next for Remote sensing rapid kit for COVID detection
Need to commercialize the kit all over the country and need to stop the upcoming waves of COVID-19
Built With
immunofluroscence
nanomaterial | Remote sensing rapid kit for COVID detection | Colorimetric COVID detector | ['Balasurya Balasurya'] | [] | ['immunofluroscence', 'nanomaterial'] | 10 |
10,337 | https://devpost.com/software/assimilate | The homepage
Asset page
ONE-PERSON-ONE-PORTAL
our idea is one person one portal ,one blockchain id multiple uses at single platform interconnected internally .It is at present deployed on ethereum test netwrok .In this portal a user can do kyc ,do asset/property management and track health records.In this portal you ned to upload documents and do first time verification of a document uploaded and after that you just have to send the documents.we have ocr working in backend that will fetch details like name ,dob etc from the document uploaded for verification and matching credentials .also after that you can create property ,transfer ownership like at present if you want to transfer the ownership of land you need to go to the governemnet offices which is hectic and costly .On this portal once property is created ,you can change ownership in minutes .similarly you can track the health records .
There are lot of challenges in this project which needs to be overcome ,but we think if the workis done in rght direction the portal can act as smart governance technique based on blockchain in the future
Steps to do kyc and asset management :
1.Signup on the protal using a valid adharr and put the name same that is on aadharr card
2.Enter the Right address of your ethereum account
3.now login using the username and password
4.To upload kyc document go to kyc panel and upload the document and put the details there
5.To create property/asset enter the details and ethereum address of the property holder(your address)
6.To view property go the view property section
7.To transfer ownership first add the the ethereum address of the next owner in add user panel
8.Approver the added user there only
9.Now go to view Property section and enterthe property id
10.put the address of new owner in chnage ownership box and click the chnage ownership button
11.same way you can change the value of property
Testnet Used:
Testrpc
– This is a local network running on your compuetr. 10 free wallet
accounts with test ether is allocated.
Wallet
Wallets are very
important part of a smart contract. It serves 2 purposes:
It serves as
client to ethereum wallet. To make a transaction on network ether
has to be spent and you can authorize these payments using this.
To
communicate with a blockchain and to deploy, you need to either have
a full node or a wallet cleint of the network. A wallet can
facilitate the communication with the network.
Note: We have used testrpc which provides us with 10 free accounts with their private keys and 100 ethers are linked to each account.It is these accounts which we are using for transaction. Tp run it go to : cmd/testrpc
Deployment
To deploy a contract
the following steps are to be taken:
Compile the
code and get necessary bytecodes and ABIcodes
Select a
network to migrate to
Make a
deployment with a wallet address as transaction sender
Authenticate
the transaction form the wallet and pay the transaction cost.
Your contract will
be deployed and will be assigned a public address which can be used
to access it.
Web
Interface
A web app can be
used to work with the contract. A backend javascript framework,
web3.js
, can intract with the blockchain. It can connect to
the network, identify the contract and perform transactions. There
are two kinds of transaction operation on a contract:
Web App
Open src/js/app.js file. This is the javascript file
that interacts with the contract.
Paste your contract address replacing 'contract_address
in “web3.eth.contract(abi).at('contract_address');
Go to remix page.
In the compile section go to details tab. In the ABI
section click on copy button to copy your ABI code.
Go to
src/js/app.js file and paste it replacing abi_array
in var abi = abi_array ;
Open
src/index.html to open the web app.
Interacting
on web App
Fill up the user
details and click add user or add admin. You will find block being created and ether being reduced in remix ide from the account we are using which got 100 free ethers.
In the command window you can see block being created.
Different Operations In the App
1.Intialising Contract
Output
msg.sender is made as creatorAdmin
msg.sender is made as superAdmin
msg.sender is made as verified user
2.Create a new Property
parameters
CreateProperty- property Id, propoerty value, property owner address
prerequisites
msg.sender should be admin
property owner should be verified user
Output
mark property Id, Status as Pending, propoerty value, property owner address
3.Approve the new Property.
parameters
approveProperty- property Id
prerequisites
msg.sender should be superadmin
current owner should not be msg.sender
Output
mark property Satus as Approved
4.Reject the new Property.
parameters
rejectProperty- property Id
prerequisites
msg.sender should be superadmin
current owner should not be msg.sender
Output
Mark property Satus as Rejected
Request Change of Ownership.
parameters
changeOwnership- property Id, new owner address
prerequisites
msg.sender should be the current owner
new owner should be verified user
current owner is not the new owner
No pending ownership change request should exist.
Output
mark property Ownership change request
6.Approve change in Onwership.
parameters
ApproveChangeOwnership- property Id
prerequisites
msg.sender should be superadmin
ownership change request must exist
Output
mark new owner address as current owner
7.Change the price of the property.
parameters
changeValue- propoerty Id, new property value
prerequisites
msg.sender should be the current owner
No pending ownership change request should exist.
Output
change property value
8.Get the property details.
parameters
GetPropertyDetails- propoerty Id
Output
Status, propoerty value, property owner address
9.Add new user.
parameters
addNewUser- address
prerequisites
msg.sender should be admin
No pending request for the address should exist.(user or admin or superadmin)
address should not be a verified user.(user or admin or superadmin)
Output
mark address as user
10.Add new admin.
parameters
AddNewAdmin- address
prerequisites
msg.sender should be superadmin
No pending request for the address should exist.(user or admin or superadmin)
address should not be a verified user.(user or admin or superadmin)
Output
mark address as Admin
11.Add new SuperAdmin
parameters
addNewSuperAdmin- address
prerequisites
msg.sender should be superadmin
No pending request for the address should exist.(user or admin or superadmin)
address should not be a verified user.(user or admin or superadmin)
Output
mark address as SuperAdmin
Approve Pending User.
parameters
approveUsers- address
prerequisites
msg.sender should be superadmin
Pending request should exist for address
Output
mark address as Verified user
Built With
css
ethereum
express.js
flask
html
http
javascript
json
jupyter-notebook
node.js
python
remix
solidity
web3
Try it out
github.com | # ONE-PERSON-ONE-PORTAL | ONE-PERSON-ONE-PORTAL | ['Avinash Kumar'] | [] | ['css', 'ethereum', 'express.js', 'flask', 'html', 'http', 'javascript', 'json', 'jupyter-notebook', 'node.js', 'python', 'remix', 'solidity', 'web3'] | 11 |
10,337 | https://devpost.com/software/covnatic-covid-19-ai-diagnosis-platform | Landing Page
Login Page
Segmentation of Infected Areas in a CT Scan
Check Suspects using Unique Identification Number (New Suspect)
Check Suspects using Unique Identification Number (Old Suspect)
Suspect Data Entry
COVID-19 Suspect Detector
Upload Chest X-ray
Result: COVID-19 Negative
Upload CT Scan
Result: Suspected COVID-19
Realtime Dashboard
Realtime Dashboard
Realtime Dashboard
View all the Suspects (Keep and track the progress of suspects)
Suspect Details View
Automated Segmentation of the infected areas inside CT Scans caused by Novel Coronavirus
Process flow of locating the affected areas
U-net (VGG weights) architecture for locating the affected areas
Segmentation Results
Detected COVID-19 Positive
Detected Normal
Detected COVID-19 Positive
Detected COVID-19 Positive
GIF
Located infected areas inside lungs caused by the Novel Coronavirus
Endorsement from Govt. Of Telengana, Hyderabad, India
Endorsement from Govt. Of Telengana, Hyderabad, India
Generate Report: COVID-19 Possibility
Generate Report: Normal Case
Generated PDF Report
Inspiration
The total number of Coronavirus cases is
2,661,506 worldwide
(Source: World o Meters). The cases are increasing day by day and the curve is not ready to flatten, that’s really sad!! Right now the virus is in the community-transmission stage and rapid testing is the only option to battle with the virus. McMarvin took this opportunity as a challenge and built AI Solution to provide a tool to our doctors. McMarvin is a DeepTech startup in medical artificial intelligence using AI technologies to develop tools for better patient care, quality control, health management, and scientific research.
There is a current epidemic in the world due to the Novel Coronavirus and here
there are limited testing kits for RT-PCR and Lab testing
. There have been reports that kits are showing variations in their results and false positives are heavily increasing.
Early detection using Chest CT can be an alternative to detect the COVID-19 suspects.
For this reason, our team worked day and night to develop an application which can help radiologist and doctors by automatically detect and locate the infected areas inside the lungs using medical scan i.e. chest CT scans.
The inspirations are as below:
1. Limited kit-based testings due to limited resources
2. RT-PCR is not as much as accurate in many countries (recently in India)
3. RT-PCR test can’t exactly locate the infections inside the lungs
AI-based medical imaging screening assessment is seen as one of the promising techniques that might lift some of the heavyweights of the doctors’ shoulders.
What it does
Our COVID-19 AI diagnosis platform is a fully secured cloud based application to detect COVID-19 patients using chest X-ray and CT Scans. Our solution has a centralized Database (like a mini-EHR) for Corona suspects and patients. Each and every record will be saved in the database (hospital wise).
Following are the features of our product:
Artificial Intelligence to screen suspects using CT Scans and Chest X-Rays.
AI-based detection and
segmentation & localization of infected areas inside the lungs
in chest CT.
Smart Analytics Dashboard
(Hospital Wise) to view all the updated screening details.
Centralized database (only for COVID-19 suspects) to
keep the record of suspects and track their progress
after every time they get screened.
PDF Reports,
DICOM Supports
, Guidelines, Documentation, Customer Support, etc.
Fully secured platform
(Both On-Premise and Cloud)
with the privacy policy under healthcare data guidelines.
Get Report within Seconds
Our main objective is to provide a research-oriented tool to alleviate the pressure from doctors and assist them using AI-enabled smart analytics platform so they can
“SAVE TIME”
and
“SAVE LIVES”
in the critical stages (Stage-3 or 4).
Followings are the benefits:
1. Real-world data on risks and benefits:
The use of routinely collected data from suspect/patient allows assessment of the benefits and risks of different medical treatments, as well as the relative effectiveness of medicines in the real world.
2. Studies can be carried out quickly:
Studies based on real-world data (RWD) are faster to conduct than randomized controlled trials (RCTs). The Novel Coronavirus infected patients’ data will help in the research and upcoming such outbreak in the future.
3. Speed and Time:
One of the major advantages of the AI-system is speed. More conventional methods can take longer to process due to the increase in demand. However, with the AI application, radiologists can identify and prioritize the suspects.
How we built it
Our solution is built using the following major technologies:
1. Deep Learning and Computer Vision
2. Cloud Services (Azure in this case)
3. Microservices (Flask in this case)
4. DESKTOP GUIs like Tkinter
5. Docker and Kubernetes
6. JavaScript for the frontend features
7. DICOM APIs
I will be breaking the complete solution into the following steps:
1. Data Preparation:
We collected more than 2000 medical scans i.e. chest CT and X-rays of 500+ COVID-19 suspects around the European countries and from open source radiology data platform. We then performed validation and labeling of CT findings with the help of advisors and domain experts who are doctors with 20+ experience. You can get more information in team section on our site. After carefully data-preprocessing and labeling, we moved to model preparation.
2. Model Development:
We built several algorithms for testing our model. We started with CNN for classifier and checked the score in different metrics because creating a COVID-19 classifier is not an easy task because of variations that can cause bias while giving the results. We then used U-net for segmentation and got a very impressive accuracy and got a good IoU metrics score. For the detection of COVID-19 suspects, we have used a CNN architecture and for segmentation we have used U-net architecture. We have achieved 94% accuracy on training dataset and 89.4% on test data. For false positive and other metrics, please go through our files.
3. Deployment:
After training the model and validating with our doctors, we prepared our solutions in two different formats i.e. cloud-based solution and on-premise solution. We are using EC-2 instance on AWS for our cloud-based solution.
Our platform will only help and not replace the healthcare professionals so they can make quick decisions in critical situations.
Challenges we ran into
There are always a few challenges when you innovate something new. The biggest challenge is “The Novel Coronavirus” itself.
One of the challenge is “Validated data” from different demographics and CT machines.
Due to the lockdown in the country, we are not able to meet and discuss it with several other radiologists. We are working virtually to build innovative solutions but as of now, we are having very limited resources.
Accomplishments that we're proud of
We are in regular touch with the State Government (Telangana, Hyderabad Government). Our team presented the project to the Health Minister Office and helping them in stage-3 and 4.
Following accomplishments we are proud of:
1. 1 Patent (IP) filled
2. 2 research paper
3. Partnership with several startups
4. In touch with several doctors who are working with COVID-19 patients. Also discussing with Research Institutes for R&D
What we learned
Learning is a continuous process. Our team learnt
"the art of working in lockdown"
. We worked virtually to develop this application to help our government and people. The other learning part was to take our proof of concept to the local administration for trails. All these “Government Procedures” like writing Research Proposal, Meeting with the Officials, etc was for the first time and we learned several protocols to work with the government.
What's next for M-VIC19: McMarvin Vision Imaging for COVID19
Our research is still going on and our solution is now endorsed by
the Health Ministry of Telangana
. We have presented our project to
the government of Telangana for a clinical trail
. So the next thing is that we are looking for trail with hospitals and research Institutes. On the solution side, we are adding more labeled data under the supervision of Doctors who are working with COVID-19 patients in India. Features like
Bio-metric verification, Trigger mechanism to send notification to patients and command room
, etc are under consideration. There is always scope of improvement and AI is the technology which learns on top of data. Overall, we are dedicated to take this solution into real world production for our doctors or CT and X-rays manufacturers so they can use it to fight with the deadly virus.
Built With
amazon-web-services
flask
google-cloud
javascript
keras
nvidia
opencv
python
sqlite
tensorflow
Try it out
m-vic19.com | M-VIC19: McMarvin Vision Imaging for COVID19 | M-VIC19 is an AI Diagnosis platform is to help hospitals screen suspects and automatically locate the infected areas inside the lungs caused by the Novel Coronavirus using chest radiographs. | [] | ['1st Place Overall Winners', 'Third Place - Donation to cause or non-profit organization involved in fighting the COVID crisis'] | ['amazon-web-services', 'flask', 'google-cloud', 'javascript', 'keras', 'nvidia', 'opencv', 'python', 'sqlite', 'tensorflow'] | 12 |
10,337 | https://devpost.com/software/biozene-interactive-bioinformatics | Why Biozene?
Problem Statement
Solution
Supports all kind of devices
Biozene will help in vaccine discovery
Benefits: Helps in decoding the DNA sequences of virus
Desktop View
Mobile View
Tablet View
Several Features
Data Visualization
View DNA features
Generate plot automatically
Generate Dot Plot between sequences
Mutation rate modelling
Amino acid frequency
Translation
Decode thousands of sequences within minutes
Decode thousands of sequences within minutes
DNA alignments and their scores
Amino acid frequency
Inspiration
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is the causative agent for the Coronavirus Disease 2019 (COVID-19). Since its first detection in December 2019 the disease has engulfed almost the entire world by spreading over more than 100 countries that resulted in the above 352,294 deaths as of 25th May 2020. This highly infectious virus spread via respiratory droplets and aerosols when an uninfected person comes in contact with an infected one. Without any drug or vaccine at sight, the world is slowly succumbing to the disease. Therefore, researchers around the world have started collaborating and sharing their research data so that with concerted efforts a cure for the disease can be developed quickly. In this challenging scenario,
Bioinformatics came out as one of the essential tools to analyze viral data as it provides vital information about the genetic makeup of the virus and also assists directly in the development of drugs or vaccines against the deadly disease.
The COVID-19 pandemic is far from over, and there is worldwide research on the development of effective diagnostic methods as well as treatments and preventable vaccines.
We wanted to automate the overall process so we came up with a solution in free time.
We took this as a challenge more than an opportunity and developed a bioinformatics application “Biozene” for researchers/scientists/anyone who is working on the DNA sequences of the virus.
What it does
Biozene is a bioinformatics application for computational biology and to perform basic to advanced tasks in a short amount of time. This application is developed considering COVID-19 in mind to help researchers/scientists or anyone who is working to fight with the pandemic.
It is a data analysis application for integrated and interactive analytics on genomics to compute and compare millions of sequences of COVID-19 DNA sequences.
Biozene can help scientists decode the genome of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that causes COVID-19 disease.
This approach could help in drug identification and vaccine development.
Features of Biozene:
1. Represent and analyze DNA sequences
2. View DNA Features
3. Protein Synthesis Analysis (Translation, Transcription, Complement, Amino Acids generation, etc)
4. Generate Genome Diagrams
5. Mutation Rate Modeling
Benefits:
1. Helps Researchers/Scientists
2. Saves number of hours
3. Free to use and supports all kind of devices
How we built it
Biozene is a SaaS application which supports all kinds of devices (responsive). The application runs on the cloud and performs tasks in real-time. We have used end to end pipeline structure to build the solution. Starting from data mining to deployment, we have used several tools, frameworks, libraries, and languages. The core language behind Biozene is “Python” and supported by the Tornado engine as a server. Below are the techniques used to develop the app:
Data Analysis and Visualization: Pandas, Numpy, Matplotlib, Seaborn, etc.
Core Language: Python.
Supporting language: Markdown, JavaScript, Bootstrap, etc.
Main Library: Biopython, and Scikit-learn.
Cloud Technology and Server: AWS, Tornado, and, Streamlit.
Additionals Tools: Git, Anaconda, Colab, Instamojo, Putty, etc.
NCBI and the University of Edinburgh are the two platforms where we collected a lot of information about the bioinformatics tools and algorithms. Biozene currently supports the “FASTA” and “GenBank” files that are available on NCBI.
Challenges we ran into
The biggest challenge of this year is the “Novel Coronavirus” itself. Biozene is deployed on free dynos on a cloud service provider and the challenge we are facing is of funds at the moment. We are not able to scale up the infrastructures on the cloud. For preparing this production level application, we used free services.
In the coming days, we would like to enhance the features like integration of Databases, authentication, malware, better UX, etc and for those integrations, we will need to upgrade the cloud services.
Apart from that, we are really excited to bring Biozene in production to help our researchers/scientists.
Accomplishments that we're proud of
We have developed this application in a very short span of time. After developing the solution, we reached out to a
few reputed research institutes and labs in India
who are working on vaccine development. They really find our solution impactful and at the moment we are exploring the opportunity to build a partnership with them so they can use Biozene and other custom analytics-based solutions. We are proud of our team who have contributed to the development of the project.
What we learned
We took this pandemic as a challenge more than an opportunity. Biozene is one of our special projects and so far and we are really happy with the outcomes and response from the community. At the moment, India is incomplete lockdown and our young and dynamic team is working from home (remote). We learned the art of work in these lockdown situations. Apart from it, on the technical and development side, we learned awesome-streamlit which is going to revolutionize the AI/ML domain in the next few months. The production level deployment also helped us learn new concepts like adding domains, add-ons, custom pipelines, etc. Learning is a continuous process and we will keep on learning going forward.
What's next for Biozene: Interactive Bioinformatics
We are adding more features in a few upcoming days to provide a robust and feasible tool to the bioinformatics community who is working to battle the deadly virus.
Coming Soon:
- Run Blast
- Machine Learning Modeling (Cluster and Regression Analysis)
- Phylogenetics and sequence motifs
Biozene is free to use so anyone can use it by their convenience. We are also developing a customized paid solution. Apart from the development, we are optimistic about the collaboration with the research labs here in India to accelerate their COVID-19-related R&D activities with Biozene and related custom solutions. We are committed and dedicated to work with anyone who is working to fight with COVID-19 to support their COVID-19 related research and discovery efforts using AI, ML, and Bioinformatics technologies.
Built With
amazon-web-services
anaconda
biopython
bootstrap
git
google-colab
javascript
markdown
matplotlib
numpy
pandas
putty
python
scikit-learn
seaborn
streamlit
tornado
Try it out
biozene.online
drive.google.com | Biozene: Interactive Bioinformatics Application for COVID-19 | Biozene is bioinformatic application for interactive analytics on genomics to compute and compare DNA sequences to speed up the vaccine discovery by reading the genetic structure of the viruses. | [] | [] | ['amazon-web-services', 'anaconda', 'biopython', 'bootstrap', 'git', 'google-colab', 'javascript', 'markdown', 'matplotlib', 'numpy', 'pandas', 'putty', 'python', 'scikit-learn', 'seaborn', 'streamlit', 'tornado'] | 13 |
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