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 |
|---|---|---|---|---|---|---|---|---|
10,511 | https://devpost.com/software/crunch-lsg1ku | Inspiration
We noticed that a huge number of restaurants and cafes had lost their sales due to COVID-19. They were giving out coupons and offers to get back business but not many came to know of those because of the lockdown (usual means of marketing like word of mouth and newspapers were not working anymore).
What it does
We decided to help such restaurants and cafes by showing their promotions on our website where they can easily sign up and display their offers.
How we built it
We built it through HTML, CSS, JS, and Google sheets API. We made a website through HTML and CSS and then added Javascript to the form and the frontend. We then integrated Sheets API and connected it to the form so we could use a spreadsheet as a database.
Challenges we ran into
Integrating the Sheets API with the signup form was quite tough and this was a major challenge.
Accomplishments that we're proud of
This was the first time that we used Google Sheets API as a database and connected it to a frontend.
What we learned
We refined our HTML and CSS skills and learned the fundamentals of Javascript and database management.
What's next for Crunch
We will now add more features like nearby hotels, more promotions, and mailing offers. We will also try to spread the word about our creation
Built With
api
css
html
javascript
sheets | Crunch | Crunch lets you see offers and promotions of nearby restaurants and cafes. | ['Rushank Goyal'] | [] | ['api', 'css', 'html', 'javascript', 'sheets'] | 15 |
10,511 | https://devpost.com/software/clean-and-green | The welcome page for our app!
You get to choose your language after you press the get started button.
This is the menu.
If you press on the button to calculate your carbon footprint, you are brought here.
You have to do this simple quiz to get your result.
Then, after you do the quiz, you get to know how many earths it would take if everyone lived like you. The screenshot is just an example.
If you go back to menu and press the short quiz on climate change, you are brought here.
After doing it, you get your score.
If you go back to menu and press "Everything you should know...". you are brought here.
If you choose the first option of the fun fact generator, you are brought here.
If you choose the second option by just reading facts, you are brought here.
If you go back to menu and press the "How you can help" button, you are brought here.
If you choose the "Learn by playing games", you are brought to this instruction page.
Then you are brought to the game.
If you choose the "Learn by reading", you are brought to this page.
If you go back to menu and choose the impact of COVID-19 on the Earth, you are brought here to the information page.
If you press "Next page" on the previous screen, you are brought here.
If you go back to menu and press "Collection of games", you are brought here. We already showed the fun fact generator and Save the earth!.
If you choose Draw the earth, you are brought here.
If you choose Catch the CO2, you are brought here.
If you go back to menu and choose sources used, you are brought here.
Inspiration
Climate change is a serious issue in the world today. Current efforts to solve and promote the issue of climate change has not been much effective. In our opinions, the key to solve climate change is to get more advocates, but in what why? That was the question we were stuck on. After doing hours of brainstorming and research, we found out that if there were more young people in the society who were more knowledgeable about the issue and know the potential effects of climate change, they will be more motivated to spread the information and change their lifestyle. Thus, we created our app with a slight twist to it: we filled the app with different interesting games for you to learn more about climate change, which could possibly motivate you to take action. There is, of course, also information which you can read if you prefer it that way.
What it does
Our climate change app has several sections. Firstly, there is a quiz which you can do to test out your carbon footprint and see how many Earths it would take if everyone lives like you. In the quiz, it asks you few simple questions about your daily lifestyle. After you have completed the quiz, you get to know a cool fact (if everyone lived like you, how many earths it would take) that might serve as a motivation to what you can do to help alleviate the severity of climate change! Secondly, there is a short quiz on climate change which tests your knowledge on general information on climate change. This quiz allows you to learn from your mistake and gain more knowledge on the basic facts of climate change. Thirdly, there is a place for you to learn more information on climate change. Even if you think you know everything about this issue, there is always more to learn! In this section, you can choose to either read facts or generate facts about climate change. Both ways are great ways to learn but it all depends on you and how you learn best! Fourthly, there is a place where you can learn about how you can help. This section is also divided on to two sections, a fun game or a short passage to read. The game is where you have to answer true or false questions of what you should do to contribute to alleviating the severity of climate change while also playing a game. The game is mischievous so get ready! Also, there is an instructions page before the game starts. Additionally, there is a place for you to learn how the ongoing pandemic (COVID-19) has affected the world. There are lots of interesting and very surprising facts and diagrams that we have created ourselves so make sure to look and read through that! Specifically, the diagrams and text compare aspects of the world before COVID-19 and during COVID-19. Last but not least, there is a tab for collection of games relating to climate change. These creative games are fun and are meant to motivate people.
How we built it
How we built this app is through a variety of steps. Firstly, we had to think of ideas to code for and what to include in our app. Secondly, we had to actually code. This step was of course, the most important step, so it took the longest. Over the days of the hackathon, we spent hours working together as a team and programming to make an app that can make a change in the world.
Challenges we ran into
Challenges we ran into along the way were ample. The progress of programming is never easy; a bug in your code can lead to potentially hours of searching for the source of the error. When we started coding for this app, we were first stuck because we had no idea what to code. Then, in order to resolve this issue, we looked around Google for global issues and noticed just how big the problem of climate change is. Thus, we, without a doubt, chose climate change and started working on what to include in our app. We decided that the best way to approach climate change is with a twist: we decided to fill the app with fun games and exciting quizzes to inspire people to join us in the battle against climate change. Over the days of the hackathon, we also sometimes had trouble coding. Sometimes, we as a team would have no idea how to continue. To resolve that, it required preservation, teamwork and resilience. We battled through the obstacles and spent long hours figuring out what to code and how to go about the app. All in all, though we definitely ran into loads of obstacles along the way, it was still a great learning experience.
Accomplishments that we're proud of
In the process of creating this app, there has been times where I feel proud of succeeding but there has also been times where I felt down for not being able to do something. However, I always made sure to know that failure brings you to success! Specifically, we are proud of the collection of games tab. In this tab, there are four games that allows people to interact with the app while also learning more about this issue. The first game is the fun fact generator. This can teach people about climate change. The second game is the save the earth game. In this game, the player have to try to get the image of the earth to touch the balls while also answering questions about what you can do to help. This is an excellent way to let the player learn about climate change while not feeling bored. The third game is the draw the earth game. This game is directed to children as they are allowed to have fun, be creative while learning. The last app is the catch the carbon dioxide game. This app is similar to the catch-the-mole game.
What we learned
From creating this app, we have learned that climate change is a much more urgent and serious issue than we thought it was. It is important to note that it is probably not only us who just recognised it, there are so much people out there that doesn't take climate change as seriously as it seems. From researching about climate change to incorporate into my fun fact generator to making games that motivates people to do something about climate change, it really upsets me to know that the climate is warming, animals are not living their desired life, plants' population are slowly declining, animals are going critically endangered and extinct but... so many people are not doing anything about it. Additionally, I have learned that many of the climate change activists has actually been exposed to this issue at a very young age. Therefore, by creating this app, I decided to add more components that is fun and exciting for children like catch the CO2 and draw the earth so that we can have more of activists in the near future.
What's next for Clean and Green
After creating this app, we, as a team, have decided to publish it to the internet so that the public can use it to learn more about climate change in a less boring and more exciting way. Instead of having facts thrown at them, they have the opportunity to learn through games and interact with the app. We are still trying to find more ways to get more people to use this app!
Built With
block-code | Clean and Green | We aim to motivate and inspire not only adults but also children to learn more and take part in the battle against climate change through exciting games, surprising facts and interesting quizzes. | ['Lisa Huang', 'Melissa Huang'] | ['Sustainability Track'] | ['block-code'] | 16 |
10,511 | https://devpost.com/software/covid19_tracker-mzsc6y | This project was bootstrapped with
Create React App
.
Available Scripts
In the project directory, you can run:
npm start
Runs the app in the development mode.
Open
http://localhost:3000
to view it in the browser.
The page will reload if you make edits.
You will also see any lint errors in the console.
npm test
Launches the test runner in the interactive watch mode.
See the section about
running tests
for more information.
npm run build
Builds the app for production to the
build
folder.
It correctly bundles React in production mode and optimizes the build for the best performance.
The build is minified and the filenames include the hashes.
Your app is ready to be deployed!
See the section about
deployment
for more information.
npm run eject
Note: this is a one-way operation. Once you
eject
, you can’t go back!
If you aren’t satisfied with the build tool and configuration choices, you can
eject
at any time. This command will remove the single build dependency from your project.
Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except
eject
will still work, but they will point to the copied scripts so you can tweak them. At this point you’re on your own.
You don’t have to ever use
eject
. The curated feature set is suitable for small and middle deployments, and you shouldn’t feel obligated to use this feature. However we understand that this tool wouldn’t be useful if you couldn’t customize it when you are ready for it.
Learn More
You can learn more in the
Create React App documentation
.
To learn React, check out the
React documentation
.
Code Splitting
This section has moved here:
https://facebook.github.io/create-react-app/docs/code-splitting
Analyzing the Bundle Size
This section has moved here:
https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size
Making a Progressive Web App
This section has moved here:
https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app
Advanced Configuration
This section has moved here:
https://facebook.github.io/create-react-app/docs/advanced-configuration
Deployment
This section has moved here:
https://facebook.github.io/create-react-app/docs/deployment
npm run build
fails to minify
This section has moved here:
https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify
Built With
css
html
javascript
react
Try it out
github.com | covid19_tracker | A covid 19 tracker including map representation, graph representation, total live cases representation and country wise details of the cases, recovered and deaths | ['Fayaz Azeem'] | [] | ['css', 'html', 'javascript', 'react'] | 17 |
10,511 | https://devpost.com/software/cov-care | Page shows requests of patient on site
Patient Details page
Login page
Register a new patient
Homescreen page of website
Login page for patient on app
Various Sign up options for patients with different medical background
Patient can update his/her medical parameters here
Sign up form for requesting hospitals
Inspiration
As the number of patients of COVID-19 continues to increase at an unpredictable rate, the number of beds in hospitals and centers set up by the government fall short of the requirement by a huge margin. The condition is so severe that the reports indicating the incidents of patients being kept on streets have surfaced recently. All patients are not required to be kept in specialized care units. Home quarantine and isolation with proper guidelines can be implemented in these less severe cases. This project is created to bridge the gap between the medical service provider and the patient.
What it does
Specialized care is expensive and not required by everyone, this will provide an inexpensive alternative to conventional methods.
-The extreme pressure on hospital beds will be reduced and more beds will be available to those in actual need.
-Early and efficient intervention and identification of suspected patients will help reduce the spreading of this highly contagious infection.
This service has two interfaces, which we will individually deal with in the subsequent sections:
Patient service side
The patients can install the android app and create an account. There is a choice between three categories which were already mentioned in the target user section. The patient then creates an account with the hospital of their choice. If the hospital is available then the patient can log in the app using their phone number as password, which can be changed later. The patient (or an active relative or nurse) can update the medical parameters viz, BP, Temperature, SPO2, Respiratory Rate, and AVPU value. The values entered are timely updated in the database and are monitored by the hospital on the website.
Moreover, each parameter has a set of information about it for instance, What is blood pressure?, How do we measure it? and other guidelines to use the instrument along with links to online tutorials to do so.
Hospital service side
Hospitals can register on the website by filling the sign-up form and can approve the registration of patients.
The dashboard of every hospital displays a list of patients by sorting them on the basis of their MEWS, displaying the more severe patients above and then the less severe once. The doctors can click on the specific patient account to see more details regarding his medical condition. Seeing the MEWS score and SPO2 values the doctors can decide which patients to immediately shift to the hospital.
How we built it
As mentioned above, we have two sides of this project i.e. app and the website and all the technical details are mentioned below:
Tech stack used:
-Java: the android app has been written in the Java language with the help of Android Studio.
-Django: the website is written using Django as the backend framework.
-Bootstrap: the frontend of the website is written using bootstrap.
-Firebase: Firebase has been used as the cloud backend service for the app.
-PostgreSQL: the database management system of the website.
Challenges we ran into
COVCare, as a service, can act as a bridge between medical practitioners and the patients. In order to accomplish this, this service requires active participation of the administration, hospitals and the patients. Fabrication of such a system was a major issue. We agreed upon a system of mobile application and a website to best suit our purpose.
We had to contact doctors to get real time information regarding the guidelines and monitoring protocols implementable currently.
Accomplishments that we're proud of
Certain features of the application that we are proud of and which make this project stand out are:
-This project not only helps the patient to connect with the doctors but also makes it easy for the doctors to analyze and monitor their patients.
-This project is very user friendly, the patients are provided with ample information so as to measure the parameters, they are provided with video links as well. The patients are reminded through notifications to fill in the data.
-No unnecessary information has been asked and the forms are kept informationally tight.
What we learned
This project requires the implementation of Django, BOOTSTRAP, and Java. We learned a great deal about the implementation of these languages to suit our requirements. Several bugs we encountered helped us to engage more with the project. Along with these technical skills we also acquainted ourselves with medical details regarding the coronavirus monitoring, classification of patients in L1, L2, L3 as well as people qualifying for quarantine. This project also motivated us to learn basic skills like Prioritization (80-20 Pareto Principle), team-work, video-making, and a variety of soft skills.
What's next for COV Care
Several essential features can be implemented to make this service more useful. Some of the various features we could not include due to time constraints-
-The application can be expanded to accommodate an information portal rendering important and correct information regarding COVID-19 to dispel all the fake news regarding it.
-A Patient-Doctor chat feature can be introduced to enable direct communication between doctor and patient.
-Notification service can be implemented to notify the worsening condition of a patient to the doctor.
-General improvement of layout and aesthetics.
-Some additional features to make the application easier to use.
-Expansion of the website to allow hospitals to monitor L2 patients in wards and to be notified when the patient needs to be moved to ICU.
Built With
android
android-studio
bootstrap
django
firebase
pyrebase
Try it out
github.com
praxiitr2.herokuapp.com
github.com | COVCare | A COVID Quarantine and Isolation Home Healthcare Service | ['Akanksha Verma', 'Ishan Rawat', 'Sarthak Sharma', 'Prakhar Gupta'] | ['Health Track', 'Open Water Accelerator Internship'] | ['android', 'android-studio', 'bootstrap', 'django', 'firebase', 'pyrebase'] | 18 |
10,511 | https://devpost.com/software/no-test-no-problem | COVID Positive ID
COVID Negative ID
COVID-19 Positive
COVID-19 Negative
Convolutional Heap Map
Inspiration
With COVID-19 tests being carefully rationed out and there being multiple scarcities, patients may not have access to a traditional test. Our software can diagnose a patient purely on a CT scan, eliminating the need for single use tests. We used the COVID-19 Lung CT Scans by LuisBlanche on Kaggle.
What it does
Our web app has a form for submitting patient data and uploading a CT scan image. We then pass the pixel data to our server, which runs several Tensorflow models. We then take the average confidence of all the models, and return the prediction to the browser. You can test it with the CT Scan images in the Devpost Gallery.
How I built it
We built 8 Deep Learning Models with Tensorflow and Keras that integrate convolutional neural network architecture and was trained using K-fold Cross-validation, in order to make best use of a limited dataset. Our model achieved nearly 90% accuracy, allowing hospitals to use this as a tool to diagnose patients when resources are limited.
Challenges I ran into
Over the course of this hackathon we were able to create a data model which achieves nearly 90% accuracy, one issue we had was not having a powerful enough processing unit to train the model from the start of the competition. We started using a NVIDIA V100 GPU to train the model on Google Cloud Platform. Given a better processing unit from the start and more time we would've been able to achieve greater accuracy, however we still manage ~90%.
Accomplishments that I'm proud of
We used a NVIDIA V100 Graphics Processing Unit on Google Cloud Platform in order to train our models. We were also able to finish this entire project in 24 hours.
What I learned
During the course of this hackathon we were able to learn and use Django to correctly link up the website wherein a user has to upload a CT Scan to the back-end data model which can predict whether a patient has Covid-19 or not.
What's next for No Test No Problem
We plan to add a database structure to hold patient and prediction data. We hope that this functionality will make our app more appealing to healthcare professionals.
Built With
css3
django
google-cloud
html5
jquery
keras
python
tensorflow
Try it out
github.com
www.notestnoproblem.live | No Test No Problem | We made a web app that utilizes machine learning to classify CT scans of lungs for COVID-19 and store patient data. This might be the difference between life and death if you cannot get a real test | ['Mohit Chhaya', 'Kabir Pathak', 'Pranish Pantha', 'Maanav Singh', 'Sachet Patil'] | ['Best Business Potential'] | ['css3', 'django', 'google-cloud', 'html5', 'jquery', 'keras', 'python', 'tensorflow'] | 19 |
10,511 | https://devpost.com/software/grow-me | Our Logo
Website
Plants Info Page
Plants Info Page
Plant Information
Plant Information
Plant Information Mobile View
Virtual Garden
Garden Log
Inspiration
Earth’s population is increasing, but its land is not. We decided to create a gardening app to help anyone to create a sustainable farm in their very own home while supporting local farms.
What it does
If you are looking to escape from the daily stresses of life or are looking to become a master grower Grow Me is for you. With information about 400,000 plants you can grow virtually anything in your backyard! Grow Me can help you plan and track your garden efficiently and effectively with our virtual garden planner and receive daily reminders to water your plants.
How I built it
The front-end was built with HTML, CSS, React, and TypeScript. We used trefle.io as an API for our project. We also used RxJs for asynchronous state management. The back-end was a combination of Firebase and Java + Spring.
Challenges I ran into
The first challenge we ran into was finding an API or library with the data we wanted. Even after we found a good API, we needed to set up an RxJs store so that data calls could be made effectively and asynchronously. Finally, it was a challenge to make the virtual garden portion of our project.
Accomplishments that I'm proud of
We’re proud that we were able to fetch, display, filter and sort the data, and allow users to create a virtual garden. We're also proud that we are able to develop the front-end and the back-end.
What I learned
As a team, we learned how to use APIs to fetch data, and how to create a backend with Java and Spring. We also learned a lot about gardening and plants.
What's next for Grow Me
We would like to create a GrowMe community that will support and encourage new growers to turn their backyard into a mini farm. We’d also like to improve our database by adding more varieties and info of our plants. Ideally, we'd also like to generate the virtual garden from a satellite image, and calculate amount of sunlight, etc. using Machine Learning. We are also going to try to get an SSL certificate and make our website secure. We believe with more detailed data and more features our project can become a real company!
Built With
css3
firebase
html5
java
javascript
node.js
nodemailer
react
rxjs
spring
typescript
Try it out
grow-me.us | Grow Me | An app to revolutionize the way gardening is planned and executed. | ['Siddhartha Chatterjee', 'Satvik Balakrishnan', 'Humza Dalal', 'Rohan Bodke'] | [] | ['css3', 'firebase', 'html5', 'java', 'javascript', 'node.js', 'nodemailer', 'react', 'rxjs', 'spring', 'typescript'] | 20 |
10,511 | https://devpost.com/software/new-connection | New Connection Chat Bot
Motivational Quotes!
Motivational Quotes!
Approaching user a new way of thinking!
Emotional Status!
Inspiration
Many people feel sad and gradually become depressed. They often find no one to share their feelings, even if they find someone, the listener often makes fun of him rather showing empathy. Thus the depressed person creates a defense mechanism by not sharing his dark thoughts. Many of them take wrong actions and few end their lives as well. We wish to help them and show them a possible way to deal with their failure.
What it does
It helps depressed people to break the cycle of depression and also show them a way to find new opportunities.
How we built it
We applied a neurological concept of how our left and right brain works, our left brain works well with conventional ideas and the right brain with new ideas.
We used
Chatfuel
for creating our bot as a prototype. And we created our
bot's brain decision flow
with
coggle.it
.
Challenges we ran into
We faced challenges to invent a new solution to inspire frustrated people and to execute our plan into a working chatbot.
Accomplishments that we're proud of
We are really proud of applying our innovative concept regarding human psychology into this project. We are also very proud of how we executed our plans starting from mind mapping and applying all conditional statements.
What we learned
How to create a chatbot
,
Human Psychology
,
Team Work
,
How to deal with frustration/depression
,
How to work collaboratively in under pressure
,
How to Solve Real-Life Problem with lots of planning and communication
.
What's next for New Connection
We want to enhance the empathetic capability of this bot and also add new features like NLP, AI, Deep Learning.
Built With
adobe-illustrator
chatfuel
coggle
facebook-chat
facebook-messenger
facebook-page
Try it out
m.me | New Connection | Chatbot for depressed people. | ['Md. Asif Iqbal Fahim', 'Md. Zahid hasan'] | [] | ['adobe-illustrator', 'chatfuel', 'coggle', 'facebook-chat', 'facebook-messenger', 'facebook-page'] | 21 |
10,511 | 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'] | 22 |
10,511 | https://devpost.com/software/garbagedetector | Recycle.AI - The Smart Cleaner
Why we need Recycle.AI?
Recycle.AI Logo
RecycleAI
Introducing Our Initiative, recycle.AI!
Our Initiative
Recycle.AI is a multiphased initiative utilizing modern technologies such as Machine Learning, robotics, and game development to encourage the responsible usage and consumption of our natural resources around the world.
We noticed that most of recyclable materials and products are not actually recycled but rather thrown into landfills. Note that roughly 80% of rubbish in landfills is recyclable which is honestly, way too much!
Our initiative focuses on the youth, households, organizations, and the government, aiming to encourage recycling amongst our local and the global community.
Youth Phase
Introduction
The youth phase is a recycling-based game where children can score points by correctly identifying if an object is recyclable or not, helping them understand recycling from a young age. The game is built for any setting and simply works by clicking the right bin for the item that is to be disposed of. It can be used to teach children how to recycle in classrooms or can be an educational activity children can do with their parents.
How it is built
Using C# and the unity game engine, the CAD was made in Autodesk inventor
Households and Society Phase
Introduction
We built a tool targeted at small organizations and households that can identify if an object is recyclable or not. The tool is implemented on our website where the user can read about our mission as well as utilize our tool to ensure they are disposing responsibly
How it is built
Using Machine learning and HTML, namely using the tf.keras framework to build a convolutional neural network, and the Flask API to connect the python with the HTML. The essence of it is that we trained a Deep Convolutional Neural Network to classify images using a dataset and label them based on one hot encoded values.
Issues and how they were overcome
The main issue regarding the performance of the network was addressed when we increased the size and shape and made the network far bigger, however we did not get enough time to trial and error the design so we were not able to improve on our second iteration. The padding of the images inputted by the user. This was fixed using a Pillow implementation that added padding:
`` python
if test:
inputData = Image.open('test/'+testfile)
else:
inputData = Image.open(testfile)
desiredSize = (512,384)
im = inputData
old_size = im.size
ratio = float(max(desiredSize)) / max(old_size)
new_size = tuple([int(x * ratio) for x in old_size])
delta_w = desiredSize[0] - new_size[0]
delta_h = desiredSize[1] - new_size[1]
padding = (delta_w // 2, delta_h // 2, delta_w - (delta_w // 2), delta_h - (delta_h // 2))
new_im = ImageOps.expand(im, padding)
im = new_im.resize(desiredSize, Image.ANTIALIAS)
im.show()
inputData=im
The model
The model can be seen below:
model.add(layers.Conv2D(32, (4, 4), activation='relu', input_shape=( 384,512, 3)))
model.add(layers.MaxPooling2D((2, 2)))
model.add(layers.Conv2D(64, (4, 4), activation='relu'))
model.add(layers.MaxPooling2D((2, 2)))
model.add(layers.Conv2D(64, (4,4), activation='relu', input_shape=(384, 512, 3)))
model.add(layers.MaxPooling2D((2, 2)))
model.add(layers.Conv2D(128, (4, 4), activation='relu'))
model.add(layers.MaxPooling2D((2, 2)))
model.add(layers.Conv2D(128, (4, 4), activation='relu'))
model.add(layers.Flatten())
model.add(layers.Dense(128, activation='relu'))
model.add(layers.Dense(64, activation='relu'))
model.add(layers.Dense(32, activation='relu'))
model.add(layers.Dense(16, activation='relu'))
model.add(layers.Dense(6))
this is a multilayered convolutional neural network using 4x4 filters and the relu activation function, our loss metric was Mean Squared Error.
Society Phase
Introduction
This concept involves utilising robotics to effectively locate and manouver small, recyclable materials to recycling bins, as they are often not as readily avaliable as regular dustbins. These robots should be autonomous, however as of now the robot has just finished construction, it is able to pick objects with up to 8 inches in diameter awith the idea being to install a bin bag in the large empty space to store the objects.
How was it built
As evident in the CAD file it was built using the VEX Robotics V5 system, as of now, the components do not have the computational power to fully impliment an algorithm as computationally intensive as YOLO, and so we chose not to try port it to the system.
Complications
The robot only finished construction about 5 minutes before the video was being made and so it could not be showcased fully, but the CAD renders are avaliable on this page.
Quick overview
-The intake flaps increase the contact between the target and the bot
-The rubber treads on the intakes increase the traction of the intakes
-The 8:1 gear ratio of the drivebase ensures the robot operates at maximum speed and efficiency
Future plans for the robot
The final aim of this phase of the initiative is to implement the YOLO algorithm alongside the robot. This algorithm draws bound boxes around the images it is interested in in real time. The next step would be to implement PID controls so that the robot is able to meet its target without overshooting, by slowing down as it approached, or alternatively, using a gyroscope, or even odometry(i.e. position tracking) to maintain the robot's movements
Built With
bootstrap
flask
html
keras
python
tensorflow
Try it out
github.com
recycleAIdemo.ved07.repl.co
sharemygame.com
drive.google.com | Recycle.AI | Responsible consumption, reduced depletion | ['Vedaangh Rungta', 'Emmanuel Ma', 'Ishan Baliyan', 'Mahad Ali Khan'] | [] | ['bootstrap', 'flask', 'html', 'keras', 'python', 'tensorflow'] | 23 |
10,511 | https://devpost.com/software/algorithm-visualization-gui | Inspiration
I have always wanted to make this project since it's so fascinating to actually see how these algorithms work and to visually compare which one is faster.
What it does
This project visualizes array sorting with whatever algorithm the user wants and on which ever data set. There are five algorithms - merge sort, quick sort, insertion sort, selection sort and bubble sort and three data sets - Random elements, few unique elements and reversed sorted array. The algorithms can be visualized in either 2D or 3D. All the choices are to be made by the user through the GUI.
How I built it
It was built using tkinter and matplotlib. I took a course on algorithms to cover them in depth
Challenges I ran into
The real challenge was plotting the bars in 3D. I had to think about it a lot.
What I learned
I learned which algorithm is faster on what type of data set.
Built With
matplotlib
numpy
python
tkinter
Try it out
github.com | Algorithm-Visualizer | This is a GUI Application to help users visualize algorithms to help them understand how they work. The algorithms can be compared to check which one is faster. The visualization can be 2D or 3D. | ['maryamnadeem20 Nadeem'] | ['Repl.it'] | ['matplotlib', 'numpy', 'python', 'tkinter'] | 24 |
10,511 | https://devpost.com/software/deathaftercoding | Inspiration
it's ez to work
What it does
more than 5 thing
How I built it
it's ez to work
Challenges I ran into
it's ez to work
Accomplishments that I'm proud of
it's ez to work
What I learned
it's ez to work
What's next for DeathAfterCoding
it's ez to work
Built With
css
html
javascript
mysql
php
phpmyadmin
sql | DeathAfterCoding | to make a chalenges fo kids to learn what is programing and you we DeathAfterCoding to learn anything in coding | ['Gade Gade'] | [] | ['css', 'html', 'javascript', 'mysql', 'php', 'phpmyadmin', 'sql'] | 25 |
10,511 | https://devpost.com/software/project-voice-of-the-world | The Voice of the World
This work aims to propose an information system for managing complaints of all types of prejudices and abuses for anyone who may be anywhere in the globe. The elaboration of this project was conceived with the concepts of BIG DATA, DATA LAKE and BLOCKCHAIN. Based on a collection of information contained in a report, a pilot project was developed to manage the complaints. In the pilot project, all people's complaints were described in an electronic spreadsheet, and based on this information, the complaints were identified and quantified, generating reports for management and decision making. With the identification and quantification of complaints, it was possible to produce management reports and information for future quality improvement work. These reports assist managers in making decisions, helping to identify the respondents with the highest rate of complaints, in the main problems. With the help of the reports generated through the pilot project, the manager can act previously in the denunciations, thus not causing a new denunciation of the same denounced.
Built With
app
bigdata
blockchain
datalake
opensource
website
Try it out
github.com | Project Voice of the World | Project aims to create a database with reports of prejudices and abuses of all kinds. | ['Jose Alexandro Acha Gomes'] | [] | ['app', 'bigdata', 'blockchain', 'datalake', 'opensource', 'website'] | 26 |
10,512 | https://devpost.com/software/allai-space | Website home page
Word replacement
Sentiment analysis
Email editing and suggestions
Inspiration
In an age of technology and a pandemic, virtual communication is extremely important. We rely on technology to convey our words to others, and oftentimes, it is very easy to misuse them, completely unintentionally. However, using inclusive language, as our keynote speaker noted, is a very powerful way to make a change towards better diversity and inclusion in any space, especially in professional settings. Allai is a tool to enable this, providing suggestions for inclusive language in your own writing.
What it does
Allai.Space targets inclusive language through three main pillars: vocabulary, sentiment, and syntax. For vocabulary, it examines common biases in language towards race, gender, and ability. The platform will directly replace key terms in typed or pasted text and produce it in a read-only output pane. Regarding sentiment, the web application utilizes the Google Cloud Natural Language program to examine overall sentiment of the passage and color the output pane accordingly. Using emotionally aware language is important for being inclusive not only in the interest of being positive, but also to avoid accidental offense. The final facet, syntax, also utilizes Google Cloud Natural Language. It identifies "entities", specifically people, and tracks any adjectives dependent on them. Based on the sentiment score of the adjective and the entity sentiment score of the person being described, suggestions will be generated in a passive, people-first format (i.e. disabled man will suggest modification to man with disability). Suggestions were generated using the Python Natural Language Toolkit library's Wordnet function.
How we built it
The frontend was built using HTML/CSS and Javascript. We started by creating just the user interface and connecting input and output text areas. Then, we moved to using Flask to pass data between backend Python files and frontend Javascript. We collected and returned user input as a string, allowing to easily populate it in HTML rendering.
The backend was created using Python combined with Google Cloud's Natural Language API. For vocabulary replacement, we made a dictionary containing harmful terms and their inclusive counterpart. Whenever a harmful word is found in the text, the program replaces it with its counterpart and spits out the new text with the inclusive terms put in. For sentiment analysis, we used the sentiment functionality of Google Cloud Natural Language and CSS styling on the front-end. Finally, for syntax, we used the entity, sentiment, and syntax functionalities to identify and execute necessary suggestions. Using the entity functionality of Google Cloud, we focused only on nouns describing a person (man, user, resident, etc.). After that, we only made suggestions if the adjectives dependent on the entity were negative or created a negative entity sentiment.
Challenges we ran into
Some challenges we ran into were connecting our frontend and backend programs. When editing the user input text, we tried sending the input to a text file using JavaScript and modifying it. However, we soon realized that JavaScript does not support writing to and from text files from the client-side due to safety reasons. We then changed our approach using Flask to connect our JavaScript and Python classes. We sent the user input as a string from JavaScript to our Python classes and ended up making all our text modifications with Python. Flask allowed us to both POST and GET allowing our web page to run a complete backend to frontend loop every time we submitted input text on our website. We also initially struggled with authentication in Google Cloud, so we started with an individual functionality and walkthrough before exploring other features. We also ran into issues with differentiating punctuation from words such as commas and periods when analyzing words. To split punctuation from the words without adding spaces, we wrote a regular expression that split punctuation from the end of words as its own element.
Additionally, while we liked the domain we purchased from Domain.com (allai.space), we were unfortunately unable to connect with our local Flask host. We hope to do that as we try to launch the platform.
Accomplishments that we're proud of
We are incredibly proud of our ability to implement almost every facet of the Google Cloud Natural Language API available. Additionally, we made an effort to delegate front-end and back-end tasks in what was largely our first college hackathon experience. As a result, we were able to integrate the two to prioritize both form and function. We learned many new technologies from basic collaboration in Git to natural language processing to web development in Flask. We were familiar with the underlying languages, but these frameworks and APIs helped us develop a full-fledged product.
What we learned
Google Cloud Natural Language Processing APIs
Processing data and files in Python
Using Flask to connect and pass data between backend Python files and frontend JavaScript/HTML/CSS
JavaScript/CSS/HTML to develop a clean, organized, and functional webpage
Collaborating through Git
What's next for Allai.Space
In the future, we plan to augment the features of Allai.space. A few of the possibilities include denoting the sentiment for each sentence rather than the entire paragraph, allowing users to more easily pull out negative sentences, as well as inline suggestions instead of in a separate box below. We are going to host our web page on the domain allai.space and also hope to create a Chrome extension, allowing Allai’s functionalities to apply to any text field on the browser.
Built With
api
css
domain.com
flask
github
google-cloud
html
javascript
natural-language-processing
python
Try it out
github.com | Allai.Space | An inclusive language autocorrect platform | ['Aayushi Modi', 'Riya Baheti', 'Darsh Desai', 'Amartya Ranganathan'] | ["Hack'20 Identity Track"] | ['api', 'css', 'domain.com', 'flask', 'github', 'google-cloud', 'html', 'javascript', 'natural-language-processing', 'python'] | 0 |
10,512 | https://devpost.com/software/hack20-webapp | Native App Displaying the Web app and Hot zones around UW
Reminders from the Native App to wear a mask in a densely populated area
Web App Display on a PC
Native App Displaying the Web app and Hot zones around UW
Inspiration
We were inspired by efforts to improve student safety and contact tracing on campus to create a heatmap that allows users to avoid the most crowded areas. We hope to help students engage with campus facilities and businesses while respecting social distancing guidelines. However, the app can be used anywhere, not just on college campuses!
What it does
In response to the COVID-19 pandemic and the growing need for responsible social distancing, DawgMaps provides users with real-time information about large gatherings and crowds in their area to help users avoid them. We designed a native Android mobile app to crowdsource real time location data, compile it into a cloud database, and display it on a webapp that generates population density heat maps. The native app displays the webapp and collects all the other information in the background allowing users access to the heatmaps on any platform. Additionally, the native app has functionality that detects when a user enters a sufficiently dense crowd. When that happens, the app issues a notification to remind the user to wear a mask.
How we built it
We programmed the native app in Java using Android Studio. We used React and the React Google Maps API for the heatmap web app. We used Firebase Firestore to store location data. Fast and efficient nearby user lookup is accomplished via variable-precision geohashing. This allows us to quickly and accurately find users near a location at a specified precision.
Challenges we ran into
Most of our team members were new to React, so we initially had difficulties learning how to integrate the Google Maps API in React. Additionally, a central component of this project is Firebase, as it was used as a connection between the webapp and the Android native app, and since our team was inexperienced with using Firebase at all learning on the fly proved to be one of our biggest challenges.
Accomplishments that we're proud of
We were able to have the functionality of the heatmap supported on both mobile and desktop and make the UI simple and intuitive. Additionally, we set up an efficient database structuring that allows for fast user lookups. This allowed us to only request and render data in the area being viewed by the webapp, decreasing bandwidth usage and improving responsiveness.
What we learned
We learned a lot about how to integrate the Google Maps API into a React component and update the map’s component state to center around the user’s chosen location. We learned how to navigate user data permissions and ensure users are aware of what data is collected on them and how it is collected.
What's next for DawgMaps
We plan to have the app compile statistics for places of interest so we can display trends for each place, indicating how busy each place usually is at any time. Additionally, we’d like to partner with the UW contact tracing app to allow location updates from a wider demographic on the UW campus. Finally, not fully relying on the native app would be ideal. We would like to find alternative methods of detecting crowds of people, possibly by pinging cell phones from cell towers.
Built With
android-studio
css
firebase
html
java
javascript
react
Try it out
github.com
hack-20.web.app | DawgMaps | Build heatmaps of large groups to allow people to avoid crowded areas | ['Karthikeya Vemuri', 'Abhay Deshpande', 'Cindy Zou', 'Ian Wang', 'Abhinav Bandari'] | ["Hack'20 Campus Track", 'Google Cloud COVID-19 Hackathon Fund'] | ['android-studio', 'css', 'firebase', 'html', 'java', 'javascript', 'react'] | 1 |
10,512 | https://devpost.com/software/orange-juice-hologram-jy5qr1 | Inspiration
COVID-19 has forced students like ourselves to adjust to an unprecedented online learning environment. The proximity and density of university classes is highly conducive to the spread of a deadly pandemic; virtual learning has already become, and will be, the norm for the foreseeable future. If the return of in-person instruction is nowhere in sight, our objective should then be to optimize our virtual learning experience as much as possible.
What it does
Our project transforms a video so that it can be reflected onto a Pepper's Cone, creating a lifelike three-dimensional display on top of your laptop/tablet screen. Our first Pepper's Cone was created from a used orange juice bottle - hence the namesake Orange Juice Hologram.
How we built it
Our application is hosted on Google App Engine and uses the Flask web application framework. Our frontend is written in HTML and CSS. Our backend is written in Python with the support of various libraries including MoviePy, OpenCV, PyTorch, Matplotlib, and PIL.
Challenges we ran into
Google App Engine - it was difficult to manage videos in the read-only environment for GAE until we discovered the existence of a tmp directory. We worked around this with signed urls as well which was a cool feature to interact with cloud bucket from python.
Accomplishments that we're proud of
We created a prototype of a larger pepper's cone (for our own entertainment in the future!)
Running website deployed to GCP
Using state of the art deep learning models to perform image segmentation
Automating video editing with dynamic tile positioning algorithm that we designed
Webapp pipeline from start to finish for creating 3D hologram video
What we learned
Utilizing computer vision to do image segmentation to perform graphic manipulation
First time using flask (very nifty)
Utilizing GCP (first time!) (pretty cool)
What's next for Orange Juice Hologram
Less scuffed demo video (sorry!!)
Faster and more robust pipeline for video creation online
Live conversion for use for video conferencing or other live video settings
Github
https://github.com/arthurjl/orangejuicehologram
Built With
css
flask
google-app-engine
html
moviepy
opencv
python
pytorch
Try it out
orangejuicehologram.wl.r.appspot.com
github.com
web.archive.org | Orange Juice Hologram | Create holograms from any video to display with a cheap (orange juice bottle plastic) hologram display! | ['arthurjl Liu', 'esthermliu', 'Daniel Zhu', 'Jake Jung'] | ["Hack'20 Quarantine Track"] | ['css', 'flask', 'google-app-engine', 'html', 'moviepy', 'opencv', 'python', 'pytorch'] | 2 |
10,512 | https://devpost.com/software/is-my-food-ready | Employee Control Panel
Order Management Panel
TV Status Board
Entering Order #
Order In Progress Screen
Order Complete Screen
DOMAIN.COM ENTRY:
ismyfoodready.online
Inspiration
One of our team members recently picked up an online order from a local restaurant (Armadillo Willy's). He was surprised to see they were using a white board to list when orders were ready! The same day he walked by a different restaurant which was using an Excel spreadsheet to tell customers when their orders were complete!
While both of these are creative solutions in the face of this global challenge, we thought it showed that there was a lack of a cheap/easy to use order status software.
There is also a fundamental accessibility problem that has arisen as a result of the sudden reliance on online pickup. Visual information such as TVs or white boards is exclusionary towards blind people and those with vision loss.
Audio only notices such as an employee shouting order numbers is exclusionary towards the deaf and hard of hearing.
"Is My Food Ready?" seeks to solve both these critical accessibility issues and help make managing online orders and takeaway easier than ever for small businesses. Through this we hope to make social distancing smooth and the quarantine a bit more smooth.
What it does
Our project acts as a standalone PWA enabling small businesses without the large resources of corporate chains to have a competitive order readiness software.
The business owner/manager first goes to our sign up page and enters some info about their store, while also listing their employees email addresses.
These employees can then login using google to access our employee dashboard. Here you can either manage orders, or access the customer facing display screen (intended to be put on a TV).
In the order management screen employees can enter information about an order, including the customer's phone number. When the customer's order is ready, they will receive a text!
The employee is able to mark orders as "Ready" once they are cooked. This will display on the TV view, customer's phone, and send them a text. Once the customer picks up their order, the employees can "Complete" the order, thus removing it from the screens.
The customer is also able to enter their order number to view information about their order on their own phones.
The TV view lists the status of all orders in the system. Whenever an order is ready the order number is read out-loud to help those with visual impairments.
How We built it
We built our project as a PWA using react.js. Firebase acts as our back-end, storing restaurant and order data. We used the Twilio API to text customers when their order is ready.
Challenges We ran into
Power outages! Several of our team members are from California, and are thus enduring rolling blackouts.... Despite randomly losing team members for hours at a time, we were able to complete the project!
We struggled a lot with the front end since none of us are really front-end/UI focused developers. This however was a really good learning experience, and helped broaden our capabilities as programmers.
Fonts... For some reason it was a nightmare importing custom fonts into react.js. Thankfully we eventually figured it out, but it took a lot more experimentation than we ever expected.
Accomplishments that I'm proud of
We managed to get out project to complete functionality by the end of the Hackathon. We've each participated in a few blackthorns before, but often only end up with a partially completed project or bare minimum functionality. We were really happy therefore to have something nearly ready for production. There are of course features to add (as we'll detail later) but we were able to realize much more of our scope than before
Accessibility Improvements! We were really happy that we were able to build some solid accessibility improvements into our app. Massive corporations with very expensive custom POS systems still often fail to have things like Audible readouts or display boards, so being able to build something that helps those with disabilities was awesome!
We were really happy that we were able to have the status updates be texted to our customers. We think this is a great feature that plenty of the large chains don't even have.
What I learned
A lot more about remote work! All of us are in different towns right now, with 1000's of miles separating some of us. This was a very useful venture into learning a lot of the remote work tools out there.
Accessibility. We always try to think about ways our apps can be accessible, but since it was a core focus of this project we learned even more.
We learned a lot about front end/styling work in react.js. Most of us are back-end focused so this helped expand our expertise and make us better developers.
React! Some of us are very experienced in React by now, but for others it was one of their first big projects in the framework. Its a very useful framework so was helpful to get further experience for all of our team members.
What's next for Is My Food Ready?
Customization options for businesses. We want to let businesses customize the appearance of their order/TV pages to better convey their brands. Allowing companies to upload their own photos would also be very cool.
GPS detection of which stores/restaurants you're near.
QR code functionality, so that a customer can scan a QR code to find the status of their order.
Estimated wait time, automate purging of old orders.
Integrations into POS systems/ability to actually submit/revise orders.
Built With
css
domain
firebase
gcp
html
javascript
material-ui
react
twilio
Try it out
github.com
is-order-ready.web.app
ismyfoodready.online | Is My Food Ready? | Order Status platform designed to help small businesses with acessibility and social distancing. | ['Alan Brilliant', 'Bryan Lim', 'Ray Altenberg', 'Drew Ehrlich', 'Farhan Saeed'] | ['Google Cloud COVID-19 Hackathon Fund', '1517 Project Grant', 'Best Domain Registered with Domain.com'] | ['css', 'domain', 'firebase', 'gcp', 'html', 'javascript', 'material-ui', 'react', 'twilio'] | 3 |
10,512 | https://devpost.com/software/pobs | Inspiration
Our inspiration behind our Police Officer Bias Simulator (POBS) was to address current police brutality issues ongoing in America today. We strive to remove the cultural, racial, and gender biases that greatly influence police officer actions. In light of the Black Lives Matter movement, our group has decided to target the source of the problem with our idea. Studies have shown that the current methods of implicit bias training are both short-term and ineffective due to them usually being taught in a classroom setting. In addition, police officer training mainly focuses on physical training, which inevitably results in them resorting to acting on their long-term biases with muscle memory once in the field.
What it does
POBS simulates an officer's encounter by allowing them to use the AR application function to see a geographically simulated scenario in real life and real time. After reading a scenario they are forced to use their own initial instincts to respond to the situation. After they have made their decision, they will be shown the impact their action and decision had on the parties involved.
How we built it
For our project, we mainly focused on creating a prototype through Figma. We created a base AR app and accessed the 3D object models we had on our echoAR via JavaScript fetch request, which include people and different weapons that a police officer would normally have on hand in the hopes that we would be able to display these when a police makes the appropriate action. In the end, we were able to put in a link to the AR simulator containing the object on the page following the sign in, which would have been one of the choices in a given scenario. Unfortunately, due to time constraints, we were only able to make a request to the echoAR API but were unable to implement the functionality to our base app.
Challenges we ran into
Some challenges we encountered while making POBS was deciding whether to create a VR or AR application. Our experience was limited in the VR realm and we struggled creating a simulation within Unity. Due to time, we were forced to regroup and switch to the AR route allowing us to utilize our already developed skills and were able to successfully create a working prototype. In addition, we were unable to implement EchoAR into our apps prototype due to errors integrating the code with our Figma prototype.
Accomplishments that we're proud of
Our team is proud of going outside our comfort zone and attempting to use EchoAR as we had no prior experience to it before doing the Hackthon. We are also proud of creating a working prototype in order to convey our idea.
What we learned
Our team learned the essential skills of how to implement and use EchoAR. We also learned some of the basic functionalities of Unity.
What's next for POBS
In order to create a more efficient implicit bias based training simulation for police officers, we hope to make POBS into an actual Virtual Reality application that fully immerses officers in the scenario. This would allow officers to have more freedom in the actions they take by actually having the ability to interact with the simulation. This will allow the effects of their actions to have a greater impact on them as well.
Built With
echoar
figma
Try it out
www.figma.com
github.com
github.com
pedantic-curie-383cd8.netlify.app
go.echoar.xyz
go.echoar.xyz | POBS | POBS is a Police Officer Bias Simulator that uses augmented reality to incorporate new implicit bias training tactics in Police Departments across the nation. | ['Peyton M. Moenoa', 'Audrey Kho', 'Jarrel Thomas', 'Garsin Zhan'] | ['Chef Project Award'] | ['echoar', 'figma'] | 4 |
10,512 | https://devpost.com/software/kiwilink | KiwiLink's Banner
KiwiLink's Interface 1
KiwiLink's Interface 2
KiwiLink's Interface 3
Inspiration
I’ve always felt very personal about the issue of anti-social-academia. During my freshman year at UW, I noticed that I was pretty bad at connecting with new study buddies in my classes. Looking around the lecture halls, I’d see hundreds of other students rushing to and from class, just minding their own business in a hyper-stressed, hyper-awkward setting. Recently, this problem of anti-social-academia is exponentially more relevant, as we see that students are isolated from one another due to the threat of COVID19. Because of all these negative findings, we felt inspired to create a study buddy finder app/site to help UW students combat academic-isolation. Flashforward to today: we present our solution called KiwiLink - the ultimate UW study buddy finder tool.
What it does
KiwiLink is the ultimate UW study buddy finder site. KiwiLink is specific and it’s focused; all KiwiLink users are identified by their classes and majors and by a short bio. The best part about KiwiLink is that it uses an algorithm to match users with other users in a relevant way with the For You Page. Users can quickly find other people that have a matching class or major, since the For You Page automatically handles class and major filtering. We also have the Explore page, which lets users experience a more free type of unfiltered social setting. In the Explore page, users get to befriend people of all sorts of academic backgrounds and interests. In both pages, users are able to request to add other users as friends. After users have friended each other, these friends are able to message each other about UW or about specific coursework or whatever, and they can also create group-chats in order to unite a study group for a specific class.
How we built it
We first started by designing our webpage project prototype through
Figma
. For the software development part, we built our frontend structure using ReactJS, and we tackled the backend by using Firebase to communicate with a database. We spent approximately 16 straight hours developing javascript and CSS code in a collaborative fashion using VSCode’s LiveShare plugin.
Challenges we ran into
We realized that we had to “untrack” a file using git because I realized that we had exposed our firebase API key to the public (due to publicizing our repo). As a result, we aren’t able to publicize a file called “fire.js,” which includes MUCH of our backend code.
We had to make multiple repositories because of inexplicable complications
Figma kept causing Victor’s MacBook to crash
Sleep deprivation
Accomplishments that we're proud of
Elegant figma model
Great progress despite feeling very stressed from limited time
Had good time brushing up on React despite feeling rusty
Able to stay up all night
Communicated well with teammates
What we learned
A lot about ReactJS syntax
A lot about Firebase systems
GitHub security
API Publicity vulnerabilities
How to work under pressure
Skills on using real-time collaboration tools such as LiveShare
What's next for KiwiLink
We are very interested in continuing to support the lifecycle of KiwiLink by seeking funding and VC support
Continue to work on a related app (different from KiwiLink website, but fundamentally similar)
Continue to target UW students as the main target audience for this service
Continue to try to improve academic sociability and wellness at UW
Built With
css
figma
firebase
google-cloud
javascript
react
Try it out
github.com
www.figma.com
stinder-3b3b6.web.app | KiwiLink | Tired of anti-social-academics? KiwiLink is the ultimate UW study buddy finder site! Friend your way to the top! | ['WinstonChenn Chen', 'Victor Kuan', 'JunS1'] | ['Google Cloud COVID-19 Hackathon Fund', 'First Timer Special Recognition'] | ['css', 'figma', 'firebase', 'google-cloud', 'javascript', 'react'] | 5 |
10,512 | https://devpost.com/software/culture-fit-m4kscw | entity relationship diagram for postgreSQL database
Inspiration
Companies often talk about if a candidate is a good culture fit, but what does that really mean? What is the culture like at a company for underrepresented people? Does the lived experience as an underrepresented person match what's on the company brochure? How can an underrepresented person find out about the true culture at a company? The answer is culture fit.
Design inspiration:
https://www.figma.com/file/qdI5UtToOl5Xncdef9J0HP/Hack-'20-Culture-Fit?node-id=7%3A153
What it does
culture fit empowers underrepresented people to anonymously share their lived experience at a company.
In the user research of 45 survey respondents, we asked questions that explores the user needs for this platform:
https://forms.gle/zZzNJxMbpCq9AX7a7
. 97.8% of the respondents rated the importance of knowing a company’s culture to them a 4 or 5 (in a scale of 1-5, 5 being very important). However 89% of them rated the difficulty in find out about a company's culture a 3 or above (in a scale of 1-5, 5 being very difficult). We found out people are afraid to talk about their experience publicly in fear of repercussions, many who wanted to share or find experiences but found no trustworthy source, which highlights the need for culture fit and the importance of anonymity on our platform.
We give underrepresented people a platform to share their lived experience so they can freely speak their truth. culture fit allows underrepresented people to learn about the culture of a company from the perspective of other underrepresented people.
How I built it
For this hackathon we wanted to focus on the backend functionality of the app so we decided to show the frontend functionality through Figma. On the backend we used Python and Flask to write the app, Google App Engine to deploy the app to Google Cloud, and Google Cloud SQL to create and update our PostgreSQL database.
Challenges I ran into
Jasmine never used Flask, Google Cloud SQL, json, and Google App Engine before so she struggled with setting up the environment and quickly learning how to implement these technologies into the project.
Accomplishments that I'm proud of
Angela and Chelsea are proud of keeping the design flow consistent throughout the prototyping process.
Jasmine is proud of building an API that can create and view data from a database and having it all deployed in the cloud!
What I learned
Grishma and Rayan learned about how model a database and creating an Entity Relationship Diagram (ERD).
What's next for culture fit
Further research on how to talk about underrepresented groups in an inclusive way. Building out the front end for full functionality.
Built With
flask
google-app-engine
google-cloud-sql
json
postgresql
python
Try it out
github.com
www.figma.com | culture fit | Empowering underrepresented people to share their lived experiences at companies | ['Jasmine Florencio', 'Rayan Alim', 'Chelsea Bishop', 'Grishma Shindhe', 'Ziyue Qian'] | ['First Timer Special Recognition'] | ['flask', 'google-app-engine', 'google-cloud-sql', 'json', 'postgresql', 'python'] | 6 |
10,512 | https://devpost.com/software/jgjhgjhgjhgjhgjhgjgjgjg | Home Page
Welcome Page
Augmented Reality Home Page
Get Involved
Inspiration
This project was inspired by the month long
Art as Protest
installation put on by the University of Washington Black Lives Matter Chapter and Black Student Union to take down UW's central George Washington Statue, in addition to meeting their seven demands on
their petition
.
Public monuments dedicated to prominent slave-owners encourage us to remain accepting and largely ignorant of the morally-corrupt history of the U.S., and in many ways attempt to deny the progress made by social justice activists. A need to critically re-evaluate and re-shape our idea of which historical figures should be publicly celebrated via monuments has been present for decades, but is especially in the minds of people today.
What it does
Our mobile app allows users to see all monuments and historical sites near them- when they are close to a particular site they can interact with it in Augmented Reality (AR), viewing BIPOC-sourced information on it's history, local discussions, and opportunities to get involved in petitions or other forms of historical site activism. We chose AR because we felt it would prompt meaningful interaction with these sites, re-contextualizing online discussions and information as being physically part of the world around us.
How we built it
We chose Flutter as our mobile development platform for its usage of Dart, which is much closer in syntax to our teams' familiarity with Java, as well as its ability to easily port our code to multiple platforms. Our team utilized Google Maps and it's APIs to search for and display monuments within the "map view" of our app, as well as offer directions to specific sites. ARCore powers the AR aspects of our app, rendering important information as needed. Firebase is used to store all of the curated information on display, as well as account information if a user wants to make one in order to contribute to discussions.
Challenges we ran into
Our team had very limited familiarity with mobile development coming into this project- those who did had only some introductory knowledge and had never worked with Flutter before. None of us had previously used the tools/libraries we chose for this project, and led to much of our work consisting of reading, understanding, and piecing together documentation to create our app. One challenge we faced was with the Google Places API. Our issue was that we wanted to retrieve search results that were of type historical site, monument, and statue, but the places API unfortunately didn't give that information with a type parameter and we had to use keywords instead and filter our results from the JSON. Also, it was pretty difficult to adapt to Flutter's application state in relation to our build methods because normally we think of changing the UI itself, but you actually change the state and the UI continuously rebuilds itself which was pretty confusing at first. Lastly, since Flutter is a relatively new framework and Dart is also pretty new, there wasn't as much ease of access to resources as we may have had for other languages/frameworks.
Accomplishments that we're proud of
Despite our unfamiliarity with this space, our team is proud to present what we've created. We were able to leverage each other's skills and hard work to create a fully-functioning application that renders AR elements, interacts with Google Maps, and retrieves information from our own database in real time.
What we learned
We learned a great deal about creating mobile applications, and how to use external libraries to create elements and functionality within our app. Much of early discussion revolved around avoiding common pitfalls of taking on the role of curators of information, and led to our emphasis on information transparency as well as inclusion of easy avenues for others to point out our mistakes.
What's next for Monumental Change
Expanding beyond the Greater Seattle Area, tackling the world, working with and championing BIPOC scholars
Resources + Research
We really enjoyed reading articles and citing perspectives from these pieces!
Example Monuments
https://seattlespectator.com/2020/01/23/confederate-monuments-in-seattle-hidden-in-plain-sight/
Discussion Board Quotes
http://www.dailyuw.com/arts_and_leisure/article_fbefd4c6-c5a8-11ea-830a-03395e0a2b2d.html
Background on George Washington Statue
https://www.thestranger.com/slog/2020/08/14/44267722/uw-protesters-embark-on-month-long-art-installation-at-george-washington-statue
Built With
arcore
dart
firebase
flutter
google-maps
Try it out
www.figma.com
github.com | Monumental Change | An Educational Augmented Reality Application to Highlight the Hidden History of Historical Monuments | ['Patrick Render', 'Sara Behbakht', 'Tanner Poling', 'Zack Lynch', 'Matthew McVicker'] | ['First Timer Special Recognition'] | ['arcore', 'dart', 'firebase', 'flutter', 'google-maps'] | 7 |
10,512 | https://devpost.com/software/bonuspool | domain.com entry
Inspiration
Helpr - we wanted to make a platform that can use the power of crowdsourcing to help everyone.
Inspired by the keynote comments, we wanted this to be a "moonshot" goal: get everyone to help people out, even if they dont know them,
What it does
.Like Waze, but for helping people
Helpr has various features designed to identify and help people.
Maps and location based help: similar to waze, users can put down pins where they see some help is needed or action is required or something needs to be noticed. This could be anything from a Police incident, to a sign which may be discriminatory or even something like an open or cracked manhole cover. Then, this data is displayed on a map and people can take notice or take action (similar to waze)
requests for help: this is like a message board, but for requests which may be fulfilled by people who can verify these requests and then allow other to contribute or help the requestor. These can be anything from food, meals, help with homework or even just a tip on how to do well in a certain class
message in a bottle - a feature where someone with issues troubling them can post an anonymous message, and others can post replies as comments. the comments cannot be seen by anyone until they are approved by a moderator, and once approved the user has the option to only see the comments for themselves or make them public. we made the moderation feature to ensure hurtful and trolling comments were filtered and allowed anonymity and confidentiality of messages and comments to be left up to the original message author. This approach would help us to act as a moderated advice forum while maintaining privacy of users
How I built it
design: figma, Adobe Illustrator
front end: React native
backend: python serverless functions on azure
database: mongodb hosted on azure
Challenges I ran into
ran out of time for a few things.
Accomplishments that I'm proud of
system and app are functional.
Domain.com entry
helpthis.space
What I learned
Azure backends with serverless functions work best when deployed with vscode
.
What's next for Helpr
getting on the app stores and making a difference
Built With
azure
python
react-native
Try it out
github.com | Helpr | its like waze but for helping people. plus more features | ['Nand Vinchhi', 'Veer Gadodia', 'Ebtesam Haque', 'Muntaser Syed'] | ['Best Use of Azure for Social Good'] | ['azure', 'python', 'react-native'] | 8 |
10,512 | https://devpost.com/software/miranda | Introduction.
Google + Twilio APIs.
Our Motivation.
Special Features. Auto Vehicle Plate Detection System.
Statistics.
Inspiration
Our app📱 “Miranda” at Hack’s 20—was inspired by recent global law enforcement encounters, we wanted to build a seamless app that can help de-escalate an aggravating situation in case of getting pulled over. There are obvious psychological impacts, of driving among police cars— how do we remain calm while being fully discreet and cooperative? How do we rebuild trust in certain communities, where racial profiling has become a norm?
What our app does
This is an app that documents and analyses police encounters using
Machine Learning
to help mitigate negative interactions with the police. Additionally, 'Miranda' promotes community policing by alerting nearby users and family.
User Story
User: Innocent citizen being pulled over by the police
When I see the flashing red and blue police lights in my rear-view mirror, I ask my phone “Hey Siri, I’m being pulled over.” The App “The one stop for police stops” opens up and automatically starts recording audio and video of this scene, streaming it to the cloud for secure storage. While the phone is recording the scene, my Constitutional and Miranda Rights are presented clearly on the app’s screen.
I can tap a button (or the screen) to send a notification to my family and local concerned citizens that I’m being pulled over and may need help interacting with the police (e.g. recording the incident themselves).
My incident report (including a transcript, the officer’s name, and the officer’s license plate) is published securely. Optionally, this incident can be posted on Twitter (with location + hashtags) to solicit help from other folks in the community, especially when there’s racist or aggressive language involved.
How We built it
Using
Google’s Speech Synchronous Recognition API
, audio files longer than 80 minutes can be transcribed successfully.
It can also be translated to different languages to fight police brutality in other countries (HK, a notable one).
The
NLP model
analyses the sentiments, comes up with a list of words with saliences attached. Judging from the relevance/how negative or positive it is, a loved one is able to encapsulate the situation quicker.
Auto generates
PDF
. An actual log that went down during the whole interaction.
With
Google’s Cloud Vision API
, our dash cam was able to screen capture the vehicle’s license plate. Printing each digit carefully into the full report, as a copy for the victim’s attorney/representative.
Within Miranda, the app provides a comprehensive
list of commandments
the user is entitled to. IF the situation is aggravated, user can conveniently refer to it.
As a form of protection, the app is designed to be completely black on the exterior. In case of confiscation, the user’s data will be saved and a full report will be ready for review.
Our
speech recognition
can also detect screams/words highly categorized as “danger”, and using
Twilio API
, the user is able to send texts to friends and family if the user is in a dangerous situation
Challenges We ran into
Connect some of the endpoints together.
Figuring out which APIs to use from Google Cloud
Working remotely
Accomplishments that We're proud of
We were able to integrate a lot of functionality in a short amount of time.
What's next for MIRANDA
We plan on expanding and developing some of the functionalities of the app. For instance, we would like to integrate
AR/VR
in order to simulate a similar environment where you are pulled over by a cop and familiarize yourself with the actions you can take using this app. We also plan to use
Twitter API
to alert our community to flock to the location if the interaction is indicative of police brutality.
Built With
adobe-xd
android
google-cloud
google-cloud-natural-language-processing
google-cloud-speech-to-text
google-cloud-vision
google-cloud-vision-api
mobile-application
python
twilio
twilio-messaging-api
Try it out
github.com | MIRANDA | Your one stop for police stops. An app to counter police brutality. | ['Chelsea Ip', 'Pramod Kotipalli', 'Mythili Karra', 'Rahul Pulidindi'] | ['Best Use of Google Cloud', 'Active Tooling Category Prize'] | ['adobe-xd', 'android', 'google-cloud', 'google-cloud-natural-language-processing', 'google-cloud-speech-to-text', 'google-cloud-vision', 'google-cloud-vision-api', 'mobile-application', 'python', 'twilio', 'twilio-messaging-api'] | 9 |
10,512 | https://devpost.com/software/businessfinder | Description:
We wanted to create an app that can be used to search for businesses that have recently re-opened with new safety measures in place for patrons. Rather than having to search for a business, you have in mind, and then check if they are even open, and then try and find out if they have any new safety measures (like outdoor seating or a smaller maximum occupancy) you can instead just use our Safe Business Finder to search for a business that would already be assured to be practicing those. Right now our app lists a set of businesses we have added to the database ourselves, but in the future, any business would be able to create an account and add themself to the database, where it is a requirement to state what new safe practices you are implementing. Right now you can use filters to narrow down the type of activity you are searching (either a restaurant, a recreational activity, or a goods store) and the radius of that activity to your current location (using Google Maps API). You can also search for keywords using a search bar.
How It's Made:
This app was built using a Django Framework that was then deployed using Google App Engine. The webpages use Bootstrap HTML/CSS to make it look professional. The database was generated using Django models running on a Google Cloud MySQL server. The backend is built using Python and JavaScript. The Google Maps API is used to display a map of your current location and the businesses around you.
Challenges:
The biggest challenge for our team was implementing the Google Maps API (as a fairly last-minute enhancement) and calculating distances between the user and the listed businesses
Team Mates
Stelios Papoutsakis - Senior Electrical Engineering Major and Computer Science Minor at University of Portland
Jason Twigg - Senior Electrical Engineering and Computer Science Double Major at University of Portland
Spencer Rose - Senior Electrical Engineering Major and Computer Science Minor at University of Portland
SafeBusinessFinder
Hack'20
Built With
django
google-cloud
google-maps
html
javascript
python
Try it out
github.com
businessfinder-286522.wl.r.appspot.com | Safe Business Finder | Looking for re-opened businesses with new safe operation criteria? Use Safe Business Finder! | ['Stelios Papoutsakis', 'Spencer Rose', 'Jason Twigg'] | ['Google Cloud COVID-19 Hackathon Fund'] | ['django', 'google-cloud', 'google-maps', 'html', 'javascript', 'python'] | 10 |
10,512 | https://devpost.com/software/zoom-analyser | Web App Before User Submits
Web App When User Hits Submit
Email User Receives With The Zoom Statistics
Computer Vision Algorithms Detecting Who Is Looking at Screen
Percentage of the Class Actively Looking at the Screen Over Time
Most Common Sentiments in the Zoom Audio Recording
Number of Questions Asked in the Zoom Chat Over Time
Number of Questions Asked in the Zoom Audio Transcript Over Time
Inspiration
As college undergraduates who are used to going to live lectures and discussion sections, the transition to online learning was very difficult. Attending Zoom lectures and discussions does not provide the same incentive to actively listen and pay attention. As a result, we often have to rewatch entire lectures because we did not pay attention during the live lecture.
We also understand the plight of instructors, as some of the members of the team are TAs for classes. While leading discussion sections, we have realized that students do not pay as much attention, and answer questions less frequently.
We want to address these issues by creating a tool to give Professors and TAs automated feedback for their recorded Zoom meetings. A tool like this can also provide extra motivation for students to pay attention, since their instructors can see how engaged they are.
What it does
We implemented our solution as a Web-application. This application takes in the Zoom Video recording, Zoom chat transcript, and Zoom audio transcript, which can be generated from a recorded meeting. We use computer vision to analyze how often the students are looking at the computer screen and paying attention. We also use Natural Language Processing (NLP) to provide sentiment analysis and topic clustering for the questions posed in the audio transcript and chat box. We then email these charts and statistics to an email address passed in to the Web-application.
How we built it
Client Side:
We built the frontend for our Web App using HTML and CSS. We had input fields to allow the user to provide their email and upload a Zoom video recording, audio transcript, and chat transcript, which can be easily downloaded after a recorded meeting ends.
Server Side:
When the user presses “Send” on the Client Side, the files are uploaded to Google Cloud Storage. These files are then passed into a Cloud Function written in Python.
Our Python scripts were designed to perform various analysis. First, Python programs were written to parse the input transcripts into readable formats. There is a program to perform topic modeling and clustering on both the audio and chat transcripts using Latent Dirichlet Allocation (LDA) using the sklearn library. We read through all the text in the audio and chat transcripts and used Nltk’s Multinomial Naive Bayes library to classify whether a statement was a question or not. We also conducted sentiment analysis on the entire transcripts using the IBM Watson Speech API. Finally we performed face detection analysis on the video recording using OpenCV and a Siamese Neural Network to see if each face was facing the screen. We used Keras and TensorFlow to estimate the attentiveness of an individual by their facial movements and used it to take attendance from school id pictures.
With this data we generated graphs of the percentage of the class looking at their computer screen over time, the number of questions asked in the chat and verbally over time, and the most common emotions from the audio recording. We reported the topic clusters as .txt files.
Finally, we used the email library in Python to generate an email from our email address “
online.class.analyser@gmail.com
” to the specified recipient. This email contains the previously mentioned graphs and data as attachments.
Challenges we ran into
We were able to write the Python backend and run it locally fairly quickly. The largest challenges for us had to do with implementing the code as cloud functions on GCP. We initially had permission issues with GCP. We also ran into troubles reading stored files in subdirectories on GCP. Our codebase was also initially too large to be hosted on GCP, and we had to remove large video files. These issues with GCP were especially challenging for us to overcome because this was the first time using GCP for a lot of the team members.
Accomplishments that we're proud of
Despite these challenges, we were able to successfully build our Web App and host it on GCP! We are proud of the various technologies we used, and how we seamlessly integrated them to provide a helpful tool. Prior to this Hackathon we did not have any experience with NLP, but were able to learn it and integrate it with OpenCV and GCP to build a cohesive application.
We are most proud of the fact that we were able to create something that helps Professors, TAs, and students adapt to the challenges posed by the COVID-19 Pandemic.
What we learned
We learned how to brainstorm ideas effectively in a team, implement our idea collaboratively, and parallelize tasks for maximum efficiency. We learned about NLP techniques which we implemented into our design and solution process, carefully selecting analysis methods to evaluate candidate options before proceeding on a rigorously defined footing. We also learned how to deploy Python scripts to Google Cloud Functions and how to call those functions from a Node.js server.
What's next for Edify
We decided to develop our solution exclusively for Zoom because it is the primary mode of delivering lectures and discussion sections in academia. We want to expand our solution to different platforms like Microsoft Teams and Skype so that it can be used in a corporate setting as well. We also want to incorporate our application with school databases so that we can use real student ID's in our Computer Vision modeling. We would also like to gather and display analytics in real time so that a presenter can adapt their strategies to suit the audience at any particular moment.
Zoom learning is not perfect, and will never replace in person classes for many people, but we hope that our tool can help countless Professors, TAs, and students.
Built With
google-cloud
ibm-watson
node.js
python
Try it out
github.com
edify2020.herokuapp.com | Edify | Edify allows Professors and TAs to gather insights about class engagement and questions from a recorded Zoom meeting. | ['Ranveer Thind', 'Devesh Sarda', 'Pranav Sukumar', 'Rishi Kavikondala'] | ['Google Cloud COVID-19 Hackathon Fund'] | ['google-cloud', 'ibm-watson', 'node.js', 'python'] | 11 |
10,512 | https://devpost.com/software/mask-detector-kq7ox5 | Inspiration
We were inspired to create this because wearing masks is paramount to slowing the spread of COVID-19. Being able to detect whether a person in an image is wearing a mask or not has a variety of applications, including surveillance for businesses to allow or not allow customers into a space, or sampling a public space to compute statistics about mask-wearing at a given time.
What it does
The web app allows users to upload a picture and detects which people in the picture are wearing masks and which people are not.
How we built it
We used the Google Cloud AutoML Vision API to train an ML model to recognize faces with masks on them and faces without masks. We started on an artificial dataset of pictures of people with and without masks, training a simple single-label classification model to determine if a person was wearing their mask in a headshot. Later, we trained an object recognition model to tag faces with and without masks using some hand-labeled public images. We then created the web application using React and integrated our model using Tensorflow.js.
Challenges we ran into
As this was the first hackathon for the whole team, we ran into quite a few roadblocks. Some hackathon-essential languages and frameworks came into play that we’ve never worked with at length before, like React. We ended up with a trained model and a website, but we struggled to get the image submission to play well with our API call, which ultimately led us to fail to deliver a working product.
Accomplishments that we are proud of
Although we had some knowledge gaps that definitely slowed us down, the team was diligent in trying to catch up to speed and learning together to build and debug this project.
What we learned
We learned how to use the Google Cloud Platform to train a machine learning model, as well as the basics of front and back-end development!
What's next for Mask Detector
Mask Detector could be improved in a variety of ways, including:
UI improvements. Our inexperience with frontend development was a challenge we had to overcome. Naturally, a simple improvement to our project would be to improve the user’s interaction with our software by adding functionalities and utilizing more modern, minimalist UI/UX Design principles.
Improving training data. All ML models have bias, and ours is no exception. We could improve Mask Detector by not only expanding the size of our training set, but including a wider variety of training images (surveillance footage, close-up and far away shots, low angle, high angle, side angle, etc.). In this regard, a number of ethical concerns also become apparent - are we aware of the racial biases that our model has developed? How equitable is it?
Mask Detector also has various potential applications into the real world:
Community integration. Our ML models could be implemented into home, school, or business surveillance systems, to improve security and help keep public spaces safe.
Data collection and statistical analysis.
Snapshots from traffic cameras or surveillance systems can act as random samples of populations in various times and locations. Such snapshots can be used to deduce crucial statistics about the Coronavirus’ spread and the effectiveness of current safety measures. Having a reliable face mask recognition system could expedite and expand data collection and pave the way for deeper and more insightful statistical analyses.
Facial recognition. A potential extension of our project could be into the field of facial recognition. In an effort to normalize mask wearing in our current society, could we improve facial recognition systems to recognize individuals even when they wear face coverings? Such a model could have deep implications into other fields such as the justice system where criminals often wear masks to conceal their identities. Perhaps the recent interest in face mask recognition is a step in that direction.
Built With
automl
google-cloud
react
tensorflow
Try it out
albertklam.com
github.com | Mask Detector | A mask detection web application that recognizes and tags mask wearers and non-wearers | ['Junxi Liao', 'Jacob Zhang', 'Ian Mahoney', 'Albert Lam', 'Tyler Nguyen'] | ['Google Cloud COVID-19 Hackathon Fund'] | ['automl', 'google-cloud', 'react', 'tensorflow'] | 12 |
10,512 | https://devpost.com/software/safe-eats-ubl521 | Inspiration
We believe that it is possible to both practice safe traveling habits and still being able to enjoy the food you love.
Socially distance yourself and refraining from traveling to highly-concentrated COVID-19 hotspot areas will help us battle with the pandemic, protect your loved ones, and work towards building a safer and stronger community for all.
What it does
Safe Eats is a website where you can enter an area's location to show restaurants that are open there. It also shows you COVID-19 statistics of where that restaurant is so you can choose to avoid eating out at areas that are COVID-19 hotspots.
How we built it
PREPARE BACKEND: Setting up localhost server using JavaScript, CSS, HTML, and json
FETCH API: Using Google Cloud Platform API to filter and display restaurant locations
USER INTERFACE: Setting up a WordPress website as a front-end component using HTML and CSS
INTEGRATE: Taking data from user input to perform queries on Google Charts database
DISPLAY RESULTS: Display results to users with Google Maps embedded graphics and COVID-19 data
Challenges we ran into
Getting API Integration right & trouble hosting the website on Google App Engine
Accomplishments that we're proud of
Deploying Google Maps integration on localhost
What we learned
How to integrate Google Maps' API
Host our website on Google App Engine
What's next for Safe Eats
Deploy a mobile app version
Automatically detects user location
Create a database of users with their contribution stats
Display suggestions based on user’s past travel destinations
Built With
css
git
github
html5
javascript
Try it out
safeeats517614157.wordpress.com
github.com | Safe Eats | Safe Food & Eat Good! Support local restaurants while staying healthy. | ['Aviral Gupta', 'Zage Phillips', 'gavinwright-engr', 'Emily Chang', 'Jessica Nguyen'] | ['Google Cloud COVID-19 Hackathon Fund'] | ['css', 'git', 'github', 'html5', 'javascript'] | 13 |
10,512 | https://devpost.com/software/pladis | Logo
PlaDIS (Plant Disease Identification System)
We made this project for the Quarantine track because it will help people who have taken up gardening as a hobby during the lockdown. We used a dataset from Kaggle containing about 41,000 images of different plants' leaves with different diseases. After curating the dataset, we uploaded it to Google Firebase AutoML Vision Edge to train for 10 predicted compute hours, which ended up finishing in about 4 hours. We built an accompanying Android application that allows users to take pictures of their plants' leaves and remotely accesses the model on Firebase to classify potential diseases the leaves might have.
We were both quite new to Android development, so we had the opportunity to learn how to use the Android's libraries for the camera and how to integrate the application with Google Cloud Platform and Firebase. We also learned how to be efficient with our time. While the model was training, we managed to build the entire camera functionality for the application.
We had a lot of bugs with the camera functionality, especially because the documentation is not particularly readable or accessible for the Camera2 library in Android. The examples were also far and few in between, so we had to perform a lot of experimentation to get it to work.
We also believe that our model may be slightly overtrained as we noticed that the test and validation precision values were rather high (very close to 100%). We did not have the opportunity to re-train the model as it would take too long and we were dealing with other bugs related to the Android application. If we had more time, we would go back and re-train the model so that it isn't overtrained and biased towards the training data.
Built With
automl-vision-edge
firebase
google-cloud
gradle
java
json
xml
Try it out
github.com | PlaDIS | Plants need doctors too! | ['Kevin Zhu', 'Abhishek Babu'] | ['Barn2Door Project Award'] | ['automl-vision-edge', 'firebase', 'google-cloud', 'gradle', 'java', 'json', 'xml'] | 14 |
10,512 | https://devpost.com/software/drfit-q1vith | Flowchart
Inspiration
A potential challenge during the pandemic outbreak like COVID19 is overwhelming hospitals. Due to the increase in the number of COVID patients, doctors are giving less attention to a non-COVID patient. Right now, hospitals don't have the capacity for the large number of incoming patients. There is a need for a technology platform which is capable of remote-monitoring and allowing for the engagement of patients in their homes. The capabilities also facilitate communication between quarantined people and the healthcare service and maintain visibility of those recently discharged. This problem is what inspired us to make this user-friendly interface.
What it does
The DrFit platform offers an ideal way to monitor patients while they are in quarantine. The device hub include those that measure vital body temperature, heart rate, blood pressure, SPO2 level in the blood. The information of the vital signs will be updated via web to the doctors.
How we built it
We used the Google Cloud Platform along with Firebase for this project.
Firebase
User Authentication
Realtime Database
Store Vital Data and User Information
Store Information if the user is a Doctor
Cloud Functions
Other GCP
Google Maps API
Bootstrap HTML/CSS/JS
Bootstrap Framework
Use of JQuery
Use of SmartForm for Contact
Frontend Framework
GitHub
File Management
Hosting
Node Js
Firebase Modules
Alan - A Smart Assistant that we have built for users to ask simple questions. See the video demo for more.
Challenges we ran into
There were many challenges we ran into, but that's what programming's all about. One of the difficult challenges we ran into was making sure the UI worked. Another challenge was figuring out how to to extract information from the JSON file to the website.
Accomplishments that we're proud of
We are proud of so many things. We made use of this project to the best of our abilities in this 24 Hours of time. We got to use the Google Cloud Platform, which is a first for all of us, we had never used GCP before and now we will continue to use this platform. Additionally, we combined all of our skills to create a website that use multiple frameworks and we are proud of this website. We love the UI/UX and we love the Backend, it was our first time as well using these frameworks. Finally, we are proud of the amount of work we pulled of in 24 hours. We would have never thought we could accmplish this much in such a small amount of time.
What we learned
Creating realtime databases
Firebase
User Authentication
What's next for DrFit
Implement Google Assistant instead of Alan (Wider range of possibilites)
Create a Watch Application (Apple watch and Galaxy Watch) to have realtime data about Vitals
Implement more Google Cloud Features including Tensorflow AI for medical classification and image classificatin to find various conditions
Implement a TeleHealth API platform for virtual doctor visits
Implement Echo AR for human body modeling
Implement a Covid-19 screener questionaire for the workplace and schools
Built With
alan
bootstrap
css
firebase
github
google-cloud
google-maps
html
javascript
Try it out
github.com
projects.invisionapp.com
Srikark-17.github.io | DRFIT | Empowering the unempowered (non-COVID population) | ['Srikar Kusumanchi', 'Mohinish Teja', 'RHEA S'] | [] | ['alan', 'bootstrap', 'css', 'firebase', 'github', 'google-cloud', 'google-maps', 'html', 'javascript'] | 15 |
10,512 | https://devpost.com/software/physiotherapy-aid-tjiage | Inspiration
During Covid or in general working class specially IT professionals cant get time for exercise, sitting for long hours therefore they might get issues in body. So if we get them a virtual physiotherapist, so that sitting at home they can work out with proper guidance and do exercises will be beneficial.
What it does
Our application uses a tensorflow.js (browser-based) model to make predictions on the state of the current user's pose. It has been trained on a dataset of images created by us (~300 images per pose) to predict whether the position is correct, or incorrect - and what makes it so. I have used GCP Machine Learning Studio, a GCP Machine Learning tool, to train our models in the various physiotherapy poses. GCP Services Speech-to-Text API was also used to enable the application to be accessible by the visually impaired. The user can start their exercises via speech in various languages using GCPTranslator Speech API remotely and this is more convenient and easier to use for our target audience. The application utilizes GCP Services for text-to-speech. This is useful for the visually impaired as they can hear if they are in the right position as the application will tell them to adjust their posture if incorrect. We also use the webcam to track the user's movement which is fed as input to the posenet machine learning model and outputs posture image on the user's body.
How I built it
This is fully supported on Desktop/Android Google Chrome.
What's next for Physiotherapy Aid
Make it available for Gym enthusiasts
About the project :
AIDEN. Your physio assistant.
By Sanskar Jethi, Ankit Maity, Shivay Lamba
Access the live application at:
https://https://aidenassistant.azurewebsites.net/
View our presentation slides at:
https://docs.google.com/presentation/d/1wfyXXhWVZlDHjmuZIOpDDSzM61cEW7bwP6AOjpxJU_A/edit?usp=sharing
Our demo video:
https://youtu.be/9HOEje4E2i8
AIDEN is a web app utilising
tensorflow.js
, browser-based Machine Learning library, to enable accessible physiotherapy for the Visually Impaired and other people as well - talking through exercises by responding to users' postures in real-time.
AIDEN makes it easier for users to not only complete but to improve their techniques independently.
How to use AIDEN
Allow browser access to microphone and camera
Say “start exercises” or press “Start” or any particular language ( translation )
Try to do a “back bend stretch” approximately 8 foot away from the webcam with whole body in frame like in demo video. (only works in one orientation currently)
Technology
Machine Learning - tensorflow.js
AIDEN uses a
tensorflow.js
(browser-based) model to make predictions on the state of the current user's pose. It has been trained on a dataset of images created by us (~300 images per pose) to predict whether the position is correct, or incorrect - and what makes it so.
We have used Azure Machine Learning Studio, an Azure Machine Learning tool, to train our models in the various physiotherapy poses.
Azure Cognitive Services Speech-to-Text API was also used to enable the application to be accessible by the visually impaired. The user can start their exercises via speech in various languages using Azure Translator Speech API remotely and this is more convenient and easier to use for our target audience.
The application utilizes Azure Cognitive Services for text-to-speech. This is useful for the visually impaired as they can hear if they are in the right position as the application will tell them to adjust their posture if incorrect.
We also use the webcam to track the user's movement which is fed as input to the posenet machine learning model and outputs posture image on the user's body.
Key Azure Services that have been used in our product:
Azure Storage Services - storing machine learning model ( TF)
Azure Cognitive Services ( Inference )
Text-to-Speech
Speech-to-Text
Custom Vision ( to classify between correct and incorrect images)
Translator
Azure CDN ( three js and other libraries )
Azure Web App with Continuous Deployment
Linux Virtual Machine ( for hosting the website )
Azure CLI ( for deployment)
Azure Cloud Shell (for web app continuous deployment integration)
Azure Pipelines (Continuous deployment feature)
Visual Studio Code ( for all our life <3)
Supportability
This is fully supported on Desktop/Android Google Chrome.
Client Folder
The web application is located in the clients folder. The web application consists of two files: index.html and index.js.
Index.html
The index.html contains all the HTML that forms the backbone of the website.
We have used the bootstrap open-source CSS framework for our front-end development.
Index.js
index.js contains the Javascript code for the web application. This works with HTML to add functionality to the site.
Loads the model and metadata and handles image data.
Built With
gcp
javascript
machine-learning
tensorflow
Try it out
github.com | Physiotherapy Aid | Your physio assistant. | ['Sanskar Jethi', 'Shivay Lamba', 'QEDK .', 'Pulkit Midha', 'rahul garg'] | ['Matchathon & Incubation'] | ['gcp', 'javascript', 'machine-learning', 'tensorflow'] | 16 |
10,512 | https://devpost.com/software/covid-classroom-6v2spy | Index page
A teacher's page for uploading and creating classes
A student's class management page
The timer for how long the student has their reward
An empty classes page for a teacher
A testing session
The webserver responsible for relay control
Inspiration
Our inspiration came from not only our own experiences, but also our peers who have had a hard time readjusting to online learning. As stressful as it can be for us, it can be even more hard for younger children who don’t know how to deal with isolated learning. We wanted to find a way to take this unnecessary load off of their young minds and allow them to gain a rewarding experience while gaining more information.
What it does
COVID Classroom is a learning platform that scrapes quizlet sets and teaches kids in a way that they’re more comfortable with. It is essentially a simulated classroom that uses an award system where the user has to study x amount of sets before a smart device allows them to turn on their video games, social media, etc. It holds kids accountable for the work that they put in, which allows them to be more focused with what their learning while being able to do fun snippets of the other things they enjoy. It provides a balance for cohesive learning. In the site, teachers can manage the classes they own along with the students in them, students are notified when they get added to a class. When they enter that class experience, a flash card type test is given, with immediate feedback. Each time a student answers correctly, they are given 15 more minutes on their device. When they feel like it is time for them to redeem the time, they can click a button on the class page, bringing them to a timer page along with posting a get request to the smart device api. This turns on a relay that controls the student's device, and shuts off after the timer.
How We built it
For Covid Classroom, we wanted the architecture to represent a teacher:student hierarchy. In order to do this, we created extensions of the default IdentityUser class to create a teacher and student class. The web scraping algorithm implemented used headers and get requests to obtain and parse quizlet sets into flashCard data types, holding the definition and the term. classroom classes were bound to these flashCard sets, along with their teacher and the list of students in them. When a student enters the testing environment, they are given a flashcard along with 4 random options from other cards. This was done through a shuffling algorithm along with the implementation of a static random class. SignalR was used in the testing page in order to supply real time updates every time the user answers. Websockets and get posts were used to apply the student's saved minutes to the raspberry pi webserver, which used RaspberryPi.Net to control GPIO pins on a relay.
Challenges we ran into
We had challenges learning how to come together to do our tasks when we are so far apart. However, we made sure to communicate effectively on how we will carry out our tasks, which allowed us to get our finished product! Another huge issue we ran into on the development side was the abstraction of student and teacher user classes, initially we had attempted the solution that allows generic functions for either student or teacher, but due to time and energy needing to be spent in other areas, went with a solution of implementing both non-abstractly.
Accomplishments that we’re proud of
We are proud that we were able to work together in such a short amount of time and get so much done. We are really proud of how the testing page ended up, it seemed to be the right amount of comfort and engagement that we were really going for.
What we learned
We learned how how to work together cohesively while being so far away from each other, and we learned how to designate tasks that best fit each of our skill levels. One of the members of our team was inexperienced with coding. However we found ways that still allowed her to contribute to our final product.
What's next for COVID Classroom
Even after the pandemic subsides, this platform can continue to be used for younger students to learn. We will migrate to online databases and publish online so that real students can utilize us, along with some UI tweaks to make it more pleasing :)
Try it out
github.com | COVID Classroom | COVID Classroom- the virtual learning platform that helps young students to grow mentally and learn happier. | ['Braden Everson', 'Marie Germain'] | ['Best Website'] | [] | 17 |
10,512 | https://devpost.com/software/smart-class-n0e9mw | Landing
Features
Attendance Taker and Interaction interface
Bot Join the call
Note Taker
Attentiveness Tracker
Inspiration
Due to the worldwide pandemic education sector is most one of the most affected sector in this situation online learning is the only hope. In these days online learning has emerged as one of the leading ways to transmit education and the government is looking for ways to shift education to online platforms due to the pandemic situation.It becomes difficult for the administration like schools, colleges,etc to have an unbiased feedback of the students for the faculty.
What it does
Our solution ie SMART CLASS Application helps professors better interact with those in their class and track their students' comprehension of the material with numerous ways to collect more data about classroom engagement. i.e. Total number of hands raised on a particular question, class attendance scheduling at specific time, attention analyzer of the students, and feedback of the students by face recognition.
Our Solution SMART CLASS bot will join the online meeting on ZOOM and collect the information from the browser client in the background of the host's computer. And will analyze the behaviour of the students/members and with the power of Smart Class App, teachers can also write/ draw in air and will be shown on the screen and will be live on the other student’s screen.
How we built it
The data gathered using our python + selenium component is fed into our python + tkinter interface that is displayed on the host's computer, alongside their Zoom client.
We built a bot using python and selenium to join the call (headless-ly) and collect all the information from the browser client in the background of the host's computer.
Note taking feature using web-speech-api.
Used CanvasJS for graph attentive analysis.
Challenges we ran into
Zoom has no API for accessing a lot of the features we wanted to use, like the number of people raising their hands, the ability to send messages, the ability to get current users, etc.
2.While we had success with actually doing recognition of facial expressions, but making machine learning model that is accurate was tough task.
Accomplishments that we're proud of
Built a self-contained, fairly full-featured client to interface with the Zoom client headless-ly and providing some features which are not provided by Zoom.
What we learned
Throughout the hackathon we learn to deal with API and use them in proper way and using Machine learning being unfamiliar with it.
What's next for SMART CLASS
Feedback Expression Analyzer which uses face recognition and gives the automated feedback of the students.
Creating more accessible online classroom with its closed captioning service. This allows users with limited hearing to follow along more closely which improves usability
Built With
canvas
css
google-cloud
html
javascript
machine-learning
python
selenium
tkiner
Try it out
github.com | Smart Class | SMART CLASS Application helps professors better interact with students in their class and track their classroom engagement | ['Ashutosh Kumar verma', 'Atishay Srivastava', 'Yashashvi Singh Bhadauria', 'Arpit Agarwal'] | [] | ['canvas', 'css', 'google-cloud', 'html', 'javascript', 'machine-learning', 'python', 'selenium', 'tkiner'] | 18 |
10,512 | https://devpost.com/software/zoom-online-automater | . | . | . | ['Chinmay Kamerkar'] | ['Best use of Digital Ocean API'] | [] | 19 |
10,512 | https://devpost.com/software/prolink-1nvxp7 | What it does
ProLink
acts as a support system to protestors across the nation. When someone is arrested, their phone is confiscated by the police. This makes it challenging to secure sensitive information and update loved ones. When the
Emergency Mode
is activated,
ProLink
will send a message and your location to selected contacts, disable biometric unlocking features, and video record your surroundings to capture the situation you're in. In addition to the
Emergency Mode
, this app also provides tips for protesting, lists the rights of protestors, includes a chat function for local events, and indicates nearby police and medical supplies.
ProLink
acts as guide to protestors, a protector of data, and messenger to loved ones in a time of need.
Built With
figma
Try it out
www.figma.com | ProLink | ProLink works to protect and support those who are protesting for a better tomorrow | ['Myan Pham'] | [] | ['figma'] | 20 |
10,512 | https://devpost.com/software/uw-club-journey | The 2020-2021 school year will look different for everyone in college this year. Some will find themselves conducting classes and events in person, while others have gone completely virtual in favor of student safety. However, the majority of campuses have promised a hybrid version where classes necessary to have in person are done so. But where does this leave clubs? Looking at club turnout last spring, the arrival of COVID-19 significantly decreased the number of participants. This is where Club Journey comes in. Club Journey encourages students to visit multiple clubs' meetings to explore and expand their interests, while also benefitting club directors by giving them a universal platform to share information and updates about their virtual meetings. To motivate students to attend, we've designed a passport-like system where students can earn stamps as they participate in more club meetings and compete with friends.
Built With
css
r
Try it out
zivaxu.shinyapps.io
github.com | Club Journey | Club Journey encourages students to visit more virtual club meetings in the wake of a COVID-19 era through the ability to earn stamps, helping club directors gain higher turnout. | ['ctang0416 Tang', 'smckissick1 McKissick', 'Ziva Xu'] | [] | ['css', 'r'] | 21 |
10,512 | https://devpost.com/software/greenhouse-monitoring-system |
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if (msg.type === 'video') {
// force a resize of the carousel
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1/2 Scheme Connect NodeMCU & Sensor
2/2 Scheme Connect NodeMCU & Sensor
1/2 Application
2/2 Application
1-3 box
2-3 box
3-3 Soil Moisture Sensors
Inspiration
I was inspired to make this project because I would like to contribute a very useful project to the environment of all of us and my contribution to the planet that we occupy today namely our Earth.
Soil Moisture.
What it does
Description:
This project helps you to look at your greenhouse. It consists of sensors:
DHT11 (temperature and humidity),
MQ-135 (Air Quality),
Soil Moisture.
## How I built it
## Step 1: Scheme
DHT11 sensor data pin is connected to NodeMCU via D0 pin.
-Soil Moisture sensor data pin is connected to NodeMCU via D1 pin.
MQ-135 sensor data pin is connected to NodeMCU via A0 pin.
VCC pin on sensors is connect to VIN pin on NodeMCU and GND pin is connect to GND pin on NodeMCU.
Step 2: Arduino IDE libraries
The required libraries are:
FirebaseArduino.h
dhtnew.h
ESP8266WiFi.h
ArduinoJson.h
Step 3: Google Firebase
Google Firebase serves to store data collected on the NodeMCU. These datas can be further used on websites, mobile applications and anywhere they can access the Internet. Sign in using your Google Account and follow the steps below.
After login follow the next steps:
Click on "+ Add project"
Fill information and click "Create"
After loading, click "Develop" in left navigation bar. Then click "Database"
Click "Create database" then check "Start in test mode" and click "Enable"
Next to "Database" title in the drop-down menu, select "Realtime Database"
Click on "Roles" tab. In code delete "false" and add "true".
Back to "Data" tab. Copy link of your database and insert in Arduino code.
Click on icon gear (left navigation bar) choose "Projects settings" and click on "Service accounts" choose "Database secrets".
On right copy "Secret" code and insert in Arduino code.
Now, we've connected NodeMCU and Google Firebase.
Step 4: NodeMCU
NodeMCU is a board that has the ability to connect to the Internet. In addition, there are several digital pins and one analog pin. It is excellent for projects that need to connect to the Internet.
The code required to connect to the Internet and connect to Google Firebase is shown below:
include
include
include
include
define FIREBASE_HOST "firebase_link"
define FIREBASE_AUTH "firebase_secretcode"
define WIFI_SSID "wifi_name"
define WIFI_PASSWORD "wifi_password"
void setup() {
Serial.begin(9600);
WiFi.begin (WIFI_SSID, WIFI_PASSWORD);
while (WiFi.status() != WL_CONNECTED) {
delay(500);
Serial.print(".");
}
Serial.println ("");
Serial.println ("WiFi Connected!");
Serial.println(WiFi.localIP());
Firebase.begin(FIREBASE_HOST, FIREBASE_AUTH);
}
void loop() {
}
Step 5: DHT11 sensor
Connecting the dhtnew.h library and pin to which the data pin of the sensor is connected is done using the following command:
int dhtPin = 0;
DHTNEW dhtsensor(dhtPin);
Reading the temperature and humidity is done using this command:
dhtsensor.read();
float t = dhtsensor.temperature;
float h = dhtsensor.humidity;
Finally sending data to Google Firebase is done with using this command:
Firebase.setFloat("t", t);
Firebase.setFloat("h", h);
Step 6: Soil moisture sensor
The intialization of the pin for read value of soil moisture data is done with using this command:
int soilPin = 1;
Reading data and sending to Google Firebase is done with using this commands:
int soilData = digitalRead(soilPin);
Firebase.setInt("soilData", soilData);
Step 7: MQ-135 sensor
The intialization of the pin for read value of air quality data is done with using this command:
int airPin = A0;
Reading data and sending to Google Firebase is done with using this commands:
int airData = analogRead(airPin);
Firebase.setInt("airData", airData);
Step 8: Android application
The application was created in the android studio. The part that connects the app from Google Firebase from where the sensor data is taken from is shown below.
For Temperature, Humidity and Air Quality:
dref = FirebaseDatabase.getInstance().getReference();
dref.addValueEventListener(new ValueEventListener() {
@Override
public void onDataChange(@NonNull DataSnapshot dataSnapshot) {
temp = dataSnapshot.child("t").getValue().toString();
text_temperature.setText(temp + "°C");
}
@Override
public void onCancelled(@NonNull DatabaseError databaseError) {
}
});
dref = FirebaseDatabase.getInstance().getReference();
dref.addValueEventListener(new ValueEventListener() {
@Override
public void onDataChange(@NonNull DataSnapshot dataSnapshot) {
hum = dataSnapshot.child("h").getValue().toString();
text_humidity.setText(hum + "%");
}
@Override
public void onCancelled(@NonNull DatabaseError databaseError) {
}
});
dref = FirebaseDatabase.getInstance().getReference();
dref.addValueEventListener(new ValueEventListener() {
@Override
public void onDataChange(@NonNull DataSnapshot dataSnapshot) {
air = dataSnapshot.child("airData").getValue().toString();
text_airquality.setText(air);
}
@Override
public void onCancelled(@NonNull DatabaseError databaseError) {
}
});
For Soil Moisture(if-else is used to decides whether watering is necessary or not):
dref = FirebaseDatabase.getInstance().getReference();
dref.addValueEventListener(new ValueEventListener() {
@Override
public void onDataChange(@NonNull DataSnapshot dataSnapshot) {
soilmoisture = dataSnapshot.child("soilData").getValue().toString();
int soilData = Integer.parseInt(soilmoisture);
if (soilData == 0) {
text_soilmoisture.setText("No watering required.");
text_soilmoisture.setTextColor(col2);
}
else {
text_soilmoisture.setText("Watering required!");
text_soilmoisture.setTextColor(col1);
}
}
@Override
public void onCancelled(@NonNull DatabaseError databaseError) {
}
});
Part of the code for linking text that is written in activity_main.xml (displayed in the application) and Google Firebase is in attachments with name MainActivity.java. Also the xml file is in attachments.
My GreenHouse Monitoring System
Power for my system is power bank. Power bank + is connect to VIN on NodeMCU and - is connect to GND on NodeMCU.
Challenges I ran into
There is no difficulty for us if we are indeed serious and trying to create our own project.
Accomplishments that I'm proud of
I am proud of my success to be able to contribute to making this project for the environment and for this hackathon event.
What I learned
DHT11 (temperature and humidity),
MQ-135 (Air Quality),
Soil Moisture.
What's next for GreenHouse Monitoring System
I hope my work can win as the best Google Cloud usage and in the future I hope this project is useful so that I can provide new features in the results of this work in the future.
Built With
android-studio
arduino
c
c++
google-firebase
Try it out
github.com | GreenHouse Monitoring System | Android application monitoring system for GreenHouse, several sensors for reading data and send to application. | ['Nur Rimba Fadil Muhammad'] | [] | ['android-studio', 'arduino', 'c', 'c++', 'google-firebase'] | 22 |
10,512 | https://devpost.com/software/openbar-abjmq5 | Accomplishments that we're proud of
Learning how to build an online chat room leveraging firebase!
Learning how to build an algorithm that matches people with like-interests.
Built With
firebase
javascript
react
Try it out
github.com | OPENBAR | Need a place to vent out quarantine woes? We will match you with a person with similar feelings! | ['Louis Ta', 'Andy Phan', 'Yuzhe Guo'] | [] | ['firebase', 'javascript', 'react'] | 23 |
10,512 | https://devpost.com/software/tabby-the-tab-manager | Tabby
Inspiration:
With everything being online, the use of tabs for most students have increased exponentially. Having hundreds of tabs open has made managing our workflow more difficult, so we thought it would be really cool to make a tab manager to help with this problem! Our main goal was to create an easy way to navigate to see and navigate every tab quickly, without having to go through each tab or navigate between windows to look for the one we want.
What it does:
Tabby the Tab Manager has a popup window that can show/hide all the tabs that are currently open, grouped by the window that they are in. Users can click on the display to jump to specific windows/tabs, delete windows/tabs, and perform other useful functionalities. They can also rearrange the tabs in the popup window to fit their preferences.
How we built it:
Our program was built using Java Script, HTML, and CSS. Since this is a chrome extension, we utilize the chrome API to implement most functions.
Challenges we ran into:
Since our entire team was new to making chrome extensions, we faced problems in understanding how to utilize many of the functions that the chrome API allows. There were also a few issues in the beginning with debugging and having JavaScript files run properly.
What we learned:
We learned a lot about how chrome extensions work, including methods and properties for tabs and windows. Even though we knew javascript, html, and css beforehand, this project helped refresh our memory and helped us to continue to learn more about the languages.
What's next for Tabby the Tab Manager:
Implementing the voice commands, adding more functions and voice commands, improving the UI.
How to try it out:
Download the github folder.
Click on the puzzle piece icon at the top right corner of Chrome (on the right side of the search bar, next to all your other chrome extensions such as AdBlock).
Click on "manage extensions" at the bottom of the dropdown menu.
Turn on developer mode (top right corner).
Click the "load unpacked" button and select TabbyTabManager.
Click on the puzzle piece icon again.
(Optional) Click on the thumb tack icon to pin Tabby to your extension bar.
Click on Tabby to manage your tabs!
Built With
css
html
javascript
Try it out
github.com | Tabby The Tab Manager | Voice assisted tab manager. | ['Samek Mulepati', 'Jessica Louie', 'mmichelle238 Morris', 'Evelyn Yang'] | [] | ['css', 'html', 'javascript'] | 24 |
10,512 | https://devpost.com/software/protestapp | Login Screen (anonymous too!)
protest details (ios)
protest details
Change search radius
List of local protests
Create protest (1/2)
Create protest (2/2)
Refresh
Login with username/pwd
Inspiration
All across the nation, there has been a national outcry of social injustice. When a Black man is shot we have seen time and time again silence to be the end result. Indifference to these issues stems from our prejudiced current system. We have also seen a white man shooting up an entire school and given water when escorted to a police car. Here, we can see something deeply wrong with the system. Sayings like, “hands up don’t shoot.” have been shouted across many streets, and now more than ever people are starting to wake up to the corrupt system and are calling for change. Change can take place in many forms, but for many, the most efficient way is to show support in numbers by protesting. Now more than ever is the time to uplift your voice, as another saying, “out of your house off into the streets” is chanted you can join the movement too by taking out your phone and using ProtestApp.
What it does
Protesting, or the way organizers are publicly making their opinions heard by the public influence is a direct way people are trying to enact change. Our group thought that with everything happening in our society we should make an app to help these protests be more organized. Our solution was to design an app where people sign up anonymously, in order to protect their identity, and through our app will then be directed to find a protest near them.
How I built it
ProtestApp was built using five React-Native (coded in Javascript), Google Maps API, GeoCoder module
FireBase, and React-native-modal-datetime-picker (created by React Native Community)
Challenges I ran into
Our group saw a problem with being able to find protests, as most people publish protests through Facebook, and it is difficult to navigate and find reliable and trustworthy protests from legitimate organizations. The most challenging part of protests is being able to find one near you, but with ProtestApp it is easily accessible to find a protest near you by simply inputting your search destination and our app will direct you with the exact mileage on a map to automate a protest for your wanted destination. This makes finding a protest easy, efficient, and accessible for anyone.
Challenges coding wise was making sure all the software matched up. Sometimes it was difficult coding and then having issues with visually seeing things on the app so trying to debug code was a challenge at times.
Accomplishments that I'm proud of
For our group, this was our first hackathon so being able to make an app for social good, especially one concerning so many movements that are currently taking place feels phenomenal. Every day I see issues on the news of new protests taking place, but really any organization as a whole. This app will help people collaborate on a holistic scale
What I learned
Each of my teammates came in all with different backgrounds. I learned through the process, of how inspiring and life-changing coding is and all the possibilities you can do with it. It was very intriguing to watch each of us put in our inputs and see the vision come to life. I think with everything, it was very rewarding to have people be so positive and welcoming even if you have minimal experience.
What's next for ProtestApp
Taking things large scale, we want to add more features like police radio news updates, as well our number one priority is the educational and safety of people, so we want to add more educational sources so people who are protesting know why they're protesting. Things such as history, what to wear at a protest, and how to still be involved if you can not attend a protest in person.
Built With
database
firebase
reactnative | ProtestApp | An app that allows protesters to find a protest near them. Bringing people together for social good. | ['Shrey Aeron', 'Arya Gonuguntala', 'Julia Tameno'] | [] | ['database', 'firebase', 'reactnative'] | 25 |
10,512 | https://devpost.com/software/uconnect | Inspiration
From personal experience, we felt a barrier learning through. Although we had a desire to get closer to our fellow classmates, we were hesitant to reach out through zoom. Also, in our non-school environment, we found it hard to concentrate and focus on our schoolwork. In addition, we often found ourselves lacking motivation.
What it does
UConnect allows for easy connections and communication with your classmates with no additional costs. We found it important to produce an easy, cheap way to communicate especially with what is going on in the world.
How we built it
Using Figma, we first created an outline of the primary pages and their key functions. From those pages, we made more pages that we thought were essential in showing others how the app would work. Finally, we added some finishing touches by adding design and color to the app.
Challenges we ran into
Due to our limited experience, we were unable to hard code our app. Because of this, we were chose to use the prototyping tool, Figma, as it was the one we were most familiar with. We were also challenged when deciding which pages/features we wanted to and include.
What we learned
Though we were unable to hard code anything, we were still able to learn the thought process designer and app developers go through when designing an app. We learned about how designers needed to place and shape certain buttons on certain areas of the page so that it didn’t ruin the page aesthetics and wouldn’t confuse users. In addition, we also learned about how developers needed to decide which parts of their overall idea should be included in the app.
What's next for UConnect
Our goal for UConnectis to produce a working app with more possible features and to include more schools/universities in UConnect.
Built With
figma
Try it out
www.figma.com | UConnect | An app to help students find a community and study in their non-campus environment. This app also hopes to motivate students study and create a closer connection than what can be achieved by zoom. | ['jellymawan', 'Joy Mun', 'Jiyae Kim'] | [] | ['figma'] | 26 |
10,512 | https://devpost.com/software/escape-bj3ph5 | no-code parallel to Quarantine track
Background and context
The outbreak of the COVID-19 pandemic has significantly uprooted our lifestyles. Currently, quarantine and social distancing become the major efforts around preventing this rapid spread. According to our literature reviews, we noticed that many people start feeling isolated due to the absence of social interactions and physical contiguity, and this can increase the risk of mental and physical health problems. Therefore, to keep physical and mental well-being, people will need an opportunity to connect with one another and form meaningful relationships.
Problem Statement
“How can we help people maintain a healthy routine during the time of social distancing by establishing a digital platform that allows them to connect and interact with others in a meaningful and fun way”
Design Process - Research
Interview insights
Users would like a chatting room that provides a comfortable vibe that can help them relax.
Users would like to meet new people who share the same passion with them.
Users would like to have more support for non-verbal communication, such as emojis & stories.
Users usually share their joyful moments with others or spend time together to strengthen their social bondings.
Literature review insights
Frequent active involvement during the chatting can strengthen the bond among people
Doing volunteering work together to benefit the community can strengthen the bond among people
Design Process - Task Analysis & Design Opportunities
After synthesizing all the research results, we derive the following design opportunities and the major tasks we want to include in our solution.
Task #1
Team up with existing friends to participate in challenges to strengthen their bonds.
After completing the challenges, the app will donate certain money to a specific charity. Doing this not only will benefit the underrepresented community but also help strengthen the bonds among the participants as they do the volunteering work together.
Task #2
Create and join rooms to meet new people who share a similar passion
People found it troublesome to meet new people during social distancing and quarantine.
People like to make friends with the ones who share the same interests.
Task #3
Allow users to share their joyful moments and see the special moments between you and your friends
Sharing joyful moments frequently can significantly lower one's stress level
Displaying unique moments between two people can invoke their memories and further strengthen their bonding
What's next for Escape
Provide more interactive design, such as sending emojis and shaking phones together, to increase user’s active engagement
Add a recommendation system to pair up users according to their area of interest
Allow individuals to join a non-friend challenge team.
Provide accurate error messages to help users recognize, diagnose, and recover from errors.
Built With
xd
Try it out
xd.adobe.com | Escape | A mobile app that helps strengthen social bonding during quarantine | ['Yuqi Feng', 'Fanqi Shi', 'Yifan Wu', 'Zoe Zuo'] | [] | ['xd'] | 27 |
10,512 | https://devpost.com/software/belly-nagator | BellyNator
Inspiration
COVID-19 has impacted our lives in many ways, one such is by making us stay indoors without any physical activity. Without access to gym and the outdoors many of us have fallen short on our health goles.
So in order to do that here is a game for you that would make your body move and terminate the belly! Here be cautious of the red dot keep your hands away from them and catch all the green ones.
Bonus points for push-ups and Squats!!
What it does
Takes live feed from your webcam and uses posenet-ml5 to check for if a user is performing pushups and squats.
Furthermore, a user can also catch the green ball present on the screen while evading the red moving ball.
Tracking the user's movements and awarding points for the same is done in real time.
How I built it
Major part of the making was using ml5.js on pj5 editor online with a pinch of bootstrap.
Challenges I ran into
I had mostly hardware and connectivity issues.
Accomplishments that I'm proud of
Winning a prize in def hacks.
Working for a non for profit The OpenCode Foundation.
Taking part in HACKS'20 while job hunting.
What's next for BellyNator
A signup page and backend to store different users data along with visual representation of the same in similar lines of github commits.
Brief Introduction to our project:
Built With
bootstrap
javascript
Try it out
github.com | BellyNator | Terminate your belly by moving as you play! | ['Shrey Tyagi'] | ['Most Technically Advanced Project'] | ['bootstrap', 'javascript'] | 28 |
10,512 | https://devpost.com/software/trost | trøst logo
Daily Journal - Main Page
Daily Journal - Entry
Menu
Fitness Tracker - Running
To-Do List - Main Page
To-Do List - Entry
Friends List - Main Page
Friends List - Chat
Friends List - Profile Feed
Friends List - Profile Feed Item
Settings - Main Page
Settings - Account
Settings - Dark Mode
Friends List - Dark Mode
To-Do List - Dark Mode
This submission is for the no-code parallel to the Quarantine track.
Inspiration
Because of the current state that the world is in, it is difficult to focus on ourselves while staying connected with others. With trøst, we bring those two things together into one app.
What it does
Our goal with trøst was to build a wellness tracking app with a social component, this app will serve as a Journal, Fitness tracker, To-Do List, and a messaging service. This allows users to check up on their friends and see how they're doing. The app promotes positivity by helping people keep in contact.
How we built it
Our team mostly used the application Figma in order to design and create a prototype model of our app. Figma was really helpful in allowing us all to collaborate with each other and to be able to visualize our ideas. For each section of our app (daily journal, fitness tracker, to-do list, friends, and settings), we were able to divide that up onto different pages on Figma and split up the work. However, it usually wasn’t one individual working on a page - everyone contributed and edited with their ideas on every page, and as a result, we were able to really pull everything together and create a great first visual aid for our app. The most helpful part about using Figma was that we were able to see what everyone else was doing in real-time, and that way, we slowly started to see the theme, colors, and layouts of our pages develop.
Challenges we ran into
In the research phase of our project, we came across the strong competition in the market. Individually, the journaling aspect of our app and fitness tracker would have been lost to large competitors such as Fitbit. However, we learned that there is an opportunity to create a solution that combines multiple elements together in one easy-to-access app that is not only convenient but also easy to switch back and forth from.
In the iteration phase, we initially struggled with defining a cohesive brand that ties all aspects of the app together. We decided to focus on creating a prototype that combines both comforting colors such as lavender (for our bullet journal and to-do list sections) with more active colors such as a muted red and bright purple (for our fitness tracker section).
Accomplishments that we're proud of
We're super proud of being able to complete a fully fleshed-out concept in the time that we had! Our team worked very hard to polish every design element and to make everything look good.
What we learned
Hack '20 was the first hackathon for all members of our team, so it was completely new to us. We decided that the no-code option would be better for us to be able to learn without the pressure of needing a finished product in the end. We came in with very little coding experience and of varied backgrounds, and came out with improved collaboration, planning, and UI/UX design skills for mobile app development.
What's next for trøst
We would love to continue development on trøst to make it a reality! Since our team consisted of all first-time hackers and also novice coders, we were unfortunately not able to tackle the coding portion. But we would love to make trøst a reality in the future.
Built With
figma
Try it out
www.figma.com | trøst | To encourage human connection and health through building mindful habits. | ['Junhao Yuan', 'Stephanie Mai', 'Teresa Lee', 'Joanna Yoo', 'Tia Pham'] | [] | ['figma'] | 29 |
10,512 | https://devpost.com/software/lil-bites-q3uap5 | Inspiration
Seeing how COVID-19 has affected many small local businesses within the Seattle area, we decided to come up with a solution of creating a website on businesses that have been struggling and what they need from the community in order to stay financially afloat.
What it does
This website is similar to a Yelp review where it is the ways in which that restaurants will post a 5 star rating of the extent they're struggling, background information behind their business, and ways the community can help out.
How we built it
Html 5, CSS
Challenges we ran into
Only one team member knew how to code and with this in mind, it was a setback for our team.
Accomplishments that we're proud of
We're submitting it on time :')
What we learned
We learned much about time management, and for many of the members on our team (including myself), learned how to code!
What's next for Lil Bites
Contacting more local businesses and conducting interviews with them!
Built With
css
github
html5
netlify
Try it out
lilbites.netlify.app
github.com | Lil Bites | Supporting local businesses | ['joannap1 Phung'] | [] | ['css', 'github', 'html5', 'netlify'] | 30 |
10,512 | https://devpost.com/software/black-owned-business-chrome-extension | Inspiration
After seeing the movement for Black lives and particularly the movement to support Black-owned businesses, we felt inspired to create a solution that would encourage everyday investment into the livelihood of Black business owners. Since there is a surplus of businesses like these selling great products, our team decided to take on the challenge of redirecting attention from popular sellers to smaller companies that could use the support. On social media there's lots of lists of Black Owned businesses going around, but it can be hard to remember them in the moment you're searching for a product, and this is the problem our project wants to fix.
What it does
When a user goes onto Amazon and searches for a product, our Google Chrome extension pops up and suggests the user with alternative sellers by reading from a database of Black-owned businesses to buy from based on the product they were looking for.
How we built it
The team started with brainstorming the general structure of the extension, including a draft of UI elements. Then we split into teams to build the respective pieces of our chrome extension: the front end and actual packaging of the extension was done with HTML, CSS and Javascript; the back end database of Black-owned businesses was built using AWS. For backend, we used the rainforest api that takes a url and returns a list of product categories based on Amazon categories. We search our AWS DynamoDB database for these categories and return a JSON array of all the matching database options that has a Business name, url, description, and image.
Challenges we ran into
One major challenge was that our initial approach was to collect information from various Black-owned business websites automatically using a web-scraping tool (Selenium), but we were not able to access the information we were looking for with that method, so we pivoted rapidly to a more traditional database that we populated manually for the purposes of this hackathon.
Another struggle was that for most of our team, this was their first hackathon, so the format of learning on the fly was a new challenge that we had to adapt to in order to remain productive across long sessions of coding.
Accomplishments that we're proud of
Having a working demo that we can expand on in the future!
We learned a lot of AWS functionalities (DynamoDB, API Gateway, and Lambda functions) and we're really proud of being able to set up a properly working web app.
Working as a team to put together something functional rapidly in order to display our idea was an exciting process, and we all maintained a healthy attitude towards our project even when we were feeling lost.
We all persevered through our lack of knowledge to put together the demo, and throughout our time working together we discovered new ways to collaborate virtually, including a website that allows for live cooperation on a file.
What we learned
All of us gained experience with building Chrome extensions and how they interact with remote databases. We learned a lot about AWS and configuring APIs with lambda functions. Most of us with little experience with Javascript also had a crash course in asynchronous programming!
What's next for Black Owned Business Chrome Extension
In the future, we would like to change our database structure to automatically collect data from Black-owned business websites that offer alternative products automatically rather than needing manual data entry. We’d also like to work on matching the Black-owned business’ categories of products to Amazon’s categories through a process of synonymous word matching rather than manually changing the Black-owned business’ category to an Amazon category.
We also tried to use AWS CloudSearch to search for keywords (in the name or description) instead of just categories so that our search would be more precise, but we couldn't get it to work in time so that is something for the future.
Another goal for us is to look at broadening our scale so that our extension works on websites beyond Amazon!
Built With
amazon-web-services
chrome
css
html
javascript
json
Try it out
github.com | Black Owned Business Chrome Extension | A Google Chrome Extension inspired by coupon finders like Honey, except instead of a better deal we offer Black-owned businesses to buy from instead. | ['zeynept815', 'Ege Çağlar', 'Aedan McCall', 'corinneherzog', 'Sarah Khan', 'Svet Dim'] | [] | ['amazon-web-services', 'chrome', 'css', 'html', 'javascript', 'json'] | 31 |
10,512 | https://devpost.com/software/housing-roommate-finder | Inspiration
During quarantine, it has been difficult to meet new people. In particular, looking for housing and suitable roommates can be difficult if most of the people around you are not living near campus, or if you can't meet people who have things in common with you to room with. We wanted to create an easier way for UW students to find personalized housing, especially with the lack of socialization throughout quarantine.
What it does
UW Housing Hub allows users to add listings for their housing. They can not only post information about the place they are staying, but also share personal information about the current residents, including major, sleep schedule, and habits. Then, users who are looking for housing and roommates can browse based on certain preferences so they can get matched with the best listing possible.
How I built it
We used Python Flask to build an API that can add listings and roommate data and query listings from the database. We stored our listings data on Firebase, and stored images of the listing and roommates on the server. We then wrote a frontend in React that provided an interface for invoking the API. Finally, we deployed our webapp onto Google Cloud.
Challenges I ran into
It took a while to set up Google Cloud, especially getting the Flask backend and React frontend to run as one server. Additionally, it took some struggling to get the backend connected with Firebase.
Accomplishments that I'm proud of
We developed a nice UI design despite none of us having experience with UX, and the backend made the retrieval of data much easier. The setup took a lot of time, but getting everything up and running after struggling was very satisfying.
What I learned
This was the first time any of us built a full-stack web application, and we learned how all the parts of a webapp with the server, cloud, and frontend come together to make something that is easy for users.
What's next for housing-roommate-finder
We are adding some finishing touches to connect the frontend with the backend. We hope that in the future we can add a messaging system so future roommates can get to know each other even better, and a map to show the addresses of room locations.
Built With
css
flask
google-cloud
html
javascript
python
react
shell
Try it out
github.com | housing-roommate-finder | Hack'20 project: a webapp to help UW students find housing and roommates | ['Eric Yeh', 'Shandy Kim', 'jkim0036'] | [] | ['css', 'flask', 'google-cloud', 'html', 'javascript', 'python', 'react', 'shell'] | 32 |
10,512 | https://devpost.com/software/superschool | Inspiration
With the transition to online school, we noticed that our younger siblings struggled to keep up with their school work and communicate with their teachers. This was because each teacher had a different way of setting up their virtual classroom and assignment submissions. With the lack of face-to-face interaction, we noticed our siblings struggled to get help navigating virtual classrooms because of the inorganic nature of virtual communication.
What it does
SuperSchool is a platform on which schools can set up classrooms for elementary school students.
The home page has large buttons to help identify where to log in
Students can log into their page and access their tasks for today and well as another page for this week's schedule
All icons are big with pictures to help identify the task for students not yet confident with reading
Icons lead to tasks that need to be completed
It is still in the prototype phase and there are many more additions yet to come. However, the idea behind SuperSchool is to have a kid-friendly user interface that allows them to easily view & submit their assignments, communicate with their teachers, and manage their schoolwork. We designed the web application to have bright colors, large buttons, and a simplistic design to make it as easy to use as possible.
Additional Integrations
We also added a translate button to the website so students can use the application in multiple languages. This feature was added because there are many students who have parents who may not understand or read English. Thus, by adding the translate button, parents can help their students out regardless of what language they are comfortable with.
How we built it
We built our project using node.js. Our site is run using Google App Engine with Google Translate API.
Accomplishments we're proud of
Full UI design completed before beginning! A few of us have participated in hackathons before and we usually start ambitious and burn out by the UI phase. By starting our design off in Figma first, we were able to have a clear direction in what we wanted to create.
Accessibility features! Accessibility is something we're passionate about and we were able to start implementing it by added the Google Translate API to translate our page into whatever language the student wanted. This is useful for parents that might not be as familiar with English.
What we learned
Challenges with remote work, we all still have to eat food according to our families' schedules which resulted in several team members being absent at times
Technical difficulties... Computers are unstable at best, browsers crashing, random logging out of websites we needed, delayed ferries, no phone service, we've had it all.
What's next?
An automation bot to help students create schedules to finish their classwork on time.
A FERPA compliant scraper that allows for scraping of already existing platforms like Canvas
A functional teacher's page that has admin details that can be viewed from a dashboard
Integrations with school subject platforms such as ALEKS or IXL to reduce website link clutter
Email reminders for parents so they can be up to date on school status
And so much more!
Built With
css
firebase
google-app-engine
google-translate
html
javascript
node.js
Try it out
startschool.online
www.figma.com
github.com | SuperSchool | A primary school friendly Learning Management System that's easier for younger students who aren’t as familiar with learning online. | ['angonch', 'Anna Kuznetsova', 'Alicia Stepin', 'Ramya Challa', 'Sanjana Sridhar'] | [] | ['css', 'firebase', 'google-app-engine', 'google-translate', 'html', 'javascript', 'node.js'] | 33 |
10,512 | https://devpost.com/software/universityadvisor | Home
Faculty Log-In
Faculty Sign-Up
UniversityAdvisor is a seamless AI chat service that enables more streamlined academic advising scheduling. Cut problems with bulky university academic advising systems with this universal solution.
Students and faculties have moved indoors due to the COVID19 pandemic, creating a sudden situation that nobody expected. Caught unprepared, a lot of things that used to be done in person had to become online. Some works, but some becomes more complicated. One of which is making advising appointments. Because of this, we were inspired to create UniversityAdvising. UniversityAdvising is a chatbot that streamlines this process so that students can get connected to advisors as soon as possible.
What it does
Students can chat with UniversityAdvising to find appointment times with a particular adviser/faculty. UniversityAdvising will then post the appointment into a database which can then be sent as confirmation emails for the student and adviser/faculty.
How I built it
The technologies used to create UniversityAdvising are: Python (Flask) as the back-end, SQLAlchemy, PostgreSQL to implement database, Boostrap as front end, and DialogFlow for the chatbot
Challenges I ran into
It has been a challenge especially because it is some of the group member's first time developing in Python, but we were able to learn and tackle new problems. It was also the team's first time interacting with Google Cloud's DialogFlow, but the intuitive documentations and resources were able to help us in implementing our ideas.
Accomplishments that I'm proud of
We are proud of being able to create a product that will help students and faculties. We are also proud of the fact that we are able to create UniversityAdvising even though it is the team's first experience with DialogFlow and Python for some members.
What I learned
We have learned the importance of communications. By talking early on, we were able to clear up any miscommunications and have a clear goal of what we are doing. We also gained experience in implementing Google Cloud API.
What's next for test
Future functionalities may be:
Helping students with general questions
Help students add a class/waitlist
Use Google Translate for International Students
Implementing Voice Dictation for the Vision-Impaired
Built With
dialogflow
flask
google-cloud
postgresql
python
sql
Try it out
advisingbot.herokuapp.com | UniversityAdvisor | UniversityAdvisor is a seamless AI chat service that enables more streamlined academic advising scheduling. Cut problems with bulky university academic advising systems with this universal solution. | ['Marco Xu', 'yohanes koeswono', 'Reinard Gabriel', 'Jonathan Novecio', 'Rohan Katakam'] | [] | ['dialogflow', 'flask', 'google-cloud', 'postgresql', 'python', 'sql'] | 34 |
10,512 | https://devpost.com/software/sarahyw10-github-io | VoteOn
Hack'20 Project
https://sarahyw10.github.io
Formatted to fit Google Chrome
Team Member: Janavi Chadha, Ted Wang, Melinda Chen, Sarah Wehelie, Atishaye Jain
About
VoteOn is an idea we got regarding the current issues going on in the US right now. It came from our own experiences when it came to voting and the fact that the voter might feel overwhelmed by the elections and and wanted to make it easier for them by placing how they vote and where to vote in one place.
How we split up the work:
UI and UX Design: Melinda and Janavi
Developers: Sarah, Ted, Atishaye
Challenges
We made our prototype for the project from an interactive website. We grossly underestimated the amount of time it would take to implement all the necessary components. We wanted to use the Google Civic Information API so that the user can search for the polling locations near them, but most of us are beginners with using API and Javascript.
Also, most of us are first timers in terms of participating in a hackathon.
Overall, one thing we can guarantee is that despite not being able to accomplish everything on time, each one of us did try our best to do what we can and are proud of how we were able to work together in such a short time!
Built With
css
html
javascript
Try it out
sarahyw10.github.io
github.com | sarahyw10.github.io | VoteOn helps prepare your for your elections and candidates. Raise your voice for your community, Change always starts with you! | ['Sarah Wehelie'] | [] | ['css', 'html', 'javascript'] | 35 |
10,512 | https://devpost.com/software/hack20project | This project was bootstrapped with
Create React App
.
Built With
css
html
typescript
Try it out
github.com | Career Fair Portal | Since career fairs in person will be impossible this fall with remote learning and social distancing, this portal allows for the same interactions between employers and college students. | ['Allen Aby'] | [] | ['css', 'html', 'typescript'] | 36 |
10,512 | https://devpost.com/software/todddot | Inspiration
As three students living and learning at home, we have all felt the monotony of quarantine come in waves. Like children on an endless road trip, we seem to all be asking "are we there yet?" with no response and nothing to play with but the back of a headrest.
In quarantine, it can be especially hard to branch out and try new things. Taking naps to pass the time, or laying on the couch staring blankly at the ceiling contemplating life can get boring. That's where Extra Hour comes in!
Whether you are looking for new activities to try, routines to pick up, or more structure in your daily life, Extra Hour will provide the relief you have been looking for.
What it does
The website takes in user interests, as well as desired interests. When the user picks a date that they're free, they can drag and drop suggested events onto that date. Then there's an option to export it to Google Calendar or an .ics file, so the user can take their personalized day into the calendar of their choice.
Future Updates
We hope to develop features to curate activities based on an individuals profile and their experience with previous activities. Incorporating personalized recommendations, Extra Hour will suggest movies, music, recipes, and hiking trails to try as well as any socially distanced events in the area. Extra Hour will also allow users to adjust time limits and duration.
Fitting your lifestyle and schedule, Extra Hour will include an option to import your Google Calendar. Another exciting feature will provide a Surprise Me option, creating a completely randomized schedule pushing users to try things they never would have on their own.
How we built it
We used Figma to generate the general style, and HTML+Github pages to host a real-time prototype.
Accomplishments that we're proud of
This was our first hackathon with all of us having relatively limited coding experience, so we definitely stretched ourselves and learned a lot!
Built With
css
html
java
Try it out
github.com
www.figma.com | Extra Hour | With the monotony that sets in during quarantine, it can be hard to break out of a typical routine. Extra Hour will take some of your current interests and plan a day for you based on your choices! | ['Kenji Fujinaka', 'teaganmach', 'Kelly Chu'] | [] | ['css', 'html', 'java'] | 37 |
10,512 | https://devpost.com/software/hack-20-hnymdl | Rooms Board
Dashboard
Participant Board
Login Page
Registration Page
Hack-20
We started from brainstorming the possible ideas for the event. All of us was interested in solving the problems in the Campus Track since all of were pretty heavily affected during spring 2020. Since we know that a lot of freshmen will be coming in this Autumn, we think it will be really nice to provide them a smoother transition to college. In order to achieve this, we decided to make an app to allow them to meet friends more easily. We all agreed that meeting friends is one of the most important things in college. If we can provide a platform for incoming students to be friends with each other before actually meeting each other in-person, we can give them a smoother transition to college. Thus, we decided to make this app, which is designed to be a social platform for incoming freshmen.
We decided to use Twillio as our streaming platform since we think it provides the functions needed for us to effectively break people into different rooms and at the same time giving them freedom to create more rooms.
We used Google Firebase as our database to store user information so that when they enter a room, other people can see information about them such as classes they are taking, hometown and etc. By having these info and a well-designed streaming service, we believe that students will have a much better transition in terms of the social aspect to college.
We didn't have time to remove the hard-coded auth key in our application yet, but that will be our next task to focus on! If you are interested, feel free to contact us (
kevstar1@uw.edu
) and we will send you the invitation to access our private GitHub project!
Built With
css
firebase
html
javascript
Try it out
github.com | Buddy Finder | This website is a platform created to make making friends easier for incoming students. By choosing different type of activities, users can meet different type of people, and thus develop friendship. | ['Ryan Chiu', 'Muxi Ni', 'ktw0222 Wang'] | [] | ['css', 'firebase', 'html', 'javascript'] | 38 |
10,512 | https://devpost.com/software/campus-density-navigator | User Interface
Inspiration
Social distancing is a major part of preventing the spread of COVID, and with the usage of contact tracers on the rise, we thought we would combine the best of both worlds and create a contact tracing application that allows one to social distance themselves from others in real-time.
What it does
Contact tracer that tracks the location of all users of the application and provides live information on where the most dense part of campus are live. Gives analytics on where other users of the app are currently positioned.
How I built it
Python backend to process data and analytics. Javascript/HTML frontend website for user interaction. Java frontend to display aggregated data.
We use a frontend website to simulate a student using the app. The virtual student can navigate the campus and our backend python server and java display will show real-time data of where people are clumping together.
Challenges I ran into
Working with network sockets and sending data over http.
Establishing connections with http on client side.
Writing a web application from scratch.
Using Java swing and html to make GUI applications.
Accomplishments that I'm proud of
Working a live network connection across multiple clients and a server.
Creating web sockets and uploading programs to the web.
What I learned
Python/Java http connection, Javascript http connection.
What's next for Campus Density Navigator
Stronger analytics and more varied support on application.
More detailed GUI application portable to a downloadable app.
Built With
java
javascript
python
Try it out
hostwebdub.uc.r.appspot.com
github.com | Campus Density Navigator | Navigating campus has never been more difficult during COVID, here is a population map to guide you | ['Jonathan Ke', 'Daniel M Kim', 'Daniel Kim'] | [] | ['java', 'javascript', 'python'] | 39 |
10,512 | https://devpost.com/software/good-news-58hwg3 | Presentation
Inspiration
Our team felt that the abundance of challenges and sadness that the current Covid-19 situation has thrown at us has been quite overwhelming. We were frustrated at the fact that sad and depressing news is all we encounter in our day to day lives. To find a solution to this problem we believe many individuals might be facing, we decided to make Good News. This application acts as a way to bring happiness in times of darkness. It presents users with uplifting news stories that are often shadowed by sad news in mainstream news medias.
Although now just a positive new outlet, in the future, we would like Good News to act as a hub for mental health help resources - like suggesting coffee shops, walking routes, or parks to visit to keep ourselves from being a victim to the depressing state of the world.
What it does
It presents a daily update of positive news articles. It is also equipped with a search feature to look for positive news in specific categories. In short, it's like any other news search - without the sad news! It displays a rating next to the news articles which suggests how positive or negative a piece of news is.
How I built it
Using the Bing News Search API, we were able to fetch the news articles and add the search feature. Then, we use the Azure Luis API to run sentiment analysis on this news data to determine the rating of positive/negative/mixed/neutral news articles, and subsequently, display this.
Challenges I ran into
A primary challenge we ran into was integrating the Azure Luis API and the Bing News Search API together, which proved to be more time consuming that we thought it would be. An addition challenge we ran into was determining the best programming language to use for each API, but overcame this challenge pretty soon.
Accomplishments that I'm proud of
We are proud to have a working product! Although we have more visions for what we want Good News to be in the future, we are proud to have managed to create a working prototype that we can continue to build on!
What I learned
We learned how to effectively work in a collaborative team environment, especially when all our team members were so passionate about the cause we were working towards.
What's next for Good News
In the future, we would also like to make Good News not just catered towards bringing uplifting news, but also to act as a hub for mental health support - keeping with this idea of bringing happiness amidst challenges.
Built With
azure-luis
bing-search-api
css
html
java
javascript
python
spring
Try it out
github.com | Good News | During such trying times, we have been faced with a lot of sad and depressing news. Amidst all this, Good News is a platform that presents you with uplifting current events/news to brighten your day | ['rachelye1', 'jumanaf Fathima', 'Priyanka Ganesha', 'Kevin Xu', 'Michelle Hsu'] | [] | ['azure-luis', 'bing-search-api', 'css', 'html', 'java', 'javascript', 'python', 'spring'] | 40 |
10,512 | https://devpost.com/software/deaf-video-calling | When hearing people speak to Deaf people, the communication cycle breaks down.
Sign in page
The hearing user speaks and it translates to captions. If the Deaf user doesn't understand they can highlight and receive an ASL definition.
The ASL user can sign, and Computer Vision will interpret it and translate it to english captions.
Here's our progress within 24 hours -- real time transcription, video and nav bar.
Inspiration
Video chats (such as Zoom, Google Meet, etc.) are largely English based. Users communicate through speaking. Sometimes, the speech gets captioned so those which are Deaf can understand.
We did some informal research
here,
here
and
here
What we found is that captioning services do not take into account that ASL is the native language for many Deaf Americans. Learning written languages (such as English) can occur much later and informally, so naturally, many Deaf americans prefer to receive translation in their native language (through an ASL interpreter). This means that there is a lesser chance for the Deaf user to follow what is happening.
On top of this, even if the Deaf user does
understand
, that doesn’t mean that they can
communicate
back -- if the hearing user doesn’t understand ASL, the communication between both parties begins to break down.
What it does
We specifically focused on repairing the challenges of communication between the Deaf user and the hearing user. We needed to help Deaf users understand written English and help hearing users understand ASL.
First, we designed a new type of captioning service for our Deaf users. Captioning is also known as speech to text; however, this could be thought of as speech to ASL.
Taking into account that most Deaf users prefer translation through an ASL interpreter, we designed an interface where users can highlight the English text that they do not understand. Upon highlighting, the user is met with a video recording of an interpreter signing that specific word or phrase. This way, the Deaf user would be more likely to be able to follow along.
Next, we designed a new type of system to help hearing users understand ASL. Computer Vision would detect the signs being used and then translate them real time into english (think ASL to English text). This way, the Deaf user would be able to fully communicate using video.
How we built it
We decided to use React for the front end and Java & Python for the backend. A web socket API was used to connect the client to the server so data can be relayed back and forth. Unfortunately, due to time constraints we were only able to create our video chat framework (allowing 2 users to join with a unique ID) & create our captioning software using Pythons Speech Recognition library.
Due to time constraints, we weren't able to completely finish our ideal. However, after the Hackathon, we will continue to add more features. We plan to add a feature where the Deaf user would be able to highlight a specific word or phrase. When that happens, we plan to call an API to send us back a video translation in ASL that is specific to that word or phrase to help our Deaf users understand. We also plan on using YOLO Computer Vision to detect the ASL being signed to help our hearing users understand.
Challenges we ran into
One of our software developers wasn’t able to make it unexpectedly, which was unfortunate. That slowed down the back-end production a lot.
After the designers drafted up interfaces on Figma, the software developers began to move into the development phase. However, soon after the interface was drafted up and the back end was connected we ran into a constraint:
Amateur Computer Vision usage isn't able to pick up on ASL to the level we need. It can only determine the alphabet. This is an obvious problem if you empathize with them; imagine trying to speak by only sounding out letters and not words. To add to the complexity; ASL has
5 parameters.
To complete our ideal project, we would need a large database of handshape, palm orientation, location, movement and facial expressions to program YOLO (to which we do not have).
By this time, it was 10PM.
We dropped the Deaf video communication idea solely out of time; we wanted to create a working prototype of something. Knowing that our finished project of video calling with ASL captioning would still create a difference, we searched for ASL dictionary API’s but found none at all. Again, similar to the problem we had with our computer vision, we would have to create our own database.
Accomplishments that we're proud of
Within the time constraints, we were able to share our ideas and combine them into an innovative opportunity to redesign our online communication system. We’re proud of how hard we worked together; each person contributed in a unique way which with our different specialties -- such as React, Java and Figma. Overall, we are proud of the entire notion of our project; we know the idea will make a difference.
What we learned
Through our development, we learned how hard development on such cutting edge technologies can be.
When looking at several competitors like
https://www.youtube.com/watch?v=8lwQ22yZaD8&feature=emb_title
or
https://www.youtube.com/watch?v=Qhg8PQjzTQI
we see that the technology surrounding Computer Vision within the context of ASL is so complex and difficult, that it takes months to develop an actual working prototype.
Because of the complexities of ASL (5 parameters of ASL) it was impossible to create a dataset of deaf signs with the time limit we had. If we had a team member fluent in ASL it may have been possible.
What's next for Deaf Video Calling
We fully intend to continue development on this idea.
To fully create our ideal, we plan to begin building the ASL database which accounts for all 5 factors of ASL (handshape, palm orientation, location, movement and facial expressions). We plan on using large amounts of user research in order to achieve this.
We also plan on building our database so the user, when highlighting the English captions, can get the ASL translation. After our database gets built, we plan on expanding our caption service to other fields, perhaps live webpage translation, aside from our chat app.
There is a very large gap within our current communication system for the Deaf community and we intend to close it.
Built With
figma
java
python
react
websockets
Try it out
github.com | Deaf Video Calling | Redesigning the communication cycle. Deaf people can understand hearing people, and hearing people can understand Deaf people. | ['Julianne Vania Mendoza', 'Varun Rao', 'Jeffery Tian', 'Thomas Wilson'] | [] | ['figma', 'java', 'python', 'react', 'websockets'] | 41 |
10,512 | https://devpost.com/software/tenbot | Inspiration
Due to the current COVID 19 situation, governments have enacted 6 feet social distancing guidelines to ensure the stop of the spread of the virus. The consequence of this policy is the restriction of the amount of people in a single waiting room to only a few family units. Thus, many businesses and institutions have experimented with outdoor seating/waiting areas to maximize the amount of people that can spread out. This is an okay solution, but not practical enough for businesses with a moderate amount of customer traffic. We decided to engineer a solution to this scheduling problem by creating a chat bot that users can text to schedule appointments with the business/institutions.
What it does
Our specific example was done for a doctor's office, a high impact area where reducing waiting times is all the more important, but since we already have a framework, creating another bot that can include information about another business like a salon is a very manageable task. The doctor must first login with their google account to allow our app to access their google calendar. Then, users can start make requests to the bot (in plain english!) by texting our Telegram bot. Then, the bot will perform tasks like scheduling and removing appointment as well as reply with intelligent responses by interpreting what the user said.
How we built it
Each of us developed on a Google Cloud virtual machine (through ssh).
Using a messaging platform for our chatbot like Telegram allows users to not have to search online and navigate through a website but rather use a simple search bar to start speaking to our bot. Then with machine learning and natural language processing, we are able to interpret what the user is saying as clearly as if they had pressed a button. Our scalable Kubernetes backend handles the requests and creates an appointment on the doctor's google calendar (using Google's API), simplifying both the patient and doctor experience. More technical details about the exact choices for the technology can be found in the next paragraph.
The way rasa, the open-source technology we are using for the natural language processing, works is through several different servers that handle different operations: entity extraction, training, and choosing actions. I knew this meant our backend required several docker containers running at once and communicating with each other through a specific port setup for the bot to run. At first, I used a
docker-compose.yml
as the specification for all these docker containers. Since I was already familiar with how docker networks worked, there were few issues in creating this file and letting it run properly. What makes docker-compose worse than Kubernetes in our use case is that it is not self-healing. Sometimes one of our moving components would unexpectedly fail, and this would bring the whole system down using docker-compose. In contrast, Kubernetes can detect when a service fails and restart it. Furthermore, Kubernetes allows us to support more users when we can expand in the future, since it was also allocate more clusters (groups of these docker containers) if our bot is handling high traffic.
Challenges we ran into
Before this hackathon, none of us had never used Kubernetes before. I (Vlad) had read articles explaining how it worked on a higher level, but had never done anything with it. In hindsight, this was an excellent opportunity to learn even if there were a lot of bugs and issues I had to figure out. The most difficult part was mounting multiple volumes of memory to one service when I was trying to give nginx access to my
default.conf
configuration file and my ssl certificate. This was all because the telegram API only accepts requests from https connections. After searching google extensively, I found a stackoverflow answer that linked to the documentation showing my method would not work and I needed to switch the way I mounted my files. The whole night was filled with these sorts of very obscure bugs, because the code I was writing was very specific to my application.
Accomplishments that we are proud of
Not Dying
Learning about the steps in natural language processing through an abstraction (rasa)
Using Kubernetes to create a
somewhat
complex backend setup (4 services in total).
Working prototype that can be generalized
What we learned
Google Calendar API
Telegram API
Solid development pipeline for connecting ML code to a backend which can serve it
and a lot more...
What's next for TenBot
We hope to remake it for a few more examples and offer it to local businesses for free to gain valuable feedback. Then, try to automate the process of creating these bots by parsing business website html, getting predefined input fields, and other ways to simplify and abstract the process of making TenBot.
Built With
docker
duckling
kubernetes
nginx
python
rasa
yaml
Try it out
t.me
github.com | TenBot | An Accessible Chatbot for Scheduling Medical Appointments | ['AndrewW Wu', 'vladov Ovechkin', 'Robert Burris'] | [] | ['docker', 'duckling', 'kubernetes', 'nginx', 'python', 'rasa', 'yaml'] | 42 |
10,512 | https://devpost.com/software/helperville | Inspiration
According to the CDC, seniors are at high risk and therefore more likely to remain at home and socially distance themselves. We wanted to create a streamlined web application to aid seniors with their errands and provide an environment for virtual interaction.
What it does
The feature suites of our web app are designed around two focuses, social and service. We envision that this app will be used by local community centers as a platform to post virtual social events where seniors can just explore and join, like book clubs and cooking classes. The service aspect, on the other hand, will be offered by volunteers in the neighborhood where they can help with grocery requests. The key here is to foster a sense of community and bring the neighborhood together to support those in need.
How I built it
We spent most of our time designing the app interface in Figma and the voice control flow in VoiceFlow. We also have a simple voice control demo built in React using the Web Speech API.
Challenges I ran into
Due to the online component it was difficult to get the same environment setup for everyone this hindered all of us from being able to work on the github repo. Also we had some issues learning voiceflow in a short amount of time however we were able to learn and make progress on polishing the interaction design.
Accomplishments that I'm proud of
We were an adaptive team. We met starting Friday night to be able to do the research and gain background knowledge needed to design and build something we care about. It is definitely a challenging idea to implement and even more challenging given the virtual setting, but we manage to communicate and collaborate on Zoom and make meaningful progress.
What I learned
The main skills we learned were communication and collaboration especially with our hackathon being virtual. We had to be mindful of each other's commitments, time zones, and skill rangers and make sure that everyone felt that they were able to have a meaningful contribution.
What's next for HelperVille
We want our web app to integrate with existing social services for seniors from community centers and local government groups after the pandemic ends. This way, seniors have access to reliable and affordable services on one centralized platform regardless of who is providing them. We also want to migrate it to a mobile app as well to target senior users who own a smartphone.
Built With
figma
react
Try it out
www.figma.com
creator.voiceflow.com
github.com | HelperVille | Connect and empower our seniors, together as a neighborhood | ['jyoti lama', 'Wen Qiu', 'Aiyu Chen', 'Tiffany Tse'] | [] | ['figma', 'react'] | 43 |
10,512 | https://devpost.com/software/voteon | VoteOn
Hack'20 Project
https://sarahyw10.github.io
Formatted to fit Google Chrome
Team Member: Janavi Chadha, Ted Wang, Melinda Chen, Sarah Wehelie, Atishaye Jain
About
VoteOn is an idea we got regarding the current issues going on in the US right now. It came from our own experiences when it came to voting and the fact that the voter might feel overwhelmed by the elections and and wanted to make it easier for them by placing how they vote and where to vote in one place.
How we split up the work:
UI and UX Design: Melinda and Janavi
Developers: Sarah, Ted, Atishaye
Challenges
We made our prototype for the project from an interactive website. We grossly underestimated the amount of time it would take to implement all the necessary components. We wanted to use the Google Civic Information API so that the user can search for the polling locations near them, but most of us are beginners with using API and Javascript.
Also, most of us are first timers in terms of participating in a hackathon.
Inspiration
Currently only about 51% of eligible voters in the United States actually vote during major elections and even less vote in their local elections. Due to COVID-19 we may see an even smaller voter turnout due to concerns about social distancing. While mail-in ballots are an option, most voters aren’t familiar with the process and therefore may choose not to vote.
What it does
VoteOn provides its users a single solution to their voting questions and problems.
Though VoteOn users can find their upcoming local / state / federal elections, information on the candidates as well as resources on how to register to vote and how to request for mail in ballots on a state by state basis.
How I built it
Figma, HTML/CSS, JavaScript
Overall, one thing we can guarantee is that despite not being able to accomplish everything on time, each one of us did try our best to do what we can and are proud of how we were able to work together in such a short time!
https://docs.google.com/presentation/d/1TgizEWSndkIVqbH6iUzO2Awt3oSCdtG5E9msXqvLp8Y/edit#slide=id.g90e34bbcac_0_60
Built With
css
figma
html
javascript
Try it out
docs.google.com
sarahyw10.github.io
github.com | VoteOn | VoteOn helps prepare your for your elections and candidates. Raise your voice for your community, Change always starts with you! | ['Janavi Chadha', 'Melinda Chen', 'Sarah Wehelie'] | [] | ['css', 'figma', 'html', 'javascript'] | 44 |
10,512 | https://devpost.com/software/vesta-0vu9kr | Mock website screenshots.
With our collective experiences in quarantine, we were inspired to create a single platform for people to connect in a virtual space to seek support, interests, hobbies, and a network right next door. Vesta (noun) is the Roman goddess for hearth, home, and family --- making it more imperative than ever to build our virtual community. Especially virtually, it is becoming more prevalent than we are becoming fatigued by our work online. By creating a space where we can be more intentional with our time and the people we connect with, we are opening doors to the community that can collaborate virtually. As we are navigating the sense of a “new normal,” Vesta seeks safe and innovative ways to interact socially all while being all in one place. Whether you are trying to find a hiking buddy for post-Quarantine, offering to run groceries for the elderly in your neighborhood, want to submit a neighborhood watch report, or looking for someone to bake cookies with over Zoom, Vesta is your place.
Built With
css
express.js
figma
firebase
firestore
google-client-authentication
google-cloud/vision
google-functions
html
javascript
Try it out
github.com
dubhacks2020-ec32e.web.app | Vesta | Vesta is a platform that facilitates communication between neighbors, and hosts virtual communities of people with similar interests. Our goal is to unite both local and global communities virtually. | ['Bethany Locke', 'jennamaeda Maeda', 'Zachary Holly', 'Zack Carey'] | [] | ['css', 'express.js', 'figma', 'firebase', 'firestore', 'google-client-authentication', 'google-cloud/vision', 'google-functions', 'html', 'javascript'] | 45 |
10,512 | https://devpost.com/software/scheduler-06v2k1 | website demo
wireframe
Inspiration
All the members suffer from under-productiveness during covid. Some feel confined in a small room, others are building up bad schedule they cannot get rid of. Besides all the under-productiveness, we also realize some events we have been doing put us under risk to catch covid.
What it does
Scheduler we developed is beyond scheduling event. Within the time range you selected, Scheduler help you to drag and drop your task onto calendar to plan your daily life. We plan to use NLP
How I built it
We use whimsical to wireframe the product. We then use react app to build the product.
Challenges I ran into
Many of the members have forgotten react skills. It wasn't easy to develop while look up react basic documentation
Accomplishments that I'm proud of
We manage to turn many ideation into code.
What I learned
It's not too late to recollect a skill
What's next for scheduler
scheduler will be finalized and introduced to facebook community
Built With
react
Try it out
github.com | scheduler | Keep life productive during quarantine with event-sensitive scheduler! Plan your life, and get covid related suggestions on your event | ['yodae-yeshitela', 'Sailesh Sivakumar', 'Daniel Lin', 'Martin Zhang'] | [] | ['react'] | 46 |
10,512 | https://devpost.com/software/crowd-news | Inspiration
That inspired us was giving people a safer platform to post things about social injustice without being exposed to scammers.
What it does
Lets people lookup news related to protests, petitions, and social injustices in general.
How I built it
We created a website, in which we had to use JavaScript, HTML, and CSS.
Challenges I ran into
Create the whole website overnight.
Accomplishments that I'm proud of
The homepage and the custom google search engine
What I learned
Learned how to create a google search engine
What's next for Crowd News
Add more and enhance our features.
Built With
css
google-app-engine
html
javascript
Try it out
github.com
crowd-news.glitch.me | Crowd News | Make online activism more than just performative action. Let people have a platform where they can post things about news about social injustice, protests and petitions. | ['yayingw', 'Zoey Shi', 'Lahari Nidadavolu', 'Mekedes Dejenie'] | [] | ['css', 'google-app-engine', 'html', 'javascript'] | 47 |
10,512 | https://devpost.com/software/classroots | Inspiration
With school campuses reopening for fall and COVID-19 cases still on the rise, thousands of parents have begun scrambling to organize home or hybrid-schooling for their children as a safer alternative. Unfortunately, this can be an overwhelming and isolating experience for both parent and child. This is especially true for families from lower socioeconomic backgrounds who may not have access to paid resources like private tutoring. Classroots was designed to address parent needs for forming supplemental learning and social groups for their kids and reduce the equity gap in education through its free and community-powered platform.
What it Does
Classroots allows parents of homeschooled or hybrid-schooled students K-6 to connect to discuss curriculum and education opportunities for their children. They can connect via shared locations, interests, or educational styles.
How We Built it
We created the front-end with React and the backend with Express, using Firebase to handle database transactions.
We also used passportJS for user authentication and authorization
Challenges We Ran Into
We put the wrong path for our import and we spent an hour trying to fix it.
Getting Firebase to work with our stack was a bit challenging at first b/c we hadn't used it in an API before.
Accomplishments that We're Proud of
Seeing this project take shape quickly has been fun and we all learned something new. However, since our skill sets were so diverse, we were all able to learn from each other.
What We Learned
New technical and collaborative skills
What's Next for Classroots
Better UI, More comprehensive and safe backend (we had to expose our secrets b/c we couldn't get heroku working properly), and expanding on how to make more immersive "pods"
Built With
express.js
firebase
passport
react
Try it out
github.com
classroots.herokuapp.com | Classroots | Grassroots + Classroom. Connecting homeschooling parents with supportive communities. | ['KV Le', 'Judah Wyllie', 'Anushka Narvekar', 'Joshua Maza'] | [] | ['express.js', 'firebase', 'passport', 'react'] | 48 |
10,512 | https://devpost.com/software/ave-rewards | Home page with map of restaurants
Browse page for viewing available coupons
History page for reviewing past transactions
Scan page for scanning receipts and receiving points
Inspiration
We wanted to create something to help encourage customers to buy from small independent businesses near the University of Washington. As some of our most beloved restaurants on the Ave are struggling due to the COVID-19 pandemic, we wanted to offer an incentive for customers to boost sales and hopefully keep these businesses afloat. Students are often low on spending money, so we love a good coupon. This app functions as advertising for the restaurants and as a fun restaurant exploration and cost-saving tool for students.
What it does
Users of our web-app can shop at participating restaurants and scan their receipts, earning them points. Restaurants that the user has not yet scanned a receipt from earn double points to incentivize buying from new places. These points can be redeemed at any of the participating restaurants for varying rewards. The app contains a map that will show users what restaurants around them are part of this rewards program, and displays the amount of points necessary to redeem a coupon. It also shows the history of what receipts have been scanned and how much money the user has saved by using these coupons. Other elements in the mock-up include a search bar to locate restaurants by name or type, a contact page to report issues, and about page.
How I built it
Our designer created a mock-up in Figma, while our front-end developer created the web-app using React and our back-end developer created a database using SQLite.
Challenges I ran into
We attempted to find a way to connect the front-end to a back-end server, but we did not have the time or experience necessary to do so. The design prototype connections got quite convoluted and were tricky to keep straight, especially with the map, but eventually we were able to sort this out well.
Accomplishments that I'm proud of
Coming up with a unique approach to this difficult problem presented by the pandemic. Creating a fairly robust, clickable mock-up in Figma and learning how to use components to create static elements on scrolling pages, such as a header and bottom bar. Embedding a Google maps component in React. Creating a database in SQLite in a short amount of time. Working together as a remote team and encouraging each other even when we ran into roadblocks.
What I learned
That a lot can be accomplished in 24 hours, but a lot cannot. Also, it is very useful to have past experience rather than learning as you go. That it can be a lot of fun to design a prototype from scratch, with less limitations than with a client or in a class. And that it is really helpful to look up UX prototyping tips to help accelerate the process.
What's next for Ave Rewards
Next, we would like to connect the front-end to the database through a back-end server. Ideally, we would like to code up all of the functions in the mock-up.
Built With
react
sqlite
Try it out
github.com
www.figma.com | Ave Rewards | Allows customers who buy at restaurants near UW to receive points that can be spent at any participating restaurant on the Ave. | ['Yusuf Abdallah', 'Clara Too', 'sizaak Dowd'] | [] | ['react', 'sqlite'] | 49 |
10,512 | https://devpost.com/software/ar-breakout-rooms | Front designer view!
Here's how the app loops
Inspiration
Online classes are here to stay. Can we do better?
What it does
Connects a few people through their phones to view each others avatar and voice chat with them.
How I built it
Unity was the framework for the actual app. We pulled a publicly available 3d model to use as a player model, used the AR Foundation + ARCore libraries to facilitate Andriod development
Agora.io was used to facilitate audio communication, automatically has user join the same voice channel as the rest of the group.
Used node.js to develop a server. Used Socket.IO instead of http request so that the communication between the client and the server is faster.
Challenges I ran into
Using many public tools + libraries + creating our own server, we ran into compatibility issues.
Accomplishments that I'm proud of
We're proud of this learning process. Most of our team has never used unity or C#, but through the guidance of our more experienced member (Kirit Narain), we've learned so much. To be able to create something that might be useful for people.
What I learned
We learned even though all our member are in different continents, code connects. From making projects together and expriencing projects together.
Learned how to set-up an AR project on unity!
Learned how to develop a server from scratch!
Built With
agora
c#
node.js
unity
Try it out
github.com | AR Breakout Rooms | Able to connect a small group of people in a breakout room for class section with AR, to communicate with more of an "in person feel". | ['Dixon Tirtayadi', 'Kirit Narain', 'Samuel Vanderlinda'] | [] | ['agora', 'c#', 'node.js', 'unity'] | 50 |
10,512 | https://devpost.com/software/binder-5fm4w1 | binder
Zoom University makes it hard to find people to study with. binder groups you with people in your classes so you can easily meet new friends and study mates.
Built using React.js, Express.js, and MongoDB.
Built With
css
html
javascript
Try it out
github.com
binder20.herokuapp.com | binder | It can be hard to meet classmates over Zoom. Use binder to easily meet and study with other students. | ['samlevy3', 'samo979 Orth', 'corth6'] | [] | ['css', 'html', 'javascript'] | 51 |
10,512 | https://devpost.com/software/workoutbuddy-10ib2s | Inspiration
Quarantine and closing of gyms!
Many workout platforms don't have a feature that allows users to connect and work out with their friends virtually.
What it does
Connects users and communities and motivates them to work out together from home.
How I built it
We used a react template as a start for our front-end and heavily edited it to suit our application. We hosted it used firebase and attempted to incorporate video-chat using webRTC. Prototyping and ideating was done in Figma.
Challenges I ran into
We ran into a lot of trouble trying to get webRTC's peer to peer connection to work, as well as initially creating the react layout from the designs we received from our designers.
Accomplishments that I'm proud of
Using Bootstrap to create a layout from our designers, ideating and prototyping our designs for the ideas we had in Figma, working together remotely, not giving up when we started over eight hours in, not pulling our hair out every time our code didn't compile or git stopped working.
What I learned
Work through the most difficult part of the project first to ensure that you can actually get it working, and don't get bogged down in smaller things that aren't central to the bigger picture. Also use .gitignore with node modules or else you'll be recloning your repo like every time you pull.
What's next for WorkoutBuddy
hahah something
Try it out
github.com
www.figma.com | WorkoutBuddy | No longer will quarantine keep you away from working out with your friends! | ['Youjean Cho', 'Larry Tian', 'Muru Zhang', 'Anna Shi', 'Alyssa Vo'] | [] | [] | 52 |
10,512 | https://devpost.com/software/checkin-friendly-quarantine-productivity | Login Page
User Timeline
Creating Tasks
Creating Tasks
Creating Tasks
Inspiration
Technology has made it possible to do anything we want to from indoors, however, we still notice a drop in people's productivity during the quarantine. We wanted to create a platform to address this issue. We designed a system to bridge the social gap between people during the pandemic. The idea behind the app is for friends to help each other stay productive and mentally healthy. We are trying to help create the illusion that we are "meeting" several people every day and making progress with them!
What it does
Steps -
1) Create an account
2) Make tasks you do frequently eg:- Gym ( 3x per week), Study(6x per week)
2) Create groups with friends who can see your progress for individual tasks.
For example , Friend B can see my progress on Gym, and maybe Friend C can see my progress on study. Alternatively, both Friend B and C can see both my progress in gym and study.
3) "Check-in" on friends if you think someone is not being productive.
4) Get notified when your friends "Check-In" on you.
5) Improved Productivity and mental health!!
How we built it
We created the backend server using the Spark Framework. The entire backend was written using Java. We created an API with the help of the Spark Framework and used the Gson library to serialize and deserialize java.
We used the React framework, HTML, and CSS for the frontend.
Challenges we ran into
Since most of our team was inexperienced with React, we faced some problems while implementing the features that we wanted to.
Accomplishments that we are proud of
Creating a fully functional web app with all the features that we decided before starting the hackathon.
What we learned
In the frontend, We learned how to use React better and make complete applications using it.
In the backend, we learned about the importance of carefully making design choices otherwise they can cause problems down the line.
Overall, we learned about the effort it takes to create a functioning product while trying to prioritize user experience.
What's next for CheckIn - Friendly quarantine productivity
In the future, we want to host it on the web and implement features that will let users customize their feed more and also release mobile versions of the web app.
Built With
css
gson
html
java
particle
react
Try it out
github.com | CheckIn | Social Quarantine Productivity | ['Wayne', 'Xiao Liang', 'Ansh Nagda', 'Rishabh Patted'] | [] | ['css', 'gson', 'html', 'java', 'particle', 'react'] | 53 |
10,512 | https://devpost.com/software/shih-tzu-secretary-qos5zu | New Tab Opening Screen
Chrome Extension Pop Up
Inspiration
We’ve all been feeling down with the myriad of events happening so far in 2020. From the pandemic to the stress of racial disparities to killer bees, we’ve made a peaceful chrome extension that will hopefully boost your productivity.
All of us enjoy and have encountered the beloved character Isabelle from the Animal Crossing video game. She’s a fan-favorite to many people besides us due to her soothing nature yet hard-working attitude. Since her job in Animal Crossing is a secretary, we thought that we could use her skills to be our secretary outside of the game and into real life!
Isabelle will support you with achieving your goals and tasks all while being calming and nice.
What It Does
Shih Tzu Secretary is an extension that features a custom page and a clickable extension interface made for people who spend a lot of time on their web browsers. Instead of the default new tab page for chrome, you are greeted by a cheerful canine secretary who offers several features that help with day to day productivity such as
a calendar and a to-do list
. To incentivize users for using the app, they are able to gain bells (application currency) that allows them to purchase customizing clothes for Isabelle to wear. In addition to the custom page, there is an interface when clicking on the extension button. From there, a user is able to check and edit their to-do list, set up a work/productivity timer, access the in-game store, and can even check the time on our real-time clock.
Bonus feature! We’ve even added a playlist of songs for entertainment.
How We Built It
For the visuals, we used Figma for collaboration/feedback and used Illustrator to help with the finer details of our visuals (since Figma is a bit clunky at times).
After receiving some beautiful prototypes from our designers, it was time to dive into the code. Many of us had experience building websites and working software, but creating a project on the fly with no structure is another beast all together.
Challenges We Ran Into
We needed to figure out how to actually create a Google Chrome Extension. After struggling with the opening tutorials, we dove headfirst into the project. There were many bumps in the road, from syntax typos all the way to version control merge issues. Despite our lack of experience and knowledge while creating the technology, we still managed to create something that works and most importantly that we take pride in.
Time was a huge challenge when it came to the visuals. We didn’t think that it would take so long to finish an illustration along with the UI designs.
Accomplishments that We’re Proud Of
We actually agreed on something that we all liked which motivated us to go through with this project!
We’re proud of how well the project looks and how it interacts with the user.
We spent a lot of time and energy into our projects and we can’t wait for others to check it out.
What We Learned
For illustrating, it took a lot of feedback gathering and time just to get it started. It was hard trying to visually create something that all of us had in mind and still make it look good in the allotted time that we had. Sketching out things or making things roughly as a start is very helpful to confirm what is the team’s vision and brings confidence to begin illustrating. Talking to each other is very important since we were able to support each other and figure out what is feasible for all of us to implement.
What's next for Shih Tzu Secretary
We hope that the Shih Tzu Secretary can be used regularly. Isabelle will be there to support you with your productivity and personal goals all while being kind-hearted and soothing. We want this to be something that is not only helpful but entertaining.
Built With
adobe-illustrator
css
figma
html
javascript
Try it out
github.com
www.figma.com | Shih Tzu Secretary | This is an Animal Crossing inspired productivity chrome extension. Spark some joy with Isabelle! | ['Cheryl Wu', 'Simon Talusan'] | [] | ['adobe-illustrator', 'css', 'figma', 'html', 'javascript'] | 54 |
10,512 | https://devpost.com/software/hopeful | MockUp of Hopeful (Dark)
MockUp of Hopeful (Light)
Presentation Link
Inspiration
In order to ensure the safety of others, it is important to maintain social distancing and stay at home when possible.
Keeping that in mind, our app idea came from a unique problem that people are facing in quarantine.
How do you say goodbye to loved ones who passed away?
What it does
Hopeful includes multiple features to provide users mental health resources and technology to aim them in the process of coming to terms with grief and loss:
Create a memorial page for someone who recently passed away where users upload photos, videos, messages to share their memories.
Funeral services live-streaming via Zoom
Online group counseling live-streaming via Zoom
External mental health resources
Fundraisers to help the family to raise funeral funds
How we built it
Using Figma, we build a low-fidelity and high-fidelity prototype. Additionally, we coded a lot of the prototype using the Angular Framework and Angular Material to make a functioning web application.
Challenges we ran into
Virtually debugging is a challenge. Helping a team member through text and photos was a challenge since we couldn't test commands out or look through the code. We also had trouble setting up the configurations to connect Firestore with our web app because it was our first time using Angular. It took a long time to identify a bug where we are retrieving from the wrong data collection from our existing database on Firestore.
Accomplishments that we're proud of
Hack'20 is the first hackathon for many of us. We are proud of how we manage to research, ideate, and design our project in a timely manner. Our developers are very proud to have learned and worked with Angular for the first time. It was a great accomplishment to not give up when unable to find the bugs keeping us from connecting to the database and finally identify the problem.
What we learned
Some of us have worked with TypeScript while some of us haven't! With the help of teammates, we helped each other learn Angular. Learning to work and discuss with a team was our biggest lesson today. Hacking virtually was definitely an enlightening experience!
What's next for Hopeful
Continue to build out Hopeful into a fully functioning web application as well as maturing our integration of Firestore for user authentication, robust data manipulation and retrieval, and managing security of these online profiles.
Built With
angular.js
angularfire
css
figma
html
Try it out
www.figma.com
github.com | Hopeful | A platform for users who have recently lost someone and are unable to attend the funeral due to COVID-19 | ['yunweiliang', 'Elva Chen', 'Sharon Lin', 'Timmy Pham'] | [] | ['angular.js', 'angularfire', 'css', 'figma', 'html'] | 55 |
10,512 | https://devpost.com/software/walrisbot | Inspiration
We wanted a more communal and social way to share and test code solutions among friends. We felt sites such as leetcode don’t have the intimate experience of comparing solutions with a friend.
What it does
It takes your code and a specified language as input, runs it in Google Cloud, and sends back any output and error messages. It also measures the time the program takes to run.
How we built it
Splitting up into teams, one team built the initial Discord bot and the other implemented a way to run the code and return output. Then we incrementally and iteratively added our desired features.
Challenges we ran into
We initially wanted to run the backend on AWS, but its read-only capabilities prevented us from being able to run code there. We also ran into some issues with Google App Engine because we needed local file access and it did not have that. We switched over to Google Compute Engine and everything is working great now!
Accomplishments that we're proud of
We’re proud that we support using multiple languages, reporting errors, and deploying on Google Cloud. On Google App Engine we ran into issues with not being able to handle recursion but now that we are using Google Compute Engine recursion is no problem for us!
We are also happy with how many edge cases we covered like infinite loops, larger outputs, and empty string outputs.
What we learned
We learned more about how to develop software as a team, and also how to manage a larger project, in terms of modular design and task delegation. Through working with both AWS and Google Cloud, we also gained valuable experience in cloud computing.
What's next for WALRIsBot
MORE LANGUAGES, slack integration, displaying code challenges, with user submissions
We would like to add support for more languages as well as create a similar bot for Slack and keep track of space efficiency. Additionally, in the future, we may want to store problems created by users into a central hub which is open to the public.
Come check it out on our discord channel
https://discord.gg/AA2ppGD
Built With
discord.py
google-cloud
java
python
Try it out
github.com
discord.gg | WALRIsBot | Have YOU ever wanted to share your solution to a coding prompt with your friends? With WALRIsBot, you can run your code in Discord and compare things like time usage with your friends! | ['William Siauw', 'Atharva Deodhar', 'Luke Kelly', 'Imran Majeed'] | [] | ['discord.py', 'google-cloud', 'java', 'python'] | 56 |
10,512 | https://devpost.com/software/fitfriends | Logo
Home Page
Create Workout
Explore Workouts
Inspiration
FitFriends was inspired by the need to find new at-home workouts online and stay connected with friends and family during quarantine.
What it does
FitFriends allows users to create, share, and explore workouts online. Share workouts that have kept you confident in quarantine, or look for inspiration among workout posts from friends and family, FitFriends will help you keep healthy, motivated, and connected.
How we built it
To create FitFriends, we wrote a REST API with Node.js coupled with MongoDB for storage. Our Backend API is hosted on Google App Engine, while our frontend is a Single Page Application written in Vue.js.
Challenges we ran into
Challenges we ran into include configuring our app to be deployed on Google App Engine, planning out all the endpoints and requests, and structuring our app to handle requests and responses efficiently. One of the most challenging problems we faced on the frontend was implementing the robust filter system. There were many edge cases that we had to consider.
Accomplishments that we're proud of
We were able to implement almost all the features we discussed during our brainstorm. We even added extra features such as different user accounts. Our web app and backend are fully functional and integrated with industry standard technologies and practices. We’re really proud of being able to configure and host the entirety of our application on highly scalable cloud services, such as MongoDB Atlas Cloud, and Google App Engine.
What we learned
David - Complex backend request handling, MongoDB Atlas/Google App Engine deployment
Collin - Git, Vue.js, JavaScript, CSS, Figma
Andrea - Vue.js, MongoDB, URL routing, reactive web pages
What's next for FitFriends
Big things are coming for FitFriends! We plan fully fleshing out the features to our web application, as well as creating Android and IOS versions of our app to integrate with our existing REST API.
Stay tuned because FitFriends is coming to an app store near you :)
Built With
express.js
github
google-app-engine
javascript
mongodb
mongoose
node.js
vue.js
Try it out
thedavl.github.io
github.com | FitFriends | FitFriends is a web app that allows friends and family to create, share, and explore workouts online. Find new routines, share what's been working for you, keep in touch with all your fitness friends! | ['Andrea Dang', 'David Lee', 'Collin Dang'] | [] | ['express.js', 'github', 'google-app-engine', 'javascript', 'mongodb', 'mongoose', 'node.js', 'vue.js'] | 57 |
10,512 | https://devpost.com/software/automl-bot | Inspiration
Deeplearning.ai
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for AutoML Bot
Built With
azure
natural-language-processing
python
pytorch
react
Try it out
github.com | AutoML Bot | An AutoML chat bot to create an enhance ML education experience. | ['Anas Awadalla'] | [] | ['azure', 'natural-language-processing', 'python', 'pytorch', 'react'] | 58 |
10,512 | https://devpost.com/software/mingle | Inspiration
We all felt very lonely this last quarter and over the summer. We can't go outside, we can't meet our friends, and we can't meet new ones!
What it does
You sign up on our web app using your email, and you fill in a bunch of information. Your graduation year, interests, classes, major, etc. We query our database in order to match you up with friends who most closely resemble your profile! Then, you can chat with them in the messaging app. You can also create study groups with people who share classes with you, so you never feel left out of a class!
How I built it
We used Google Cloud Firebase throughout the entire project. Our database is hosted on Google Cloud Firestore, and we have back-end python code that interacts with our front-end react code in order to communicate with Firestore (using custom-built APIs in Flask)! We also use Firebase Authentication for user sign-in, so getting started is as seamless as possible.
Challenges I ran into
Getting the authentication setup for Firebase was a challenge and in the beginning, it seemed like it wasn't working no matter what I did. After a bit of tinkering in the system files and a little bit of ingenuity, however, we were able to get a fully-functional Firebase application up and running!
Accomplishments that I'm proud of
Getting a mini social-media app working in less than 24 hours is a feat to be proud of! I am also very proud of how quickly our team was able to pick up new technologies and implement them into our code.
What I learned
Starting this project, I had no knowledge of Firebase, Firestore, or Flask (all three of which I learned and implemented in the backend myself). I am astonished by how simple and intuitive everything is to work with once setup is complete!
What's next for Mingle
Messaging on Mingle is fine, but what if you could use your phone and enter into a virtual VR space and meet the person you just matched up with? This was an idea that we had, but didn't have enough time to implement into our idea. The general idea is a meeting place for your friends, study group, or maybe even office hours!
Built With
google-cloud
google-cloud-authentication
google-cloud-firestore
node.js
python
react
Try it out
github.com | Mingle | With COVID influencing all of our lives, making meaningful connections with your peers is harder than ever. That's where Mingle comes in. We match you up with people of similar interests! | ['Sathvik Chinta', 'Kashish Aggarwal', 'William Nguyen', 'William Nguyen', 'sandyn-c C', 'shubhkarmanSingh Singh'] | [] | ['google-cloud', 'google-cloud-authentication', 'google-cloud-firestore', 'node.js', 'python', 'react'] | 59 |
10,512 | https://devpost.com/software/bad-word-swapper | Suggestions on a website
Inspiration
As women in the work place, we have been victims of language that leaves out women, non-binary, and gender nonconforming people from the conversation. Often business “lingo” is created for men which unknowingly perpetuates gender stereotypes in work. Beyond addressing gendered phrases in formal settings, we have seen this issue expand to racially charged language that should not be common jargon in the workplace. Our tool helps remove harmful or non-inclusive language from school or work settings while educating on insensitivity.
What it does
Inform is a chrome extension that parses the text on a webpage, email, or official document. It then identifies potentially insensitive phrasing, and suggests alternative language.
How we built it
We used a combination of JavaScript, HTML, and CSS to create an interactive Chrome Extension.
Challenges we ran into
Our team was not familiar with JavaScript so we faced a huge learning curve upon starting our project. Within 24 hours, we were able to develop our bare minimum knowledge to an intermediate level with the help of textbooks, github, and mentors.
Accomplishments that we're proud of
At around 3 am last night, we were close to giving up on our dream of highlighting and changing words at a click. This morning we rallied and with vigorous work and pair programming, we were able to implement this very complex concept!
What we learned
A lot of JavaScript, regex, how Chrome extensions work. Also, learned how to program through the night virtually!
What's next for Inform
We want to build out the list of words can swap by offering users options of what they believe would fit next in that sentence.
Built With
css
figma
html
javascript
Try it out
github.com | Inform | A Chrome extension that suggests swaps for problematic language | ['Anika Padwekar', 'Isabella Abulhosn', 'Natalie Erjavec'] | [] | ['css', 'figma', 'html', 'javascript'] | 60 |
10,512 | https://devpost.com/software/joinme-ohbdkg | Inspiration
Our team noticed that planning for activities with friends and family have become increasingly difficult with COVID-19. People are hesitant to reach out and set concrete plan with the concern that their friends might be too busy or have to stay home. Spending hours to send out invitations and to hash out details for get-togethers just to find that only a few can attend is extremely discouraging and we want to change that. Our team decided to build a App to break the ice and reconnect our communities using AI technologies.
What it does
Our app acts as bulletin boards for activities and events that the users are interested in. A user can create an post by filling out a name, description, and number of slots for friends. From there, the app will identify the key highlights of the activity using google-cloud language AI and tag the post with appropriate labels. Using the labels, the app will share the post with friends that have similar interest and even provide a image that matches the activity!
How we built it
Our team built the frontend of the app using react-native with Typescript. For our backend, we used Firebase Firestore along with some google-cloud AI APIs. We also developed a project specific API using Node.js to bridge the frontend and the backend, and for filtering and formatting information between the two.
Challenges we ran into
We had a challenging time modeling highly relational dataset using NoSQL for our app. We struggled with balancing data concurrency across shared information and having fast and simple querying. In the end we decided to duplicate a small subset of information that is unlikely to change.
Accomplishments that we're proud of
We are proud of what we have built over this short time span and the new technologies we decided to explore.
What I learned
We learned how to integrate google-cloud computing tools into mobile apps and developed critical systems design and data modeling techniques.
What's next for JoinMe
Our team is excited to scale JoinMe’s backend system to withstand the strain of a large pool of users. We hope to give a multitude of students the opportunity to effectively connect and reintegrate smoothly back into campus life while using JoinMe.
Built With
firebase
google-cloud
node.js
react-native
typescript
Try it out
github.com
github.com | JoinMe | AI-based Event Planning App for Fostering Organic Connections | ['Zizhen Song', 'Samuel David Berensohn', 'Grant Williams', 'Wesley Lam'] | [] | ['firebase', 'google-cloud', 'node.js', 'react-native', 'typescript'] | 61 |
10,512 | https://devpost.com/software/spare-to-care | Inspiration
With 2020 presenting the world with increasingly difficult challenges, various social movements have become more relevant than ever. As we thought about the role technology plays in advancing social discourse and the obstacles that stand in the way of modern day activism, we realized the importance of educating our community on social movements and how to contribute to them. Under the current circumstances of shelter in place, giving donations to organizations remains one of the most accessible ways for individuals to do their part in advancing social movements. We decided to follow the Identity Track and build
Spare to Care
, a Google Chrome extension that incentivizes and streamlines the donation process.
What it does
Spare to Care
features an embedded button on purchase checkout pages, which gives a user the option to round up their order total from popular online retailers. Each time the user rounds up, the extra amount is added to an
accumulated total
which serves as a donation pledge. From our extension site, the user can then view information about a variety of organizations. There, users can read about the impact a donation can make and choose one to donate their pledge, which will open the organization’s donation page in a new tab with their pledge amount autofilled into the webpage.
How we built it
To build this extension, we first created a JavaScript backend that reads and extracts site data, performs calculations, adds site HTML elements to websites, and applies the chrome.storage API to store user data in a local cache. More specifically, on the checkout page of a vendor, it calculates the donation amount by extracting site data. We modified the checkout page to add a button that would allow the user to round up their purchase total and accumulate their donation. We used the chrome.storage API to store the user’s accumulated amount in a local cache, which needed to be accessed from donation sites, purchase checkout sites, and our extension site. The extension site, which appears when the user clicks a button from the extension pop-up, was built using HTML, CSS, JavaScript, and React, and is designed to have a simple, easy-to-navigate interface. Finally, we created JavaScript functions that would read data on donation sites and autofill a user’s cached donation total.
Challenges we ran into
We had trouble adding functionality to the checkout button in JavaScript, and when attempting to rewrite it html, the same result was created. After returning to JavaScript and trying many possible solutions, the button finally worked by creating the button on the webpage, then declaring the button a second time using the id of the created button. Additionally, when using a query string to pass parameters into the donation sites, at first we were unable to find the id’s for the input elements on each website. We later found that many clients allow users to pass a custom query string with ?amount= to autofill donation amounts. Lastly, one of our largest challenges was understanding the chrome.storage API, especially the chrome.storage.local.set and chrome.storage.local.get methods, which use callbacks in order to track user data across sites.
Accomplishments that we're proud of
A few components that we’re especially proud of are pre-filling the donation amount, integrating all three aspects of the extension (checkout button, extension site, and the autofill on the donation page), and the final clean look of the site.
What we learned
With three out of the five of us having never attended a hackathon before, it’s safe to say we learned a lot individually and as a team. We learned more about web design and HTML, using React to improve user interface, and the Google Chrome storage API that tracks user data and utilizes local caching.
What's next for
Spare to Care
...
We're extremely excited to launch
Spare to Care
! In the future, we hope to add more vendors and charities for users to connect with, build a profile for each user to store their personal information, and introduce a feature that stores and displays a user’s past donation history.
Built With
chrome.storage
css
html
javascript
react
Try it out
github.com | Spare to Care | A Chrome extension that accumulates and donates your spare change to nonprofit organizations. | ['Jane Lee', 'Michelle Pan', 'Rianna Campbell', 'Cindy Qian', 'Maggie Li'] | [] | ['chrome.storage', 'css', 'html', 'javascript', 'react'] | 62 |
10,512 | https://devpost.com/software/notap | our logo :)
our main screen!
Inspiration
As CS majors in school and even while working at internships, we found ourselves griping at the limitations of Google Docs, OneNote, and other note taking applications. For example, if we were taking notes in lecture or during a meeting and wanted to note down some code snippets or logic/pseudocode, it would be time consuming to format that in a readable manner. Another inconvenient situation is that if we find a great code example online that we want to add to our notes, copy/pasting code never formats well and we always waste precious time reformatting our notes to make it more readable. We finally became tired of not having a free, cross-platform option to take notes, and thus, Notapp was born :) Our goal is to provide a zen UI for users to take notes with and not have to worry about formatting code. To keep things simple for our limited time, our app only supports Python syntax highlighting and formatting, but we hope to extend this to other languages in the future.
What Is Notapp?
Notapp is a web application made specifically for taking notes. The appearance was meant to resemble the best of VS Code and Google Docs combined. We love VS Code's color scheme, so we based our icons and theme off of that. We know zen modes with minimal distractions are popular and helpful for many people. To account for that, we kept our UI simple and easy on the eyes by picking dark shades of grey for background colors. Black causes too much contrast and eye strain, and isn't the best if users use it for extended periods of time. College students and professionals alike may spend lots of time taking notes or writing documentation, so we accommodated that in our design.
Notapp has a toolbar with standard text editor functionalities e.g. bold, italicize, etc. Where Notapp really shines is when a user decides they want to type or paste some code into their document. When the user selects the code icon from the toolbar, a special text editing block opens up so the user can type or paste their code. When the user clicks out of the code block, our web app then sends the typed or pasted code to our backend which quickly parses the code block and responds with data about each token of the code block (a token being an element of the result from a compiler processing code). The frontend then receives this data and renders the text with proper spacing and tabs as well. The user can continue typing smoothly without interrupting their workflow. Finally, when a user is done taking notes, we provide the option of exporting their note as a Markdown file. They can then easily port their notes to Github, other editors that support Markdown formatting, or wherever they would like to store their notes.
What We Learned and What We're Proud Of
Text formatting is hard :(
We wrote our own text editor component because there were many limitations of existing React text editing component packages. The reason we had to write our own text editor component is because the ones that are available to use didn't work well with the way we were processing code snippets and syntax highlighting. In the future, our app would be more robust if we used an existing package that has extensive features and tweaked the source code to make it work with our syntax highlighting.
Figma and icon designing are fun but time-consuming (our logo and all the text editing icons in the toolbar were hand designed)
How We Built It
Our web application is built with ReactJS and we have a very simple Flask backend built with Python. We used PySide2 Qt modules for syntax highlighting. We were considering implementing Firebase for authentication and for user accounts, but due to the many challenges we encountered with actually building our text editor, we were unable to do so.
Challenges We Faced
Getting the text editor to display the formatted and highlighted text :(
Future Goals and Improvements
Support more languages!
Add more text editor features like inserting hyperlinks, images, etc.
Add more font options and font size options
Allow users to sign in and keep their notes on the cloud!
Built With
css
html
javascript
python
Try it out
github.com
www.figma.com | Notapp | A powerful note taking app specially made for developers | ['Agnes Jang', 'Gary Li'] | [] | ['css', 'html', 'javascript', 'python'] | 63 |
10,512 | https://devpost.com/software/heard-helping-eliminate-all-racial-discrimination-app | GIF
Shared GitHub with
info@dubhacks.co
Inspiration
Despite the Civil Rights Act, Black Americans still face brutality and unequal conditions today.
Black Americans suffer a higher rate of fatal police shootings than any other ethnicity at 30 shootings for every one million Black Americans.
Black households have 1/10 The median net worth of white households
Black Americans are living in poverty at twice the rate of their white counterparts
Black Americans constitute a higher percentage of COVID-19 Deaths
Black Americans are incarcerated in state prisons at 5.1 times the rate of their white counterparts
Once convicted, black offenders receive longer sentences compared to white offenders.
Studies have shown that people of color face disparities in wage trajectory following release from prison
While people of color make up about 30 percent of the United States’ population, they account for 60 percent of those imprisoned. According to the Bureau of Justice Statistics, one in three black men can expect to go to prison in their lifetime.
As a minority myself, as in many countries, many of have know, seen or been one discriminated based on our differences and other people and this is cause that still has not been reduced to an optimal level. With all of these points in consideration, I felt as it is my responsibility to use my productive coding skills in order to develop a high level application in order to help people be heard, avoid and act against forms of racial discrimination.
Main Features of the App
First here is the news feed in the home page tab. It allows end user to obtain powerful, unbiased and truthful sources speaking regarding the topics of race, discrimination and protests in regards to real world events and the ability to quickly view if you choose. Here you see:. Overall this section helps inform the user and spread awareness.
Here is the Petitions Tab where users are able to choose a petition they would like to support in order to help take action for those respective reasons. Some of these include justice for Ahmaud Arbery and other such incidents. Here you see: This will help users quickly take action with the quickest approach rather than scavenging the web for petitions. You can click the view button and it. Overall, this section helps the user take action against racial discrimination.
Here in the Statistics tab where you can view all the numbers the app is calculating behind the scenes to provide data in order to take action. Here you see: ... More specific data stored behind the scenes can be provided to local lawmakers, legislative officials and the towns to push for actions in those areas to help improve society as a whole. Overall, this section helps the user take action against racial discrimination.
Now we move to our search tab where we have a maps UI displaying our locations. Due to some constraints, I am not able to use a physical phone. Hence this Iphone 11 simulator displays the default San Francisco location header on the map, where otherwise it would show your location. Here, we have a text input where we can type in a location and enter to see various results. Based on the location input, we find data regarding the amount of complaints in this city. Since this app has not published any complaints yet we see 0. Using a custom algorithm with multiple data points from various apis, it estimates the amount of potential occurrences of acts of discrimination. We also see a risk level in order to help you make a decision whether you are going to avoid this location or not. We also see the amount of people in help status, which is a status you can enable in order to alert people nearby in your city to help you. Additionally, their icon will come up on the map. End users will end up seeing it and this will help others respond by going to their location and responding in numbers to that act of racial discrimination. Additionally, we see how many HEARD users there are in this city to see others in support. Over hear we see a button we can click in order to send a data point to the app to show we have avoided the location we typed in, incrementing data counters by 1 to track it. If we go out, we see this button in order to go into “help” status. Overall, this helps users avoid certain locations based on multiple data points.
Now to the last part of our app.
Here is the complaint submission form where you can submit a complaint regarding a person, individual, location and specify details regarding an act of racial discrimination. Additionally, the user can attach a photo in order to identify the person who discriminated. This will help us take action against such people and reduce racial discrimination on the back side of the app and provide this information to such organizations that do. Additionally, this data will be posted to the backend in google firebase and the cloud where the data is stored and then is retrieved in this upcoming section where all users can see the various different complaints by users in their areas.
Here we refresh and see my complaint comes up and we have a simple UI displaying this information.
I used various apis such as the news api, react-native-maps api, expo’s location api, the api provided by google firebase making the backend so easy, and various libraries for easy and efficient styling. These apis helped me make this app in such a small period of time.
That is all for this app and I hope this app can help make the world a better place.
How I built it
During the progression of this application, I built I primarily with already existing libraries which helped me style my elements quite quickly. I used libraries such as react-native native base, react-native-elements and react-native vector-icons. For the many apis I used in this project a News API creating the feed of news, react-native maps api allowing for the maps UI, the Expo permissions and locations API making it very simple to take data points using their documentation, Google Firebase API to help me use a simple post method to post my data reducing tons of time and geolocation/geocoding api that came with expo permissions. All of these apis and libraries made it easier to make a high level application in such a tight time frame. Overall, I used APIs, Location Services, Geolocation, Geocoding, Google Firebase, to create an application for people to connect, use data to make decisions to go to a certain location, alert other users around them for help and take action using petitions and the technologies provided in the application.
For alerting others, getting location and the maps UI I used the react-native-maps api, geofencing apis provided by expo and geocoding to translate a lat and long coordinates into an address and visa versa to process the address given, share location if you are in 'help mode' and alerting others if there is someone nearby who needs help.
For the news, I used News API for a feed
For the complaint form, I used Google Firebase API to store and retrieve data, which I also used to store statistics which can be used in order to take action.
Challenges I ran into
Some last second challenges I ran to was the manipulation of the database on Google Firebase. While creating the video in fact, I realize that some of the parameters were missing and were not being updated properly. I eventually realized that the naming conventions for the some of the parameters being updated both in the state and in firebase got mixed up. Unfortunately this took way to long and results in me having to cut the video up into two different sections. I stayed up until 1am and got it done. Thanks to all the great documentation and other tutorials I was able to effectively implement the rest.
What I learned
I learned a lot. Prior to this, I had not had experience with geolocation, geofencing and other location services which I found quite fascinating after I was able to fully learn them. I also learned how to upload large amounts of data to Google Firebase, which was easy with the help of tutorials, which I had previously thought was hard. Additionally, I learned new styling elements such as how to created rounded images and permissions to the images directory which I was not previously familiar with. At the beginning of this project, I did not think I would finish. However, I had learned that after you gain enough time with certain things and learn how to do it and push yourself to do it, you realize it is much easier than anticipated.
Theme and How This Promotes Social Good
Overall, this application was created in order to help reduce racial discrimination
Design
I created a comprehensive and simple UI to make it easy for users to navigate and understand the purposes of the Application. Additionally, I used previously mentioned utilities in order to create a modern look.
What's next for HEARD (Helping Eliminate All Racial Discrimination) App
I hope to create an API endpoint for the algorithm I created in order to determined the estimated occurrences of racial discriminations and calculated risk level rather than having it on the app. In the long term, this will reduce complexity if the app becomes larger.
Built With
algorithm
api
cloud
expo.io
firebase
geofencing
google
javascript
news-api
postman
react
react-native
react-native-base
react-native-elements
react-native-maps
Try it out
github.com | HEARD (Helping Eliminate All Racial Discrimination) App | Helping everyone get heard, avoid, and act against discrimination against minorities using geofencing, geocoding, location services, google cloud and apis to bring awareness to, avoid and act against. | ['Om Joshi'] | ['Powerbeats3 Wireless Earphones + WOLFRAM AWARD + $250 Digital Ocean Credits', 'First Place'] | ['algorithm', 'api', 'cloud', 'expo.io', 'firebase', 'geofencing', 'google', 'javascript', 'news-api', 'postman', 'react', 'react-native', 'react-native-base', 'react-native-elements', 'react-native-maps'] | 64 |
10,512 | https://devpost.com/software/linkup-lensgt | Onboard/Log In Page (Figma Wireframe)
Sign Up Page (Figma Wireframe)
Main Page (Figma Wireframe)
Expanded Group Selection Page (Figma Wireframe)
Create a Group Page (Figma Wireframe)
Created Group Page (Figma Wireframe)
Created Group Page ix2 (Figma Wireframe)
Selected Group Home Page (Figma Wireframe)
Requests to Join Page (Figma Wireframe)
Requests to Join Page 2 (Figma Wireframe)
Inspiration
We wanted to create a platform to connect people attending protests. Attending protests alone can feel unsafe, but it is very important to support and work for social change in light of recent events in today's day and age. As a result, we created LinkUP!, which enables users to find and connect with groups to attend protests with.
What it does
LinkUP creates a platform for people to find groups to attend protests with. Users can create profiles or groups, and can see others' groups and contact their group creator. This encourages safety while users utilize their voice in support of social movements, as well as build their own communities of like-minded people striving for social change.
How I built it
We built LinkUP! on top of this template:
https://ics-software-engineering.github.io/meteor-application-template-react/
. We then extensively edited the template to craft it into the desired website. Our code was almost entirely in JavaScript and the rendering library we used was React. For maps, we used the Maps JavaScript API. Our design images were built with Figma.
Challenges I ran into
We had originally hoped to make it possible to join groups inside LinkUP!, with each group's creator being able to vet requests to join the group from other users. Unfortunately, we could not find an approach to successfully implement this in the timeframe. None of our team members had much experience with using Semantic UI React, so we found it very difficult to implement our original UI/UX design onto the website in 24 hours.
Accomplishments that I'm proud of
We were proud to have created a website with appealing visuals and a reliable system that helps connect advocates for social change and facilitate a stronger community for safe protesting. This provides just one further avenue helping people bring about social change in the society of Washington, America, and beyond.
What I learned
We learned that it's very important to tackle the most complicated or difficult features of our project early on, especially in a hackathon. In particular, we attempted to make it possible to join groups inside LinkUP! later in the development process and were not successful in doing so. It may have been possible had we begun earlier and devoted more resources to this challenging task, even if it had seemed a bit out of order. Likewise, if we had realized this was not possible within 24 hours early on, this could have altered the trajectory of LinkUP! significantly.
What's next for LinkUP!
The next step for LinkUP! is to make it possible to join separate groups within LinkUP! and for the creator of those groups to approve or deny the requests of others to join the mega group that was created. This would allow LinkUP! users to join groups, coordinate locations, and thus set up protests completely internally, without having one's contact information made public to other users. From there, we would like to create recommendations for where a group should meet by finding parks, malls, or cafes near the geographic average of all of the users within that group. We would also like to only display users for groups that one is in to protect user privacy, which is possible now that we have the information of the users in each particular group. We would also like to implement a chat box feature in the group pages, where members of the group can improve communication among each other.
Built With
css
figma
google-cloud
google-maps
html
javascript
meteor.js
mongodb
node.js
react
Try it out
github.com
link-up-dot-linkuphack20.wl.r.appspot.com | LinkUP! | A web app for social advocacy, safety, and community. | ['Daniel Miau', 'ayc12345', 'Jason Miller', 'ashleyvvang Wang', 'Arslan Rakhmankulov'] | [] | ['css', 'figma', 'google-cloud', 'google-maps', 'html', 'javascript', 'meteor.js', 'mongodb', 'node.js', 'react'] | 65 |
10,512 | https://devpost.com/software/instant-chats-29pruj | Home Page
login signup
Video calling
Inspiration
Various organisations are struggling to work together due to work from home norms. Also family relations were being affected due to Covid19.
What it does
It bridges the communication gap that occured in the community due to the pandemic through chat/call/video-call.
How we built it
We used HTML CSS JS for Frontend and PHP MYSQL APIs for back-end. Python JS For Chatbot.
Challenges we ran into
As our team members were working remotely we were unable to help each other out efficiently. Also we had some problem while setting up video call feature.
Accomplishments that we're proud of
Video-call/Voice-call/Attractive UI/Instant Chats
What we learned
We learned the concepts of communication and network engineering.
What's next for instant CHATS
We'll upgrade our databases to more efficient hosting service.
Built With
apis
chatbot
css
html
javascript
mysql
php
python
Try it out
github.com
instantchat.epizy.com | instant CHATS | We are aiming for a messaging app where a person can use both his personal and officework.He can message video call and fileshare. an office can setup their own group where every member can fileshare. | ['Shubham Nagpal', 'Amit Singh', 'Prakash Rajpurohit'] | [] | ['apis', 'chatbot', 'css', 'html', 'javascript', 'mysql', 'php', 'python'] | 66 |
10,512 | https://devpost.com/software/covid19-bedchecker-mfhlv2 | landing page
signup
portal
Inspiration
We felt the difficulty covid19 patients face as they have to visit to hospital to check whether any bed is vacant in the hospital, if there's nil then the patient has to reach another hospital which creates problem for patients as well as hospital staffs.
What it does
Our web application allows hospital management to directly feed number of beds available and it is being added dynamically into the map. Patient can access this map to see the availabilty of beds in his/her region as well as get directions to the hospital.
How we built it
We used Bootstrap for front end and php for backend and ms-sql for database. We used python and jquery for chatbot. We used pandas streamlit for creating maps and displaying values.
Challenges we ran into
Hosting our data science web app was a bit tedious for ous.
Accomplishments that we're proud of
User can zoom in till he/she sees every streets and the hospital name and number of beds available and availabilty of ventilators.
What we learned
We learned new python libraries that we are looking forward to implement in future as well.
What's next for Covid19 BedChecker
Tying up with hospitals to get real time data, instead of a data set.
Built With
chatbot
css
html
jquery
pandas
php
sql
streamlit
Try it out
github.com
apexxcovid19999-com.stackstaging.com | Covid19 BedChecker | Through our web app a patient can check the availabilty of number of beds availabe for covid patients along with exact location and can filter out the hospitals containing ventilator options. | ['Amit Singh', 'PRAKASH SINGH'] | [] | ['chatbot', 'css', 'html', 'jquery', 'pandas', 'php', 'sql', 'streamlit'] | 67 |
10,512 | https://devpost.com/software/coachally-interactive-virtual-classroom-video-calling-app | Assist feature
CoachAlly Home page
User's can easily seek guidance , report bugs
Seek guidance with in-app screenshot&doodle feature instantly
Video Call
AR Classroom
Broadcast Mode
Inspiration
During these pandemic days, our team too are facing issues while learning through online portals. So our team took a
step forward in resolving the common issues and further improvising it.
What it does
CoachAlly application helps in creating interactive virtual classrooms using the latest technologies like
Augmented Reality
and creates room for the virtual classroom through
high-quality video calling
with a low-latency experience.
Augmented reality in education is surging in popularity in schools worldwide. Through AR, educators are able to improve learning outcomes through increased engagement and interactivity.AR features aspects that enhance the learning of abilities like problem-solving, collaboration, and creation to better prepare students for the future. Teachers can include custom AR objects and pre-recorded lecture videos which help students view course materials at the ease of their home.
Live sessions can be held virtually through the class meet option. We have designed a one-step join meeting keeping in mind of young students. App seeks only the meet code and doesn't collect other credentials thus improvising the privacy of end-user.
We have also integrated an
ASSIST
feature which guides the users step-by-step if they either need a walkthrough on a feature or if they encounter a bug. Our main advantage of this feature allows users can make use of an in-app screenshot feature with a doodle option on board with ease to contact the admin/developer hassle-free.
How I built it
Came across the
Flutter
technology recently and since then was caught up with it. We are
amateurs
and this is our first big step upfront on solving the problem with it.
We have approached our problem with Flutter which makes the app run natively on all platforms. The UI is made with help of google's material UI. The video call runs seamlessly with the help of agora as backend. The feedbacks, assist is done with the help of wiredash which provides instant messages which the end-users provide.
Would thank our sponsor echo-AR which helped us integrate AR seamlessly with our app.
CoachAlly is a light-weight app which is available across various platforms
-
Mobile platforms- IOS, Android
Desktop app-MacOs, Windows, Linux
Web app- Across all browsers
Challenges I ran into
We came across many challenges as this our first big approach using Flutter. We thank the mentors who took the time to help us. Students get insights on concepts& better understanding with AR & am proud to be a part to contribute to the global community.
Accomplishments that I'm proud of
We are very proud of the big leap which we dared to attempt has come out a bug-free working app in a short span of hours.Have learned many skills way from starting of the Hack. We learned to face the challenge by short days to give the best outcome of our app.
What's next for CoachAlly -Interactive Virtual Classroom & Video Calling app
We aim to increase security and add feature-rich contents and make our app more accessible to all age groups.We plan to improvise our app consistently for best end user satisfaction.
Built With
agora
ar
cupertino-ios
dart
echoar
flutter
materialui
Try it out
github.com | CoachAlly -Interactive AR Virtual Classroom & Video Call app | CoachAlly application helps in creating interactive virtual classrooms using the latest technologies like Augmented Reality and creates room for the virtual classroom through high-quality video calls. | ['Sudir Krishnaa RS'] | [] | ['agora', 'ar', 'cupertino-ios', 'dart', 'echoar', 'flutter', 'materialui'] | 68 |
10,512 | https://devpost.com/software/crimepredict | prediction for December 21 at 01:00 in the morning.
Prediction for December 21 at 21:00 in the evening.
Our neural network
Our FrontEnd
Visualization of dataset
Crime Predict
Commute safely.
What it does
Crime Predict is a website that leverages historical Seattle crime logs to inform you on where historical crimes have occurred the most often as well as leveraging a custom neural network to predict where crime might occur next. Our network has been trained on date and time of day to predict future crime.
Our inspiration
Safety is a big concern for us (and something our parents constantly nag about). We wanted to be informed of which places have been historically dangerous and where future crimes are most likely to occur both on campus and during our commute.
How we built it
We built this website using React and Python using:
PyTorch
A
Flask
integration
Nvidia GTX 2080ti
Coffee
Challenges we faced
Custom Neural Net Parameter Tuning
Heatmap generation
Front-end to back-end communication
The dataset
Our dataset was provided for public use by Seattle
here
. It contains police reports for the past 12 years (nearly 90000 entries). We focused on location and start time and performed some minor data sanitation.
Visualization of crimes from the Crime dataset since 2008.
Custom Pytorch neural net
Our app uses a custom fully-connected neural network to predict the position of future crimes. Due to the short nature of this hackathon, we felt creating a demoable version with as simple a network would be the best (and might even help others learn). Despite its simplicity, tuning the network proved a significant challenge. We retrained it over 100(our visualization jupyter notebook says 164) times with different hyperparameters and structures.
Our network structure illustrated!
We trained with an Adam optimizer and learning rate of 0.00003 and batch size of 64 for 4 epochs. Training was extraordinarily sensitive as the networks would either underfit and still be a linear function or overfit and be centered on Seattle's downtown.
Heatmap generation
Predicted crime for December 21 at 01:00 in the morning.
We used google cloud's map widget at the core of our project. We created a jupyter notebooks visualization script as well as integration into the final website. The widget has the capability of generating heatmaps which look quite beautiful. Using google maps specifically, we can take advantage of streetview to view predicted locations and explore environments.
Predicted crime for December 21 at 21:00 in the evening.
Our Website
Accomplishments we're proud of
We like the results of our trained neural network. While it is not the most robust, it still surprised us with its performance. Two of us are also first time hackers and learning how to use Flask and integrating with a PyTorch application has been amazing.
What's next for CrimePredict?
more robust heatmap prediction with U-Net
a more interactive frontend for users to explore our network's predictions
avoid becoming Minority Report
Built With
flask
google-maps
python
pytorch
react
Try it out
github.com
github.com
docs.google.com | CrimePredict | Commute Safer | ['orienxu', 'Daiwei Lu', 'jing-s-1218'] | [] | ['flask', 'google-maps', 'python', 'pytorch', 'react'] | 69 |
10,512 | https://devpost.com/software/hack20_rooms | Rooms
Background
The idea came to my mind through my experience in TAing during Spring quarter (the first one with all online classes). I found it really frustrating that zoom doesn not allow us to monitor multiple rooms in a meeting at once, we have to keep switching between them. This detracts from learning as it is further away from an in-person class. Usually the TA / Instructor would have a view of all the students at once.
The Process
This idea sounded really cool but I had zero experience in backend development of any sory, let alone linking frontend and backend and on top of that, establishing peer to peer connections. I did manage to get the chat working, so users can join without a login. All they need is their username and the room name they want to join and they can start chatting! The video however did not work due to my lack of experience, it works for one room and separate from the main webapp but I was unable to integrate it. Overall, I got way to ambitious for how much I could do in one day based on my skill on the topic.
Objective
There is a lot of tracking involved in almost all web services we use and that continues to increase every day. My aim with this was to create an app which stores nothing, not even on your own device and provides a really fast and simple way to communicate with large groups of people. Mainly addressing the issue I mentioned in the background (although I was unable to finish it).
Future Ideas
I will be working on this in the future and look into open source APIs for WebRTC rather than trying to work out one on my own. Quality of life features like admin control, file / image / link embeds in the chat, list of active users are something which will be worked upon in the future. Personally, I feel that making something of this scale in 1 day is difficult (just my opinion)
Built With
css
django
html
javascript
python
shell
Try it out
github.com | Rooms | Chat with your friends and hold video conferences without the worry of tracking | ['Namit Singh'] | [] | ['css', 'django', 'html', 'javascript', 'python', 'shell'] | 70 |
10,512 | https://devpost.com/software/avoid-the-crowd-0igvcf | Avoid the Crowd
Avoid the Crowd is a full stack web application that assists users in finding places of interest that are the least crowded. We wanted to create this app, especially during this pandemic, because we want the general public to find places where they can safely pick up groceries, get food at restaurants, and much more. After looking through many services, we were unsatisfied with the current functionality that they provide.
How to Use
The user can type in a place of interest they want to find. Once they search, our app returns up to 10 of the closest locations in order of busyness from least to greatest. Busyness data is gathered from number of cell phone signals in the area. From there, the user can look through the listings, each of which contains the name, address, a photo, and how busy the location is.
Languages and Tools
Languages: JavaScript, Python, HTML, CSS
Tools: Node.js, Flask, Google Maps API, BestTime API, React Library, Material UI
Credits
Created by Nitesh Chetry, Samuel Kim, Joon Kim, Ali Byott, and Brian Tran
Built With
besttime-api
css
flask
google-maps
html
javascript
material-ui
node.js
python
react.js
Try it out
github.com | Avoid The Crowd | Ever went grocery shopping or to your favorite Thai restaurant, only to find out it's way more crowded than you thought? This app tells you how busy nearby places are, so you can know before you go! | ['Brian Tran', 'niteshchetry Chetry', 'byotta', 'SamuelYJKim'] | [] | ['besttime-api', 'css', 'flask', 'google-maps', 'html', 'javascript', 'material-ui', 'node.js', 'python', 'react.js'] | 71 |
10,512 | https://devpost.com/software/nexttask | Figma workspace containing the frames I used for my project
For the no-code parallel to the quarantine track.
Designed a desktop app interface in Figma (vector/image manipulation program) that tells users when their next thing is due and how many hours they have left until their thing is due.
I think I'll continue this project on my own time and build a working version for myself to test out, because the code seems fairly simple.
If I were to do this myself, I would build it around a queue to store the activities I input, and I would figure out how to have mobile devices interact with my desktop app.
Built With
figma | nextGoal() | Simple app that reminds you what you need to do next | ['Ryan Lee'] | [] | ['figma'] | 72 |
10,512 | https://devpost.com/software/dawg-dash | Inspiration
We wanted to support our local restaurants on the Ave! Today, we face the problem of overcharging from delivery apps, such as DoorDash which charge upwards to 20% on delivery orders. This proves to be a barrier to students ordering food at night. Our business model works to lower the cost so that customers are more encouraged to order food from local restaurants and support them altogether!
What it does
Our idea centers around the business model of localized food delivery system, where students can deliver food from restaurants on the ave to other students near/on campus. Our system of localized food delivery lessens costs, making it cheaper to order food from our app as opposed our delivery competitors! This will help attract more customers who are willing to support local restaurants. In addition, we charge less for each delivery. This means that these local restaurants can maximize their revenue!
How I built it
We build this website from scratch using html, css, and javascript to simulate what the flow of it would look like in practice.
Challenges I ran into
This was everyone's first time doing a project beyond the scope of classwork, so we had to pretty much learn all the tools mentioned above from the ground up. We had some big ideas but then found out that the technology required was a tad bit out of our caliber, and by a tad we mean we didn't know anything.
Accomplishments that I'm proud of
Honestly, the way our group was able to come up with a lot of ideas and basically learn the essentials of website building in less than a day was pretty impressive.
What I learned
We learned the basics of front end development
What's next for Dawg Dash
We hope to use backend tools to actually store account/user information. In addition, we hope to make our website much more prettier and more complete.
Built With
css
html
javascript
Try it out
gitlab.cs.washington.edu | Dawg Dash | Living near campus? Grab a BYTE from our localized system of campus food delivery by students! | ['Dewey3K Tou', 'Melissa Lin'] | [] | ['css', 'html', 'javascript'] | 73 |
10,512 | https://devpost.com/software/password-manager-1y974c | Inspiration
What inspired our group to create this password manager is the increase in things being done online and from home. It is important to keep your account passwords secure, and since people now have stuff such as zoom accounts they need to keep secure it is important for us to make sure that our passwords are strong, and managed well.
What it does
This program can create a password-based off of user specifications, evaluate the strength of user passwords, and it can store and manage passwords from the user.
How I built it
This program was built in Java. There are 4 main parts to this project, the password class which is in charge for creating, and evaluating the strength of the password, the password manager which is in charge of storing the password into a hashmap, the encryption part which encrypts the passwords, and the driver which brings it all together.
Challenges I ran into
Some challenges that we ran into as a group was figuring out how we wanted to design the program together as a group. This was a challenge for us since everything is done online it is very hard for us to show and visualize what we are trying to say, but eventually, we realized we have many tools that we can use to communicate and show what we're trying to do.
Accomplishments that I'm proud of
We are proud of the fact that the passwords that are stored in the manager are encrypted using AES encryption and the master key for the Password Manager is stored as a hash using the SHA-256 cryptographic hashing function.
What's next for Password Manager
The next thing for the password manager is that we need to have it so that when evaluating passwords we need to evaluate the password to see if it contains any words or names. Additionally, we need to figure out how to clear the master key for the manager off the console since we don't want that to be out and open.
Built With
eclipse
java
Try it out
github.com | Password Manager | With the move to everything being done online and from home on quarantine it is important to have strong passwords and a safe place to store them all | ['Victor Ly', 'joseapalomera Palomera', 'Saahil Vasdev', 'Gurjepaul Brar'] | [] | ['eclipse', 'java'] | 74 |
10,512 | https://devpost.com/software/test-ouxd03 | Inspiration
What it does
How I built it
test
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for test | test | tagline | ['Dub Hacks'] | [] | [] | 75 |
10,512 | https://devpost.com/software/fat-penguin | Inspiration
As we interact in a ever-virtual world, we tend to lose the human-to-human connection we get in-person. Especially with classes being moved to Zoom and Panopto, we feel that we are unable to connect with our peers, even when we are faced with the same coursework. Thus, we created Fat Penguin. Fat Penguin, "the leader in breaking the ice," strives to make our online world more interactive in order bring back some of the connectivity.
What it does
Fat Penguin is a simple web app that allows TAs, teachers, student leaders, and other zoom organizers to group their students/participants into smaller groups in order for them to get to know each other. But instead of having them talk, often leading to muted mics and no video, we wanted to make everyone comfortable interacting by having complete a quick and fun survey. The questions range from "Would you rather eat odorless expired ice cream or smelly pizza?" to "What is your favorite sport." These silly questions would then be quickly analyzed in order to group students of similar hobbies/interests so they can feel more comfortable talking online. How we analyze this data would be by categorizing questions and marking answers to group students of similar interests but differing opinions (on expired ice cream or smelly pizza) because we felt that this combination of traits would bring the most conversation. A cool feature we implemented is a canvas tool that allows students/participants to draw and later share their creation with their small group to have a quick laugh at computer art. We limited the time allowed on the survey to keep this process quick (5 mins) so teachers don't feel that they are wasting precious class time.
Challenges I ran into
Brainstorming ideas took more time than anticipated many of our ideas overlapped with Covid solutions had been established in the past months. Our ideas being less original than anticipated forced us to take time to zoom out as a team looking at our personal feelings. Where did we feel we lacked? Like many students peer connections was hard in online class. How can that be alleviated? We figured that if we attacked the problem right off the bat with first day of school/work icebreakers then people would feel less awkward, from there Fat Penguin was born. As we begun challenges arose when working with integrating our desired features. Designing a functioning canvas tool proved difficult, in addition to this integrating it into the website pushed our skillsets. However, persevering through these hurdles made way for a host of possibilities elaborated on in 'What's next for Fat Penguin'.
What's next for Fat Penguin
What we believe can be done to improve the program is to bring out more customization for teachers and TAs to create their own questions, own grouping algorithm, and own group sizes. This hopefully will become a tool that we see in virtual classrooms and having the same penguin questionnaire would not be exciting so expanding our database of questions and drawing prompts to allow for more variety is also something we have in mind. We truly believe that peer-to-peer connections are one of the most valuable parts of education and with the current technology, this interaction is greatly limited, not enhanced. Fat Penguin will restore these lost connections to have students feel more engaged and supported in their educational path.
Built With
css3
figma
html
javascript
Try it out
drive.google.com | Fat Penguin | With Zoom University becoming the norm, Fat Penguin is a program that allows for a more interactive ice breaker using zoom. | ['Yui Suzuki', 'Toma Itagaki', 'Yukito Shida', 'Osbert Lee', 'Evan Siu'] | [] | ['css3', 'figma', 'html', 'javascript'] | 76 |
10,512 | https://devpost.com/software/rantangin | Inspiration
Inspired by one of the gojek services, gofood, which serves a wide variety of foods and drinks. But what makes the difference with rantangin is home cooking that is certainly healthy, full, and full. There is a halal label for Muslims.
What it does
connecting for anyone who wants to sell their food and drinks with rantangin. especially women, namely empower women
How we built it
Using php native with css, bootstrap, jquery, etc
Challenges we ran into
connecting with google map api is difficult
Accomplishments that we're proud of
Working Location-Based Service Scalability Working App
What we learned
Build an app in a short time Practical Cool API
What's next for Rantangin
release app mobile android and ios
Built With
bootstrap
css3
html5
jquery
php
Try it out
xhandar.xyz | Rantangin | Full, healthy and delicious | ['Hamdani Santoso', 'Al Bahzaa', 'Riyan Sanjay', 'Wahyu Hidayah', 'Dimas Eka W'] | [] | ['bootstrap', 'css3', 'html5', 'jquery', 'php'] | 77 |
10,512 | https://devpost.com/software/healthrific-your-health-pal | todo
Built With
bluetooth
dart
flutter
Try it out
tiny.cc
github.com | na | no | ['Anubhav Sinha'] | [] | ['bluetooth', 'dart', 'flutter'] | 78 |
10,512 | https://devpost.com/software/project-blue-light-fl08ro | Inspiration
Due to the increase in reported cases related to human trafficking, we created a platform where anyone can educate and ensure the utmost safety. With the Project Blue Light App, we aim to put a “stop” to this crisis. We offer self-defense courses and one-tap location trackers that local authorities and family members can access on hand. Project Blue Light will save lives!
What it does
Project Dove has features like safe spaces, location tracking, self-defense classes, a news feed, and ways to help human trafficking in the United States. Our app is comprehensive and combines many of the features already in apps, but improves them by adding preventative measures and connects information to local and federal authorities and databases.
How I built it
We built the prototype using Figma.
Challenges I ran into
We ran into issues with scrolling features and making the Danger setting accessible, but we tried to make it as easy for the user as possible.
Accomplishments that I'm proud of
We are proud of our design and how much we improved it over the few days. We are extremely excited about our location tracking feature and emergency aid access.
What I learned
We learned basic CSS and how to use Figma, as well as information about location tracking.
What's next for Project Blue Light
We would definitely take some features and integrate them in order to simplify the prototype and make it more feasible and seamless. Next, we would actually create the app and add the features that we included in our prototype.
Built With
css
figma
github
Try it out
www.figma.com | Project Blue Light | A proposed app that allows the public to educate, report, and ensure safety to combat the human trafficking crisis. | ['Avia Xin'] | [] | ['css', 'figma', 'github'] | 79 |
10,512 | https://devpost.com/software/eleutherios-tz9pow | Business cooperation model
Inspiration
Eleutherios
(https://eleutherios.org.nz)
is a global cooperative forum or circular economic system, that goes beyond the old local or linear economic system or tight coupling, implied by a single supply chain.
For example, if a person wants to access food or a new house, they have to serve or participate in the financial supply chain system first, in order to receive the food or house.
Business (finance) --> Customer (request e.g. food, house)
What it does
Eleutherios, removes this tight coupling, by inverting or delegating the customer’s request to the business or supply chain system, instead.
Customer (request) --> Business (food, housing)
By, putting the customer or request first, we can scale the request or invite more than one service or supply chain (food, housing) to help serve or manage the request or conversation.
For example, if a person or customer was hungry and isolated at home, they could register with Eleutherios through it’s website and create a forum or request, for some food. A grocery store owner could register as a service in the website and subscribe to the forum and ask the person what food they wanted? The grocery store owner could gather the food from their store and scale the forum by creating a sub-forum for a healthcare worker, to help with the delivery of the food. The healthcare worker could scale the sub-forum again and create another sub-forum for a delivery service and accompany the delivery service and be the person that delivers the food to the isolated person.
Forum (Food)
Service (Person or customer)
Service (Grocery store owner)
Forum (Healthcare worker to deliver food)
Service (Healthcare worker)
Forum (Delivery service to deliver food)
Service (Healthcare worker)
Service (Delivery service)
Eleutherios, scales the forum or conversation, that people or businesses are having, not the service or work, that they are trying to perform. People or businesses, still provide the same product or service in the world, but within the same conversation as other products, services or supply chains.
How I built it
Eleutherios, is built with an HTML/javascript (Angular) frontend and node.js (nosql/firebase) backend.
Circular tools or features:
Forum in forum (redundancy/resilience)
Tags for filtering forums or services (searchable)
Alerts to keep end users informed when new forums or services are created in the system (notifiable)
Blocking to prevent unwanted services or users from serving in forums they have been asked not to serve in or for requesting services, they have been asked not to request (accountability)
Service ratings/reviews (accountability)
B2B or shared processing (scalability)
AI (automatable)
Challenges I ran into
https://github.com/aletheon/eleutherios-alpha/issues
Accomplishments that I'm proud of
Discovering that forums can be automated using ML (machine learning). For example, ML can learn the behavior of services and what requests they are likely to make, and make them ahead of time. This is useful in pandemics, where the system can provision, face masks or respirators.
What's next for Eleutherios
1) Complete MVP
2) Create User guide, including how-to videos
3) Test the system
Built With
angular.js
firebase
html
javascript
node.js
Try it out
eleutherios.org.nz | Eleutherios | Global cooperative forum or circular economic system | ['Rob Kara'] | [] | ['angular.js', 'firebase', 'html', 'javascript', 'node.js'] | 80 |
10,512 | https://devpost.com/software/twittercheckin | FriendWeb/Output
twitterWolf
I created this project for the Hack'20 hackathon. It uses wolfram and a classifying AI to detect sentiment in the user's twitter feed. This would help in quarantine because we don't get to see how our friends are doing anymore. With this application, you could accomplish this with a few clicks.
I Almost called this project Musk Sentiment Detector(Due to the default value of my user), but really wanted users to be able to input their friend's usernames and find out how they are feeling.
I was able to accomplish this, however, it is not exactly how I envisioned it.
The program I have here is built using wolfram. I loved this new notebook-style programming and being new to it learned as much as I could to be successful. I could not get my AI to work on the wolfram cloud and so I converted it to a simple one and done input. If I had more time I wanted to add a control loop and create a more friendly user interface, but I worked on this project for as much time as I had. It was really fun. I will continue to work with this application until I have what I originally envisioned.
Built With
mathematica
wolfram-technologies
Try it out
github.com | Twitter Wolf | E.Musk Sentament Detector | ['Damon Marc Rocha II'] | [] | ['mathematica', 'wolfram-technologies'] | 81 |
10,514 | https://devpost.com/software/solarforce | Solar Force App Overview
Home
Dive in
Onboarding
Sci-Fi
Inspiration
The app design is inspired by the fast evolving technologies, discoveries and developments involving travel within the solar system. This depiction of space in the app was inspired by the idea of space travel as portrayed by George Lukas, the creator of the
'Star Wars'
series.
What the App does
We'd love to fly you off to outer space. But...we don't have a rocket yet! Here we're doing the next best thing, using Earth-bound technology to explore space. The app brings you closer to outer space with real-time and historical audiovisual experiences and information. It is an interactive platform for the space enthusiast, to dive deeper into the unknown. This is done through a blogging platform which takes a look at numerous blogs and articles related to outer space, from UFO sightings to quantum physics.
How We Built Solar Force
Starting with the UI design, once the right color pattern and an estimate of the pages were confirmed, the text format was decided keeping in mind the need to maintain consistency and also be diverse in giving the user a varied display of different formats and customisations, for different blogs and information pages. We then started working on the Flutter application and incorporated widgets that best suited our ideas.
Adding a tad bit of animation has made the app more dynamic and interesting. This has been a part of our building process so as to help the user engage at a deeper level. The user interface is more than just for blogging, it gives you a full-fledged starry space experience.
Challenges
The biggest challenge we faced was in bringing to life all our app designs in a span of 2 days. Rendering short clips, specific to the animation used in the interface was also a new domain to explore but certainly worth the outcome.
Accomplishments
We were able to adhere to the theme of
AppSprint
and brainstorm additional features to a micro-blogging app like videos and the idea of listening to music while reading or writing, while keeping in mind the main goal of the app, i.e., to give our users a 'space experience' , this is definitely considered as an accomplishment to us.
What we learned
Aside from gaining a lot of knowledge about Space ourselves from the research done for implementing our ideas, we learned many new concepts involved in UI designing and Flutter development, like optimising user experience and making the interface more engaging and learning new widgets on Flutter to implement our ideas.
What's next for Solar Force
The music playlist feature of the application could certainly be revamped to be made functional, this would certainly be our first pursuit. Adding a text editor and blog layout modifier could also be incorporated into the app in the future. This project certainly has a lot more scope in terms of bringing all our ideas to life by making use of more advanced widgets in Flutter to animate basic UI designs. We would also certainly work on the unique AR feature and implement that into our application as well.
Fly amongst the stars and glide amongst the plants with Solar Force !
Built With
dart
figma
flutter
Try it out
github.com | Solar Force | The Planets Align Here | ['Ishita Datta', 'Shloka Reddy', 'Nidhi Raniyer'] | ['Best UI Design'] | ['dart', 'figma', 'flutter'] | 0 |
10,514 | https://devpost.com/software/aight-8nk956 | Sign In Page
Sign Up Page
Home page
Upload Page
Profile page
Delete pop-up
Inspiration
While developing this app we had an approach to make this app as easy to understand and minimalistic as possible. Our app aims to provide a platform for users to submit anything which can be put down in words without the social norm of acceptance through likes or comments. In the world where social media has become a platform where we seek acceptance and approval without which many of us feel disheartened we wanna provide a platform where one can submit anything without seeking approval through likes or comments which helps users to express themselves without any constraints.
What it does
We have a very basic user interface where there is a simple sign up process after which the user can view write up's posted by others and can themselves post anything by simply adding a title and writing down what they wanna express. With the post the user has added, only their username will be displayed which can be anything the user wishes thus protecting the privacy of the user. There is a profile section where the user can view the posts they have put up and delete any post by long pressing on the post.
How we built it
We first designed the layout of the pages using figma, after we were satisfied with the look of the app we made the layout in android studio using XML. We then made it work using JAVA.
Challenges we ran into
Figuring out how to get the context for functions, such as alert boxes.
This being the first time we worked with android studio and figma there was a lot figuring out to do.
Accomplishments that we are proud of
Actually making a legitimate app that can be used in real life and functions as intended; on our first try.
Being more productive during the lockdown.
What we learned
Learned how to make better layouts using XML.
Learned basics of app development.
Using realtime databases for storing information.
What's next for AiGHT
Adding new features like personal feed, viewing other profiles, password recovery, email validation, timestamps for posts, subscriptions/following and overall improvement.
Built With
figma
java
parse
xml
Try it out
github.com | AiGHT | A minimalistic microblogging app that provides creative freedom without social constraints. | ['kulachi Th', 'Namith Telkar', 'Arnav dewan'] | ['Best App Developed'] | ['figma', 'java', 'parse', 'xml'] | 1 |
10,514 | https://devpost.com/software/presta | Profile Page
Feed
Comments page
Hashtag page
Inspiration
Every person at some point in their life, thought they could start a blog, to be specific, a fashion blog. In the age where everyone has a mobile phone in their hand, not many like blogging over a website. A simple micro-blogging application that can allow users to share their stories and inspire others was just what we needed.
What it does
We have developed a fashion microblogging application where designers can come for inspiration. It consists of four pages, one, where we get all the posts from the people we are following, the second would be the search page where we'll find the latest and trending designs and the third is our profile page with our posts, our display picture and our number of followers and following. When we tap on a post, we can see all the comments and insights shared on that design for a better community feedback and also give a like to show our support. Our design focused on the simplicity of the UI and how it would be easy for anyone using the app to get better ideas about the latest fashion trends.
What I learned
This is the first time ever to try and make an application and work with Adobe and android development. I have learned a lot and probably even developed a liking for UI/UX designing.
What's next for Presta
We'd like to improve the design, and impart more features to the application.
Built With
adobe-xd
dart
flutter
kotlin
Try it out
github.com
drive.google.com | Presta | One stop destination for fashion bloggers - an app with simple yet effective UI for fashion enthusiasts | ['TejaswiniVB Balaji'] | ['Best Overall'] | ['adobe-xd', 'dart', 'flutter', 'kotlin'] | 2 |
10,514 | https://devpost.com/software/communi-tea-microblog-app | Inspiration
The theme for this app development challenge was to create a microblogging app with focus on design.
The app that Ive created largely borrows ideas from Reddit -- a social news aggregator in technical terms and informally, home to thousands of communities and endless conversation.
But the UI of Reddit itself in my personal opinion was very challenging to navigate through , if it wasn't for the peer pressure I probably wouldn't have opened Reddit the second time considering how overwhelming it can get for a first time user.
I admire Reddit for its concept - to connect people based on a common interest , Instagram for it's simple UI and enabling you to connect with people you know and Twitter for its emphasis on microblogging.
So my aim was too integrate these core aspects from these sites.
What it does
On a platform like Reddit where strangers become friends , there is not much scope for personalisation amongst your own group of friends or people you know like in Instagram where you can share photos with your followers or on Twitter where you can follow actual celebrities so I've tried to introduce more personalisation in this context in my app by giving more emphasis to the "followers".
In a nutshell , communi-tea helps users across the app connect with a common interest in mind which could be something absolutely justifiable like a cute puppy pictures community connecting millions over their adorable pictures or a whole community discussing the exact same bizarre fan theory you had about your favorite show.
Your feed is curated based on the communities you follow and the most popular posts across these communities;
Your feed can also consist of posts that a certain follower has chosen to share with you. In addition to these large communities turning strangers into virtual friends you can also choose to create private communities for example I know that a certain group of my followers is dedicated to Indie Music, I can then create a private community for us with an option for all of us to send Indie music posts from our favorite communities and discuss playlists.
Also I took inspiration from Snapchat in order to come with a live gameroom option where the game invite self destructs after the game ends : This way people who are online can participate in live games with anyone across the world.
How I built it
I used Figma to build the UI prototype for my app.
Challenges I ran into
Although the UI of my app is fairly different from that of Reddit I faced difficulty in creating functional differences between communi-tea and Reddit
Accomplishments that I'm proud of
What I learned
"The function of design is letting design function." - Micha Commeren
I learnt how subtle things that we don't even tend to look at in daily life can make a significant change in our ease towards understanding a product like whether the home button is placed to the left or to the right or the difference it would make if comments and other options on posts were color coded and how all these small details work together to create an impression on the user to encourage(or discourage) him/her to use a product.
"Design is not just what it looks like and feels like. Design is how it works." - Steve Jobs
As a "computer science engineer" sometimes you can get so worked up on the code ,functionalities and getting the product to perform that you tend to forget about the user being able to understand the product in the first place.
I've always loved design but never saw how it could actually fit into the complex world of code and tech but with this hackathon I realised design is so much more than just "how it looks" , it's how the user perceives a product and experiences it.
What's next for communi-tea microblog app
Filtering content -- Reddit allows a lot of freedom on its app and is hence widely popular but also misused so a feature to disallow inappropriate content from being posted where a communi-tea bot can recognise such content before it is posted instead of waiting for someone to report it once it is posted.
To allow streaming and watch parties on the app - A watchparty is basically wherein one user streams something and multiple users can view it; this could be anything from a movie to a makeup tutorial
Built With
figma
Try it out
github.com | communi-tea microblog app | a microblogging app to connect users over shared interests. | ['sahithya papireddy'] | [] | ['figma'] | 3 |
10,514 | https://devpost.com/software/catch-up-8njs2t | Catch Up is a thoughts and ideas centric app trying to provide the best experience. Expressing oneself in their purest form and connecting others with those thoughts is one of the key elements of a micro blogging application. We have tried to translate that into our app. The user can refresh their daily feeds with some amazing and well crafted content from their fellow users. It could be a small blog post of a story that one would like to share or an experience that one might want another to experience through their magical build of words and vocabulary or maybe an train of emotions through a unique voice message combined with a wonderful 3D avatar of yourself speaking those words or maybe a scenic photograph that you once captured or a joyous moment that you want to share on a video, all of this on one app - Catch Up ! Catch Up brings you the latest blogs and posts following the latest trend. If the user is interested, they can perhaps filter what they see. Catch Up is guaranteed to fill you with knowledge and emotions every time you browse through and makes every minute spent on the app a wonderful one.
Built With
dart
flutter
Try it out
github.com | Catch Up ! | Catch UP during lockDOWN | ['Lakshmi Narayan Paidisetty', 'Hari Raagav T R', 'shreesha sk'] | [] | ['dart', 'flutter'] | 4 |
10,514 | https://devpost.com/software/our-project-is-a-monoblogging-app-which-is-done-by-the-team | Description
We the Peak Performers have made a microblogging mobile UI.
The app has been named Appstract. We have included several features of figma which we will describe in parts.
We first have a login page which will guide us to the home page. In the home page we have features like horizontal and vertical scrolling. We have added feature of displaying stories which works on tap and is moved around using drag overlay.
We have a task bar which guides us to other pages like messages, profile, settings , discover .In the message page we have several listed contacts which can be viewed in two ways.
1) We can click on the names and text them.
2) We can click on the pictures and view their profiles (overlay ,navigate and swapped with used)
We have included themes and pictures in discover page which can navigate us to other pages.
We have a profile page that displays user info.
In the settings page we have details of the developers.
We have used logout and back buttons to complete the UI and we also have added gifs and heart like buttons to make it more interactive for the user.
WE HOPE YOU WOULD LIKE OUR UI.
Built With
android-studio
figma
Try it out
github.com | Appstract - a microblogging app | We the Peak Performers have made a microblogging mobile UI. The app has been named Appstract. We have included several features of figma which we will describe in parts.This is our project hope u like | ['Srinivasa Raghavan', 'Rahul C', 'Jaaswin D Kotian'] | [] | ['android-studio', 'figma'] | 5 |
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