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 |
|---|---|---|---|---|---|---|---|---|
10,187 | https://devpost.com/software/project-shield | Inspiration
Our inspiration was the recent riots on injustice for George Floyd. We thought that if there had been a live stream that was directly connected to the police, his death could have been evaded. The police department could have sent police officers to stop this tragedy from happening. Our app is meant to prevent social injustices from happening and educate students and adults alike in recent news.
What it does
This app allows ordinary citizens the chance to catch criminals much faster and to prevent framing. When the user streams a certain event or riot, the stream is immediately sent to the police department. This makes calling 911 unnecessary and may provide evidence for the persecution, or vice versa.
How we built it
We built the demo app using Figma.
Challenges we ran into
Our main challenge was the initial process to come up with an idea and the platform in which to build it.
Accomplishments that we're proud of
We're proud of the way the app turned out because we didn't expect our app to have this kind of flow and design. This was the first time we had ever done a hackathon and we can only get better from here.
What we learned
Being apart of Jumpstart has really helped us learn concepts and it actually taught us some things along the way. One thing we learned was to use developing software called Figma. It helped us make a visual to the potential app. We also learned how to effectively communicate with others. Lastly, this weekend has helped us build relationships that will last.
What's next for Project SHIELD
We hope that Project SHIELD could be implemented into the daily lives of ordinary citizens. Also, we hope that we would have some government contracts so that this app can actually be of use to the police force.
Try it out
www.figma.com | Project SHIELD | We are team Project Shield and we aim to prevent acts of social injustice, through the Shield App, which allows civilians to alert and stream acts of injustice directly to the local Police department. | ['Ryan Park', 'Rikhil Kalidindi', 'Rohit Shetty', 'Isaiah Triggs'] | ['Best Tech (2nd place)'] | [] | 1 |
10,187 | https://devpost.com/software/inform-the-future-b4zhd5 | code for website
code for website
code for website
What it does
The website allows the learners to be more engaged in their learning experience as we teach learners coding through games that are designed to be fun. Our goal is to spark their interest in coding and help people maintain it in the long term.
How we built it
The website was designed with HTML. The website is still in the process of adding games and other features for users to learn in an exciting way. Our service is related to code.org other than the fact that we give users access to learn high-level programming languages rather than basic/general ones.
Challenges we ran into
Our biggest challenge is competition. Many websites such as code.org and codeacademy.com already have a large number of users which decreases are chances of getting users. We can resolve this issue by using simple concepts to allow users to start learning and enjoy their learning.
Accomplishments that we're proud of
We are proud that we have started designing our website and have ideas on how to attract users of all ages to learn through our service.
What we learned
There are many existing careers that use programming such as software application developers, computer systems engineers, and database administrators. These titles are just a few of many, and the possibilities of jobs programming can bring are endless.
What's next for Inform.The.Future
Our next steps include publishing our website and getting our first user. After our website is published we will design an app so users can at any time, in any place.
Built With
android
apple
dell
html
ios | Inform.The.Future | Teaching future generations code through fun games and simulations. | ['Joshua Brock', 'Justin Park', 'Adam Tung'] | ['Best Tech (3rd place)'] | ['android', 'apple', 'dell', 'html', 'ios'] | 2 |
10,187 | https://devpost.com/software/bonsai-ijlqfn | Inspiration
We were inspired at the opportunity that the customer support industry provides us. The industry at a large is stuck in a prehistoric era in which technology has stayed stagnant. Additionally, one of our close friends was actually a customer service agent and he mentioned to us how he spends most of his time looking for answers and we know we can push our selves into solving this unnecessary issue.
What it does
Introducing Bonsai, an intelligent customer support tool. Bonsai will be revolutionizing the $350 billion customer service industry. At the core of Bonsai, there are three main features. Realtime ticket triaging in which new tickets will be automatically assigned to the appropriate categories based on the subject matter. Instant Query Responses where with the power of deep learning Bonsai intelligently crafts a suggested answer for tickets using the company’s knowledge base. And lastly, a streamlined support system where the company’s articles and demos can be sent through the click of a button to further assist customers.
How I built it
To build the web platform, we used React JS, Redux, and Material UI for the crux of the project. For the backend of our project, our project takes advantage of Google Cloud Services in conjunction with Firebase. In terms of the machine learning side we have hosted our machine learning model on Amazon Web Services, and that is communicating with our application using Express JS.
Challenges we ran into
One of the biggest challenges that we ran into our project would definitely be the communication aspect being with COVID-19, conventional face-to-face communication was not possible. This is where efficiently using version/source control software came in handy. Some of the other challenges we faced were API integration with the ticketing system, making it efficiently streamlining these sources of data into our application while also keeping the UI clean and simple.
Accomplishments that we're proud of
One thing we are very proud of is that we were able to come together as a team and complete a lot of work. Not only did we develop a working demo of our project, we were able to create an amazing UI and a video that accurately portrays our project. Most of all, we are most proud of being able to create an application that has a wide range of applications and can truly impact businesses across a multitude of industries.
What I learned
We learned a ton of stuff when working on Bonsai! This ranged from learning to effectively use GitHub for collaboration across our team and using various API integrations in a streamlined approach. Aside from the technical aspects, we learned a lot about video production and editing and were able to improve and gain new skills.
What's next for Bonsai
The sky's the limit. We plan to continue to build out this application and work on our machine learning algorithm to effectively give more accurate answer suggestions. One aspect we plan to expand on greatly is our triaging system by implementing selective search within the company's knowledge base to improve the performance.
Built With
express.js
google-cloud-services
python
react
tensorflow | Bonsai | Bonsai is an intelligent machine learning tool that revolutionizes the customer service workflow by providing automatic ticket triaging and answer generation seamlessly in one platform. | ['Nithin Anumala'] | ['Best Business (1st Place)'] | ['express.js', 'google-cloud-services', 'python', 'react', 'tensorflow'] | 3 |
10,187 | https://devpost.com/software/virtual-closet | Inspiration
There is a lack of ways to view reliably how clothes look on a person's body.
What it does
It promotes products from brands that affiliate with us to customers to where they can view the AR models of the clothes and products and purchase these products if they like them.
How we built it
We built it using Flutter for our Front-End and NodeJS + Express for a backend which we deployed to Cloud Functions.
Challenges we ran into
To put it simply, the 3 members in dev team faced significant challenges. The member who was proficient in Flutter who was going to lead the team in development could not run Flutter at all for an entire day on Saturday, and as a result, could not contribute at all. Moreover, the other 2 members did not know flutter and had to learn while building the app. Therefore, the whole process of development was extremely challenging
Accomplishments that we're proud of
Building the app itself is a great accomplishment. We are also proud that the app smoothly retrieves products firebase and updates the products and other information in the app.
What we learned
We learned about Flutter and UI design as well as how to make AR filters with Spark Ar.
What's next for Virtual Closet
We will keep learning and develop features we couldn't have previously developed such as full body tracking to show shirts and pants in AR
Built With
adobdexd
arcore
arkit
dart
figma
firebase
firestore
flutter
mlvision
sendgrid
Try it out
github.com | Virtual Closet | Finding A Better You | ['Tanushsrisai Nadimpalli', 'Ramko9999 Pitchala', 'Tejesh Cheepuru', 'Harika Uppuluri', 'Rohan Shiva'] | ['Best Business (2nd Place)'] | ['adobdexd', 'arcore', 'arkit', 'dart', 'figma', 'firebase', 'firestore', 'flutter', 'mlvision', 'sendgrid'] | 4 |
10,187 | https://devpost.com/software/biometric-solutions-the-future-in-your-hands | Who am I?: My name is Ciara Mitchell. I am 16 years old and I am from Snellville, GA. I have always loved technology and STEM activities. I am interested in pursuing a career path in biomedical engineering. Specifically, I would like to research nano-technology and its role in medical devices.
Inspiration: I went to a college tour at Georgia Southern and I was amazed when I saw students gaining access to the dining hall by putting their eyes up to a retina scanner. I became interested in bio metric data and how it could be implemented to solve modern day problems.
What it does: The purpose of my hardware and software devices is to decrease credit card fraud cases in the United States by using biometric data instead of traditional numerical data such as chips and card numbers to authenticate card payments. My software is an app called PalmPay. PalmPay allows card holders to scan their veins. Their vein patterns are then stored as data with their card issuers (Visa, Mastercard, etc). My hardware device PalmSecure, is a credit card processor add-on. Once cardholders have registered their vein scans with their issuers, they will now be able to pay with only the palm of their hands. Users will hover their hand over PalmSecure,and through a series of imaging processing procedures, the vein pattern is matched with one in the issuers database.
Accomplishments: that I was able to articulate my ideas clearly. I have never used mobile app creators before and I have little code experience. I am proud of my ability to learn at a fast rate.
What's next for Biometric Solutions: The Future in Your Hands:I would like to extend this company to governmental agencies. Vein scanners have the potential to be used in high security institutions to make the right individuals are gaining access to the correct rooms.
Built With
adobe-creative-sdk
google-slides | Biometric Solutions: The Future in Your Hands | Re-imagining Our Currency Exchange System: Reducing Credit Card Fraud Utilizing Biometric Vein Scans | ['Ciara Mitchell'] | ['Best Business (3rd place)'] | ['adobe-creative-sdk', 'google-slides'] | 5 |
10,187 | https://devpost.com/software/myaid | Brain MRI without a tumor
Lungs image with pneumonia
Lungs image without pneumonia
our dashboard
MRI with brain tumor
Inspiration
We want to showcase the power of AI in the medical industry. We think there is a lot of room for improvement
What it does
APP demo -
https://www.youtube.com/watch?v=xbZUBd_1fSQ
Presentation -
https://www.youtube.com/watch?v=trTC5IrCSWA
A doctor/ patient can make an account on our web app and then he can go to the "scans" page and upload an x-ray/ MRI of a specific organ. Our AI algorithms will detect if a disease is present in that scan.
How I built it
Front-end:
The app is made with HTML, CSS, and javascript.
For the landing page, we used anime.js for the animation, it is mainly a template from
GitHub, adapted to out color scheme.
For the register and login page, we used bootstrap for the modern design and responsive
nature. The form is a flask-wtf form.
For the dashboard, we used a bootstrap dashboard as it is easy to add responsive, boxes
with different dimensions, along with all the other design elements bootstrap offers. For the
charts we used Chart.Js. Some illustrations are made by us ( in adobe illustrator ), and
others are taken from undraw.
Backend:
This is a dynamic web app that uses artificial intelligence so this makes it a very complex
the app when it comes to the backend part.
We used the python programming language as it is very easy to program with it and is
probably the best programming language for data science. Python also has some very good
web engines.
We used the Jinja template engine used by Flask in python. Flask is a very good choice in
this case as it is highly customizable has many useful libraries and is very well
documented.
For the forms, we used - Flask-WTF
For the login dynamic - Flask-login
For the database, we use a Postgres link connection with Flask-SQLaclhemy
We also need a background worker for Artificial Intelligence algorithms as they take a long
time and making the user wait is not an option in this case, especially if they have a slow
internet connection. As a python client, we used Redis and RQ workers to send background
jobs in the queue.
For the artificial intelligence algorithms, we used, ( along with popular linear algebra libraries
like NumPy ), the TensorFlow library which is the most popular neural network library and it
provides powerful algorithms like ResNet50, which we used to train the Brain Tumor and
Pneumonia algorithms. The datasets come from Kaggle.
Brain tumor dataset:
https://www.kaggle.com/navoneel/brain-mri-images-for-brain-tumor-detection
Pneumonia dataset:
https://www.kaggle.com/c/rsna-pneumonia-detection-challenge
We had to show the results in a web page and we did that by making a waiting web page
that refreshes every 10 seconds and therefore sends a request every 10 seconds, in that
request, we also check if the background job is ready. If it is ready to take the output, ( the
image ha to be converted to bytes encoded in utf-8 as this is the safe and sure way of
transferring images through workers).
We hosted our app with Heroku ( paid for hobby plan so the app won’t sleep) as it is very
easy to use workers, postgress, make multiple uploads, etc.
Challenges I ran into
Worker management, algorithm training time.
Accomplishments that I'm proud of
The entire app is fully functional
What I learned
How to use TensorFlow for image classification in a fast way
What's next for MYAID
So much more, many more algorithms should be added, drug discovery algorithms should be added, and many more
Built With
animejs
bootstrap
chart.js
css3
flask
html5
javascript
python
redis
rq
tensorflow
Try it out
myaid.herokuapp.com | MYAID | Innovating the medical industry with the power of AI | ['David Istrati', 'Ishaan Maheshwari'] | ['Best in High School (1st Place)'] | ['animejs', 'bootstrap', 'chart.js', 'css3', 'flask', 'html5', 'javascript', 'python', 'redis', 'rq', 'tensorflow'] | 6 |
10,187 | https://devpost.com/software/qcrypt | Inspiration
Learning about Quantum Computers.
What it does
Solves a very high end cyber security problem
How I built it
I cannot build until I can properly test with all types of quantum computers
Challenges I ran into
I could not receive my teammates videos, so I had to be the only one in the video.
Accomplishments that I'm proud of
I am proud that I created a product that solves a very important problem.
What I learned
I have learned many great entrepreneurial tips from the workshops as well as how to draft a prd.
What's next for QCrypt
I want to begin to develop the algorithm so that we can get to the testing process.
Try it out
docs.google.com | QCrypt | Our product is a lattice algorithm software that will prevent hacking from quantum computers. | ['Tony Pappas', 'Om Pughat'] | ['Best in High School (2nd Place)'] | [] | 7 |
10,187 | https://devpost.com/software/safe-stuffing-buo2fv | Safe Stuffing Prototype
Safe Stuffing Logo
Inspiration
One of our team members, Lauren Benoit, had to rush her dog to the hospital last year for an emergency surgery after her dog ate the cotton stuffing inside his toy, which caused severe intenstinal blockage that nearly led to her dog’s death. We knew that there had to be a better way to eliminate the need for expensive medical procedures for fatal bowel obstructions caused by cotton stuffing, so we decided to create a dog toy product with digestible stuffing inside.
What it does
Safe Stuffing creates dog toys with stuffing inside that, when consumed, would be able to dissolve in stomach acid. This will prevent the dog from getting severe intestinal blockage.
How I built it
The outer layer of the dog toy is reinforced with double-stitched seams, which is the industry standard for tougher dog toys. The inner layer of stuffing is made from materials that are dissolvable in the dog’s stomach acid.
Challenges I ran into
The biggest challenge we ran into was that it took a lot of research to determine what the inner layer of stuffing would be composed of that would be digestible and pet-safe. We also took a lot of time consulting mentors to create realistic financials for our business plan. We took a lot of time calculating potential sales projections and profit margins.
Accomplishments that I'm proud of
I am proud that we have a very solid business plan with an idea that fills market white-space. Our team worked very hard to ensure that the financials were accurate and that we were able to bring our pitch together nicely over this three-day competition.
What I learned
We learned how to calculate profit/loss and profit margins. We also learned the ways in which we could incorporate technology into the business, such as utilizing search engine optimization and developing a website, to help market our unique product.
What's next for Safe Stuffing
We would like to work more on this business plan and it’s financials so we can actually start this company over the summer. We thing this is a very viable business with potential to be successful, and we are very passionate about this product. | Safe Stuffing | Dogs tend to rip their toys apart & eat the cotton stuffing inside, causing fatal bowel obstructions. Safe Stuffing creates dog toys with digestible stuffing inside to eliminate expensive surgeries. | ['Ally Chan'] | ['Best in High School (3rd Place)'] | [] | 8 |
10,187 | https://devpost.com/software/nutripill | Mobile app prototype
Device Prototype
Inspiration
As our team was doing some spring cleaning, we noticed the abundance of expired medications stacking up in the medicine closet. After conducting thorough research, we were shocked to find that in 2018 alone, roughly 5.8 billion prescriptions were dispensed in the US. In addition, after conducting our own surveys this weekend, we noted that people often throw away expired medication in the trash or flush it down the toilet, both of which have dire environmental effects. as it contributes to landfill and pollution, and in some cases, mutations for aquatic life. A team of tech enthusiasts, we knew technology was the answer to this problem.
What it does
Our project, PillPlant, includes two components: a device and companion web app.
PillPlant is a device that solves the issue of expired medicine disposal by purifying and extracting the beneficial nutrients from pills and tablets, ultimately turning medication into a nutrient-enriched fertilizer that can be used in the garden. PillPlant provides an easy and effective way for homeowners to identify and recycle their expired medicine. It can also be used for professional medical environments, such as pharmacies, to reduce environmental toxication of expired medication.
Alongside the device, we produced an app that uses machine learning and image recognition to scan medication barcodes to identify whether or not the medication is compatible with PillPlant. Once the user scans the barcode, the app displays information about the medication, such as its active ingredients, inactive ingredients, and if PillPlant is compatible with the medication. The app also features tips and information on how to properly dissolve tablets as well as which tablets work the best to supply nutrients for plants.
How we built it
Although we plan for PillPlant’s companion app to be mobile in the future, we coded a web app to produce a prototype that showcased all of the features. The web app is built with HTML, CSS, Python, and the Flask API is integrated to support our scan feature.
Our mobile app prototype was designed on Canva, and our device was designed on Adobe Illustrate and Autodesk.
Challenges we ran into
As inexperienced web developers, we ran into challenges coding the features of the scan page to analyze images of medication barcodes and find the corresponding data regarding ingredients and compatibility with our device. Thanks to the Flask API, we were able to overcome this challenge by utilizing machine learning and image recognition. Another challenge that we encountered was while prototyping our mobile app. We debated whether or not we should have app users create their own accounts for privacy concerns, but ultimately decided to create a log-in page with the condition that we would incorporate extra security measures to keep patient data secure.
Accomplishments that we're proud of
One of our major accomplishments was that we were able to develop a physical prototype of the purification device. Although we were on a time crunch in regards to coding our mobile app and creating a pitch video, we wanted to visualize what PillPlant would look like if it were to be manufactured -- this helped us and our interviewees better understand our concept and the problem we were trying to solve.
We are also proud of the mobile app prototype that we created, as this prototype outlines what we want PillPlant’s companion app to look like in the future.
Another accomplishment was that we were able to contact and receive support from numerous individuals who specialized in the fields of biology, toxicology, and environmental science. These people gave us a plethora of suggestions to make our device more effective and helped us ensure that PillPlant would be safe to use.
What we learned
It was interesting to learn and understand how machine learning can be integrated into code, and how code written in HTML differs from code written in Python. It was also incredibly fascinating to learn about various sanitization techniques, especially amidst COVID-19, and analyze how we could incorporate a plethora of purification methods, such as UV rays and carbon filtration, into our prototype.
What's next for PillPlant
We want to release PillPlant into the market, in order to do so, we have a couple of key steps to take. Firstly, we will convert our web app into a mobile app that is more accessible and efficient to use. We also want to research bioaccumulation and its’ effect on plants by conducting our own studies and experiments. As of right now, we have received confirmation from subject area experts that the PillPlant liquid fertilizer will be usable for non-consumable plants. Through more in-depth research, we will be able to study PillPlant liquid fertilizer and its’ impact on plant life. Lastly, we want to design a commercial-sized device that can be purchased and used by large pharmaceutical companies.
Some extra info
Here is a
link
to our slides, and a
link
to our to our mobile app prototype on Canva. We also have a 3-pager
here
.
Built With
css
flask
html
machine-learning
python
Try it out
github.com | PillPlant | Converting expired medication into nutritive fertilizer. | ['Trishala Jain', 'Mihika Bhatnagar', 'Anika S'] | ['Best Overall (1st place)'] | ['css', 'flask', 'html', 'machine-learning', 'python'] | 9 |
10,187 | https://devpost.com/software/bluum-vuxh0l | Bluum Logo
Advertising Survey
Login Screen
My Account Tab
Browse Page
Photography Page
Cash Flow Statement
Sales Revenue Projections
Income Statement
The Inspiration:
My cousin, a natural artist since childhood, graduated from art school (Ohio State University) about 2 years ago. She is fantastic at designing t-shirts, shirts, jerseys, and painting. Unfortunately, she wasn't able to find a job that was willing to recognize her talent. She attempted to for 2 long years, but no opportunity came his way. My research revealed that art majors have the most difficulty when it comes to finding steady employment opportunities. I also realized that many students are bogged down by student loans, and Bluum can help start-up the careers of art graduates.
What it does:
Bluum is the channel that connects creatives to employers, helping to solve issues with unemployment among the art industry. Our service benefits the creators by providing them with work opportunities and access to resources to help them expand their network, but also benefits individuals in the community who are looking for unique and original creators. Our current foundation helps photographers, choreographers, musicians, clothing designers, and painters/sculptors find employment. In a society where people are constantly scrambling for resources, whether it is money, food, or energy, Bluum taps into the underutilized resource of creators to provide employment opportunities and artist exposure in the community.
Bluum’s platform connects artists to employers. Aspiring creators (Painters, Sculptors, Clothes designers, musicians, choreographers, and photographers) can apply to get access to our process. They will have to conduct an interview and submit an application, that includes their work experience and portfolio, in which the Bluum Team will select 30 people per art medium. If a creator is selected, they will pay the preferred subscription plan and can start to publish their work and online portfolio on the exclusive platform. On the other end of the spectrum, individuals looking to hire original creators, whether they are looking for someone to choreograph a dance or paint a wall mural, can search through the platform for a local creator that meets their needs. They can then either purchase specific work through our private chat or hire the individual for a date/time, in which Bluum will take a 10% fee. This process ensures that
artists can maintain contact with their employers and eliminates communication errors between employee and employer.
How I built it:
The initial framework of Bluum was designed using Swift and JavaScript.
Challenges I ran into:
Coming up with a way to ensure that the artist and the consumer do not communicate and deal outside the app (ensure profile cannot include any other social links and authentication process for all profiles).
Devising a suitable marketing strategy to target art enthusiasts of various ages.
Developing a competitive advantage over platforms such as Patreon and Indeed (focussing exclusively on art and connecting artists and enthusiasts).
Accomplishments that I'm proud of
The Bluum Membership System and the two-pronged tier approach which maximizes revenue as well as allows artists to promote themselves on the Bluum Home Page.
The Easy-to-use User Interface of Bluum, demonstrated through the screenshots.
Conducting a Comprehensive Financial Analysis of Bluum (Balance Sheet, P&L Statement, Cash Flow Statement)
Devising creative marketing strategies such as partnering up with Art Schools to promote Bluum.
What I learned
The various facets involved in creating a start-up (administration, technology, finance etc.)
The importance of having a competitive advantage over alternatives in the market.
Theories about marketing and business administration from the Zoom Webinars (My personal favorite was the 80-20 rule.)
What's next for Bluum
Focusing more on social media marketing and PPC (Pay-Per-Click) advertising.
Forming partnerships with influencers to expand Bluum's reach.
Expanding our geographic reach as our sales grow.
Built With
javascript
python
swift | Bluum- Create, Explore, Grow | A revolutionary channel that connects art enthusiasts to artists, helping reduce unemployment in the art industry. | ['advaya gulati'] | ['Best Overall (2nd place)'] | ['javascript', 'python', 'swift'] | 10 |
10,187 | https://devpost.com/software/refashion | What is it?
Refashion is an app designed for users to order custom alterations to pre-existing clothing. We strive to limit the detrimental effects of fast fashion and promote sustainability in the fashion industry.
What inspired you
I was inspired by the clothing projects I did in the past.
Please click this link to see PDF version of Product Requirements Documentation:
https://drive.google.com/file/d/1-bAvcG3mcsNIhUphUH8uIY7jFg5kn6Bb/view?usp=sharing | Refashion | Refashion is an app that allows the user to customize their wardrobe by making alterations to pre-existing clothing. | ['Kaci X'] | ['Best Overall (3rd place)'] | [] | 11 |
10,187 | https://devpost.com/software/space-board-8veq0c | Inspiration We were inspired after checking in with people we know and hearing that they've been struggling to work with colleagues through remote work.
What it does The app is structured like a whiteboard where each member of a team gets a whiteboard along with a communal whiteboard that everyone can view. People can then work together on the whiteboards. | Space Board | Space Board is an app where people can work together remotely through a whiteboard-like interface. | ['Abhinav Sharma'] | [] | [] | 12 |
10,187 | https://devpost.com/software/schoolbud |
window.fbAsyncInit = function() {
FB.init({
appId : 115745995110194,
xfbml : true,
version : 'v3.3'
});
// Get Embedded Video Player API Instance
FB.Event.subscribe('xfbml.ready', function(msg) {
if (msg.type === 'video') {
// force a resize of the carousel
setTimeout(
function() {
$('[data-slick]').slick("setPosition")
}, 2500
)
}
});
};
(function (d, s, id) {
var js, fjs = d.getElementsByTagName(s)[0];
if (d.getElementById(id)) return;
js = d.createElement(s);
js.id = id;
js.src = "https://connect.facebook.net/en_US/sdk.js";
fjs.parentNode.insertBefore(js, fjs);
}(document, 'script', 'facebook-jssdk'));
https://drive.google.com/file/d/1hy4119nBOpIMqAjLEq3pIdfaJaRA9Rb0/view?usp=sharing
Inspiration
Now is the time of year in which many high school seniors are slowly starting their transition into colleges and universities around the world. This is the first time where many students are moving away from home. As I am sure we all know, there is a culture shock that comes with this.
Many students will feel stressed, lost, and anxious during this extremely important period of transition. Sometimes, this feeling persists past just the first year of colleges.
Oftentimes, universities offer resources for students to help them find their path and communities, however since many institutions are extremely large with over thousands of students in each class, this feeling of isolation and anxiety among incoming students still prevails.
The help that students need may range from quick career guidance, course selection, social advice, club involvement… and there is no streamlined way for these questions to be answered
What it does
We are SchoolBud, a mentorship service for college students. We are a free resource for college/university students to obtain guidance from older students or mentors. Underclassmen can swipe through potential mentors, similar to tinder, and read about their majors, extracurriculars, and interests. If an underclassman sees a potential mentor that has similar interests, they can “swipe right” and message this mentor.
While underclassmen can gain invaluable guidance, upperclassmen will be incentivized to participate and become mentors through volunteer hours and the opportunity to make meaningful, lifelong connections.
While students can choose to search for only mentors/mentees in their own school/region, they will have access to college/university students all around the nation.
Our mission is to create a safe, trustable, collaborative platform for college students to create meaningful mentorship relationships.
How we built it
We created it with WireFrame.
Challenges we ran into
Our challenges were completing this within the time frame and coming up with an idea.
Accomplishments that we're proud of
We have a working rough outline for a business model that is feasible.
What we learned
We learned a lot about the structure on how to advertise to universities.
What's next for SchoolBud
We hope to find a developer to develop the front and back-end of this app. We also hope to start advertising via social media.
Built With
wireframe
Try it out
docs.google.com | SchoolBud | Our mission is to create a safe, trustable, collaborative platform for college students to create meaningful mentorship relationships. | ['Alvin He', 'Emily Gao'] | [] | ['wireframe'] | 13 |
10,187 | https://devpost.com/software/ecosurf | I love to wake surf and there is a huge problem right now in our world and I thought I would do the two things that i am passionate about and make a sweet business.
Built With
google | ECOSURF | ECO SURF looking toward a brighter future. | ['lauren olk'] | [] | ['google'] | 14 |
10,187 | https://devpost.com/software/thrive-ivmhw5 | Inspiration
My name is Nousha Afshar and like many of you, I worry about finding an internship in college. The job market is the most competitive its ever been. In order to find things to add to my resume, I end up exploring the internet for hours to find solid advice and opportunities. There needs to be an easier way, that's why my team and I created Thrive.
What it does
Thrive is an app that takes the hassle out of trying to make yourself a competitive candidate for the job market. The app lists volunteer and research opportunities and competitions local or online related to the user's field/major. Users can also discuss with one another on a chat forum for their field to ask questions or give advice with the same people they will be working with one day.
How we built it
We used Glide apps.
Challenges we ran into
None of us knew how to use Glide and some of us have never created anything like this before. The lack of experience was the largest hurdle.
Accomplishments that we're proud of
The app itself and how useful it is to students around the country is a great accomplishment. We are proud of the tool we created.
What we learned
How to work together to build a product in only a day and how to sort through problems smoothly.
What's next for Thrive
We hope we can deliver this to the app store and continue to build this product. We want everyone to have access to something that can really improve their future.
Built With
glide | Thrive | An app where students can find volunteer, research, or competition opportunities for their resumes based on their field or major. | ['Ben Zech', 'Nousha Afshar', 'Wilbert De Leon', 'Tyler Scott', 'Ashaz Ahmed'] | [] | ['glide'] | 15 |
10,187 | https://devpost.com/software/backoffice | Inspiration
Check
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for BackOffice
Built With
onshape | BackOffice | The last backpack you'll ever need | ['Marley Barrett'] | [] | ['onshape'] | 16 |
10,187 | https://devpost.com/software/soundhub-t4cbmu | SoundHub allows users to inspire and be inspired by others.
SoundHub enables users to show the world their talent.
Users can create music by composing samples.
Inspiration
As software engineers, we are astonished by the invaluable progress that the open-source community has achieved in recent years. Several convenient, non-proprietary technologies have emerged and established into the market thanks to the continuous collaboration and participation of highly-creative individuals scattered around the world. This has transformed the software industry forever and we believe that a similar phenomenon might be possible in the music industry. We are confident that, analogously with software, brilliant musical compositions can be manifested by promoting the collaboration between creative individuals that can share their own work (either samples or complete compositions) and use (fork) the work from others to create extraordinary pieces of music.
What it does
SoundHub works as a repository containing samples and compositions (set of arranged samples) in which users can share their own sounds (voice recordings, instrument recordings, etc) and use the ones from others (fork) to complement their musical compositions or get inspiration for new creations. By enabling forking samples or compositions, SoundHub allows giving credit to each individual participant in a complex composition such as a song. Ultimately, this could facilitate an improved and more equal distribution of royalties, with SoundHub being a groundbreaker in the current music industry.
How we built it
We built the demo using JHipster, a highly-configurable, open-source application generator that facilitated us the use, integration, and deployment of software development technologies including Spring, React, Java, among others. Moreover, we leverage open-source technologies for media visualization and reproduction in web browsers.
Challenges we ran into
Since we had no prior experience with JHipster and the generation of code for React and Redux, it was a bit tricky to complete some functionalities in the demo. However, we were able to overcome the challenges presented during this weekend.
Accomplishments that we're proud of
We are nothing but satisfied with the results we achieved for the demo, considering the short time at hand. We were able to incorporate in our platform the creation and logging of users, CRUD operations for samples and compositions, the forking of compositions and their live reproduction in the browser, and downloading the sound produced by multiple samples in a composition.
What we learned
We reinforced our communication and teamwork skills by collaborating together on this project. Moreover, we strengthened our software development skills by using different open-source technologies at our disposition. Furthermore, we were delighted to hear from experienced entrepreneurs and mentors and learn from their valuable experiences in business. We are confident that participating in this project has directly contributed to our personal and professional experience.
What's next for SoundHub
We will continue developing SoundHub in the future by incorporating new capabilities, including:
-Advanced sample and composition search:
Users will be able to refine the search of sounds and compositions according to specified criteria such as type of instrument, tonality, tempo, among others. This will facilitate a more personalized experience and workflow improvement.
-Looping sounds in a track:
Users will have access to more advanced sound editing features such as the looping (repetition) of individual samples. This enables users to create larger musical compositions.
-Advanced placement of sounds in the composition and sound effects:
Users will be able to adjust the specific location of samples in a composition and apply effects to them to enrich their sound.
Built With
docker
java
jhipster
postgresql
react
spring
Try it out
docs.google.com | SoundHub | A platform that enables community-based musical compositions by allowing users to share sounds and incorporate the ones from others into their own work, unleashing creativity and collaboration! | ['Miguel Jiménez', 'Felipe Rivera'] | [] | ['docker', 'java', 'jhipster', 'postgresql', 'react', 'spring'] | 17 |
10,187 | https://devpost.com/software/libra-65q2jf | Logo!
Example of models dictionary in client class with only 1 classification neural network.
Output of tune()
Sample outfit for generate_fit_cnn() to generate a dataset of apples, oranges, and bananas and train a CNN for it with just 3 epochs.
Example process logger
Sample of all plots generated for clustering query. Only plots for best cluster are stored.
Generated model train vs test accuracy plot for classification neural network query.
Example generated clustering plot for n_clusters = 9
Similarity Spectrum for stat_analysis()
GitHub commit history!
Check out the GitHub page if you'd like to see a working Table of Contents. Devpost disables same-page links so I couldn't get it to work.
Libra: Deep Learning fluent in one-liners
Libra is a machine learning API that allows developers to build and deploy models in fluent one-liners. It is written in Python and TensorFlow and makes training neural networks as simple as a one line function call. It was written to make machine learning as simple as possible for every software developer.
Motivation
With the recent rise of machine learning on the cloud, the developer community has
neglected
to focus their efforts on creating easy-to-use platforms that exist locally. This is necessary because in a process that has hundreds of API endpoints, it's very difficult to integrate your pre-existing workflow with a cloud based model. Libra makes it very easy to create a model in just one-line, and not have to worry about the specifics and/or the transition to the cloud.
While Keras makes it easy to use Tensorflow's features, it still requires users to understand the basics like how to preprocess his/her dataset, how to build models for his/her task, and architectures for his/her networks. Libra takes all of this out of the hands of the developer, so that the user has to have no knowledge about machine learning in order to create and train models.
Guiding Principles
Beginner Friendly.
Libra is an API designed to be used by developers with no deep learning experience whatsoever. It is built so that users with no knowledge in preprocessing, modeling, or tuning can build high-performance models with ease without worrying about the details of implementation.
Quick Integration.
With the recent rise of machine learning on the cloud, the developer community has failed to make easy-to-use platforms that exist locally and integrate directly into workflows. Libra allows users to develop models directly in programs with hundreds of API endpoints without having to worry about the transition to the cloud.
Automation.
End-to-end pipelines containing hundreds of processes are automatically run for the user. The developer only has to consider what they want to accomplish from the task and the location of their initial dataset.
Easy Extensibility.
Queries are split into standalone modules. Under the dev-pipeline module you can pipeline both different and new modules and integrate them into the workflow directly. This allows newly developed features to be easily tested before integrating them into the main program.
Overview
Libra is split up into several main components:
Client:
the client object is where all models and information generated are stored for usage.
Queries:
How models are built and trained in Libra. They're called on client objects and are given an instruction. ALL preprocessing is handled by the queries!
Image generation:
For generating datasets and fitting them to convolutional neural networks automatically.
Model Information:
How to retrieve generated plots, and deep-tune models.
Dimensionality Reduction:
How to perform reduction and feature selection to your dataset easily.
Process Logger:
Keeping track of processes Libra is running in the background.
Pipelining for contributors:
Special module pipeline in order to contribute to Libra.
User instruction identification:
How Libra uses user instruction to determine targets and make predictions.
Table of Contents
Prediction Queries: building blocks
Regression Neural Network
Classification Neural Network
Convolutional Neural Network
K-Means Clustering
Nearest Neighbors
Support Vector Machines
Decision Tree
Image Generation
Class Wise Image Generation
Generate Dataset & Convolutional Neural Network
Model Information
Model Tuning
Plotting
Dataset Information
Dimensionality Reduction
Reduction Pipeliner
Principle Component Analysis
Feature Importances via Random Forest Regressor
Independent Component Analysis
Process Logger
Pipelining for Contributors
Providing Instructions
What's next for Libra?
Contact
Queries
Queries are how you create and train machine learning algorithms in Libra.
Generally, all queries have the same structure. You should always be passing an English instruction to the query. The information that you generate from the query will always be stored in the
client
class in the model's dictionary. When you call a query on the
client
object, an instruction will be passed. Any format will be decoded, but avoiding more complex sentence structures will yield better results. If you already know the exact target class label name, you can also provide it.
Regression Neural Network
Let's start with the most basic query. This will build a feed-forward network for a continuous label that you specify.
newClient = client('dataset')
newClient.regression_query_ann('Model the median house value')
No preprocessing is neccesary. All plots, losses, and models are stored in the models field in the client class. This will be explained in the Model Information section.
Basic tuning with the number of layers is done when you call this query. If you'd like to tune more in depth you can call:
newClient.tune('regression', inplace = False)
To specify which model to tune, you must pass the type of model that you'd like to perform tuning on.
This function tunes hyperparameters like node count, layer count, learning rate, and other features. This will return the best network and if
inplace = True
it will replace the old model it in the client class under
regression_ANN
.
Now, if I want to use my model, I can do:
newClient.models['regression_ANN'].predict(new_data)
Classification Neural Network
This query will build a feed-forward neural network for a classification task. As such, your label must be a discrete variable.
newClient = client('dataset')
newClient.classification_query_ann('Predict building name')
This creates a neural network to predict building names given your dataset. Any number of classes will work for this query. By default,
categorical_crossentropy
and an
adam
optimizer are used.
Convolutional Neural Network
Creating a convolutional neural network for a dataset you already have created is as simple as:
newClient = client()
newClient.convolutional_query('path_to_class1', 'path_to_class2', 'path_to_class3')
For this query, no initial shallow tuning is performed is done because of how memory intensive CNN's can be. User specified parameters for this query are currently being implemented. The defaults can be found in the
predictionQueries.py
file.
K-means Clustering
This query will create a k-means clustering algorithm trained on your processed dataset.
newClient = client('dataset')
newClient.kmeans_clustering_query()
It continues to grow the number of clusters until the value of
inertia
stops decreasing by at least 1000 units. This is a threshold determined based on several papers, and extensive testing. This can also be changed by specifying
threshold = new_threshold_num
. If you'd like to specify the number of clusters you'd like it to use you can do
clusters = number_of_clusters
.
Nearest-neighbors
This query will use scikit-learn's nearest-neighbor function to return the best nearest neighbor model on the dataset.
newClient = client('dataset')
newClient.nearest_neighbor_query()
You can specify the
min_neighbors, max_neighbors
as keyword arguments to the function. Values are stored under the
nearest_neighbor
field in the model dictionary.
Support Vector Machine
This will use scikit-learn's SVM function to return the best support vector machine on the dataset.
newClient = client('dataset')
newClient.svm_query('Model the value of houses')
Values are stored under the
svm
field in the model dictionary.
NOTE: A linear kernel is used as the default, this can be modified by specifying your new kernel name as a keyword argument:
kernel = 'rbf_kernel'
.
Decision Tree
This will use scikit's learns decision tree function to return the best decision tree on the dataset.
newClient = client('dataset')
newClient.decision_tree_query()
This will use scikit's learns Decision Tree function to return the best decision tree on the dataset. Values are stored under the
decision_tree
field in the model dictionary.
You can specify these hyperparameters by passing them as keyword arguments to the query:
max_depth = num, min_samples_split = num, max_samples_split = num, min_samples_leaf = num, max_samples_leaf= num
Image Generation
Class wise image generation
If you want to generate an image dataset to use in one of your models you can do:
generate_set('apples', 'oranges', 'bananas', 'pineapples')
This will create separate folders in your directory with each of these names with ~100 images for each class. An updated version of Google Chrome is required for this feature; if you'd like to use it with an older version of Chrome please install the appropriate chromedriver.
Generate Dataset and Convolutional Neural Network
If you'd like to generate images and fit it automatically to a Convolutional Neural Network you can use this command:
newClient.generate_fit_cnn('apples', 'oranges')
This particular will generate a dataset of apples and oranges by parsing Google Images, preprocess the dataset appropriately and then fit it to a convolutional neural network. All images are reduced to a standard (224, 224, 3) size using a traditional OpenCV resizing algorithm. Default size is the number of images in one Google Images page
before
having to hit more images, which is generally around 80-100 images.
The infrastructure to generate more images is currently being worked on.
Note: all images will be resized to (224, 224, 3). Properties are maintained by using a geometric image transformation explained here:
OpenCV Transformation
.
Model Modifications
Model Tuning
In order to further tune your neural network models, you can call:
newClient.tune('convolutional neural network')
This will tune:
Number of Layers
Number of Nodes in every layer
Learning Rate
Activation Functions
In order to ensure that the tuned models accuracy is robust, every model is run multiple times and the accuracies are averaged. This ensures that the model configuration is optimal.
You can just specify what type of network you want to tune — it will identify your target model from the
models
dictionary using another instruction algorithm.
NOTE: Tuning for CNN's is
very
memory intensive, and should not be done frequently.
Plotting
All plots are stored during runtime. This function plots all generated graphs for your current client object on one pane.
newClient.plot_all('regression')
If you'd like to extract a single plot, you can do:
newClient.show_plots('regression')
and then
newClient.getModels()['regression']['plots']['trainlossvstestloss']
No other plot retrieval technique is currently implemented. While indexing nested dictionaries might seem tedious, this was allowed for fluency.
Dataset Information
In depth metrics about your dataset and similarity information can be generated by calling:
newClient.stat_analysis()
A information graph as well as a similarity spectrum shown below will be generated. This can be found in the image gallery under "Similarity Spectrum."
This represents 5 columns that have the smallest cosine distance; you might need to remove these columns because they're too similar to each other and will just act as noise. You can specify whether you want to remove them with
inplace = True
. Information on cosine similarity can be found
here
.
If you'd like information on just one column you can do:
newClient.stat_analysis(dataset[column_name])
Dimensionality Reduction
Reduction Pipeliner
If you'd like to get the best pipeline for dimensionality reduction you can call:
dimensionality_reduc(I want to estimate the number of households', path_to_dataset)
or
newClient.dimensionality_reducer(I want to estimate the number of households')
Instructions like "I want to model x" are provided in the dimensionality reduction pipeline because it identifies which prediction objective you would like to maximize the accuracy for. Providing this instruction helps Libra provide users with the best modification pipeline.
Libra current supports feature importance identification using random forest regressor, indepedent component analysis, and principle component analysis. The output of the dimensionalityReduc() function should look something like this:
Baseline Accuracy: 0.9752906976744186
----------------------------
Permutation --> ('RF',) | Final Accuracy --> 0.9791666666666666
Permutation --> ('PCA',) | Final Accuracy --> 0.8015988372093024
Permutation --> ('ICA',) | Final Accuracy --> 0.8827519379844961
Permutation --> ('RF', 'PCA') | Final Accuracy --> 0.3316375968992248
Permutation --> ('RF', 'ICA') | Final Accuracy --> 0.31419573643410853
Permutation --> ('PCA', 'RF') | Final Accuracy --> 0.7996608527131783
Permutation --> ('PCA', 'ICA') | Final Accuracy --> 0.8832364341085271
Permutation --> ('ICA', 'RF') | Final Accuracy --> 0.8873546511627907
Permutation --> ('ICA', 'PCA') | Final Accuracy --> 0.7737403100775194
Permutation --> ('RF', 'PCA', 'ICA') | Final Accuracy --> 0.32630813953488375
Permutation --> ('RF', 'ICA', 'PCA') | Final Accuracy --> 0.30886627906976744
Permutation --> ('PCA', 'RF', 'ICA') | Final Accuracy --> 0.311531007751938
Permutation --> ('PCA', 'ICA', 'RF') | Final Accuracy --> 0.8924418604651163
Permutation --> ('ICA', 'RF', 'PCA') | Final Accuracy --> 0.34205426356589147
Permutation --> ('ICA', 'PCA', 'RF') | Final Accuracy --> 0.9970639534883721
Best Accuracies
----------------------------
["Permutation --> ('ICA', 'PCA', 'RF) | Final Accuracy --> 0.9970639534883721"]
The baseline accuracy represents the accuracy acheived without any dimensionality reduction techniques. Then, each possible reduction technique permutation is displayed with its respective accuracy. At the bottom is the pipeline which resulted in the highest accuracy. You can also specify which of the reduction techniques you'd like to try by passing
reducers= ['ICA', 'RF']
to the function.
If you'd like to replace the dataset with one that replaces it with the best reduced one, you can just specify
inplace=True
.
Principle Component Analysis
Performing Principle Component is as simple as:
dimensionality_PCA("Estimating median house value", path_to_dataset)
NOTE: this will select the optimal number of principal components to keep. The default search space is up to the number of columns in your dataset. If you'd like to specify the number of components you can just do
n_components = number_of_components
.
Feature Importances via Random Forest Regressor
Using the random forest regressor to identify feature importances is as easy as calling:
dimensionality_RF("Estimating median house value", path_to_dataset)
This will find the optimal number of features to use and will return the dataset with the best accuracy. If you'd like to manually set the number of feature you can do
n_features = number of features
.
Indepedent Component Analysis
Performing Indepedent Component Analysis can be done by calling:
dimensionality_ICA("Estimating median house value", path_to_dataset)
If this does not converge a message will be displayed for users to warn them by default.
Process Logger
Libra will automatically output the current process running in a hierarchial format like this:
loading dataset...
|
|- getting most similar column from instruction...
|
|- generating dimensionality permutations...
|
|- running each possible permutation...
|
|- realigning tensors...
|
|- getting best accuracies...
A quiet mode feature is currently being implemented.
Pipelining for Contributors
In order to help make Libra extensible, a process pipeliner has been implemented to help contributors easily test their newly-developed modules.
Let's say you've developed a different preprocesser for data that you want to test before integrating it into Libra's primary workflow. This is the process to test it out:
First, you want to initialize your base parameters, which are your instructions, the path to your dataset, and any other information your new function might require.
init_params = {
'instruction': "Predict median house value",
'path_to_set': './data/housing.csv',
}
You can then modify the main pipeline:
single_regression_pipeline = [initializer,
your_own_preprocessor
, #is originally just preprocessor
instruction_identifier,
set_splitter,
modeler,
plotter]
These pipelines can be found under the
dev-pipeliner
folder. Currently, this format is only supported for the single regression pipeline. Complete integration of pipelining into the main framework is currently being implemented.
Finally, you can run your pipeline by using:
[func(init_params) for func in reg_pipeline]
All model information should be stored in
init_params
. If you'd like to modify smaller details, you can copy over the module and modify the smaller detail; this split was not done to maintain ease of use of the pipeline.
Instructions
newClient.svm_query('Estimate household value') --> target: households, found similar in dataset ✓
Libra uses intelligent natural language processing to analyze user instructions and match it with a column in the users dataset.
Textblob
, a part of speech recognition algorithm, is used to identify parts of speech.
A self-developed part-of-speech deciphering algorithm is used to extract relevant parts of a sentence.
Masks are generated to represent all words as tensors in order for easy comparison
Levenshentein distances are used to match relevant parts of the sentence to a column name.
Target column selected based on lowest levenshentein distance and is returned.
What's next for Libra
Q-learning and Policy Gradient Queries
Make process pipeline part of main framework
Modularize the data preprocessor for structured data
Data Augmentation queries
Sentiment Analysis
Contact
If you're excited about Libra and are looking to contribute please reach out to me via email or linkedin to get started with onboarding. This will begin after this hackathon is completed.
Email:
ps9cmk@virginia.edu
Linkedin:
https://www.linkedin.com/in/palash-sh/
Responsible AI considerations are attached as a Google Docs link below.
Built With
argparse
colorama
cv2
itertools
json
keras
keras-tuner
matplotlib
numpy
os
pandas
pdtabulate
pil
pprint
requests
scipy
selenium
sklearn
string
sys
tabulate
tensorflow
textblob
urllib
Try it out
github.com | Libra | A machine learning API that makes building and deploying models as simple as a one-line function call. | ['Palash Shah'] | [] | ['argparse', 'colorama', 'cv2', 'itertools', 'json', 'keras', 'keras-tuner', 'matplotlib', 'numpy', 'os', 'pandas', 'pdtabulate', 'pil', 'pprint', 'requests', 'scipy', 'selenium', 'sklearn', 'string', 'sys', 'tabulate', 'tensorflow', 'textblob', 'urllib'] | 18 |
10,187 | https://devpost.com/software/team-angry-nerds-ashton | Inspiration
We wanted to create a social networking platform that was free from clutter, that fostered meaningful discussion, and focused on community safety.
What it does
How I built it
Using Figma, we were able to develop visuals of what we want our app to look like.
Challenges I ran into
Some of the main challenges included understanding the target market, looking for features that competitors didn't offer.
Accomplishments that I'm proud of
What I learned - how to have an entrepreneurial mindset.
What's next for Team Angry Nerds - Ashton
Developing the app and trying to develop marketing techniques to increase the presence of the network.
Built With
dart
flutter | Team Angry Nerds - Ashton | A community-based social media app | ['Rahil Modi', 'Surya Rajan', 'Vatsalya Verma'] | [] | ['dart', 'flutter'] | 19 |
10,187 | https://devpost.com/software/stem-together | STEM Together logo
STEM Together Progress Check
STEM Together Quiz Question Sample
Each kid is different. The learning processes of kids during their youth is very crucial in determining how they develop their future. As we are progressing into a world filled with more STEM, STEM learning has been starting to become a part of the educational system. However, not every child has the same capacity as others. That's why I wanted to introduce STEM Together, which is an online service providing kids with personalized guided lessons and practice to give them an educational experience like no other and suited for their needs.
Built With
pixlr
wix
Try it out
nehaadari.wixsite.com | Stem Together | Personalized STEM training tailored to enhance youth education | [] | [] | ['pixlr', 'wix'] | 20 |
10,187 | https://devpost.com/software/coursepar | Inspiration
In the wake of a loss of schools and lack of free, high-quality online learning platforms, we wanted to build a new and innovative app that could help everyone spread their ideas and learn new things.
What it does
This app lets people teach others and learn from others for free. There are paid tiers with benefits that can be bought, but on the whole, it's a high-quality free app.
How we built it
We used Figma to give an idea as to what our app would look like, and thought through all the possible features that could be added. Please see our video and PDF for more information.
Challenges we ran into
We ran into the problem of unfamiliarity - we weren't used to designing or thinking through what made a good app, a good app. We had to think critically and learn how to vocalize and present our ideas.
Accomplishments that we're proud of
We ultimately came up with a highly detailed outline for what could be a very useful and popular product.
What we learned
Through this exercise, we better learned how to think and communicate effectively.
What's next for Coursepar
We could fully develop Coursepar, and see how it fits in with the current educational/skills environment and get community feedback to better improve out platform.
Built With
css
html
javascript | Coursepar | Coursepar - an educational platform where you can learn everything and teach everything. | ['Sophie Pederson'] | [] | ['css', 'html', 'javascript'] | 21 |
10,187 | https://devpost.com/software/btlr | Sustainability was at the core of what we created. We are using reverse vending machines to give customers direct money in our app for each plastic bottle they deposit in the stations. We are then depositing those bottles through a third party to recycling groups, allowing us to profit from the recycling as well. The idea checks out financially, with some scenarios, included our forecasted one, seeing nearly a 10x return on our initial investment over 12 years. The app is simple as well, as seen with screenshots in the video demo.
Built With
excel
powerpoint
swift | btlr | Using reverse vending machines to pay customers to recycle bottles. | ['Ayush Krishnamoorti', 'Gabe Deng', 'Bryant Hill', 'Michael Bell'] | [] | ['excel', 'powerpoint', 'swift'] | 22 |
10,187 | https://devpost.com/software/thermogo | Inspiration: In light of the current situation with Covid-19, we observed how the lockdown was affecting us as individuals in the society and how there was a flaw in the process of returning back to somewhat of a normal life.
What it does: With ThermoGo, employers can track and quickly update the daily temperatures of employees across various departments. This app is made to add regulation to the process regarding Covid-19.
How we built it: We first designed our app on Figma so that we can work on it together, then recreated the design on Adobe XD and exported it through SuperNova Studio so that it can be edited on Flutter.
Challenges we ran into: We had some problems converting our design from Adobe XD to Flutter, and then had some challenges implementing libraries and utilizing Flutter because it was a new language for all of us. We also had difficulties merging the code of various files together.
Accomplishments that we're proud of: We're proud that we were successfully able to develop a business plan and an application throughout these three day even though it was our first time participating in a hackathon and using these different softwares. Furthermore, we are proud that we were able to observe a big problem within the world and contribute to making a solution.
What we learned: Through the process of making this app, we learned many technical skills in designing and coding the application. We also got to experience the business side and discovered importance in selling our product, generating revenue, and receiving marketing validation. More importantly, we learned the importance of speaking up when we see a problem in society and collaborating together to find a solution.
What's next for ThermoGo: Although the app is currently specific to Covid -19, it can be expanded beyond the pandemic for use as a safety measure by companies to track the general health of their employees. As we develop our application, we plan to link a bluetooth thermometer with the device to avoid the need for manual entry. We hope to reach out to professors in various colleges to help us expand this app so it can gain popularity and credibility.
Built With
firebase
flutter
google-chart-api
javascript
supernovastudio | ThermoGo | Thermometer database on the go! | ['Lina Battikha', 'Divya Jain', 'Prisha Anand'] | [] | ['firebase', 'flutter', 'google-chart-api', 'javascript', 'supernovastudio'] | 23 |
10,187 | https://devpost.com/software/fauxbar | Inspiration
We were inspired by our budding entrepreneurial spirit that came from being surrounded by constant innovation. In light of recent events, we were influenced by the growing number of startups in the last three months. We noticed more and more food delivery services becoming popular and realized the issue of increased alcohol consumption due to the convenience of ordering online. Then, we considered how teens must feel not being able to experience their high school lives they way they wanted. As lockdowns will come to an end, people will try to compensate for what they missed out on, which could lead to excessive partying and drinking from teens. So, we want to provide them with a more convenient and safe option.
What it does
FauxBar is a service designed to deliver non-alcoholic beer, wine, and more straight to the location indicated by the shopper. It allows users to browse local stores for non-alcoholic beverages and choose the same item from our menu. Once the user has purchased their drinks, the order will be picked up and delivered to them by our delivery service workers within an hour.
How we built it
We do not have full functionality yet available for our app. So, we have attached a Product Requirements Document entailing all our specifics. We have, however, provided a visual for the base design of our app via Glide.
Challenges we ran into
The main challenge we faced was the lacking of coding knowledge/skill. Because of this, we could not develop our app to full functionality as we would have wanted to see it presented.
Accomplishments that we're proud of
We are proud of being able to design the app even though we could not provide functionality because none of us have ever worked with Glide before. We also pride ourselves in coming up with a thorough Product Requirements Document to show how much we have thought this idea through.
What we learned
We learned some helpful entrepreneurial tips throughout the weekend with the various workshops, keynote speakers, and panels. We learned the most from working through out project ourselves. We were able to grow by putting ourselves in an accelerated project that we would have otherwise spent more time on. We were able to cooperate and work efficiently with each other as well.
What's next for FauxBar
For us, we want to continue beyond this weekend. We have plans to use the summer to launch a real app developed with a coder. We also want to partner with existing food delivery services to have easy access to delivery people in any part of the country.
Try it out
fauxbar.glideapp.io
docs.google.com | FauxBar | Faux Beer, Wine, and More- Straight to Your Door | ['Brinda Patel', 'Monit Patel'] | [] | [] | 24 |
10,187 | https://devpost.com/software/myathena | Inspiration
Felt that some stores didn't know their target audience and could go into bankruptcy because of that.
What it does
I did an application with sample images and it's created so that the admin can determine what product/image would reach the most people based on their current mood.
How I built it
I built it using react js and material ui by taking the images into a grid format. Those images had categories and they called AWS DynamoDB via API gateway and AWS lambda.
Challenges I ran into
Getting images properly setup and passing that through AWS.
Accomplishments that I'm proud of
Learning more about AWS. Learning more about react js.
What I learned
You can do anything you put your mind into.
What's next for MyAthena
Make the template more aesthetically appealing and create a website for the company.
Built With
amazon-dynamodb
amazon-web-services
react | MyAthena | At MyAthena we can see the future of business | ['http://userinfo.s3-website.us-east-2.amazonaws.com/', 'Ramani Arunachalam'] | [] | ['amazon-dynamodb', 'amazon-web-services', 'react'] | 25 |
10,187 | https://devpost.com/software/stem-education-club | Inspiration
We were inspired by young kids at our school who are passionate about STEM-related activities and hands-on learning leading us to want to create a platform to cultivate that.
What it does
Our site provides a resource for parents, teachers, and kids to participate in STEM-related activities such as experiments, live webinars, and a tutoring service for math and science.
How I built it
We used the platform Wix to create our website which allowed us to include a social media platform, information about our services, our mission statement, and a donation link.
Challenges I ran into
Although learning to use a new program like Wix was challenging at first, we quickly got the hang of it. It was also difficult to coordinate in a time where we can't interact in an in-person setting.
Accomplishments that I'm proud of
We are proud of creating a platform that focuses on social outreach and helping the community. We believe that today STEM careers are some of the most important and necessary jobs and we are excited to be apart of inspiring another generation to be apart of them.
What I learned
We learned that to be successful in something, you have to set aside the personal benefits of it. When we began to think about the benefits of our community and the younger generations, that is when we truly became passionate about our idea. Whether or not we place in the competition, we will be pursuing STEM Education Club to spark curiosity in young minds.
What's next for STEM Education Club
Our next steps would be to make more quality content for our viewers in the form of videos and webinars. We hope to begin to include more and more students both inside and outside our communities.
Built With
imovie
powerpoint
wix
word
Try it out
stemedclub.wixsite.com | STEM Education Club | Our mission is to spark curiosity in young minds all around the world by hosting activities and webinars in things such as Science, Technology, Math, and Engineering. | ['Livia Wooldridge', 'Sean SJ Park'] | [] | ['imovie', 'powerpoint', 'wix', 'word'] | 26 |
10,187 | https://devpost.com/software/protest-mn | Inspiration
Our inspiration for Protest MN was the many protests following the murder of George Floyd. These protests and riots are occurring only 20 minutes away from our team, so we decided that a place to get accurate information regarding the protests would be necessary.
What it does
Protest MN is a website where people can come together and talk about their opinions and join groups regarding issues they are passionate about. The website also shows protests around the Twin Cities, with information on dates and locations. Within the website, there are tabs that lead you to links to petitions and donations specific to different causes. The last tab is for merchandise, which is one of our main sources of income.
How we built it
We used Weebly to create a website demo of Protest MN. Our team also chose to go the documentation route.
Challenges we ran into
At first, we tried to make an app using the frameworks without coding required, but it was too difficult considering our lack of knowledge about coding and app design. However, we are passionate about this idea and couldn't give up on it, so we included the product features of what the future app would contain in the Product Requirements Document
link
.
Accomplishments that we're proud of
We're very proud that this startup provides a solution and a way for the Minnesota community to come together during this unpredictable time. We hope that if this idea was turned into an app, it would be used by many and be helpful for progressive people to organize and assemble protests.
What we learned
We learned that communication is key when working in a team, and everyone's ideas should be considered. Jumpstart was a very fun way to learn more about the entrepreneurship side of business, and it showed that anyone can create a startup with the right help and tools!
What's next for Protest MN
Our goal for Protest MN is for the website to be turned into an app where users can further online communications in an easier way.
Video Pitch
link
Product Requirements Document
link
Built With
none | Protest MN | Protest MN is a way for Minnesotans to come together and have a source of clear communication about protests, ways to donate, and petitions to sign. | ['Maggie Belongie', 'Camille Casper', 'Lauren Becker', 'Allison Miranda', 'Gabrielle Campbell', 'Katie Kleis'] | [] | ['none'] | 27 |
10,187 | https://devpost.com/software/quickjump | Inspiration
We have always thought there should be a quicker way to start our cars when they die!
What it does
QuickJump gives people and easy and quick way to jumpstart their dead car battery.
How we built it
We assembled solar panels, portable jumper cables, and lithium batteries.
Challenges we ran into
The challenges included ensuring enough people used it to make a profit, and having to undercut our competition on price.
Accomplishments that we're proud of
We’re so proud of our revenue model. It is very precise as we’ve averaged the prices of our materials and put together an algorithm telling us just how much each element needs to cost or be sold for.
What we learned
We learned just how much money businesses need to operate, but also just how big the reward can be.
What's next for QuickJump
After seeing our projections, we will no doubt be making an attempt at it on a smaller scale this winter.
Built With
excel | QuickJump | Safe, quick, and accessible jumper cables | ['Arman Murphy', 'Griffin Streed'] | [] | ['excel'] | 28 |
10,187 | https://devpost.com/software/adhd-diagnosis-game | login
game 2.2
game 1
home
game 2.1
ADHD Diagnosis Game
We have designed a game which identifies early signs of ADHD in children by tracking the exhibition of common symptoms such as self-focused behavior.
Inspiration
ADHD is a common mental illness in many children which we've seen throughout our lives. One member drew inspiration from a piano teacher's son who had ADHD but wasn't diagnosed in years. We hope to design a fun and interactive app which allows kids to play games. When they play the games, they are given a "score" for common symptoms of ADHD. Using these games and the scores, obtained through machine learning and statistical procedures, we try to give users an ADHD index.
Our Solution
Games: Passive Diagnostics
Most kids are enticed by games, which lead us to create an app to
repurpose games to be a health asset
.
If we were asked to specifically focus, if we were given the ability to see what we are being tested on and how to do well, then a test often is lacking in certain areas. Games provide a method by which mental illness such as ADHD can be passively diagnosed, allowing the child to engage in the game and work with their natural reflexes while also testing these tendencies.
Game 1: Song Completion with a Team
For the first game, users are told to listen to a video of a song. Next, with two bots, the bots and user alternates through the lyrics with each player saying one word from the song. If someone messes up the song, all the players must restart.
This challenge attempts to focus on every symptom the user shows. To complete the song, the user has to focus on others, and they must wait their turn. Each song is a sizable length, so the user has to focus and try to finish the task which needs extended mental effort.
To create this, we used UiPath to scrape song lyrics and videos. The game is made with HTML/CSS/JS. To calculate the scores, a timer is used to measure response time. We measured for how different a time measure was from what was expected using a modified percentage of change formula. If it failed to reach the appropriate threshold, then we’d increase the final score using a modified percent of change formula. Finally, the average of all the scores were returned to conclude with a final score.
Game 2: Distribution of Tasks Amongst Agents
For the second game, users must begin by reading the full set of instructions, as the game is quite difficult to play without context. This passively tests a user’s ability to focus and read the instructions.
Next the user is given a certain number of tokens. These tokens will speed up the agents, and it is the user’s job to distribute them such that as many of the agents are able to reach the other side before time runs out.
This tests a user’s tendency towards self-focused behavior by whether they focused entirely on bringing only a select few to the other side or not.
To create this, we used the HTML5 Canvas to render the agents and their setting - in this case, a swimming pool. The agents were simple unicodes represented as classes which were regularly updated using best practices(requestAnimationFrame as opposed to setInterval). The scores were calculated by simple linear regression, taking each of the swimmers and the number of times they were given a token. We found the slope for the function of the number of times they were given a token and then calculated the score with 1/(slope), which normalized the data into the range [0, 1]. The smaller slope is, the larger the score, and the smaller the distribution between the swimmers and their speeds.
Smaller features were added as well, including a back button to reroute to the past page and a loading icon for when the code was attempting to send a POST request to the database. The POST request utilized XMLHttpRequests and the callback for the request handled several different potential events: given that the user could not access the database, the loading icon would turn red as a warning sign that their progress had not been synced, or the loading icon would go away, representing that the POST request had been successfully submitted, received, and handled appropriately by the backend.
Symptoms we are checking
At the end of each game, a user will get a score for each of the traits:
Self-focused behavior - In a team needing to work together
Trouble waiting their turn - Have to watch a tutorial on how to do everything
Unfinished tasks - Missions that are relatively long
Lack of focus - Missions that require focus
Avoidance of tasks needing extended mental effort - Can choose and exit missions that require a lot of effort
Challenges we ran into
Deciding the proper structure of our application
Providing a level of clarity while also working semi-independently
Working with teammates in different time zones
Technologies used
MongoDB - to store user login data and the score of the central five traits
NodeJS - to create APIs and to connect to the MongoDB database.
HTML - for Front-End
CSS - For Front-End styling
Javascript - For the functioning of games as well as sending, receiving, and processing HTTP requests.
UiPath - for getting data for song lyrics
What We Learned
How to work through different time zones
How ADHD is diagnosed
How to score different factors from a game
Different distribution algorithms and methods
Next Steps
Next, we hope to better integrate all the games and add more to cover more symptoms of ADHD or expand to other mental disorders common for children. Also, we may incorporate a single big game instead of party-game style.
Built With
atlas
canvas
css3
html5
javascript
mongodb
node.js
Try it out
github.com | ADHD Diagnosis Games | A game which identifies early signs of ADHD in children | ['Mudit Mittal', 'Shreya C', 'Imad Eddine LASSAKEUR', 'Sarah Cross'] | [] | ['atlas', 'canvas', 'css3', 'html5', 'javascript', 'mongodb', 'node.js'] | 29 |
10,187 | https://devpost.com/software/patientcomm | App Logo
Inspiration
We were inspired by the courageous actions of healthcare workers during the Covid-19 pandemic, we decided that we wanted to do something to help them. We learned that communication errors between hospitals often resulted in an unfathomable amount of deaths. We decided that this issue could be solved in a way that also improves doctor-patient care by analyzing patterns.
What it does
Our application serves to provide medical information in laymen terms through web crawlers and distinct databases, connect patients and doctors across the world using real-time anonymous health care databases, and facilitates the exchange of past medical information for consulting or transition purposes.
How we built it
Our application utilizes Swift for the front end of the application, Python for the data handling and Machine Learning Models and Firebase API’s for data storage. We employ modern levels of encryption layered on top of our custom Blockchain framework in order to adhere to HIPPA guidelines.
Challenges we ran into
A primary issue of ours was employing our data searching API’s since we often received information that was full of jargon and replicated the problem we intended to solve. To combat this, we employed a supervised learning algorithm that would take in an index of the simplicity of data. After labeling the text, the ML algorithm picked up on more useful data and treatments that would be displayed to the patients. Another problem we faced was determining the number of groups for the K-Means Clustering algorithm. We employed an elbow test and used basic calculus to determine the optimal number of groups and set up an early stopping point so that patients would still have multiple choices.
Accomplishments that we're proud of
We were able to successfully identify a problem, model a solution, create a prototype app, as well as create an effective business model in the span of 3 days, and we had fun while doing it.
What we learned
We learned teamwork and effective management of time in a situation where wasting time was not an option.
What's next for PatientComm
Next, PatientComm hopes to communicate directly with Hospitals after developing fully functional software from the prototype.
Built With
firebase
python
rest
swift | PatientComm | We want to save lives by reducing error in the medical field caused by the incomplete and non-standardized methods of transferring medical records as well as improving doctor-patient care. | ['Saketh Damera', 'Akshat Pant', 'Aashi Agrawal', 'Srikar Parsi', 'Hetvi Shah'] | [] | ['firebase', 'python', 'rest', 'swift'] | 30 |
10,187 | https://devpost.com/software/asthma-alert | Home Page with Emergency Buttons
Data Analytics Page
Registration page question
Inspiration
Saber's Story:
When I was in middle school, I went on a trip to India. On the plane ride back, my sister had an attack. As soon as we landed, we rushed her to the ER in America. To this day, we still don't know what caused the attack. It could've been the altitude or it could've been the bad air pollution in India or a combination of both; if we were to go again, we would be unprepared like we were in the plane.
Many of our team members have had asthma affect our lives personally. Both Veer and Saber experienced asthma at a young age and have family members who have asthma. We've noticed that many members of our community—friends, colleagues, and family—have experienced asthma and have had potentially life-threatening attacks, taking them to the ER.
What it does
Our application has three main purposes:
An emergency button which a user can press during an attack to contact their loved one.
Real-time APIs which collect data from your location and uses machine learning to alert you when you're in a potentially hazardous location (i.e. the chance of you having an attack is high).
Machine learning to predict what triggers your unique asthma attacks.
How we built it
In order to develop our project, we used Flutter for the frontend mobile app, and created our own Flask REST API from scratch for the backend. We also integrated several APIs such as Google Cloud’s Elevation API to gain access to the environmental factors that affect Asthma such as elevation, pollen levels, humidity, temperature, and air quality index. Finally, we used both two database services: Firebase for user authentication and login and MongoDB to store data related to the environmental factors
Alert
The first core feature is the alert feature. In order to predict and alert the user of a potential attack, we used flutter’s geolocator plugin to retrieve the coordinates of the user asynchronously. Then, after finding the pollen level, humidity, temperature, elevation, and air quality index at the user’s location, we used a random forest classification algorithm trained on 10,000 observations with 99.5% accuracy to predict whether the user is prone to an asthma attack at his current location.
Factor Identification
In order to identify the most important contributing factors, we read through the factors which were present at high levels during the recorded attacks. We used a second machine learning algorithm and performed a statistical analysis to determine outliers from the data which could be potential triggers that the user didn’t know. This algorithm creates a confidence interval. If a value is statistically significant, the algorithm proposes that the factor could be a trigger. This data is also displayed in a bar graph. Overall, this feature helps users understand why they had an attack and gives them data to be prepared for future attacks.
Challenges we ran into
Our major challenge was combining the Flask with Flutter. To do this, we created an API using Flask. One of our first challenges was mounting our Flask server on Heroku. We kept on getting errors, so we ended up having to add the functions one by one to debug. In addition, we had to find a way to change the matplotlib.pyplot graph to a base64 string to send it to Dart to be compatible. We also had to figure out how to get Dart to send the requests and access the data from the Python and DB. Finally, the most challenging part of the project was that our team learned the new language flutter as well as how to build REST API's in order to develop the mobile application and the backend.
Accomplishments that we're proud of
We're proud that we were able to get the app functional after many trials and errors. The integration of the flask api and the flutter was really challenging, but we are proud to have learned how to accomplish that successfully. Finally, we are proud of learning how to build a complete REST API with Flask from scratch for the first time, incorporating 2 machine learning algorithms with our API and Flutter, and and getting our api deployed on a web server succesfully!
What we learned
Overall, we learned:
How to connected Flask and Flutter together to create a nice mobile app with powerful machine learning.
We learned how to use Flask as an API.
We discovered new APIs and accessed them.
What's next for Asthma Alert
We hope to create a more robust version of our application. Once we iron out some bugs through testing, we hope to see if we can make it a startup and push it out for our community and the world to us.
Built With
firebase
flask
flutter
google-cloud
machine-learning
mongodb
python
rest-api
sklearn | Asthma Alert | A mobile application that helps asthmatics by alerting them when they are in high risk areas and helping them identify the factors that contribute most to their asthma. | ['Veer Gadodia', 'Shreya C', 'James Han'] | ['1st Place'] | ['firebase', 'flask', 'flutter', 'google-cloud', 'machine-learning', 'mongodb', 'python', 'rest-api', 'sklearn'] | 31 |
10,187 | https://devpost.com/software/lezend-of-zirconis | Inspiration
When one mentions the entertainment industry, most people would think about films and music. Many people watch the Oscars, Grammys, Golden Globes, MTV Video Music Awards, BRIT Awards, etc.
Of course, there is a lot of glitz and glamour in the film and music industries. But would you be surprised to learn that these two are not the top-grossing sectors in entertainment?
As a matter of fact, these two put together do not even match half the revenue the video game industry is earning. According to the latest figures, the video game business is now larger than both the movie and music industries combined, making it a major industry in entertainment.
This year, the global games market is estimated to generate US$152.1 billion from 2.5 billion gamers around the world. By comparison, the global box office industry was worth US$41.7 billion while global music revenues reached US$19.1 billion in 2018.
Consider the top blockbuster movie to date, Avengers: Endgame. When it premiered on April 16, it raked in over US$858,373,000 during its opening weekend. It even surpassed last year's Avengers: Infinity War, which generated US$678,815,482 in gross revenue.
But while these films received so much attention and hype from the general public, they failed to outperform the highest-grossing entertainment launch in history, Grand Theft Auto V’s release back in 2013, which earned US$1 billion in just over three days.
Hence I would like to have a gaming startup.
What it does
It is a Story Based RPG game.
How I built it
Built on unity3d, all the UI designs and elements are built on photoshop.
Challenges I ran into
Developing elements for graphics.
Accomplishments that I'm proud of
Being able to build it within a day.
What I learned
I actually learned quite a lot about the ups/downs that the gaming industry faces, what kind of games actually take the world by storm.
What's next for Legend Of Zirconis
Complete the game look for producers to work with, and release it to production as the first official game of the startup that I would want to have.
Built With
c#
photoshop
unity
Try it out
github.com | Legend Of Zirconis | Reality is Brutal. Its time to face it. | ['Vasa karthik'] | [] | ['c#', 'photoshop', 'unity'] | 32 |
10,196 | https://devpost.com/software/minus | Minus - Become a better you.
GIF
GIF (CLICK PLAY) Offsetting - Offset your emissions from any trip where you can learn more about the organization and pay.
GIF
GIF (CLICK PLAY) Profile Statistics - View all past trips and visualize your emissions daily, or through a monthly view.
GIF
GIF (CLICK PLAY) Community Leaderboards - Compete against friends and the global community to offset the most carbon emissions!
The Community Screen - View daily, weekly, monthly, and all time stats amongst friends and the global community.
The Emission Offset Screen - See various environmental initiatives to offset your emissions.
The Profile Screen - See graphs that depict your emissions through a week or month.
The Post Trip Details Screen - View a map of your trip and all related info.
-----------------
For the screenshots above, the first 5 are media - click play to get the best experience!
-----------------
MOTIVATION
When we sat down as a group to decide what problem we could target, we came across something that happens every day, yet goes
completely unnoticed
. In layman’s terms, we realized that while everyone releases carbon emissions during their daily or weekly travels, truly, no one is able to visualize or understand their impact on the environment because there is no way to track their emissions. Thus, the idea of
MINUS
was born, focused on educating individuals to
reduce
their emissions by bringing awareness and having a social aspect to it all by being able to compete with friends for the lowest emissions.
WHAT IT DOES
As stated before,
MINUS
creates a community focused around emission awareness. The basis of the app is simple: start the app and log your trip. Using the Google ActivityRecognition Client, we are able to automatically detect the form of the vehicle the user travelled on during their trip. Using that information, we then apply the emission rate for that form of vehicle and calculate their total carbon emissions.
Simply knowing their emissions wouldn’t be enough though. We knew that we had to implement a way for users to use this info and educate themselves and give back, and thus, we created the option to offset their emissions. Offsetting is a simple, but powerful concept - our app calculates the dollar amount that would offset their emissions during the drip. For example, in the trip demonstrated in the app, a donation of $5.78 would offset the carbon emissions during the 3.2-kilometre trip.
From any trip (or by accessing their trip history), users can offset a trip of their choice by donating to organizations such as The Rainforest Foundation or the Sustainable Urban Development Association. These organizations are a great way to take accountability for your emissions by giving back to the environment!
The community tab is a great way to bring a sense of social interaction into this app. From this menu, you are able to see which of your friends has offset most of their carbon emissions and furthermore, you are able to see your ranking against the global community. For all rankings, you can sort by daily, weekly, monthly and all-time.
The profile tab houses information all about you! From this menu, a visually appealing graph depicts your carbon emissions by month, with an option to see stats by day.
HOW IT CAN BE IMPLEMENTED
The beauty of
MINUS
is that it tracks available data and creates a community based on emission awareness. Countries around the world can implement
MINUS
as an emission reduction incentive, similar to other energy incentives where customers get rebates when they get renewable energy sources like solar panels. With the tools at their disposal, countries can allow users to redeem their donations for free access to city recreational facilities or early access to events. Or, the classic rebate system works just fine as well, with countries being able to set a targeted threshold and users who achieve weekly emissions results below would be able to get cashback or rebates an incentive to continue lowering their emissions. Truly, there are an enormous amount of possibilities in the way a system like ours can be implemented across a city, nation or even worldwide.
HOW WE BUILT IT
Our team built
MINUS
with Flutter, an SDK developed by Google to build native interfaces for Apple and Android platforms with one codebase. This provided us with the tools to create an appealing user interface as well as the integrated animations that enhances the user experience and flow between menus. The user authentication and database were handled with Firebase Auth and Cloud Firestore. We stored the individual users under each document in an organized manner to maximize the efficiency in querying data to the app. The Google maps API was utilized to create aesthetically pleasing maps to keep track of and to calculate the distance the user has travelled in order to determine their carbon emission. Google Activity Recognition API was used to dictate the type of vehicle the user is in since the calculation will defer according to their vehicle of choice.
CHALLENGES WE RAN INTO
The major challenge we ran into was creating the Flutter application in accordance with the design mock-up we made during the planning phase of the development. We had a grand vision for what we wanted the app to look like, but due to our limited skill with Flutter and the given time frame, we were unable to implement our vision to the fullest. The animations were especially challenging to implement in the given time frame as time-based code caused a plethora of cascading issues. Another issue was the lack of documentation on Flutter integration with the Google Maps API due to the SDK still being in its Beta phase, which left us to learn primarily on our own and a lot of debugging to get it to work. Moreover, we had trouble with the Activity Recognition Client because it was a new API that we were new to. The Firebase Cloud Store queries were difficult to implement for different leaderboards dynamically where it updates every time someone offsets their carbon emissions.
WHAT WE LEARNED
We learned to utilize the Google Maps API and Google Activity Recognition API to its full extent. This included, formatting physical markers, direction lines, vehicle detection, and tracking a user. Not only that, we improved our previous knowledge on Flutter. Integrating animations and transitions to the app was something we have never tried before. Firebase was a technology we have used before, however, we learned to use more dynamically for much larger models.
ACCOMPLISHMENTS
We set our vision on developing an app that creates awareness and offsetting the rapidly increasing CO2 levels. The main accomplishment was achieving this vision we had in mind and if launched, we believe that this app could really revolutionize the way we reduce our carbon emissions. Other than that, we are very proud of all the skills we learned along the way that will surely help us when making an app in the future such as working with Firebase, Google Maps API and Flutter for the front-end design.
WHAT’S NEXT FOR MINUS
We’re quite proud of what we were able to accomplish in the short time allocated, but we still believe there is room for improvement. For one, we didn’t have enough time to get animations down perfectly, and doing so would fully enhance the UI and create fluidity from menu to the menu. Next, we wish to implement a dataset that tracks the emissions by the exact make and model of the car. By doing so, users can get an even more accurate report of their emissions during their trips and make even better choices for the environment. Once we have all the problems fixed and sorted out, we want to publish
MINUS
to the global market and truly make a difference.
Join MINUS.
Become a better you.
Built With
flutter
google-directions
machine-learning
mongodb | MINUS | Everyday commutes are now an opportunity to give back. MINUS tracks your carbon emissions everyday and gives you the tools to create impactful change see your ranking amongst the community. | ['Mashrur Chowdhury', 'Philip Choi', 'Moe S'] | ['First Place Overall'] | ['flutter', 'google-directions', 'machine-learning', 'mongodb'] | 0 |
10,196 | https://devpost.com/software/tumbleweed-go | Tumbleweed GO
A diagram depicting how each component in our project connects with the others.
A screenshot of our web app showing tumbleweed movement on a map.
Screenshots of our mobile app.
Inspiration
Problems are solved when people get involved. This is why we decided to use gamification in our project so that people can stay engaged and motivated to help solve real-world issues, similar to our two sources of inspiration, Pokémon GO and
FoldIt
. Pokémon GO motivates people to get outside and participate in an activity and FoldIt makes contributing to a real cause fun. Combining these two main ideas is how we landed on Tumbleweed GO.
What it does
Tumbleweed GO crowdsources tumbleweed containment to the general public.
With our user-friendly mobile app, users can upload photos of tumbleweed in their neighborhood to alert authorities of rogue tumbleweeds. The tumbleweed’s location will be recorded in our database without delay. Of course, we need to validate our users’ images, so we use image recognition to filter out pictures that do not contain tumbleweeds.
Our web app displays our database data, and using wind speeds at each tumbleweed’s location from the American National Weather Service API, we approximate the locations of each tumbleweed a few days in the future. We then display this data visually in our web app, giving users access to information and the ability to take action.
How we built it
We attached a diagram of how the components of our project interact with each other to this post.
We built our mobile app using Flutter.
Our web app is built using React. Our UI library is Material UI, and we’re using OpenLayers as our world map library.
Our middleware is built with Node.js. Specifically, we’re using an Express.js server and a Firebase database. For image recognition, we are using Google Cloud Platform’s machine learning libraries. We also use the American National Weather Service API to predict tumbleweed movement.
Challenges we faced
We’ve had issues working with the Google Cloud Platform, but throughout the day (and night) we’ve learned how to properly use this tool for our project.
Another challenge we faced is that our machine learning library cannot recognize tumbleweeds. We’re working around this problem by using related objects (e.g. plants) and considering other image qualities (e.g. colour).
Accomplishments we’re proud of
This Hackathon was the first time any of us ever used image recognition, so we’re proud that we were able to learn to use something new and apply it to our project within the given time.
What we learned
We learned the following technologies during this Hackathon:
Flutter
Google Cloud Platform (Google Vision AI)
OpenLayers
What's next?
Moving forward, we hope to continue adding features to make our tool even more insightful and user-friendly.
Right now, our product cannot detect obstacles that tumbleweeds can run into. We might be able to include topological (elevation) data and other landscape features (e.g. lakes) in our tumbleweed prediction algorithm.
Built With
express.js
firebase
flutter
google-cloud
material-ui
node.js
react
Try it out
github.com
github.com
github.com | Tumbleweed GO | Every year the invasive tumbleweed causes accidents, road clogs, and buried buildings. Tumbleweed GO provides local authorities with the tools needed to quickly respond to pile-ups and prevent growth. | ['Emily Yu', 'Max Huang', 'Logan Mack', 'Daniel Cheung'] | ['Second Place Overall'] | ['express.js', 'firebase', 'flutter', 'google-cloud', 'material-ui', 'node.js', 'react'] | 1 |
10,196 | https://devpost.com/software/one-life | Inspiration
Dear Judges, in order to gain a better understanding of our project and its strong connection with civic engagement, we would love for you to gloss over page 6 of this WHO report :)
https://apps.who.int/iris/bitstream/handle/10665/252071/WHO-MSD-MER-16.6-eng.pdf;jsessionid=BF40C14B3E1CB512CFC9C8F12D998DAE?sequence=1
Problem
Suicide and depression are major national public health issues in countries such as the United States. Just between 1999 and 2014, the average, adjusted for age, annual U.S. suicide rate increased by a staggering 24%. Furthermore, according to NIH, an estimated 17.3 million adults in the United States have at least one major depressive episode. This number represents 7.1% of all U.S. adults. These shocking statistics is what makes suicide and depression a major public health issue across the nation, and it demands a solution to effectively address the problem at this very moment.
According to research from the WHO, Preventing suicide can have a positive impact on communities by:
Promoting health and well-being of community members
Empowering communities to identify and facilitate interventions
Building capacity of local health-care providers and other gatekeepers
However, the problem is that most people lack the preparation and confidence to truly help someone with suicidal tendencies and make a difference.
Civic Engagement and Community Importance
Governments all across the world need to take a lead in suicide prevention in order to develop and implement comprehensive multi-sectoral national suicide prevention strategies.
However, research from the WHO suggests that variations in the suicide rates within countries indicate that top-down suicide prevention must go hand-in-hand with local bottom-up processes. Hence, communities play an essential role in suicide prevention when they provide bridges between community needs, national policies and evidence-based interventions that are adapted to local circumstances.
Prevention of suicide cannot be accomplished by one person or institution alone; it requires support from the whole community. The community contribution is essential to any national suicide prevention strategy. Communities can reduce risk and reinforce protective factors by providing social support to vulnerable individuals, engaging in follow-up care, raising awareness, fighting stigma and supporting those bereaved by suicide.
More importantly, communities can help by giving individuals a sense of belonging. It is essential to understand that the community itself is best placed to identify local needs and priorities.
Confronting and helping someone dealing with these challenging problems can be difficult and daunting that not many have experience with. Thus, we aimed to improve community knowledge on the topic of suicide and depression, and to prepare members incase they ever need to help someone through a tough time.
Solution
Therefore, we decided to create OneLife, a health web application aimed at equipping community members with the necessary tools to help people in their community suffering from suicidal or depressive thoughts. Furthermore, with our get help and forum features, our application fosters a positive and supportive community, which is the key to preventing suicides.
What it does
OneLife supports people with the tools to help someone in their community suffering from depression and suicidal thoughts, using machine learning to identify suicidal and depressive thoughts in messages, which can be pasted into a text box or uploaded through an image. Through the get help page, the community member or the suicidal person can find local therapists through one quick press of a button. The forum page fosters a collaborative and supportive community for community members to engage in conversations, as well as communicate together with therapists.
OneLife also has a twitter bot which identifies suicidal and depressive messages from social media chats, and sends consoling messages to victims with the National Suicide Prevention Hotline.
How I built it
In order to build our web application and twitter bot, we used:
Flask
HTML/CSS/JS
Python
Google Cloud: Places and Maps API
Machine learning: Bayesian classifier
Data scraping from various subreddits to create a custom dataset
Socket.io for the real time chat
Twitter API for the twitter bot
Challenges I ran into
The first big challenge we ran into was how to find an appropriate dataset in order to train our machine learning model. After a lot of researching and learning how to web scrape effectively, we were able to scrape information from the r/Depression, r/SuicideWatch, r/CasualConversation, and r/All subreddits. Furthermore, the reddit API only allowed a maximum of 100 posts, so we had to learn how to use a wrapper tool called praw in order to scrape 1000 posts from each subreddit. Another challenge was creating the chat feature in realtime. We learned how to use socket.io to create the forum and chat feature so that people can messages each other in realtime.
Accomplishments that I'm proud of
We are very proud to have developed a complete working web application. We are also proud to have learned to integrate new technologies such as socket.io, web scraping, and google cloud's Places and Map's API.
What's next for One Life
We hope to polish off some of the bugs from our code, and conduct more testing of our platform. Then, we plan to deploy it on a server, and release it as an open source project for people all over the world to build upon and learn from!
References
WHO, Preventing suicide: A community engagement toolkit, 2016 -
https://apps.who.int/iris/bitstream/handle/10665/252071/WHO-MSD-MER-16.6-eng.pdf;jsessionid=BF40C14B3E1CB512CFC9C8F12D998DAE?sequence=1
Praw -
https://praw.readthedocs.io/en/latest/
SuiSense Team
Try it out
github.com
github.com
onel1fe.herokuapp.com | One Life | Helping support community members to assist people suffering from suicidal and depressive thoughts through machine learning and automated bots. | ['Veer Gadodia', 'Nand Vinchhi'] | ['Third Place Overall'] | [] | 2 |
10,196 | https://devpost.com/software/espere | Our banner!
Inspiration
Upon researching the United Nation's Sustainable Development Goals, we took it upon ourselves to do further research into the situations of the less fortunate. To our surprise, we found that tens of thousands of people are homeless on any given day in Canada. Worldwide, the number of homeless people is a shocking 150 million. Of those people, few are able to gain access to basic human needs such as shelter and food. Although there are institutions that can help, it may often be difficult to locate them navigate to them. Espere makes this step easier and allows the homeless and less fortunate to easily locate beneficial services near them.
What it does
Our product, Espere, allows users to search for different services that they can take advantage of them. Using filters such as Adress, Type of Service (Shelter, Foodbank, Clothes Donation, etc.) and Type of Transportation (walking, biking, bus, car), our application offers a list of services that are tailored to the user, and are a feasible option in terms of distance.
How we built it
Our goal was to have an application that could seamlessly link the many APIs we planned to use with an easy to use frontend user interface. In order to achieve this, we firstly used Flask - a python microweb framework - to create an efficient and seamless backend to easily work with the various APIs we used. However, in order to maintain an easy to use frontend user interface, we chose to use Flask to serve a Vue.Js application. Vue Js - an MVVM Javascript framework - is ideal for smaller one page applications, which made it a great fit for Espere. This application connects to two main APIs. Firstly, the Foursquare Developer API was used to find nearby services given the user's location, and display details regarding each service. Secondly, the Google Maps API was used to display the location of the service the user has selected, and to easily show navigation options to reach the desired destination.
Challenges we ran into
One major challenge we ran into was the fact that our app's combination of Flask and VueJs was very unique, and many of the APIs and services we planned to use did not offer much information regarding integration that would work with Flask and Vue. This resulted in a lot of time being spent in error handling and debugging. Although this roadblock was time-consuming, we were able to overcome this limitation and complete our application.
Accomplishments that we're proud of
Our team is very proud of what we have accomplished in the last 24 hours. Firstly, we are very proud that our user interface is elegant, visually pleasing, and very easy to use. Secondly, we are incredibly proud that we were able to successfully meet the goals we had set out for our backend. Using multiple frameworks, managing several APIs, and managing work between a team of 4 people was definitely challenging, but after accomplishing this task we have learned a lot and developed our skills as software developers. We look forward to attending another hackathon!
What we learned
Although we learned many new software skills and frameworks like Flask, Vue, API integration, and many more, I feel the most important takeaway from this hackathon was the importance of team collaboration and communication. I found that when we were able to communicate well, we worked much more efficiently and synergized well. On the other hand, there were times where we struggled, as we weren't effectively communicating. This lesson will carry forward with us in our education, careers, and beyond.
What's next for Espere
We believe that although our product is well rounded in its current state, we believe that it can be further improved upon with the addition of user accounts. Features such as a favorites list (where users can store the information of frequently used services) and a user preferences tab (where users can define their location, gender and age to automatically tailor searches) is on the horizon for Espere. We hope to continue updating and maintaining this application for a long time after this hackathon.
Built With
flask
foursquare
google-maps
javascript
python
vue.js
Try it out
github.com | Espere | SDG: Good Health and Well-Being - Goal 3 AND Zero Hunger - Goal 2 | ['Jerry Cheng', 'George Liu', 'Aadi Anjaria', 'Aurko Nandi'] | ['SDG Category 1 Winner - Basic Human Needs'] | ['flask', 'foursquare', 'google-maps', 'javascript', 'python', 'vue.js'] | 3 |
10,196 | https://devpost.com/software/envirolynx | Enviro Lynx
Biome Selections
User Simulation Choice
Water Quantitative Data(Estimates Year)
Land Year Estimation(Estimates values of quantitative Biome Properties)
Introduction
We are a group of high-school students from Ottawa, Ontario, passionate about the environment and STEM. Through Enviro Lynx, we aim to overlap these two unbridled passions of ours, to come up with coherent solutions to one of humanity's greatest antagonists → Environmental Problems. Thus, we embarked on a journey to develop the greatest tool that will allow nations to project precise representations of future environmental conditions. After not seconds, nor hours, but…. a full day of intense data collection, project development and persistent piloting, we have ultimately produced the ideal tool that will drive nations towards a sustainable future. Introducing…. Enviro Linx!
Inspiration
The environment has been changing at intractable, unprecedented levels for the past several centuries. Global temperatures are at the pinnacle of human existence, and uncontrollable changes in the environment are growing more and more out of hand each year. To compound this issue, humans have been consuming Earth’s natural resources at rates devastatingly beyond what our world can regenerate. As a result, the devastating repercussions of our actions are becoming evident --> We risk exponential losses of ocean/land life, and are on track to be encountering unsustainable living conditions for our future generations. If no immediate action is taken, according to the UN Intergovernmental Panel on Climate Change (IPCC), the effects of environmental changes will become irreversible by 2030.
Driven by our passion to prevent the environment from wiping off human existence, and our ardent endeavors in STEM, our team proposes an application to help nations project estimated future environmental data and take relevant action in successfully achieving the environmental standards set through the United Nations Sustainability Goals (UNSDGs). More specifically, we provide blueprint data pertaining to UN SDG Goal 13 → Climate Action; UN SDG Goal 14 → Life Below Water; and UN SDG Goal 15 → Life on Land.
What it does
Our project uses a statistical approach to learning to visualize when futuristic environmental standards will be achieved.
How we built it
Our project uses a statistical approach to learning to visualize when futuristic environmental standards will be achieved.
Challenges we ran into
Some challenges we ran into include often not keeping the end-user in mind. We often failed to contextualize the prospective repercussions that may be associated with the entire Ministries of Nations using a single product to model future environmental conditions. This led us to commonly overlook minor details that may make a huge difference in the market. Other common challenges we faced were time estimation inaccuracies and of course --> debugging.
Accomplishments that we're proud of
We are proud of our communication and productivity. Although our time estimations didn't always go as planned, our overall work was quite consistent with our schedule and our final objectives were always met.
What we learned
The main lesson we learned through this process is that organization, a solid structural layout, compounded by good communication, is key when it comes to a successful hackathon.
What's next for Enviro Lynx
Our next objective will be investing time and effort towards the promotion of our product. We will also conduct a multitude of tests in a multitude of scenarios, with the end-goal of translating our piloting into the production of a solid, responsive, and efficient product.
Built With
analytical-path
bootstrap
flask
jquery
python
statistical
Try it out
github.com
www.envirolynx.com
drive.google.com | Enviro Lynx | Enviro Lynx is a model that uses a statistical based approach to visualize when futuristic environmental standards will be achieved based on current projections. | ['ATEEB FAIZI', 'Jason Wei', 'Matthew Biniam', 'Derek Huynh'] | ['SDG Category 2 Winner - The Environment'] | ['analytical-path', 'bootstrap', 'flask', 'jquery', 'python', 'statistical'] | 4 |
10,196 | https://devpost.com/software/kindkart | Submitting a code on Patagonia
Looking at A & F's ethics ratings
Inspiration
Our inspiration came from the United Nations’ global industry goals to create a chrome extension that makes it easier to support ethical online businesses. It's hard to know where your money goes. Ethical shopping is becoming an ever-more complicated devotion with the infinite number of online shopping options. You want to stick to your principals without breaking your budget or wasting time. We were inspired to build a chrome extension to help make ethical shopping accessible to everyone, regardless of time or budget; so that you can rest assured that your money is supporting ethical businesses.
What it does
KindKart is a chrome extension that allows users to see Ethics reports, view alternative shops, track your shopping and help you save! KindKart reports on five major pillars of ethical businesses, as well as overall commitment to ethics. It helps you find alternative shopping options that better fit your principles as a shopper. KindKart also tracks your savings and reminds you to use it for good and enhances your online shopping experience with exclusive coupons suggested to you by KindKart.
KindKart also fills the following goals:
How KindKart fits in each Catagory
Decent Work and Economic Growth: KindKart rates worker’s empowerment and supplier relations to ensure that prioritizing decent work and economic growth is easy.
Industry, Innovation, and Infrastructure: KindKart doesn’t reject online shopping and innovation but allows them to be more ethical so that people can feel confident when supporting the industry.
Sustainable Cities and Communities: KindKart also rates the environmental sustainability of a company.
Responsible Consumption and Production: KindKart has a feature to show similar products on Ebay or Etsy which often features smaller businesses. This promotes responsible, small scale production.
How we built it
KindKart is a chrome extension built using javascript, html, and css. We used resources including firebase, pattern matching, and github. We first worked on making a promo code extension, then added a database of ethics ratings of popular stores. After that, we added an alternative website locator, as well as linked to a suggested place to donate with user’s savings. We did the testing through the browser and browser console.
Challenges we ran into
Webpage challenges:
Creating github domain name
Glitching on mobile site
Chrome extension challenges:
Getting dynamic links to work
Setting up a firebase database
Making promo codes copyable with a click
Making the alternate links recommendations
Making a larger popout window that is triggered by an online retailer’s checkout page
Accomplishments that we proud of
The way we divided up the tasks amongst all group members and how well we worked together as a team made us proud. We are also proud of how we were able to create a responsive website and functional web extension in less than 24 hours. We were able to implement many useful features in a short amount of time.
What we learned
In order to make KindKart a reality, we learned about firebase, web page design, chrome extension development, and javascript. There were a lot of obstacles - none of us had ever made a chrome extension or used firebase before. Most importantly, we learned that ethical shopping isn't an easy task and many online shoppers are not aware of where their money goes.
How to install
To install, download the zipped file on github, which can also be found on our website. After extracting, visit chrome://extensions/, making sure you’re in developer mode. Select “load unpacked” and enter the file path for the downloads. From there you should be able to manage KindKart like any other chrome extension.
We plan on making KindKart more easy to download after we have the correct licensing to make it available on the chrome extension store.
What's next for KindKart
We plan on adding a local businesses function so you can support small businesses in your own community, as well as upgrading the donation feature to be more direct. We hope to include more industries to our extension’s database so consumers can depend on KindKart for all kinds of purchases.
Built With
css
html
javascript
json
Try it out
mary1afshar.github.io
github.com | KindKart | Add kindness to your Cart! | ['Maryam Afshar', 'Shahrzad Islami', 'nadine pigida', 'Georgia Berg'] | ['SDG Category 3 Winner - Industry'] | ['css', 'html', 'javascript', 'json'] | 5 |
10,196 | https://devpost.com/software/safe_protests | Cover image
Splash Screen
Splash Screen 2 (scrolled down)
Registration page
Website navigation
Create a new protest
View the list of protests
View further protest details
View the posts/updates for a protest
Safe_Protests
From the womens' suffrage movement to Martin Luther King Jr.'s rallies, citizens has always relied on protests and public demonstrations to make change happen. With recent events in mind, it is becoming apparent that protesters need a way to protect themselves and stay informed during the middle of a protest or strike. Safe Protests is an app for organizing and staying safe during protests, providing live updates from protest organizers, information about protester rights, marking dangerous locations on a live-updated map, and the ability to notify contacts with a participant's last location if something goes wrong.
We are addressing the "Community" category (SDGs: 16 and 17) and the "The Environment" category (SDG: 13).
Video Demo:
https://www.youtube.com/watch?v=yxYV8beeFKs&feature=emb_logo
What inspired you to make this product?
We were inspired by the recent BLM protests around the world after the death of George Floyd at the hand of a police officer. We wanted to create a web app that was able to help citizens safely practice their right to free speech and protest.
What does your product do?
SafteProtests is a web application that helps citizens safely organize and participate in protests. Users can submit information about a new protest to alert the rest of the users or view details on a protest happening near them. The web app also provides resources to aid a user during a protest. They can mark locations with heavy police presence or the use of force to alert other users. The app provides a page with information pertaining to users' legal rights during protest for three different countries. Finally, the app also provides a list of common tips so that the user can protest safely.
How did you build your product?
We built our product using the MERN stack (MongoDB, Express, React and Node.js), with React for the frontend and MongoDB, Express and Node for the backend. We also used serveral npm packages and API's including Twilio's API.
What challenges did you run into?
We initially wanted to create a mobile app using Android Studio, Kotlin and Flutter. However, some of our group members had trouble setting up Google Flutter on MacOS. Similarily, when transitioning to React Native we were unable to connect to our android simulator, thus we decided to leverage our knowledge of MERN and create a fullstack web application.
Are there any accomplishments you are proud of?
We're proud of our REST API server, which efficiently inserts and retrieves data from MongoDB to run all of the processes for the app. We're also proud of our integration with Twilio to send text messages as part of our "Emergency Button" feature, which sends a protester's chosen contact a message if the protester is injured, being detained etc. Furthermore, we are proud of the fact that we built our application's user interface from scratch, we didn't use any templates, styling packages or dependencies to design our project.
What did you learn through this process?
We learned how to effectively setup MongoDB, use twilio API, create an Express server, and route in React.
What's next for your product?
Next steps for Safe Protests:
Deploy our web app to Android and iOS. (the website is responsive and mobile friendly, but a native app would be a plus)
Expand the features available in the app (automated alerts in the case of police violence during rally's.
Utilize the web platform to its full potential - allow the organization of online, global-scale protests.
How to run the application
Run
git clone https://github.com/sunny-zuo/safe-protests.git
in your command line
cd
into the project directory
Open up two command lines, type
cd client
in one and
cd server
in the other
In each command line execute the command
npm i
to install all the required dependencies and packages
In the "client" directory, run
npm start
to initiate the React development server
In the "server" directory, run
node index.js
to startup the express server
You're all done!
Contributions
This project was made between July 18-20, 2020 for the SetHacks
Team members:
Carol Xu, Rahul Aggarwal, Sunny Zuo, Umar Yousafzai
Built With
express.js
javascript
mongodb
node.js
react
Try it out
github.com | Safe Protests | Keeping people safe during protests | ['Carol Xu', 'Umar Yousafzai', 'Rahul Aggarwal', 'Sunny Zuo'] | ['SDG Category 4 Winner - The Community'] | ['express.js', 'javascript', 'mongodb', 'node.js', 'react'] | 6 |
10,196 | https://devpost.com/software/supplant | Inspiration
Food posts and digital food trends have always taken the world of social media by storm. People frequently post pictures of their food online, and follow up on the latest food related trends. However, we often don't realize the significance of the production of food in relation to the environment. For the many foods we enjoy, the environment must pay the price, suffering from excessive carbon emissions. Our application which keeps track of your carbon footprint from the food we eat. Supplant allows making eco-friendly choices enjoyable, and convenient.
What it does
Our product revolutionizes the way we keep track of our carbon footprint by developing a mobile application that identifies ingredients of a meal, and calculates the carbon emitted to produce that meal, providing the user with eco-friendly ratings to push them to choose healthy food for both themselves, and for the environment.
How we built it
The application was developed using a react native, a universally used JS framework for building cross platform applications for android and ios. We used react native in a combination with Typescript, a open source language which adds strong typing to vanilla JS, and expo, an open source platform for building react native applications used to simplify development. The application features a clean, easy to use UI, as well as efficient and meaningful backend to process images and and fetch information of carbon emissions.
Challenges we ran into
Initially, we had a plan in mind with what API's we wanted to utilize in order to process the images of the user. The first API (Clarifai) worked well but moving forward, we realized that the second API (Eaternity) was not nearly as great. This second API had very confusing documentation and caused us to lose a relatively significant amount of time that could have been better spent on other productive means. Due to this roadblock in progress, we were effectively forced to resort to web-scrapping in order to construct our own database regarding food and carbon-density. Internet and technical issues between members of the team also proved to be rather inconvenient and as such, were challenges that we had trouble resolving.
Accomplishments that we are proud of
There are two main accomplishments that our team is proud of. Our user interface in particular, turned out to be very successful in being both clean, atheistically pleasing, practical, and easy to both use and navigate. As a key component in our project, getting the Clarifai API to function properly with the application is another accomplishment that we are very proud of. Seeing as how the API took many attempts and trials to get working, it was definitely also one of the more challenging accomplishments.
What we learned
There were a number of things that our team learned from the process. The most notable thing that we learned was that time management and organisation are subtle but key factors when it comes to working on an application (especially in the short time span of a hackathon). We, unfortunately, did learn this the hard way seeing as how there were a few decisions and mistakes that we made along the way which caused us to lose valuable time.
What's next for supplant
We believe that our product has a lot of potential and room for both improvement and adjustments. Firstly, it would come quite obviously that we would want to continue expanding our food-carbon database by either scrapping informative sites on the topic or other pre-exisiting databases. By this same token, we would also want to make sure that we continue to update our own database in order to provide the most accurate information possible. Database aside, we would also look into providing a "health" aspect to the application as well, possibly letting the user know if their meal is healthy or not (ingredients, nutrients, calories, etc.).
Built With
javascript
typescript
Try it out
github.com | supplant | A revolutionary mobile application to track your carbon footprint from the food you eat | ['Eshwara Chock', 'Evan Guo', 'Jeffrey Li', 'Vansh Sethi'] | ['Best Mobile App'] | ['javascript', 'typescript'] | 7 |
10,196 | https://devpost.com/software/offeye-o1mriw | Real-time multi-user chat rooms
Email automation command and recognition of similar words to suggested command
Automated job hunt newsletter
Automated database searcher results for high school students
Open up GitHub space for OffEye users
Admin only job posting opportunities
Job postings appearing on all accounts
Google Calendar event sending form
Event sent on google calendar
Chat history of user
Inspiration
According to the United Nations, over 75 million young people were reported to be unemployed. Especially during the COVID-19 pandemic, this figure is expected to rise. Thus, we have decided to create a multi-user real-time chat application that allows people to discuss the job searching process based on their level of education. Additionally, we have incorporated a bot that allows users to automate tasks normally done during job searching, such as automating subscribing to job newsletters and setting events through Google Calendar.
What it does
OffEye is a job search service that exists in the form of a chatbot webapp. The OffEye chatbot offers the ability for users to use command words to customize the job search according to their personal circumstances. When the user sees an event or job of interest, they can add it to their google calendar within the webapp. The chatbot also provides a platform for people with similar background to share their experience, as by using their education level we will be able to put them in different chatrooms. The chatbot also offers audio support which allows people with some degree of vision loss to also access the service through text-to-speech recognition. There is also an option (
which was not included in the video for sake of time restraints
) that enables users to check their chat history so that they are able to filter through all of their past messages.
How I built it
Using flask-socketio, we were able to run multiple threads on our server that enabled the real-time, multi-user component of our application, as well as running multiple chat rooms. By storing the login information in flask's session options and using a sqlite3 database, we were able to store the user's message. For speech to text recognition, I used the gTTS software that converted text to speech audio files and then played it on the frontend using Javascript. For automating sending emails, we used flask-mail and an smtp server. Ajax allowed us to add scrolling features to our chat conversations. The handling of admin privileges was a combination of storing the information on the sqllite3 database to block non-admins for authentication and using the Ajax to show and hide admin privileges. For the front end, simple Bootswatch Lux template was added to minimize the frontend design needed for the project.
Challenges we ran into
I have never worked with sockets and threading in Python before. Using flask, it was easier but was a steep learning curve, although I have had some previous exposure in Java.
Connecting the backend with the frontend was difficult because I had to retrieve the data from the database and then send it back to frontend so that the messages could show up on screen, and vice versa, because the messages had to be stored in the database.
The google calendar function is built using html and javascript with the integration of Google Calendar API.
Integration of automation tasks from Python to Javascript
My internet broke down and it was hard to run concurrently on the same localhost server
Accomplishments that we are proud of
This was my first time working with javascript and APIs so even the basic syntax was quite difficult to understand. The Google Calendar API was particularly hard to incorporate. There were many import packages in the IDE that were in different versions compared to the ones implemented in the Google Calendar API. I had a few files that crashed names with the node_modules so it caused circular path errors.
I am proud of finishing such a large project in less than 24 hours
I am proud of being able to execute email automation, text to speech recognition, and develop some minor nlp models
Creating an application that raises awareness for UN development goals
Authenticating admin users using flask database and jsonify objects
What we learned
I learned about how to integrate Google APIs into personal projects. In addition, I also learned about how to use bootstraps to style html.
I learned how to use flask and sqlite3 together. I have not had any previous experiences in Python web development, so it was interesting to see how it differed from Javascript web applications.
How broad and powerful Python is as a backend language in terms of automation
What's next for OffEye
Mobile responsiveness and deployment
Actual text-to-speech recognition rather than just sending in strings to get an output and then playing an audio file
Fix some of the minor bugs in terms of the html elements showing up for only admin users
Create 404 page errors for those who have already logged in
Integration of Google Calendar API with the flask application
Built With
ajax
bootstrap
css
flask
flask-mail
flask-socketio
google-calendar-api
gtts
html5
javascript
json
natural-language-processing
python
spacy
sqlite
Try it out
github.com | OffEye | A multi-user realtime application that enables people to discuss job opportunities and to automate tasks pertaining to job hunting like setting Google Calendar events and subscribing to newsletters. | ['Sharon He', 'Emma He'] | ["People's Choice Award"] | ['ajax', 'bootstrap', 'css', 'flask', 'flask-mail', 'flask-socketio', 'google-calendar-api', 'gtts', 'html5', 'javascript', 'json', 'natural-language-processing', 'python', 'spacy', 'sqlite'] | 8 |
10,196 | https://devpost.com/software/saharan-solutions-final | Inspiration
The under utilization of solar energy in the world inspired us to design this project.
What it does
This project tackes Goal 7 of Category 1 by providing a plan to harness the power of solar energy in the Saharan desert by creating a solar farm to meet all of the electricity demands of the world. The project is to be funded by several major investors who will then get to sell this energy, but at a cost equal to that of traditional energy sources.
How we built it
We used HTML, CSS, and Javascript to code the website, and used Java to code the simulation.
Challenges we ran into
We tried embedding applets, but weren't able to, hence we chose to use Javascript and the Java simulation instead.
Accomplishments that we're proud of
We were able to put in hard work and do something we've never done before.
What we learned
We learnt new languages, how to use github, and the fruit of perseverance.
What's next for Saharan Solutions: Final
We hope to further and advance this project pitch it as a plausible solution to Goal 7 of the SDGs.
Built With
css
github
html5
java
javascript
Try it out
bwyn149.github.io | Saharan Solutions: Final | Facilitating the transition to clean energy without sacrificing economic growth. | ['Vasundhara Bagchi', 'Bronwyn Walsh'] | [] | ['css', 'github', 'html5', 'java', 'javascript'] | 9 |
10,196 | https://devpost.com/software/helpinghand-2a8jrg | Inspiration
I drew inspiration for this project from around me in my life as right now I am doing a lot of volunteering and it is quite
difficult to find opportunities that are convenient.
What it does
The aim of the app would be to advertise near by volunteering opportunists or needed services such as donations so that you always know what you can be doing. In addition to that the user receives points and experience for every opportunity they complete, the experience contributes to leveling up and once you do you get more points, the points allow you buy coupons or deals at stores that offer them.
How I built it
I used Javafx and eclipse to build this demo like product.
Challenges I ran into
I ran into a few problems along the way such as not being as well versed in FXML as I anticipated and simply not having enough time to do everything by myself.
Accomplishments that I'm proud of
I'm proud that I was able to come up with an idea that I don't think has ever been done before and am excited to see how it will turn out as I continue it. I am also proud of how many new things I was able to learn because I felt I learned a lot about Javafx and FXML that I did not know before.
What I learned
I learned a lot about FXML, JavaFX and CSS. I went into this project thinking I knew a lot more than I really did and when I really took a second to look at all the tools that were available, I was only familiar with maybe half of them. I know am familiar with many more of them and am quite pleased with it.
What's next for HelpingHand
The next step for HelpingHand will be further development and continuing what I have been doing currently. I am very excited to see how the project will turn out in the future.
Built With
eclipse
java
Try it out
github.com | HelpingHand | An application designed for a smart phone that encourages people to be charitable and makes it easier for them to donate. | ['KN AH'] | [] | ['eclipse', 'java'] | 10 |
10,196 | https://devpost.com/software/style-sustainably | Logo
proposal p1
proposal p2
Today’s fast fashion scene is a $35 billion industry with giants such as Zarah and M&H dominating the destructive market. By 2030, we aim to divert $10 billion from annual fast fashion revenue into sustainable alternatives!
Taking on this challenge of constructing a product began with the opportunity for learning the realm of software development. Through this journey, we've experienced the processes of constructing Android Apps to creating websites. In order to seal the deal, we've learned to pitch our ideas in a marketable manner. Due to the short time frame, our team faced challenges in creating a proper Android application. Although we plan on continuing our learning by developing an application in our free time, we decided to overcome this hurdle by sticking to what we know best: website development.
Try it out
github.com | Style Sustainably | An online platform that strives to educate consumers about the societal and environmental impacts of today’s fast fashion scene. | ['Sharon Peng', 'Jason Li', 'Vishnu K', 'Scott Hopton'] | [] | [] | 11 |
10,196 | https://devpost.com/software/skinfriend | Camera screen (to click picture of skin disease)
Introduction
Meet Skin Friend, the app which will save thousands of lives. At Skin Friend, we aim to democratize and accelerate healthcare, by providing free cancer detection resources, in the palm of your hand. One in every three cancers is skin cancer. In the United States, the country with the highest number of cases (by a long shot), one in every five people gets skin cancer. That is 9,500 cases daily! This year, 196,060 Americans will be diagnosed with skin cancer, out of whom 6,850 will die. Throughout the entire world, 2-3 million people will be diagnosed with skin cancer and many will die because they aren’t diagnosed and don’t get help. But it doesn't have to be this way.
So far, we have only looked at people who are able to see doctors. 46 million Americans lack health care resources and are unable to access frequent medical checkups. That is 46 million people and counting under the radar! All diagnosed cases come from those who are able to meet medical professionals regularly, but what about people who do not have these resources? They won’t find out they have a disease and they won’t get the treatment they need as a result. That’s where we come in. Skin Friend builds bridges towards democratizing healthcare, meaning that people of all backgrounds, incomes, and situations, will be able to diagnose critical diseases easily, affordably, and rapidly. Considering the increasing severity of skin cancer, it is more important than ever to prevent deaths from this otherwise trivial condition. If skin cancer is diagnosed early, there is a 99% survival rate, and Skin Friend provides exactly that: rapid and convenient diagnosis. No longer do you have to wonder whether you should see a doctor or worry about your lack of healthcare for the random dark spot on your skin: simply scan your problem spot through our app, and receive a diagnosis in seconds. For free. Skin Friend allows the user to diagnose their skin problems early on, so if it is skin cancer, they can still have a high survival rate and get the help they need ASAP.
Narrated "pitch" audio further explaining the app:
https://drive.google.com/file/d/19Acb5ofDtEYd4W0IXOnQDLC-nKh5fjd-/view?usp=sharing
Inspiration
The Skin Friends team was inspired by personal experiences, whether it was sheer laziness to visit the doctors office when something minor happened (such as irregularities in the skin), and the shock that came with learning how many people are unable to regularly visit doctors. Our team acknowledges the privilege we have by being able to afford healthcare, so we decided to use this privilege to help others who lack basic necessities, especially healthcare.
Health care is a basic human need according to UN SDGs and we are glad to make an impact in it.
What it does
Skin Friend only requires a working phone with a camera (something which almost everyone has, 45% of world population including elderly and young kids). The introductory page features an intuitive step-by-step guide on the steps that need to be taken to use our app. Users are then given three options (in flowchart form for the suggested order). The first and most important feature is the diagnosis feature. Users are prompted to take a picture of their problematic skin area in the app. After taking the picture, users are quickly diagnosed with their skin-related issue. The other pages include an “information” page and a “contact” page, meant to provide easy access to doctors and hospitals if needed, and great customer service.
How it was built
After extensive coding and testing, we used a Convolutional Neural Network in TensorFlow to create a custom model with high accuracy for diagnosing skin cancer. Unfortunately, our ML engineers lacked a GPU, so we used Google Colab, which allowed us to test and edit much faster. We used pandas and numpy for reading and storing images. We also used scikit-learn for a few functions such as train test splitting. We used transfer learning with Xception as the base and added model layers on top. Our preprocessing and model training was all done in the cloud and we collaborated through Google Meet to discuss things live. This hackathon was also the first time our frontend developer programmed a full web app, which made SET hacks a front-to-end learning experience! We also used Canva to design our UI and screen recording software to record demo videos.
Challenges we ran into
There were multiple challenges, such as the model's long training time (taking hours at best) which reduced how much we could tweak and fiddle with parameters to find the best accuracy. We worked around them by doing most of the guesswork at the beginning. Other challenges included the preprocessing, which took a lot of googling to fully materialize and it took a while due to our limited processing power at home. The 12 hour time zone difference between our members was another huge challenge. We are proud that we managed to overcome our challenges.
Accomplishments that we're proud of
We're proud that throughout the numerous obstacles, we persevered and finally ended up with a product we can proudly call our own, and something that is incredibly socially beneficial. We are also proud of the knowledge we acquired along the way, which makes us better suited for future projects. We also went through some really mentally taxing periods, especially while pulling all-nighters due to time difference, and we're glad we didn't give up.
Also, the accuracy is very high for something done in such a short time and we are proud that we managed to bring it up to that level and we are sure we can improve it even further with more time.
What we learned
Throughout the whole process, there were countless learning moments, ranging from errors during frontend app development to learning the best model architecture and reading up on intense deep learning theory. Overall we now have a much stronger understanding of key concepts than we did when we started.
What's next for SkinFriend
As a team, we strive to code our way to a better healthcare system and a better future. In fact, our team plans to expand our app to not only skin cancer detection but also other external diseases such as eye conditions! We will use our experience gained from SetHacks to continue further. We hope to distribute our web app and get it used by hundreds of people in the near future.
Thank you so much to the organizers and judges for volunteering and making this event possible!
Built With
colab
css3
flask
html5
keras
python
tensorflow | SkinFriend | Skin Disease Diagnosis in the Palm of Your Hand | ['Pahel Srivastava', 'Andrew Gao', 'Rushank Goyal'] | [] | ['colab', 'css3', 'flask', 'html5', 'keras', 'python', 'tensorflow'] | 12 |
10,196 | https://devpost.com/software/roboticactivist-v-1-0 | Inspiration
Social media and information dissemination is all about appeal, but the messages of the United Nations Sustainable Development Goals are not nearly as presentable. What if there were a better way to spread this information?
What it does
Our product focuses on promoting SDG 14, Life Under Water. RoboticActivist automatically accrues followers, follows relevant users, identifies relevant posts, and reposts lesser known content while accrediting the original posters. By posting relevant community-driven posts, RoboticActivist seeks to spread knowledge far more effectively than traditional bots, and by using third party AI algorithms based on emotive and image recognition systems, irrelevant content can be kept to a minimum. This self-moderating approach prevents abuse of the system and enhances its longevity and legitimacy while deployed.
How we built it
Using multiple Instagram APIs like instaPy and instaLoader as well as Python packages like numPy, we were able to integrate our multiple features effectively, as well as further humanizations like the addition of relevant captions and the tagging of users improves the bot's legitimacy. The TextBlob API was used to provide tonal recognition of captions and tentatively classify them, allowing the removal of negative captions and content containing profanity.
Challenges we ran into
Our alpha builds of RoboticActivist struggled with InstaPy's API, as there were several issues within the package itself which rendered our work obsolete. In order to circumvent these problems, we reinvented our concept of the bot in a manner which was able to avoid the broken parts of the package. By combining the functionalities of different APIs, we avoided these issues.
Instagram's anti-spam functions impeded RoboticActivist's autoposting and auto-following routines due to short delays between posts. We hope to implement additional humanization features in order to prevent detection and identification as a bot.
Accomplishments that we're proud of
Successfully redistributing smaller posts within environmentally-oriented hashtags with full credit to the owner, in order to promote grassroots social media campaigns.
The full integration of multiple programming APIs and bundles to create a fully functional, fully integrated system which adequately works and can organically accrue followers. Bonus points: none of us had any prior experience with web APIs and webscrapers before this hackathon, yet we've learned a lot in such a short time.
Overcoming initial issues of differing directions and opinions to create a program that all members of the team can work on and take pride in.
What we learned
Using filepaths in python programs
Basic webscraping
Combining functionalities of different APIs
What's next for RoboticActivist
Improve performance
Integrate more instances of Artificial Intelligence in order to classify and promote more relevant information.
Increase interactions with other accounts through liking and commenting through either AI-personalized or generic channels.
Broaden content accessible to the bot and establish usability across Instagram.
Built With
instagram
instaloader
instapy
numpy
python
Try it out
www.instagram.com | RoboticActivist V.1.0 | An automatic, AI-assisted Instagram bot that promotes and disseminates information about the UN Sustainable Development Goals | ['KEVIN CHEN', 'Justin Lu', 'Jeffrey Zhang', 'Ricky Chen'] | [] | ['instagram', 'instaloader', 'instapy', 'numpy', 'python'] | 13 |
10,196 | https://devpost.com/software/food-bank-database | Basic Human Needs
Goal 2: Zero Hunger
Inspiration
Knowing that people suffer from hunger even in our local environment
What it does
A database that manages the food supplies for a food bank
How I built it
With java and object oriented programming
Challenges I ran into
Debugging
Accomplishments that I'm proud of
Getting this to compile and run :)
What I learned
Learned a new way to sort
What's next for Food Bank Database
Optimizing delivery truck routes
Built With
java
Try it out
github.com | Food Bank Database | Database for managing transfer and storage of supply in a food bank | ['Andy Liu', 'Jerry Wei', 'Winston Leung', 'An W'] | [] | ['java'] | 14 |
10,196 | https://devpost.com/software/blockchain-sustainable-development-goals-o2d36s | Inspiration
Recently, I have been reading about different types of cryptocurrencies and how they could be the future of transactions. I am fascinated by the idea that a concept of currencies exists with greater adaptability, transactions, and security, that is not owned by anyone or anything. I believe that through transactions in cryptocurrencies, we can avoid frauds and corruption much easily as compared to our banking system right now. With all of UN's Sustainability Development Goals, financial and economical sustainability is essential, therefore transferring funds should be made more sustainable. The best way to do so is through Blockchain Software.
What it does
What the software does is compile records of transactions into blocks that goes through the software to reach its designated destinations, avoiding any risk of false withdrawal or leak. As more transactions are made and more blocks are formed, a blockchain is created which installs its digital records onto any computer a block has passed through.
How I built it
I programmed the software so it starts with an initial block with a value of 0. This is the first block, also known as the genesis block. The genesis block is assigned. The value is assigned in the block class along with any hashes. The block class is called to the main where the values for the hashes output themselves, presenting a record of the transaction without any alternations.
Challenges I ran into
As I only started programming and I am still an amateur, I was not able to make a complex algorithm within the blockchain. This is an amateur level software where the transactions must be inputted in the code itself and not externally. There is a way to use a scanner to allow input externally but it collides with the algorithm itself.
Accomplishments that I'm proud of
I am proud that I was able to finish this. I understand that a blockchain is not easy to program, but I was still able to do it. I had issues calling the algorithm between the classes but I was able to work my way around it through the help of strings.
What I learned
I learned that to code, a clear and calm mindset is required. There were times when I was stuck and I was able to get around them by having a cool and open mind.
What's next for BlockChain- Sustainable Development Goals
I wish to add an input option for the blockchain that allows individuals to input their own transactions on demand. I believe that it is possible to do so with a bit more time and patience.
Built With
java
repl.it
Try it out
repl.it | BlockChain- Sustainable Development Goals | This Blockchain software demonstrates an efficient and safe method of transferring cryptocurrency between countries.With this software, governments can avoid useless fees and help each other develop. | ['Faizan Muhammad'] | [] | ['java', 'repl.it'] | 15 |
10,196 | https://devpost.com/software/addition-jump-k75ihm | Inspiration
I wanted to create something that many students around the world could use, whether it be on a low-end or high-end PC. I was inspired by many of the "cool math" games that I've encountered in my childhood which sought to combine elements of gaming and mathematics together.
What it does
This game is a platformer for young children which works through a reward system. Once the player collects 3 boxes, he/she must complete a math challenge under a specific time limit in order to continue gaining points.
How I built it
I build it in the unity game engine using C# and created the artwork using photoshop.
Challenges I ran into
Though I am proficient in java (which is very similar to C#) I am very new to Unity. This is my second creation on the engine and today I ran into a plethora of issues ranging from implementation, and unity mechanical skill. There was one instance where I was caught on a bug for almost 2 hours before realizing that the solution was right under my nose.
Accomplishments that I'm proud of
I am proud of overcoming the bugs that I ran into and using my intuition and research skills to promptly solve them.
What I learned
I learned that creating something great takes time and effort. In no means am I calling my creation incredible as there is so much more to do, but I had the realization that if I were to improve on the design and quality of this product, hours more of work would have to be put in.
What's next for Addition jump
I seek to add more math options like multiplication and division (with the use of different colored powerups). I also want to add a multiplayer option where kids could challenge each other around the world.
Built With
c#
photoshop
unity
Try it out
github.com | Addition jump | A fun game catered towards elementary students who are having a tough time with math concentration. | ['Oditha Amarasinghe'] | [] | ['c#', 'photoshop', 'unity'] | 16 |
10,196 | https://devpost.com/software/accessgranted | Inspiration
Our teammate Devonne talked about how the bus routes in the city of Boise, Idaho were kinda funky. After doing some research we saw that half the bus routes didn't even go to any of the popular locations. We then decided to go along with this issue and find a way to improve the bus route system.
What it does
Our website helps individuals within the community to suggest new bus stops or new routes so that the leaders in the public transportation can help improve the bus route to benefit all individuals who rely heavily on the bus to get around their community.
How I built it
We built our website on glitch using HTML, CSS and Javascript .
Challenges I ran into
One of the biggest challenges we faced was creating the map. Since we had never had to add one to a website before we struggled a bit to implement it the way we did.
Accomplishments that I'm proud of
We are proud to have created this product in 24 hours. It feels great to know that we can create sometimes as detailed and functional as this is in such a short amount of time.
What I learned
We learned how to create a spreadsheet and create a map on a website
What's next for AccessGranted
We will continue to work on the project, adding mapped out suggested bus routes by the community and individuals on the page. We also hope to be able to do this in multiple locations and continue to help improve many local communities.
Video LInk:
https://www.wevideo.com/view/1774799454
Built With
css3
html5
javascript
Try it out
glitch.com | AccessGranted | Have you ever had to walk blocks and blocks to get to your bus stop? or even to just get to your job? Well your not alone! Introducing AccessGranted!! The website to help fix your cities bus routes. | ['Anthony Franco', 'linh-chi tran'] | [] | ['css3', 'html5', 'javascript'] | 17 |
10,196 | https://devpost.com/software/kichen | Inspiration
Food waste in modern households is a significant problem. Just last year, the American Journal of Agricultural Economics, found that the average U.S. household wasted almost one-third of their food. And in Canada, over 10 billion dollars of food is lost at the consumer level.
When we looked at these statistics, we thought about how our own families throw away food. Every week, leftovers are dumpstered. Every month, food bought sitting in our fridges and pantries go bad because we’d bought too much. We also considered the many talented home cooks that exist, such as our parents.
This gave us the idea of creating Kichen, a virtual marketplace where home cooks can sell new meals or the excess of previous meals, and hungry buyers can purchase them for a low cost.
Categories
Kichen addresses the sustainable industrial development goals. The main goal we focused on is responsible consumption and production. Though, it also touches on decent work and economic growth as it transforms home-cooking, generally considered an unproductive economic activity into a productive one. This creates an avenue for people to earn money doing something which they already do and might enjoy with the possibility of alleviating the hunger of those in need.
What it does
Kichen aims to connect homecooks with busy consumers looking for an easy meal. In design, buyers can enter their location and are taken to see listings near their area. From there they can select meals, add them to their cart, and check out.
Furthermore, homecooks who wish to become sellers are able to post new listings, in which then, buyers can easily interact with.
How we built it
Kichen was built using a MERN stack.
MongoDB Atlas was used to host a public database
Nodejs & Expressjs were used for the backend of the website
-> HTTP requests entailed:
--> fetching user's public IP address
--> posting/fetching items
--> creating/fetching/updating carts
Reactjs was used to handle the front end
Challenges we ran into
Finding a neat way to handle javascript promises was quite the challenge. There was, and may be occasional latency loading the listings or viewing the information for a listing (by clicking on it) due to the time it takes for a promise to return.
Additionally, refreshing React components upon HTTP requests was also quite difficult (due to our inexperience with the language/technologies)
Accomplishments that we're proud of
Being able to successfully complete all the functionalities that are required of such a website, as well as taking the effort to make it as appealing as possible, something that we are both proud of. This was a huge learning experience, and both of us look forward to developing more full-stack projects in the future.
What we learned
Writing neat javascript code that actually works is extremely hard. We also learnt how to connect to an external database, and perform queries :) .
What's next for Kichen
We built a rough blueprint of what Kichen would be. In a deployable version, we will add the ability to create accounts, payments, as well as all the functionalities that come along with sorting the listings.
Built With
bootstrap
express.js
javascript
mongodb
mongoose
node.js
Try it out
github.com
kichen.herokuapp.com | Kichen | The marketplace for homemade meals | ['Jason Hou', 'Annie Sun'] | [] | ['bootstrap', 'express.js', 'javascript', 'mongodb', 'mongoose', 'node.js'] | 18 |
10,196 | https://devpost.com/software/storystack | Inspiration
Democracy is one of the core virtues if not values of the world, in which the will of the people is to be actualized. It is these institutions in which will be in the end in charge of implementing the changes to achieve the goals, and determine the means in which they execute this plan. The will of the people is directly correlate to the information upon which they can create judgement upon. Thus, it is of the highest paramount importance to promote news in which promote the problems, ongoing efforts, roadblocks and hurdles, and solutions to the sustainable development goals.
Problem- News has perverse incentives
o Stories presented by the news must be emotional (exciting or scary)
o News must be new and fresh and fast
o It’s survival is not based in the advancement and improvement of society
This problem exacerbates under reporting for sustainable development goals especially due to their nature, as long-term goals that promote the interests of emotionally distant and very normal people who live in difficult circumstances.
What it does
The solution I propose is regarding Sustainable Development Goal #17: Partnerships for the goals. I am building an application which:
• Is valued for its trust, and not by metrics that are look towards emotional metrics; thereby, being unmoving to perverse incentives
• Curates stories about the development goals and its solutions over its life cycle
• Collects expert perspectives and credible sources and share their innovative solutions to the sustainability goals
How I built it
Powerpoint and AdobeXD
Challenges I ran into
I don't
Accomplishments that I'm proud of
No
What I learned
The state of the news media
What's next for StoryStack
Getting stolen
Built With
adobexd
powerpoint | StoryStack | Stories in stacks because why the hell not | ['Edwin Z'] | [] | ['adobexd', 'powerpoint'] | 19 |
10,196 | https://devpost.com/software/job-app-and-fitness-water-timer | Inspiration
The inspiration was a common statistic, cell phone penetration is up to 84% in Africa and the continent is increasingly digitized. Given the high rates of poverty, we feel that this continent is ripe for the application of technology to societal issues. We wanted to connect job creators with job seekers in areas where person-to-person communication is unlikely but the individuals are within walking distance. Our project is in similar vein to Fiverr, yet is targeted towards unskilled individuals.
What it does
Job postings are currently handled manually through an admin backend. Job applicants can sign in with manually created accounts, which are created by the site admin. Once they sign in, they have access to a complete job bank, and can quickly apply by filling out a form. This sends the data to a backend, where the admins can pass info on to employers. The high emphasis on the admins is to prevent spamming and fraudulent job offers and applicants on our site.
How we built it
The app was built with a Django backend and React frontend.
What we learned
Frankly, we learned most of Django while writing this app. In general principle, we learned to not enter a hackathon with an unfamiliar language or technology.
Team:
Affan Khan
Ammar Faridi
Shrinjay Mukherjee
Zafir Raeid
For our SET.Hacks project we are focusing on the Basic Human Needs category, specifically the “Zero Hunger” and “No poverty” SDG’s. We are also focusing on the Industry category, with a focus on the “Decent Work and Economic Growth”.We would like to opt in to the following prizes: “Basic Human Needs”, “Industry”, and the mobile app prize.
Built With
django
react
Try it out
github.com | WorkMe | A simple app for connecting unskilled labour with opportunity | ['affan khan', 'Ammar Faridi', 'Zafir Raeid', 'Shrinjay Mukherjee'] | [] | ['django', 'react'] | 20 |
10,196 | https://devpost.com/software/coved | On the homepage, users can easily find relevant topics to them by entering a subject, their province, and their grade level
A display of topics that are required for certain courses, based on provincial curricula
Our database of learning resources for Chemistry
Want to add a missing resource? Let us know by submitting a link via our submissions page!
Inspiration
COVID-19 Has affected the way that all students are learning. Moving to an online platform has not only been difficult for teachers but students as well. We thought that there should be a centralized database, where everyone depending on their province and grade, can go in and look at the vital information that is needed for them to be successful in the course of choice.
As students that are affected by COVID-19, we find the online learning experience to be lacking in the convenience of finding additional information online. Oftentimes the material mentioned by the teacher is not enough to support our academics and we look for information online to dig deeper into the subject. Though upon searching the internet, we found it very difficult to find the appropriate resources for the curriculum that we are studying. This difficulty in finding additional resources as academic support is what sparked CovEd.
What it does
CovEd is a database built to assist students with finding essential resources for their curriculum in order to provide better academic support. With online resources that are readily available online, CovEd is able to simplify and reduce the time spent on the internet trying to find resources that are not guaranteed to help them in their particular curriculum.
On the main page of CovEd, the user is presented with a welcome message and 2 dropdown menus to select their province and their grade. When they click the go button, the course stream and course codes show up and users have a selection of buttons containing the topic names.
How we built it
Bootstrap, CSS3, HTML5, JavaScript
Challenges we ran into
The majority of us were beginners with a lack of experience and had a difficult time implementing more tools into the back-end. Also, the website faces challenges of scaling, as implementing more subjects to the site requires more ID tags and links.
Accomplishments that we're proud of
For most of the pages, they were prototyped in figma to follow a set color scheme. This allowed a cohesive setup in the pages, that made sure to use comforting and colorful color schemes to give a cheerful atmosphere during hard times.
Additionally, we all had something new to learn. For the majority of us, it was our first time working on a hackathon and we got the opportunity to improve ourselves and make something we think can help the world. Moreover, we were able to teach each other our valuable skills, making it a great and fun learning process.
What we learned
We made sure to take advantage and attend some workshops, as well as push ourselves to experiment and learn new things. Some new technologies we learnt are:
Bootstrap
Firebase
JavaScript
In addition to this, since for the majority of us this was our first hackathon, we learnt valuable soft skills such as communication, planning and cooperation. It was super cool to meet people around the world with similar interests!
What's next for CovEd
We will be continuing to develop CovEd and continuously adding features like progress bars and more useful information and resources that branch outside of academic studies. We look to create a review section to help graduating students find the right major and a social service where undergrads can interact with graduating high school students to help mentor and answer the high school student’s questions and concerns in a thread style conversation similar to Quora or Reddit but exclusively for students. We also want to provide a FAQ section as well as lists for majors and university rankings based on the students by conducting surveys for the users on our site.
Built With
bootstrap
css3
html5
javascript
Try it out
github.com | CovED | A Centralized Education resource hub for students under the COVID-19 quarantine | ['Jared He'] | [] | ['bootstrap', 'css3', 'html5', 'javascript'] | 21 |
10,196 | https://devpost.com/software/oregano-3rgitp | SDG
Quality education:
our goal is to provide everyone free courses to any subject from anywhere and anytime, whether it is during summer to catch up or learn ahead, at home if schools cannot be accessed, or during the pandemic. We want to empower people from all over the world to get access to a world class education. Oregano provides the best courses available and incorporated a schedule feature in order to help manage the student's time and keep them on the task.
Inspiration
Sitting at home for weeks with nothing to do can really put the amount of time we have into perspective; we have a lot of it! And there are millions of other kids in the exact same position as us. One thing that many students lack however is proper organization, responsibility, and motivation, and this is what ultimately pushed us to develop Oregano. Having thousands of free online courses at your fingertips as well as your own regulated personal schedule can be the difference between engaging learning and inefficient time-waste.
What it does
Oregano finds online courses for the user to pick from, allows the user to enter preferences based on timing, and then creates a full course schedule tailored to the user's input.
How we built it
After coming up with the idea, the first step in the building process was to consolidate what technologies we were going to use. We quickly found the Flask would be the easiest way to create a web application, due to its simplicity, and that of python as well. From there, we divided the application into parts and split it amongst ourselves. Making use Visual Studio Code and its LiveShare feature, we were able to seamlessly collaborate with one another.
In order to create a dynamic and responsive web application, we integrated bootstrap into our webpage. Forms were created using wtforms and the application was finally deployed on Heroku.
Challenges we ran into
The main challenge we ran into was scraping the web for articles. This process had two main functions: one that listed the courses and another that found the name and lesson titles of the courses. This process had many errors that we had trouble resolving, and undoubtedly took the most time out of all the components in our project.
Accomplishments that we're proud of
Through the course of the weekend, each one of us pushed ourselves to the limit and gave our 110%. We’re proud of the amount we learned, considering the fact that for most of us, it was out first time using Flask, Bootstrap, Jinja, and for some, even Python. We’re proud of our level of teamwork, our ability to help each other, and our willingness to support one another even at 3 in the morning. We’re proud of the fact that we stuck through to the very end, and even if we weren’t able to completely complete the project, we still came pretty darn close, and learned a lot along the way.
What we learned
For the majority of the team, it was our first time using Flask, Bootstrap, and Jinga. Throughout this hackathon, we learned how to use these and helped each other learn. Our team also learned that perseverance is important in short term projects such as hackathons, especially when code does not work.
What's next for Oregano
Due to time limitations, the product we created can currently browse and select courses from two online learning platforms, Coursera and Lynda. While this already gives users plenty of variety, there are countless online resources that have the potential to enrich learning. Therefore, the next step for our product would be to access these other online learning platforms to come up with the best out of a larger sample size.
Built With
beautiful-soup
bootstrap
css3
flask
heroku
html5
javascript
jinja
python
wtforms
Try it out
github.com | Oregano | Choose a subject. Set your time preferences. Learn! Oregano will find the best online courses for you to choose from and create a schedule that maximizes your productivity! | ['Jenna Xiao', 'JENNA XIAO', 'Jamie Tsai', 'Razi Syed', 'Malav Mehta'] | [] | ['beautiful-soup', 'bootstrap', 'css3', 'flask', 'heroku', 'html5', 'javascript', 'jinja', 'python', 'wtforms'] | 22 |
10,196 | https://devpost.com/software/project-rx61dg | Inspiration
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for project
to be continued | project | project | [] | [] | [] | 23 |
10,196 | https://devpost.com/software/bloomap | Inspiration
The rapid industrialization of our world has its benefits, but it leaves a world of people in developing countries struggling to obtain clean, drinkable water. With many third world countries beginning to use inorganic fertilizers more often, dangerous minerals from the fertilizer cause mineral rich waters to contain algal blooms, causing catastrophic damage to humans and the ecosystem. Toxic algae (Blue-green Algae) is a serious threat to many developing countries which lack proper medicine to treat symptoms of the algae such as: vomiting, diarrhea, headaches, and other gastroenteritis symptoms through biomagnification of algae and consumption of the water. Despite not being toxic, common algae blooms are especially dangerous for the environment as the algae blocks sunlight for aquatic plants, resulting in a lack of oxygen in the water. Countless species die due to the oxygen, causing a catastrophic change to the ecosystem. Even without the blooms, the minerals themselves can be devastating to humans at high concentrations. Excess amounts of nitrogen in the form of nitrates can cause blue baby disease (methemoglobinemia) a condition fatal to infants that can result in potential brain damage and death. Excess amounts of phosphorus in the form of phosphate has been noted to cause health problems such as kidney damage and osteoporosis. Because of all the negatives of fertilizer runoff, it is vital that developing countries do not damage their ecosystems and community in the future by preventing them in the present.
We are addressing goals 3, 6, 11, 12, and 14 of the United Nations Sustainable Development Goals (SDGs)
What it does
Our program takes input for our map from two sources: third-party input from farmers, and information from an API called Farm Market iD. To get input from farmers, they are required to register, sign-in, and enter their fertilizer information. Lines will be drawn on the map through Mapbox API which show local users the concentration of minerals in nearby water sources helping users avoid high mineral waters or waters with algal blooms. Our Farm Market iD is then used to locate the farm and its geographical characteristics, allowing us to show contaminated bodies of water near the user. If a farmer, or anyone with an account submits a potential area of contamination, it notifies the government for further inspection. We used the Twilio API to provide text notifications to whichever number desired, so governments and researchers can quickly respond to areas of contamination before eutrophication occurs.
How we built it
Using the Bootstrap framework for front-end and APIs including Mapbox. It is based on the Firebase platform, which has the advantage of hosting databases, and analytics.
Challenges we ran into
Location was overly general, we wanted to cover all major rivers initially, but it was difficult to find accurate documentation that would provide data for that entire scope. In addition, it was difficult finding API’s that could help improve our accuracy and help locate spots of contamination. Moving on, we struggled finding a viable back end system to run our code on. We initially tried Python using Django, but it just wouldn’t not cooperate with us. Rather than learning a new system, we stuck to something we could all work with. Lastly, accurately plotting points on the map was the most difficult thing to deal with. For some reason, not all maps point to the exact same location on the map. So to every coordinate, we had to add and subtract each coordinate by a constant to accurately plot it on the map.
Accomplishments that we're proud of
This was the first hackathon for three of our team members, so there was a learning curve in realizing the amount of work required to develop a web-app in 24 hours. Of course, there is much work required to perfect the app, but we are proud of how far we have come in such a short time duration.
What we learned
-We found that it was more effective to test out our idea on a smaller scope
-None of us had prior experience with backend, so a lot of the process was learned along the way
-We learned just how important the ideas found in the article
https://medium.com/@hackathonmentor/finishing-an-app-a68b26d1a492
were. We started off dreaming big and focusing on features that would be hard to implement, rather than planning out a base product that would work right off the bat.
What's next for Bloomap
Our next step for Bloomap is to gather more data for more locations. For display purposes, our prototype works for a small area inside Nicaragua. Next, we need better authentication for farmers so the data cannot be tampered around with. In addition, we were originally going to add a search bar that allows users to search specific locations more quickly, but we did not have enough data to integrate it for now. If we were to take this to the next level, we would love to collaborate with governments to create incentives for farmers who accurately report their data.
Built With
bootstrap
css
firebase
html5
javascript
mapbox
Try it out
serene-einstein-6c891c.netlify.app | Bloomap | Notifying users of fertilizer runoff in nearby water in order to protect them from the dangers of algal bloom and excess fertilizer minerals while giving governments an effective tool to clean blooms. | ['Frank Jin', 'Dhruv Vora', 'Andrew Zhao', 'Cheryl Li', 'Cheryl Li'] | [] | ['bootstrap', 'css', 'firebase', 'html5', 'javascript', 'mapbox'] | 24 |
10,196 | https://devpost.com/software/saharan-solutions-sdg-and-category-only-4ehsrk | Inspiration
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Saharan Solutions: SDG and Category Only
SDG: Goal 7
Category 1: Basic Human Needs
Built With
html5
java | Saharan Solutions: SDG and Category Only | SDG and Category Only | ['Vasundhara Bagchi'] | [] | ['html5', 'java'] | 25 |
10,196 | https://devpost.com/software/mission-explore-science | Home page
https://drive.google.com/file/d/1uSsjdU4ue1MIew3-aiX6GSA1PF2h3_r_/view
Inspiration
We were inspired to create Mission Explore Science because of our personal interests in environmental and astronomical citizen science. Funnily enough, citizen science was something that we discovered one day at the beginning of this summer while searching for things to do on the internet. We were surprised not only at how easy it was to learn about and do, but also how it is rarely introduced to elementary and middle school students despite its appeal to all audiences. Our team recognizes that young children do not have as much opportunity when it comes to engaging with the scientific community, so we were inspired to create Mission Explore Science to give children more exposure to the environmental sciences and their impacts. We firmly believe that education is the first step to change, and we hope that young students will become empowered to advocate for climate change and environmental sustainability while using our website.
What it does
Our website serves as a platform for young students to engage with environmental citizen science projects. We pull these projects from our database and display them on our site in a kid friendly manner. Through the use of modals and other accessible features, we provide materials in a comprehensible manner for young students. Not only did we compile a variety of citizen science projects, but Mission Explore Science allows students to expand their knowledge by pursuing environmental topics at a deeper level.
How we built it
We built our product collaboratively through GitHub and Repl.it using HTML, CSS, JS, and Python. We started out with simple HTML script and CSS for stylizations, then we moved on to adding more features to our website using JavaScript and JSON databases.
Challenges we ran into
Challenges we ran into included changing the format of all modal links on the project and newsletter pages. After writing a format into the code, we found another format that we liked a lot better, which we implemented to create a more modern and kid-friendly design. Another challenge we ran into was getting event listeners to work with our modals and buttons across the site. We were able to overcome this challenge by using inspect tools and scouring Stack Overflow!
Accomplishments that we're proud of
Accomplishments that we were proud of in particular was managing to get the Javascript section working in tandem with the html and css script, which can be seen for the modals on our “Projects” page and the expandables on the “FAQ” page. It took a while to make sure all three aspects of the code were working together, especially while coding the FAQ page it was hard to fetch the information with the sensitive formatting. However, it was all worth it in the end when it improved the overall quality of our website and ease of navigation.
What we learned
Coming into this process, two of our team members had no previous experience with languages required for website building, like HTML and CSS. With the help of our third member, we all increased our proficiency in these languages, in addition to JSON, JavaScript, and PHP. We learned that trial and error is a useful strategy in computer programming.
What's next for Mission: Explore Science
We plan to add more project content relating to the environment to the relatively bare framework that we have set up. For this, we will compile information on projects from citizen science, re-write and reformat it so it’s more friendly for younger students. We are excited to take Mission Explore Science to the next level to raise environmental awareness for young students in elementary and junior high school!
Built With
css
html
javascript
php
python
Try it out
github.com | Mission: Explore Science | Connecting young students to environmental citizen science project initiatives, allowing them to contribute to the scientific community from a young age while gaining valuable experience. | ['Alice Li', 'Rachel Shi', 'Alayna Nguyen'] | [] | ['css', 'html', 'javascript', 'php', 'python'] | 26 |
10,196 | https://devpost.com/software/development-goal-informer | Project Forward Home
No Poverty 1
No Poverty 2
No Poverty 3
End Hunger 1
End Hunger 2
End Hunger 3
End Hunger 4
Business Solutions 1
Business Solutions 2
Business Solutions 3
Business Solutions 4
Inspiration
We all share the world we live in and therefore it is each and every person's responsibility to care for it. The main rationale for building this project is to act as a steward to inform both ourselves and others of the issues that are occurring around us and how we can solve them.
What it does
Without information nothing is possible; therefore, we decided that in order for people to take effective action we need to inform them first and that is exactly what our product achieves. We selected the three most paramount SDG's—ending world hunger, ending poverty, and encouraging responsible consumption and production on the business level—and researched information on them. Then we selected the most vital information from our research to give the product user a brief but info-packed insight into the issue. We developed Project Forward to educate people and attempt to alleviate problems that prevent our society from reaching a sustainable future by 2030.
How we built it
We used the popular python framework Django to build both the front and backend. HTML and CSS Bootstrap classes were used to style the pages and make them look crisp. The web spiders were also made in python using the requests and beautifulsoup libraries.
Challenges we ran into
Finding information that was relevant enough so that product users would gain adequate insight. Additionally, building web-scrapers was time-consuming as there is little to no data and therefore no satisfactory API's available.
What we learned
How to implement a web scraper, using Django to design an aesthetically pleasing site and team collaboration on group projects. Communication is key!!!
What's next for Project Forward
Expanding the site to include some of the other SDG's and how people can take action to achieve sustainability by 2030. To find quality information takes excellent research skills and that is definitely what we plan on doing to improve our product.
Built With
beauitfulsoup
css
django
html
python
requests
Try it out
github.com | Project Forward | Ignorance is the exact opposite of bliss; that's why we built a website to inform/spread awareness and shed light on the world's most pressing issues. We hope our product catalyses achievement of SDGs | ['Blair Zhang', 'Shahta Rahman', 'Ellen Wang', 'Gurvick Ghai'] | [] | ['beauitfulsoup', 'css', 'django', 'html', 'python', 'requests'] | 27 |
10,196 | https://devpost.com/software/veggiecare | Home page
Inspiration: During the pandemic, we found gardening to be relaxing but also an eco-friendly activity to keep us busy. We believe others could also see and enjoy the same benefits we have, which is the goal of our product.
What it does: Provides advice for gardeners such as what to garden, when to garden, knowing what they're gardening, etc. Essentially we are virtualizing the world of gardening and giving it the appeal of the modern world.
How we built it: A combination of HTML, CSS, Javascript and PHP.
Challenges we ran into: Trying to figure out how to use PHP.
Accomplishments that we're proud of: Learned how to use MySQL.
What we learned: We learned that the power of friendship cannot be tarnished in the face of adversity... and also we don't know how to use PHP.
What's next for VeggieCare: Increase database and applicability, and apply PHP.
Built With
css
firebase
html
javascript
mysql
php
sqlite
Try it out
jimmyygit.github.io | VeggieCare | Website that encourages individuals, especially during the COVID-19 pandemic, to get into gardening and to improve their gardening skills. | ['Vaaranan Yogalingam', 'Jimmy Yang'] | [] | ['css', 'firebase', 'html', 'javascript', 'mysql', 'php', 'sqlite'] | 28 |
10,196 | https://devpost.com/software/the-wonders-of-economic-infrastructure | Homepage of our game!
Rules of the game, clear and concise!
At the end of each level, there's a summary of what you finished thus far
level 4, FDIs
Goal for each term, in this case, year 5
End, with a mini-lesson
Inspiration
One of the most
criticized
aspects of Western education is the lack of required curriculum concerning money and the economy. It is also no coincidence that the UN dedicates 4 of its 17 SDGs to topics surrounding
development in the industry
. Beyond this, the main issue preventing the other SDGs from being achieved is money. The point of sustainable development is to find a balance that turns short term sacrifices into long term success, but - far too often - we see that resources are not always being used to their full potential. As citizens, students, potential workers and future taxpayers, we understand the vitality of
ensuring that our generation is well-informed
in regard to topics surrounding national economic and industrial affairs, and we hope to inspire a generation of leaders that knows how to responsibly manage money in order to promote sustainable development across the globe.
What it does
The game puts the player in the shoes of the federal government, where they are tasked with managing the economic affairs of the country. As the newly-elected president of
Orth
, the player moves through 5 different levels, exploring various fields of both micro and macroeconomics within each one.
How we built it
Upon considering several different options for game building, we finalized building the game using Python. We did so using the pip library that was installed and them importing some modules needed for the game. The game was built in a structural format using functions wherein for each level the game went through the same set of functions. As for the calculating results part, this was more level-based as different levels had different acceptable answers. The game was built using functions, lists, objects, modules, and graphics.
Challenges we ran into
Throughout the process, we were unsure of the structure of our levels and it was a challenge to put in different economic ideas together and divide them into levels. Taking hours to plan out the structure of the game including what should be in each level and their respective indicators, we used critical thinking skills to come up with a solution. Additionally, the levels itself are complex to code because they are not the same for each level, for instance, some levels require written answers while some require checking boxes off and following steps after that. Since the game is fairly complicated, there have been a lot of glitches while playing the game but in the end, it worked out perfectly fine through rigorous coding.
Accomplishments that we're proud of
Throughout the game, several of the UN’s Sustainable Development Goals were addressed, with great emphasis being placed on sustainability and the ability to think and act in order to achieve long-term success, whether it be through investing in sustainable energy, funding firms that maximize employment, increasing efficiency through monopolization, and much more. We are proud of being able to create a game that educates and inspires in a fun yet simple way.
What we learned
We learned how to make a game, using Pygame and making it look visually appealing. Since we faced several glitches, we also learned to debug our program in the most effective way and now, we are confident in creating games without too many glitches. We also learned a lot of new economic concepts in microeconomics and macroeconomics.
What's next for The wonders of Economic Infrastructure
We are hoping to increase the complexity of levels by adding in more options and more factors that would determine progress, such as stock market prices and income elasticity. We would like to make our game as detailed as possible so that users of any age can play and learn about economics. We also would like to make a website for it so individuals gain more knowledge about this game and therefore more people try it out.
Built With
c#
intellij-idea
java
pygame
python
turtle
unity
visual-studio
Try it out
github.com | The wonders of Economic Infrastructure | One of the most criticized aspects of education is the lack of content concerning the economy and as citizens & future taxpayers, it is crucial to be well informed about economic & industrial affairs | ['smriti sharma', 'Drew Kennedy', 'Neysa Patel', 'Preesha Ruparelia'] | [] | ['c#', 'intellij-idea', 'java', 'pygame', 'python', 'turtle', 'unity', 'visual-studio'] | 29 |
10,196 | https://devpost.com/software/snacktrack-auo6f0 | Inspiration
At the end of the day, restaurants might have leftover food that was not sold during the day. This food is perfectly fine other than its ugly look, yet restaurants cannot sell it during the day. Bakeries are a prime example of this. On the other hand, many low income families find that they must regularly skip meals to be able to afford other necessities for living. The connection between the two is obvious, yet this problem continues.
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for SnackTrack
Built With
react | SnackTrack | A platform that connects viable food waste with people in need. | ['Caroline Ma', 'Julia Chen', 'Donovan Yohan', 'Catherine Huang'] | [] | ['react'] | 30 |
10,196 | https://devpost.com/software/waste-sorting-game-0vo4g2 | The three team members in the group all feel very strongly about the environment so we wanted to create something that addresses SDG 13. For this reason we created a waste sorting game that will help educate those not familiar with waste sorting and the environmental impact garbage has. Throughout this process we not only learned more about programming (ie. how to import pictures, creating a GUI) but also learned about waste sorting and environmental impact (ie. you can make your own compost at home!). Some challenges we faced were regarding the programming. Emily, the team member who coded, had trouble with the GUI and using pictures. However, it was a difficult yet interesting challenge.
Built With
java
Try it out
github.com | Waste Sorting Game | SDG 13 (Climate Action) & 15 (Life on Land) - This is a simple waste sorting game that can be used to raise awareness of how to properly sort and dispose of all types of waste. | ['EMILY MO', 'BASHIR KADRI', 'ROSA LI'] | [] | ['java'] | 31 |
10,196 | https://devpost.com/software/jobify-9s4h2k | Inspiration
Our inspiration came from the UN goal concerning job, as we all know, the coronavirus pandemic has affected all of us. We were inspired by our neighbour's inability to find jobs online from online sites like indeed. So our team decided to create our revolutionary program, Jobify!
What it does
Our program allows for a seamless bridge between employees and employers. At Jobify, we get people jobs.
How we built it
Running on the cutting edge technology of Java, we have paved a path to the future.
Challenges we ran into
We had trouble deciding on the approach we were going to take.
We ran into a few arguments between team members on which portion of the project each person should be assigned.
There were several errors in our code and required us to debug and fix methods.
Accomplishments that we're proud of
Our team is proud that we were able to use the coding skills we learned in our high school studies for the creation of this program. We were able to implement several coding concepts in our program, like sorting, searching, input and output, file reading, file writing, and recursion.
What we learned
Through this project, we have learned about the importance of teamwork in coding programs. We have also learned the importance of planning out a program's skeleton instead of jumping straight into the coding. Throughout this hackathon, we learned new ways to implement the coding knowledge we acquired in high school and gained a significant amount of unique experience.
What's next for Jobify
For the next stage of Jobify, we plan to create a proper user interface with graphics and maybe a website. We believe that with a better user interface, our program will be more user friendly and attract the attention of more employees and employers.
sorry about the audio, we did not realize until last minute. We hope you can understand.
Built With
java
Try it out
github.com | Jobify | Our program aims to solve the declining job levels after the COVID-19 pandemic by creating a connection between employees and employers. | ['gary zhong', 'Justin Shi', 'Luke Shi'] | [] | ['java'] | 32 |
10,196 | https://devpost.com/software/docsite | DocSite Logo
Inspiration:
Many people do not have basic education on healthcare, so I was inspired to create a way to deliver that. I was also inspired by existing health sites like
NHSinform
What it does:
DocSite enables users to easily learn about how to deal with common illnesses and symptoms, recovery positions, what to do in an emergency, and more.
How I built it
I used Github and worked with HTML, CSS and JS to develop the site.
Challenges I ran into
Due to time constraints, I was not able to add all of my desired features.
Accomplishments that I'm proud of
I'm proud of how the final product turned out. It is a bit bare-boned, but not bad for the 8 hours I had.
What I learned
I refreshed my knowledge of HTML, CSS and JS. I also learned how to better allocate time for my next coding hackathon.
What's next for DocSite:
My vision for DocSite is to port it to an app that is not reliant on an internet connection so that people in developing areas can have access to it.
Built With
css
github
html
javascript
Try it out
noah-do-rego.github.io | DocSite | DocSite is a website with remedies to common illnesses/symptoms, informative videos, and more. | ['Noah do Rego'] | [] | ['css', 'github', 'html', 'javascript'] | 33 |
10,196 | https://devpost.com/software/cropcycle | Homepage
How it Works (Homepage)
Create a Posting
View Postings
For this project, we will be addressing the
Basic Human Needs
Category and focussing on the
Zero Hunger
SDG.
Inspiration
According to the United Nations Food Programme, food supply chains of developing countries are majorly threatened by an inefficient distribution of resources. Concerned by the amount of food that is wasted in developing countries due to this unequal distribution, we decided to develop an accessible platform that would connect village markets based on their crop demands. Markets would be able to sell their excess crops to other villages while those facing a shortage can easily gain contact information to purchase these otherwise wasted items.
How does Cropcycle work?
Cropcycle allows markets to sell their surplus of common agricultural products through postings, where they can list their price per kilogram and describe the details regarding their crops. Coincidently, buyers can create postings to request products in that they experience a shortage. After creating a post, all users can browse through nearby offers on the “Find a Buyer” and “Find a Seller” pages and acquire contact information to reach out to product listers. Through this platform, Cropcycle aims to balance the quantity of available crops across the nation and ensure that food does not go to waste.
Development Process
We brainstormed design drafts of our website and proceeded to prototype it using HTML. As usual, the stylings were done using CSS and Bootstrap and the interactions were implemented using JS and JQuery. The initial data and the data inputted by the user were all stored in the browser’s localstorage.
Challenges
We struggled to prioritize which features we could implement within the 24 hour timeframe. Although we would’ve liked to include more features such as allowing users to edit their postings and upload their own photos, we had to focus on other details first as we were still learning during the hackathon. Initially, our team was at a disadvantage because only two members were experienced with coding, but as the project progressed, the other team members were able to leverage their skills in creative design to improve the features of the project.
Accomplishments
From this experience, we’re proud of the new skills (coding AND soft skills) that we learned. More importantly, we’re proud that we were able to play to our strengths as a multidisciplinary team and collaborate effectively together!
(we even got to see the sunrise together teehee)
Lessons Learned
From developing Cropcycle, we learned how to use JQuery and Bootstrap to increase efficiency as well as style our platform. We also learned about the Sustainable Development Goals and became more conscious of the necessary efforts for a brighter future.
Next Steps
Along with allowing users to edit their postings, the next steps for Cropcycle would be to expand to more developing countries and include more of their popular agricultural products. Additionally, we think it would be effective to have the ability to sort buyer and seller pages based on proximity, which would encourage more local market interactions. If access to a greater toolset, we would also like to integrate maps onto our website so that users can explore offers closest to them in a visually appealing manner. Finally, a future goal would be to scrape the web for reasonable market prices of the products to ensure ethical pricing measures between buyers and sellers.
Built With
bootstrap
canva
css
html
javascript
jquery
love
Try it out
github.com | Cropcycle | An online platform for markets in developing countries to sell surplus crops or buy excess agricultural products | ['Alvin Dai', 'Cameron Ritchie', 'Jocelyn Xu', 'Prasith Wijeweera'] | [] | ['bootstrap', 'canva', 'css', 'html', 'javascript', 'jquery', 'love'] | 34 |
10,196 | https://devpost.com/software/climate-bots-2tycxk | Climate Bots Cover
Climate Bots Official Logo
SDG's
The Sustainable Development Goals (SDGs) our project focuses on are:
Climate Action
Sustainable Cities and Communities
Affordable and Clean Energy
Our website is unique as it allows youth to communicate and create a community which revolves around environmental issues. Not only are we raising awareness but our mission is to engage all demographics through our interactive features such as chat rooms with mentors, challenges and informative resources to become passionate about the SDG goals which are Climate Action, Affordable and clean energy, and Sustainable cities and communities. This would help the nations accomplish these SDG’s as once everyone is educated, involved and motivated by others, they will be encouraged to do their part. This will also benefit businesses as they can improve their CSR easily and become involved with motivated youth.
Inspiration
When we were growing up, we lacked resources which taught us about climate change. We did not know who to connect with or ask questions about saving our environment. It never seemed like a topic of concern and hence we developed bad habits; not recycling properly, leaving water running, etc. We have learned from our mistakes and we want to ensure all of our future generations learn these environmentally friendly practices from the start! Hence, we can help save our planet by taking this leap of faith!
What it does
Climate Bots is a website that enables users to create an account and develop more environmentally friendly practices. Users are able to post blogs about their experiences and any recent, relevant news. To make the website more interactive, we included a trivia game where younger children are able to learn more about the environment. The website is extremely unique in the sense that users can actually learn about climate change through the resources provided, post their own thoughts on tackling climate change and participate in chats with mentors who will support them in their own projects and endeavors in taking on the challenge to combat climate change! Overall, the impact of this website is that it will improve the environmental practices in each household and it will encourage education.
How I built it
Climate Bots is created using the Python-based Django web framework. The backend is created using Django, Python, and PHP. The front end consists of HTML, CSS, JavaScript and Bootstrap. Our website has many amazing features including a Blog where users can create new posts, update old ones, and delete existing posts. You can view all posts written by a user as well. There is also a user profile where the user can change their username, email address, and/or profile picture. When a new user creates their account through the registration page, all the information is stored in an SQL database so the user is able to use their log in credentials to log in to the website. We also have a password reset option where the user is able to enter the email address associated with their account to receive a password reset link. All username and email addresses are checked to ensure that a user does not enter information that is already existing in the databases. All passwords must meet a certain set of requirements to ensure that they are strong. The Contact Us page is an interactive page that the user is able to enter their information and an email address which lets them email our organization Climate Bots. Another interactive feature we have which is very iconic to our website is the trivia game. This is created using JavaScript and is linked to our main website through a static HTML file. The amount of questions users get correct is displayed at the end of the trivia quiz. If users score above 3, a badge is automatically added to their profile and remains there! Some other features we have include a chat system where users can message other users and a calendar where live streams and events are displayed and updated in real time.
Challenges I ran into
Completing the forms and having them link to php files was very hard as we are not that familiar with them. But, through some research and independent learning, we were able to make it work. The format on CSS for the more detailed pages such as the ABOUTUS page was, at times, a little difficult, but we were able to spend a lot of time and were able to fix any of the formatting issues. Also, we all worked separately on different aspects of the website, so it was challenging to make sure that the format and text looked similar and cohesive on all the pages. Linking the forms to the website was hard, but through our team work, we were able to figure it out. One of the trickiest parts we encountered was linking the trivia quiz made using Javascript to our Python-based website. We needed to connect the variable containing the quiz points with the variable tracking the amount of points received from being an active participant by posting climate related blog posts together. By troubleshooting, using our excellent research skills, and logical thinking we were able to overcome this problem and display the corresponding badges on the users’ profiles.
Accomplishments that I'm proud of
We were able to successfully complete a website in less than 24 hours in which users are actually able to sign up and login. This is the second time that many of us are using HTML or CSS in projects which makes it something that we are very proud of. Furthermore, we were able to add an interactive game, which made our website much more interesting to users. However, beyond the technical development, we are proud that we were able to think of a unique idea and work together as a team to create an incredible and useful platform. Climate Bots has the potential to change millions of lives and our climate because of its goals. By educating our youth, we can as a community work towards preventing taking actions that lead to climate change!
What I learned
This was one of our first hackathons so we were able to learn a lot. In terms of applying our knowledge, we were able to create a website that interacts with users. We learned many skills from the workshops such as deploying a website and enhanced our technical skills especially in HTML, CSS, JS, Bootstrap, and PHP. We also learned how to accommodate our webpage based on user interface instead of our time and effort. We considered this as a product and were able to consider three important components; desirability, feasibility and viability while creating it. Hence, we developed strong technical and product management skills.
What's next for Climate Bots
Climate Bots has a powerful mission and we hope to continue to use this platform and connect with youth from across the world. In our initial stages currently, we will network on various social media platforms and find parents, children and schools interested in partnering with us to help teach the youth. We will also plan out new content to keep updating the website weekly so the youth can always continue learning something new about helping our environment and receive more badges as an incentive for their extraordinary hard work! In the future, we hope to conduct workshops and educate individuals in rural and remote areas on climate change as well. We also plan to launch an ambassador program to have students and adults market the platform to create a sustainable and healthy future!
Built With
bootstrap
css
django
html5
javascript
php
python
sql
Try it out
github.com | Climate Bots! | Save our Home | ['Guneet Bola', 'Richa Dalal'] | [] | ['bootstrap', 'css', 'django', 'html5', 'javascript', 'php', 'python', 'sql'] | 35 |
10,196 | https://devpost.com/software/envirotrack | Inspiration
Fashion is one of the most polluting industries on the Earth, contributing to the overuse of natural resources, pollution, water wastage, and global warming. Yet, despite these pressing issues, the global per capita demand for clothing is only growing, and expected to double within the next 10 years.
Unfortunately, it is also often difficult for consumers to trace the environmental impact of their own clothing. Most individuals have no idea what resources are expended in order to produce these products.
What it does
We decided to create an app, named EnviroTrack, to tackle this problem. Users can enter the basic information found on their clothing label and discover the amount of energy, water, and carbon dioxide emissions that were expended for their product. EnviroTrack takes into consideration the material, weight, size, and origin of an article of clothing, to calculate the approximate production and transportation costs. Our calculations use statistical data from academic articles, and refers to the shipment route from the country that is responsible for the vast majority of clothing production, to Canada. Upon submitting information into the app, users are given a relatable comparison to truly gauge the impact of their potential purchase.
How I built it
We built this app using java in Android Studio.
Challenges I ran into
We ran into some challenges syncing our progress to our individual computers since, oftentimes, compatibility was off.
Built With
android-studio
java
Try it out
github.com | EnviroTrack | An app encouraging sustainable consumption by informing consumers of the environmental costs of their clothing purchases. | ['Rose He', 'Peter Zhu'] | [] | ['android-studio', 'java'] | 36 |
10,196 | https://devpost.com/software/clothesshare | The home page for ClothesShare
More information located when scrolling down on the home page
The about us page for ClothesShare
More information located when scrolling down on the about us page
Article page where users can find and upload articles
Inspiration
While reviewing the SDGs, the ones that really resonated with us were the No Poverty and the Good Health and Well Being goals. We wanted to be able to make an impact on our local communities before branching out to more global impacts. A great way we thought we could do this was by creating a website to improve a current solution to a problem in our communities. Through some brainstorming we came up with a product that would help people and families in need to better find clothing suitable for them through a donation website. Contrary to traditional clothing donation organizations, our website provides recipients with free clothes that they can select, ensuring that the clothing items will suit their needs. ClothesShare’s localized nature also ensures that bundles of donated clothes aren’t simply shipped overseas to poorer countries, where they often end up putting local clothing manufacturers and textile industries out of business.
What it does
ClothesShare connects clothes donors with people who need clothes. Through our website, people that are in need can easily find clothes that suit their needs by looking through a variety of posts. Once they find one that they like, they can click the contact button to get in touch with the donors. Donors are also easily able to donate their clothes. By taking a picture and uploading a description, they can offer their gently used or even new clothing to those that need it most.
How we built it
We used HTML, CSS and some Javascript for the front end development and PHP for the back end. For the website design, we used HTML and CSS to stylize the website and make it easy to interact with. By using Bootstrap, we were able to make the HTML and CSS work on various laptop sizes. To store and upload the clothing articles, we needed a database. To do this we used MySQL and PHP. To do most of the front end coding, we used repl.it multiplayer so we were able to work on it collaboratively and in real-time. Through communication and teamwork, we were able to pull off a pretty cool project in the end.
Challenges we ran into
As programmers that weren’t completely familiar with PHP and MySQL, a lot of the struggles we went through were related to creating a functioning database based on user input and then using the information that was stored in the database on other pages. Only one of our team members had a little experience with it and already had MySQL downloaded on her computer. Although it was hard for us to incorporate something that we didn’t have much experience with, by learning through videos and supporting her, we were able to get it mostly working.
Accomplishments that we're proud of
We’re really proud of the website design. By incorporating elements such as parallax and easy-to-use buttons, we feel that the design greatly improves the user experience by creating a welcoming atmosphere and allowing for convenient use. We’re also really proud of all we did for the database as that was one of the challenges for us. By overcoming our challenges, we were able to not only learn something new but be proud of how it all came together.
What we learned
Not only did we learn more about databases, we learned the importance of communication and teamwork. For a project to be successful in such a short period of time, it was important to divide up the work and ensure that different parts of the website got done accordingly. By communicating with each other about which parts were complete and which parts still needed work, as well as helping each other out, we were able to support each other to complete our project on schedule.
What's next for ClothesShare
Currently, ClothesShare enables receivers to look for the clothes that they want by scrolling through the articles page. In the future, we plan to modify this experience with an algorithm that filters through all the submissions and presents the receiver with the clothes that would best suit them based on the information they provide. By making it easier for the recipients to match with donors, the website’s functionality will become a lot more seamless and much easier to use. Through this, we hope to expand ClothesShare not only to the rest of Canada but also to the rest of the world.
Built With
css
html
javascript
mysql
php
Try it out
github.com | ClothesShare | Website which connects clothing donors to recipients in need | ['Natasa Bolic', 'Mayeen Ayoub', 'Tina Liang', 'Christina Zhang'] | [] | ['css', 'html', 'javascript', 'mysql', 'php'] | 37 |
10,196 | https://devpost.com/software/learnnow | Inspiration
We were inspired to create this product in an effort to educate the public on mainstream news. As we are all teenagers raised under the influence of the internet, we understand the impact that the web can have on individuals. In an ever-growing digital society, convenience becomes the biggest factor in grabbing a user’s attention.
five
does exactly that. The articles consistently pop-up with every tab-opening. For those that need that extra push,
five
becomes the tool that jumpstarts one’s willingness to learn.
What it does
A single sentence can set off a lifetime of change. Every change starts with an idea, and every idea begins with a spark. All it takes is 5 minutes a day: after all, a spark that lights in a second can burn for a lifetime.
five
was created after our team expressed how inconvenient archetypal news websites and apps are. We wanted to eliminate users’ need to manually scout search engines for an article which interests them. The Chrome extension connects individuals to trending news articles which interest them. Users receive 5-minute reads from the New York Times which vary on a day to day basis. Each article pertains to an SDG in the “Industry” category, and encompasses a variety of topics, such as sustainability, infrastructure, and ethical consumption.
How I built it
Our team used HTML, CSS, Javascript, Bootstrap, and jQuery to create
five
. We used Github Desktop to develop the code synchronously. All articles were incorporated into our platform through the New York Times’ API.
Challenges I ran into
Initially, our team faced some difficulties in regards to finding an accessible API. However, after searching various news sources, we stumbled upon the New York Times’ developers’ site. The platform offered thousands of reliable articles for the SDGs we were interested in. In addition, everyone was faced with something new within this project, whether a new language or a new tool. A lot of time was spent learning and trouble-shooting for different solutions.
Accomplishments that I'm proud of
We are proud of developing a fully-functionally Chrome extension which facilitates how we receive our daily news. Our team successfully created a platform which is both convenient and aesthetically pleasing. The extension’s visual elements were all created with user experience in mind. In addition,
five
only features articles which have passed the New York Times’ extensive editing process. This ensures that all information is accurate and reliable.
What I learned
Throughout this process, our team learnt the importance of challenging ourselves to reach our full potential. Although some team members began the hackathon with limited experience in Javascript, HTML, and CSS, we all put our minds together to ensure that no one was left behind. This process stressed the importance of teamwork and reaching out to receive help when necessary.
What's next for
five
Although SetHacks has drawn to an end,
five
has only just begun its journey! Our team hopes to focus on more specific article searches that allow for finding articles with multiple keywords. As well, we hope to create engagement through a feedback banner which would allow users to recommend articles which they find interesting. However, the minimalism and simplicity of the extension will remain intact: our key UI focuses to ensure long-term user engagement.
Built With
bootstrap
css
html
javascript
jquery
newyorktimesapi
unsplashapi
Try it out
github.com | Five | 5 Topics. 5 Articles. 5 Minutes. A chrome extension that pushes education as the first step for change. | ['Amy Li', 'Denise Albeanu', 'Armeen Talwandi', 'Angela Du'] | [] | ['bootstrap', 'css', 'html', 'javascript', 'jquery', 'newyorktimesapi', 'unsplashapi'] | 38 |
10,196 | https://devpost.com/software/lifetimer-n4sftp | Lifetimer
Life expectancy is stalling in developed nations. As per the SDGs, this is not good. That's why we built lifetimer - so that people can be conscious about their life expectancy and make appropriate changes to their lifestyle.
This project will target Goal #3 of the SDGs by promoting health for all ages.
This application addresses the most prominent risk factors in developed societies, including alcohol consumption, smoking, and obesity. It also develops the SDGs goal #3 by promoting immunization.
Built with python.
Ok we know this sucks but we originally planned to have a mobile app and use machine learning for life expectancy predictions. Only problem is we don't have experience making mobile apps and most of the raw datasets needed for ML are only accessible upon request (which usually takes a few weeks for approval).
The video is only 30 seconds sorry.
Built With
python
Try it out
drive.google.com | Lifetimer | An application where users can enter their information and obtain accurate life expectancy data, along with lifestyle recommendations. | ['Danny Yu'] | [] | ['python'] | 39 |
10,196 | 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'] | 40 |
10,196 | https://devpost.com/software/wada-women-against-domestic-violence | Home Screen
Help Page Where User Can Find Resources Against Domestic Abuse
A Domestic Violence Screening Quiz
Stories of People Who Have Escaped Domestic Abuse
Videos to Provide Therapy For The User
We're addressing:
Goal 10: Reduced Inequalities
Goal 16: Peace, Justice, and Strong
Institutions
for our submission in the category community
Inspiration
We were inspired to make this product from reading stories of women who experienced physical and emotional abuse from their intimate partners. We recognize that domestic violence is an issue that is often not talked about. When we started to brainstorm for this project, one of the first ideas to appear was offering help to women who are abused. We decided to follow this idea because we hope that this project can touch the lives of women who are in need of support.
What it does
Our product provides women who are experiencing domestic violence with the information and the resources to help them better their situation. More specifically, we aid women to analyze their situation, provide them with a network of women who have similar experiences, and give them contact information to helplines and services.
How we built it
We coded a website using JavaScript, CSS, and HTML collaborating over replit. Moreover, we added features such as a quiz that analyzes the severity of a case of domestic violence, as well as stories of former victims.
Challenges we ran into
The making of the code was quite challenging since all the team members are not very proficient in programming. Finding the time to discuss and work on the project at the same time was also quite challenging virtually and required effort from everyone’s part.
Accomplishments that we're proud of
We are proud with how the website turned out and really hope that it would benefit women affected. We are proud of the idea and know that if this website was further developed it would help many. We are also proud that we have attended our first hack-a-thon.
What we learned
We learnt a lot about teamwork and taking part in group projects. Time management and organisation skills were also developed as we had to make sure we were able to work on the website at the same time. Furthermore, we were able to further extend our knowledge on HTML, CSS, and JavaScript through the making of this website.
What's next for WADA - Women Against Domestic Violence
We hope to further extend this idea and make it more accessible as an app. This would help a lot of women who are in need of the services we provide on the website and could play a role in the achievement of sustainable development goal number 10 (reduce inequalities) and 16(peace, justice, and strong institutions).
Built With
css3
html5
javascript
Try it out
github.com | WADA - Women Against Domestic Violence | This project helps women deal with domestic abuse providing resources and helping the women identify domestic violence. | ['Emily Zhang', 'AMMI PAUL', 'SARAH BENOMAR', 'Michelle L'] | [] | ['css3', 'html5', 'javascript'] | 41 |
10,196 | https://devpost.com/software/enviro-score | Environmental goals (Goal13,14,15) of the UN SDGs
Prizes that we opt-in for SDG category 2, Overall, People's choice award
Our team understands that our environment is being threatened daily by human activity and we should all improve our lifestyle habits in order to protect it. Most people simply just do not realize their actions contribute towards the destruction of the environment, climate change, and global warming; the ones who do realize often pass the blame to someone else. This is a crisis that should be mitigated in a timely manner to avoid catastrophic calamities.
This is a website that assesses the environmental friendliness of the user and generates a score out of 100. The scoring will be based on the impacts the users make on climate change, biodiversity, food chain, pollution, and the overall health of the environment. Finally, every question will have a detailed explanation of how exactly it affects the three SDG goals.
Hopefully, many people can reach a rude awakening using our product and realize that their habits need to be more sustainable. Our goal is to educate, inform, and persuade all of our users to make better lifestyle choices in order to protect the environment. After all, we all live on one planet.
Built With
bootstrap
css
html
javascript
Try it out
enviroscore.herokuapp.com | Enviro-Score | A rude awakening of our day-to-day environmental destruction | ['Simon Zou', 'Peter Lu', 'Felix Li'] | [] | ['bootstrap', 'css', 'html', 'javascript'] | 42 |
10,196 | https://devpost.com/software/fact-button-coronavirus-edition | Screenshots of our website in action.
Inspiration
After seeing the effects of the coronavirus around the world, guilt seeped through us, as all we wished for was for the past to return to us, but in reality, there are those who are simply trying to see a tomorrow. Bringing awareness to the impoverished children and families suffering during these tough times will hopefully get people to donate to alleviate their financial stress.
What it does
When you press a button, a random fact card will pop up featuring the SDG it falls under and the link to a random charity associated with the SDG.
How we built it
We modelled our design based on a previous web application that one of our group members was working on. This kickstarted our motivation to persevere through difficult problems.
Challenges we ran into
Code side, we ran into a few hurdles. It was the first time for a lot of group members using the programs used. We were not familiar with web design due to inexperience.
Accomplishments that we're proud of
It functions to accomplish its desired task. We were able to use our newly found knowledge to support a good cause such as charities. And although we could not get our website hosted, we learnt a lot trying.
What we learned
We learned the fundamentals to building a website. We also learned how to use Git Hub through the interactive twitch stream.
What's next for Fact Button: Coronavirus Edition
Getting our website to be hosted and fixing very small minuscule minor bugs.
Built With
css
html
javascript
json
typescript
Try it out
github.com | Fact Generator: Coronavirus Edition | This website showcases a button that blesses the user the knowledge of a random fact associated with Poverty and the Coronavirus pandemic to spread awareness of the issue. | ['Ricky51428 Khaing', 'Alex Zhu', 'William-Gao1 Gao'] | [] | ['css', 'html', 'javascript', 'json', 'typescript'] | 43 |
10,196 | https://devpost.com/software/open-commute | *Uncut Video is Linked in the Description of the Demo Video
Inspiration
United Nations Sustainable Development Goal 11
Make cities and human settlements inclusive, safe, resilient and sustainable
One of the subheadings for Goal 11 is sustainable transportation. In North America, transportation infrastructure is universally centered around automotive vehicles, with highways and roads stretching across the city when most destinations are just a few kilometers away. In 2007, Environment Canada reported that 27% of all Greenhouse Gas emissions were from transportation alone. While governments have access to data that can improve infrastructure for more sustainable means of transportation, such as biking, electric scooters, or walking, their decisions are based on the usage of these transpiration themselves. That is, a lack of demand for sustainable transportation means slower growth in sustainable transportation infrastructure.
In a 2018 National Study in the USA,
over 60% of respondents cited "lack of safety measures"
as one of the most detracting factors for commuting by back. Many cite incidents of family or friends being involved in serious accidents while biking or walking.
While existing data on sustainable transportation safety is available to governments and businesses, *there is no easily accessible information directed towards the commuters themselves. *
What it does
Open Commute is a web application that is easily accessible to everyone. Currently, the application serves as a dashboard that visualizes important safety information for sustainable commuters in Toronto and calculates an index that evaluates a commuter's safety by an algorithm based on public municipal datasets from 2010-2018. While information on cyclist and pedestrian accidents is available on the internet, it does not account for how busy or dense a certain area is. Open Commute can obtain GPS coordinates of a commuter and provide an index score based on both the density of commuters in the area and historical biking and pedestrian traffic accidents. It will notify users if the area they are in is greater than the 25th percentile of safest biking/pedestrian traffic areas in Toronto. The web application also helps inform citizens through interactive maps of how sustainable commuters are distributed at a particular time and heat maps for previous accidents across the city.
How I built it
The basis of Open Commute is based on data analysis with pandas and numpy libraries. A lot of data was processed, geocoded and analyzed in pandas, geopy and Nominatim, and Excel respectively, which allowed for easy visualization using pydeck. To avoid complications with front-end and back-end development (and to save a lot of time), I used streamlit to generate the dashboard and mapbox to create map layers based on the filtered data.
The algorithm for determining the safety of the commuting area consists of two parts. First, frequency of coordinates was compiled using pandas, giving values for cyclist density and accident frequency. Then, points were clustered following a connectivity model by summing the values of the closest nodes (grouping coordinates by smallest euclidan distances from a given coordinate set as the centroid). Afterwards, the normal distribution quartiles of the index (cyclist density/accident frequencies) were calculated in Excel, and a function mapping the Open Commute index to the percentiles was obtained by regression.
Algorithm tldr; given a set of coordinates, Open Commute calculates the usage of the two nearest bike-sharing stations and the frequency of accidents at the 100 nearest pedestrian/cyclist accident locations using scipy's cdist. This is used to calculate an index score, which is compared to pre-calculated quartiles to evaluate the commuter's safety.
Challenges I ran into
The biggest challenge was figuring out how to determine safety when no data on commuting routes were given. Since the data is somewhat discrete, I had to cluster values together by finding the closest nodes to a given coordinate point, which is not as accurate as calculating the safety of every point in a given route. I tried reverse geocoding coordinates to give postal codes or neighbourhoods, which would allow for better clusters, but it was taking too long to obtain the information I needed.
What's next for Open Commute
Open Commute can be easily ported to an Android/iPhone app, which would allow for more accurate, real-time location information. More maps and data can be displayed on the web app, such as filters for weather, weekday, and daytime/nighttime. Lastly, Open Commute can be scaled up to other municipalities or communities, in hopes of creating a more transparent, sustainable and safe commute for all!
Built With
geopy
mapbox
numpy
pandas
pil
pydeck
python
scipy
sklearn
streamlit
Try it out
github.com | Open Commute | Advancing sustainable commuting, through accessible data analysis and visualizations on commuter safety | ['Andrew Z L'] | [] | ['geopy', 'mapbox', 'numpy', 'pandas', 'pil', 'pydeck', 'python', 'scipy', 'sklearn', 'streamlit'] | 44 |
10,196 | https://devpost.com/software/ecoshift-sfz2dl | Welcome Screen
Choose a category screen: Users will be able to select the category corresponding to their daily activity.
Home Screen: Shows the estimated savings that the user has made with our app along with the recent categories they have chosen.
Alternative Screen: Shows the harmful effects of the product on the environment along with its green alternatives.
Category: The Environment
SDG: Goal 13 - Climate Action
In the year 2020, humans were presented with a lot of adversaries. From wildfires to Coronavirus, the entire world has suffered. However, more than ever our environment has felt the blow of our footprints on its plants and our punches on its animals. Global warming has, and always will be, one of the world’s most pressing issues. There have never been as many CO₂ particles in our atmosphere as it is now. Statistics show that CO₂ concentrations in the atmosphere are over 414 parts per million; the highest it’s ever been in human existence. However, simple changes in our everyday lives make a difference. We aim to tell the world that your small switches from a single-use straw to a stainless steel one DOES matter. And your commitment to no meat Monday’s DOES reduce carbon emissions. Our app was designed for the everyday person, like you and me, in hopes of encouraging these individuals to make various small, environmentally conscious switches in their lifestyle to build a greener tomorrow.
Our Inspiration
This year proved to be a challenge for every single individual. Our team was inspired by the efforts of generosity displayed by humankind towards the world. We wanted to be challenged and to give back to our community. After a long quarantine indoors, we have noticed easy ways to fix small but detrimental habits. Thus, we are eager to help others improve their own choices of living a greener lifestyle.
How did we build it?
To build this app, we used Java and GUI in an object-oriented programming style. We created multiple classes related to the four different categories in our app, including transportation, food, hydro, and electricity.
Challenges
Some challenges we ran into while coding the app include coordinating codes written in different languages (Python and Java) and communicating effectively with each other due to the physical separation. Coordinating the code written in two different languages was presented as a challenge for us because it was difficult to translate our codes into one language. In addition, communication became more complicated as minor technical issues prevented the team members from smoothly communicating with each other.
What Accomplishments are we proud of?
We are incredibly proud of our ability to collaborate and develop unique ideas in a limited amount of time. Every individual was able to equally contribute to the final project and try their best to complete their tasks. We are also proud of the fact that we were able to transform our ideas into code and app design in the way that we first envisioned our project.
What did we learn?
Throughout our Hackathon journey, we learned that collaboration is an important aspect of a successful group project. Everybody that was a part of this came out as a better leader and team worker than they were before. Additionally, we were able to share and take everyone’s ideas into consideration. We were also able to learn and develop new skills related to the process of designing and coding an app. In addition, the 24-time constraint pushed us to plan our time efficiently and manage our time while accommodating other team members.
So what’s next for EcoShift?
In the future, we hope to largely expand our app, EcoShift, by expanding our reach to customers through social media platforms, as well as online content ads. Eventually, we also hope to expand our category selection to accommodate more customers' needs including alternatives for clothing and hygiene products.
Built With
gui
java
netbeans
oop
Try it out
github.com | EcoShift | EcoShift aims to provide greener alternatives for every day tasks and strives to inform citizens of the harmful risks of daily activities. | ['https://drive.google.com/file/d/1IJIpy3yW1haajsud6T3uXjYkVZIzsbW6/view?usp=sharing', 'Rachel Kwan', 'Catherine Zheng', 'Emily Su'] | [] | ['gui', 'java', 'netbeans', 'oop'] | 45 |
10,196 | https://devpost.com/software/g2g | Get to Give logo
Inspiration
Our Earth remains the same size each passing year. Yet, the amount of waste we produce only keeps increasing. We realized that most of this waste can be avoided simply by promoting waste reduction through the reuse of old materials. This idea sprung from one of our teammate’s first-hand experiences. Seeing his mom using social media to buy and sell used materials in an online garage sale, he started thinking, why not implement this on a larger scale and incentivize re-use by eliminating all costs and hassles involved by making system easier to use, more specific to resource-sharing, and to make it easily accessible and available for others? This would also help the preservation of our natural resources by causing a reduction in demand for new industrial products.
What it does
Get to Give is an open-source, federated, and distributed platform website designed to cycle used products through communities and encourage responsible consumption and production, and in turn, form sustainable cities. Users can create an account, and immediately begin giving away and/or requesting items. The idea is that instead of most people outgrowing their items and throwing them into landfills, they could donate them or ‘give them away’ to someone else who is in greater need or who wants this item. This would result in less waste being produced from communities overall as well as less production of new materials.
How we built it
The website is built with Flask. Internally, the database is PostgreSQL, although that doesn't show up in the code at all (database management is via SQLAlchemy). Tentative support for locations via OpenStreetMap is included in the backend, although it's not hooked up to anything.
Challenges we ran into
Dealing with the mess that is web design is not particularly easy. In addition, I don't have a lot of experience with databases and SQL in general, so SQLAlchemy took a long while to get used to.
Accomplishments that we're proud of
We have a working website! It also looks pretty sweet.
What we learned
SQLAlchemy is great, ignoring the learning curve. Websites can be fun to make (once initial styling is done). HTML5 and CSS flexboxes are a lifesaver.
What's next for Get to Give
Built-in e-mail server, so that mails can be received and forwarded as needed.
Anonymous giveaways / requests, which route communication through the TODO web server.
Hookup OpenStreetMap with localities so that new localities can be added.
Properly setup distributed server support, by allowing communicating with other servers, and retrieving a default server list from the Git repo.
Clean up HTML and CSS, focusing more on nice Jinja features.
Full rewrite of backend, spreading out into more files and modules.
Document backend properly.
Add remaining missing pages.
SDGs
Subtopic Industry
Goal 11: Sustainable Cities and Communities
Goal 12: Responsible Consumption and Production
Built With
css
html
python
Try it out
git.sr.ht | Get to Give | Your waste is someone else's treasure | ['Malika Iyer', 'Aashika Nair', 'Chirag Karthik iyer'] | [] | ['css', 'html', 'python'] | 46 |
10,196 | https://devpost.com/software/techshare | Landing page
About page
Buy page
Sell page
Log in page
Sign up page
Inspiration:
We're targeting
SDG 12: Responsible Consumption and Production
. Try our website out at
https://techshare.x9du.repl.co/
Electronic waste -- or e-waste -- is a sustainability issue that continues to grow rapidly more critical. The Global E-Waste Statistics Partnership, founded in part by the United Nations University, documented a record
53.6 million metric tons of e-waste generated in 2019 alone
-- up 21% in five years, demonstrating the
enormous burden
humanity has put on themselves and the environment through
excessive material consumption
. However, even though numerous consumers and corporations dispose of e-waste every day, only
20% of e-waste is ever recycled
.
At the same time, wealth inequality has created a
great imbalance of access to technology
both globally and within the United States. The
COVID-19 pandemic
has only exacerbated these differences, and made it harder for working adults and children in
distance learning
to access the tools they need.
More than two-thirds of countries
have introduced a national distance learning platform, but among
low-income countries the share is only 30 percent
. Before this crisis,
almost one third of the world’s young people were already digitally excluded
.
While our old technology lies around collecting dust after updating to the latest models, other consumers and facilities are in need of secondhand technology. To solve this issue, we developed a website designed to facilitate the
reuse of electronic products
as well as provide
funds and secondhand technology
for those in need.
What it does:
TechShare is a
marketplace for technology exchange
. Individuals and companies can
donate or post listings
for their electronic products, and, unlike other for-profit corporations, sellers can choose to have
20-100% of profits donated to charities
for expanding access to technology, COVID-19 relief, etc. Additionally, public facilities like schools, libraries, and shelters can
request donations of computers
and other technology. This would help
reduce the number of digitally excluded students
around the world and allow more schools to implement distance learning platforms during the duration of the COVID-19 pandemic.
How we built it:
Before we could even begin we had to choose a method of sharing code, after considering a couple including git we settled on
repl.it
. Then, we began by flushing out the basic concepts that would form the backbone of our project, setting up
Firebase
to use as our database and
TravelTime
for geocoding. With these in place we split up and began to work on the pages of our website, using
Javascript
to design two pages to buy and sell products, as well as create the sign up and login interfaces. After completing most of these larger pieces, we were able to get into the finer details. We finished with the fine tuning of
CSS3
and the
HTML5
to ensure the UI was clean and easy to make sense of.
Challenges we ran into:
Since all of us were more experienced in backend development, it was challenging but fun to try and envision the frontend on this project. In addition, none of us had ever worked with Firebase or TravelTime before, which required a lot of research as well as adjustment to their unique quirks. On the backend, due to the website’s multiple HTML pages we had to learn how to pass variables through different pages, and in order to limit listings based on distance to the buyer we learned to use geocoders and calculate the distance between different locations. The Buy page in particular gave us a lot of trouble because the asynchronous nature of Javascript allowed the code to run non sequentially, which messed up our search features.
Accomplishments that we're proud of:
We successfully integrated a Firebase database into our project, allowing users to sign up and create their own accounts, as well as keeping track of which user is logged in on each page. We also figured out how to store each user’s own listings with their profile as well as products that they’re interested in buying. Although we ran into several issues with the Buy page as well as front end UI, we solved them within the hacking period and created a product that all of us are proud of.
What we learned:
Starting off with minimal experience in JavaScript created the opportunity for huge leaps in knowledge dealing with asynchronous functions. The hours spent researching way after way to keep code running in sequence will not soon be forgotten. As with any Html Project we also gained more knowledge in working with CSS, learning the subtleties that can make or break the design of websites. Working with Firebase was also a good intro into what goes into a database, and the methods and mechanics of creating, searching, and getting.
What's next for TechShare:
Next steps for TechShare would be an expansion on some of the features that would improve the functionality. Options such as filtering, and sorting our searches, and creating bids for item listings were functions that didn’t quite make the cut this version. A system for dealing with payments and a more robust encryption service will also need to be implemented.
Built With
css3
firebase
html5
javascript
repl.it
traveltimeapi
Try it out
techshare.x9du.repl.co
github.com | TechShare | reducing e-waste, rebooting tech | ['Katherine He', 'Sam Tomlinson', 'Cindy Zou', 'Lydia T.'] | [] | ['css3', 'firebase', 'html5', 'javascript', 'repl.it', 'traveltimeapi'] | 47 |
10,196 | https://devpost.com/software/full-hearts | Home (basic information about the USDA supplemental nutrition assistance program along with direct links to other helpful resources)
Food Items (what food items are eligible for purchase using an EBT Card)
Eligible Locations (grocery stores and restaurants near you)
Food Distributions (other resources)
INSPIRATION
Even as the world continues to develop at a rapid pace, introducing new forms of incredible technology and devices, there is actually a widening gap between the rich and the poor. This limits the lower classes’ ability to access even the most basic of necessities. In order to provide resources for these “lower classes,” the government has set forth programs that equip families and individuals with financial benefits to buy food. However, even with this aid, many families go hungry due to the inaccessibility and unawareness regarding food to purchase.
WHAT IT DOES
Our project, Full Hearts, aims to centralize information so people can easily make full use of government benefits and get access to food. Users can be directed to apply for Electronic Benefits Transfer programs and locate nearby retailers and food distribution centers. Information on the list of groceries and the categories of food customers can buy is also provided to make the shopping process efficient and accurate.
HOW WE BUILT IT
We were able to code a website using HTML, CSS, and JavaScript on Repl.it to serve as our platform.
CHALLENGES WE FACED
We ran into several challenges because of our inexperience with web development, such as embedding links and making everything aesthetically pleasing utilizing CSS.
WHAT'S NEXT FOR FULL HEARTS
Our next step for Full Hearts is to optimize the platform so that it can be used globally. This includes tailoring each country’s version of the website, so that accurate food information can be found. We would also like to create an account system on this website, where users can check their “balance” of food stamps, and some form of eligibility calculator.
Built With
css
html
javascript
repl.it
Try it out
www.fullhearts.ml
repl.it | Full Hearts | Keeping families around the world full and happy. | ['Hannah Jang', 'Rhea Jethvani'] | [] | ['css', 'html', 'javascript', 'repl.it'] | 48 |
10,196 | https://devpost.com/software/expenso | Wasted food, energy, and money are common practices around the world and can lead to unhealthy financial and physical health. We wanted to give users a score given their spending information to show how they could improve their spending and resource use. Our project corresponds to Goal 3 and 12 of the SDGs and Category 3 - Industry.
What it does
Expenso is a webapp designed to help you manage your lifestyle and expenditures all in one!
Upon making an account (work in progress), you'll be able to input your personal health and fitness levels, your regular spending and consumption habits, and your personal goals (also work in progress). Expenso will calculate an eco-friendliness rating, which is a relative rating level of your data in comparison to the population (not in progress yet). From there, it'll guide you through different ways to increase your rating through a stronger diet, thoughtful consumption of basic utilities, and so on.
Ideally, it would be able to track your habits over time and adjust your rating accordingly, while giving suggestions for improvement in expenditure and consumption. It would also rank you against other people on the site and allow you to compete.
Challenges I ran into
Using Firebase made absolutely no sense so we tried to learn how to use MongoDB. The entire group also suffers a collective addiction to League of Legends (ARAM only) and cannot focus for more than 15 minutes at a time as a result.
Accomplishments that I'm proud of
Making the website respond to us to simulate human interaction that we haven't received in 4 months.
What I learned
How to focus for more than 15 minutes at a time.
What's next for Expenso
Learning enough to fully implement all of the features we had expected in our MVP.
Built With
css3
firebase
html5
mongodb
node.js
Try it out
github.com | Expenso | Bills and expenses calculator that outputs a eco-friendliness score and suggestions for improvement. | ['Dylan Xiao', 'Simhon Chourasia', 'Ryan Li'] | [] | ['css3', 'firebase', 'html5', 'mongodb', 'node.js'] | 49 |
10,196 | https://devpost.com/software/global-health-model | A photo of the Global Health Model page
Inspiration
Our project was inspired by the substantial lack of effective health statistic visualization programs available to the public. A vast majority of the information on the internet is encoded in boring graphs or other barely readable forms, which greatly inhibits peoples' abilities to get a clear picture of the health conditions around the world. With our model, we seek to provide anyone with quick and convenient access to global health information without the need to search through numerous sites. We seek to forward the basic human needs of third world countries by providing well-rounded data that will ultimately work towards the improvement of good health and well-being of those in need.
What it does
The Global Health Model offers an easy way for more people to get access to usable health statistics. It offers an aesthetically pleasing and interactive 3D globe combined with multiple datasets from the World Health Organization's public API to help the user "see" what's going on around the world. A timeline function is also present so people can compare past health statistics and predict potential trends.
How I built it
We employed many cutting-edge technologies to bring our creation to life. By adapting around a popular open-source webGL globe rendering engine, we were able to use HTML, CSS, and Javascript to create our product. We implemented our own proprietary JSON-database parser/analyzer to fully employ the capabilities of the WHO's Athena API. We also created proprietary python web crawlers to help create our site, which drastically decreased our production time. With these tools, we were able to build a fully interactive 3d-globe to help visualize the modern health crises around the world.
Challenges I ran into
Throughout the development of GHM, we ran into many challenges. For many of our members, this was the first experience with Javascript. Despite this, we were able to adapt to each member's needs and create a dynamic and welcoming environment. In addition, because of chrome limitations, it was difficult to test the site locally. To combat this issue, we created custom WSGI development servers for our members to use and develop. Overall, we faced and persevered through many hurdles throughout the development of GHM.
Accomplishments that I'm proud of
We're proud to have managed to decode and reverse engineer the globe-rendering engine used; a complex yet necessary task that took a great deal of effort and laborious hours sifting through thousands of lines of code. Another accomplishment was the feat of making the website visually appealing. It took many stages of revision and lots of work to create the polished-looking product we now have.
What I learned
Throughout the development of the Global Health Model, we learned the value of communication in group coding projects. Communication is important in order to split up tasks among the group to maximize efficiency and to get everyone's opinions for improvement. We also learned about the importance of readable and concise code to ensure that it is understandable to groupmates.
What's next for Global Health Model
The most obvious way to advance the Global Health Model is to expand its dataset by taking more statistics from WHO and other sources. Another improvement could be the implementation of a country compare feature, where you can compare a list of statistics from one country with a list from another in different categories.
Built With
3d
api
css
html
javascript
jquery
python
rest
statistics
visualization
who
Try it out
globalhealthmodel.github.io | Global Health Model | Visualizing WHO statistical models to help spread awareness and inspire motivated individuals to take action on the global heath situation. | ['Edward Li', '2.718281828459045 Sivatharan', 'Julien Liang', 'Fan Yang'] | [] | ['3d', 'api', 'css', 'html', 'javascript', 'jquery', 'python', 'rest', 'statistics', 'visualization', 'who'] | 50 |
10,196 | https://devpost.com/software/chroniclear | Homepage
Instructions page
Hover Design
More Info page
dart code in Flutter
Inspiration
When browsing through a library, it is important to return books to their original positions after taking them out. Although, frequently, a book’s initial spot can easily be forgotten leading to books being placed out of order or being returned damaged. At times, rearranging and reordering these books can take hours to even days.
With the app ‘Chronicle’, book lovers will be able to easily access a book’s information without even touching the book itself. Not only does this save time, but it also allows users to quickly scan bookshelves and determine whether or not to borrow the book, while preventing damage or misplacement.
What it does
With Chronicle, users will simply have to take a picture of a book’s spine to easily view relevant information. They will also be able to access specific details of the book.
Contributions
This project was made during the 2020 SET.Hacks() Virtual Hackathon.
Team members:
Nick Liu, Daniel Liu, Nithin Muthukumar and Jeannie Quach
How we built it
The mobile app was built using Flutter for the frontend. The API calls in the backend was done using Express.js. These calls included the Google Vision API for text extraction as well as the Goodreads API for book data.
Challenges we ran into
Originally, the app was to include an AR component. However, we had a great number of issues using the AR package in Flutter as the package is still very new and poorly documented. Additionally, other AR packages were difficult to use with Flutter; therefore, it was decided that there would not be an AR component in our project, in the interest of time.
Accomplishments that we're proud of
*Learned the basics of Flutter and created a working app within a limited time
*Learned how many new concepts such as, dart, graphql, expressjs and js
*Created a working camera scanner
What we learned
We learned about many aspects of front-end and back-end development. Our team was not familiar with Flutter and had to learn it for this project. We also had to learn many things about API requests and asynchronous code. Additionally, we learned the importance of researching packages and libraries before choosing to use them for projects.
What's next for Chronicle
*Figure out how to add AR in app
*Create working ‘relevant info’ and ‘more info’ pages
*Create an ordering books section
Built With
dart
express.js
figma
flutter
goodreads-api
google-vision
graphql
javascript
Try it out
github.com
github.com | Chronicle | A book scanner for easy library browsing. | ['Nick Liu', 'Jeannie Q', 'Daniel Liu'] | [] | ['dart', 'express.js', 'figma', 'flutter', 'goodreads-api', 'google-vision', 'graphql', 'javascript'] | 51 |
10,196 | https://devpost.com/software/aquaponics-sim | Showcase of the User Interface
Showcasing Nutrients and Temperature Features w/ More Stats
One of our teammates went to Epcot and saw an aquaponics system in action as part of a demonstration. This really intrigued him, as he was very interested in fish, and this system showed how we can use fish and plants in order to make a sustainable system. He brought this idea to us when we were planning for this hackathon, and we all agreed that this was a very interesting concept.
This program takes user input and simulates the concept of an aquaponics system, and the expected result of the inputted variables.
It was built using Java on the NetBeans IDE and Atom Text Editor.
We had a few issues with GitHub, as some of us have never used it before.
Accomplishments that I'm proud of
What I learned
What's next for Aquaponics Sim
Built With
java
Try it out
github.com | Aquaponics Simulation | A simulation of an aquaponics system, can be adapted into an aquaponics control system. | ['Darien G', 'Alex L', 'Xionkairi33'] | [] | ['java'] | 52 |
10,201 | https://devpost.com/software/psy_pal_mental_health_demo | Homepage
Inspiration
Mental health is often an overlooked and stigmatized issue in many developing countries, in spite of its prevalence. In Indonesia, surveys show that at least 15% of youths aged 18 to 24 have experienced some form of mental health issue, and that 27% of the total population have reported experiencing suicidal thoughts. The Covid-19 pandemic has highlighted the urgent need for reinvestment in mental health, as altered daily routines, financial pressures, extensive social isolation and information overload continues to take its toll on mental health.
Studies do show, however, that the population has begun to take mental health seriously, with 90% of survey respondents agreeing that mental health should be given as much consideration as physical health. Nonetheless, several physical and social infrastructural weaknesses in the system exist, resulting in:
1) More than 50% of those suffering from mental health issues not seeking treatment, citing concerns that they are
unsure where to get help from
(Indonesia’s National health insurance program, JKN, does not cover psychological services despite high demand for it), the cost of treatments and social stigma,
2) Many
mental health issues ending up getting detected and diagnosed too late
, leading to poorer outcomes and increased mortality, and
3) Patients who do end up seeking professional help end up with extremely infrequent appointments, due to Indonesia’s severe shortage of licensed psychiatrists (1 psychiatrist for every 323,000 people). This leads to
patients having difficulty recounting what has happened since their last appointments
, and overworked
providers who may have difficulty keeping track of patient records
.
What it does
Psy Pal aims to mitigate these pain points found in the mental healthcare system. One feature of our solution is that it allows users to record daily data points, such as stress levels, energy levels, notes about the day, sleep quality and mood. In addition to this, we have implemented an open source computer vision model that detects heart rate (bpm) using the user’s front-facing camera.
The collected data is passed to the backend and the following processes occur:
1. Using Microsoft Azure Cognitive Services, sentiment analysis is performed on the user’s daily notes that they submit. Their notes are classified into positive, negative or neutral.
2. The rest of the data points, including stress, energy, food intake, heart rate, etc., are passed into a Machine Learning classification model hosted on MonkeyLearn. This model is trained based on datasets from
https://data.humdata.org/dataset/who-data-for-indonesia
. It classifies the user’s entry into one of the following 5 categories:
I. Asymptomatic
II. Non-specific mental distress
III. Shows some signs of mental illness, at some risk to self and/or others
IV. Shows obvious signs of mental illness, at risk to self and/or others
V. Recurrence & persistence of obvious mental illness, extreme risk to self and/or others
According to the user’s classification, our app can provide some personalized quick tips for the user to follow. These quick tips are based on information found from credible sources, including but not limited to, medical journals, website pages written by licensed psychiatrists, etc. We would like to make clear, however, that our app is not a stand-in for a psychiatrist’s diagnosis and treatment recommendation. Merely, our machine learning-based classifications gives mental health providers a general view of the user, and helps them track how their patients are progressing throughout the course of treatment. Likewise, the personalized tips are for users to obtain some short-term relief from any negative emotions they may be feeling before they can be put in touch with a provider.
Users and mental health providers alike can keep track of patient data through the Weekly Summary feature on the dashboard.
Finally, all users can quickly and easily book an appointment with a registered mental health provider through the app. Users can share their recorded data prior to their appointment for their provider to peruse. With this, providers are able to track patients’ data points more continuously between appointments, instead of having patients recount all that has happened to them since the last therapy session, where there may be room for bias, misinterpretations or forgetfulness. This results in more holistic and objective input, which providers can use to make more accurate diagnoses, assessments and recommended treatment options.
To reiterate, we hope that our solution is able to mitigate the pain points in a patient’s journey to seek treatment, by:
1) Providing them with an
easy way to book appointments
with mental health providers through the app,
2) Continuously collecting data points, which our machine learning model can classify to be able to
detect mental health issues earlier
, as studies have shown that earlier detection and intervention results in less intense treatment, reduced mortality and reduced disability, and,
3) Making it
easier for patients to recount how they were feeling each day
, and for overworked
psychiatrists to keep track of patient records
, as all of the data has been digitized and is easily accessible through the touch of a button.
How I built it
See credits below for open-source software, code and datasets that were borrowed
We have used React.JS to build the frontend of our solution. This is connected to our Node.js backend through the HTTP POST calls (REST API). We used open source templates from material UI and the structure of a more rudimentary mental health tracker(1), which we revamped to make our own web platform. This helped us cut down on development time in order to fit our work into the 36-hour timeframe we had.
Our computer vision-based heart rate detector was based off of open source code(2) that used Python openCV and machine learning libraries, to detect the user’s heart rate with 90% accuracy. We cleaned and enhanced this code to allow for the camera to measure heart rate faster and to immediately store this data.
We utilized Microsoft Azure’s Sentiment Analysis model(3) to quickly and efficiently detect sentiment (either positive, negative or neutral) from the user’s notes in the daily data points entry feature. To classify the user’s mental health status into one of the five categories listed above, we used a Support Vector Machine classifier hosted on machine learning website MonkeyLearn(4), and trained our model using cleaned datasets taken from the WHO(5). Over time, we hope to continue training our algorithm on more and more user data to continue developing its parameters and to become more effective in giving early warnings of mental illnesses.
Credits:
(1)
https://github.com/laurajodz/mood-app-client
(2)
https://github.com/thearn/webcam-pulse-detector
(3)
https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics/
(4)
https://monkeylearn.com/
(5)
https://data.humdata.org/dataset/who-data-for-indonesia
Challenges I ran into
Accomplishments that I'm proud of
What I learned
There were a few key challenges that our team faced. Firstly, from a technical standpoint, this was the first time any of us had used React for frontend development. Along with this came all the challenges of navigating to learn a new framework. However, all of us managed to obtain a solid grasp of the basics relatively quickly, in order to code a minimalist yet functional user interface to connect to our backend.
We also found it difficult to prioritize which key features we would include in our solution so as to not be overwhelming while still highlighting our vision. Including every one of our ideas to add on as a feature would have been impossible given the time limit, and in the end we had to really get into our ‘Minimum Viable Product’ mindset to sort our proposed features based on importance, and to come up with our finalized product.
Finally, while some of our team members have done hackathons before, this was the first time any of us did a virtual one. This virtual aspect, and the fact that some of us were in different countries, posed some communication problems, something we foresaw prior to joining. A couple of methods we utilized to mitigate this issue was to have Scrum meetings every 2-3 hours to keep each other updated on what we have done, what we are doing, and any problems we are facing. We also took the time to draw up a “social contract” before starting the hackathon to outline our expectations for each other.
What's next for Psy_Pal_Mental_Health_Demo
One feature we wanted to include but did not have enough time to implement was a geolocation feature, which would allow users to input their location, as well as other details such as their insurance provider, for the app to create a shortlist of the names and locations of mental health providers in the user’s area. We hope this will aid users who may prefer face-to-face, as opposed to online, appointments, but who are still unsure of where to find help.
As a next step, we hope to partner our app with therapists and psychiatrists from local and international mental health NGOs. As one of Indonesia’s problems is the severe shortage of providers, we hope that this may bridge the gap between supply and demand, hopefully also leading to more frequent appointments between patient and provider.
Finally, we want to be able to include more data points that can be collected automatically, in addition to heart rate, which we currently have now. Devices such as FitBits and Apple Watches are already able to measure blood pressure, keep track of exercise and objectively assess sleep quality. In the future we hope to be able to include a feature that allows a user to import these kinds of data from their smart watches and devices.
Sources:
https://www.thejakartapost.com/life/2019/06/23/more-than-one-in-four-indonesians-experienced-suicidal-thoughts-survey.html
https://www.policyforum.net/covid-19-and-mental-health-in-indonesia/
https://www.thejakartapost.com/news/2020/06/09/more-mental-health-workers-needed-to-address-effects-of-covid-19.html
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6217178/
https://link.springer.com/chapter/10.1007/978-3-540-89208-3_324
https://pdfs.semanticscholar.org/9b60/2ed5a69bc5b918bf69d830845d4604f83454.pdf
https://www.socialworkdegreeguide.com/lists/5-long-term-benefits-of-early-mental-health-intervention/
Built With
api
azure
classification
css
monkeylearn
node.js
opencv
python
react
rest
sentiment-analysis-online | Psy Pal | psy pal is a one-stop solution for all your mental health needs. It tracks user data and provides insightful analytics that facilitate effective communication between user and provider. | ['Owais Kerney', 'Preya Shah', 'Mazel Mihardja', 'Kenzie Mihardja II'] | ['Best Health Hack', 'Wolfram: The Wolfram Award', 'Best use of Microsoft Azure'] | ['api', 'azure', 'classification', 'css', 'monkeylearn', 'node.js', 'opencv', 'python', 'react', 'rest', 'sentiment-analysis-online'] | 0 |
10,201 | https://devpost.com/software/ustudents | uStudents Future Rooms Implementation
uStudents Future Gamified Experience (University Students)
uStudents Future University Students Dashboard
uStudents Info Setup Page
uStudents Sign Up Page
uStudents Homepage
Inspiration
Our first year in university led us to create this project. The four of us felt that we were diving in head-first into a completely new world, so far away from home, with no valuable information whatsoever that could be of use to us. It was a scary experience to go through, and we don’t want anybody to experience such a thing ever again— that’s why we created Ustudents.
What it does
Our project aims to solve the stress and uncertainties of going into university. Utudents allows high school students to connect with university students so that they can ask questions, express concerns, and make new friends— all before entering university.
How we built it
The three developers decided to use React and Redux for developing the front end, and Google Firebase for the Backend. We decided to use Firebase since we feel it will save us time regarding authentication and setting up real time sockets. We used firebase authentication for user authentication and cloud firestore for noSQL database that supports real time updates. We also used Semantic UI for our UI framework.
Challenges we ran into
Collaborating with others online
Distribution of tasks
The short timeframe, mixed with schoolwork
Unstable internet
Generally, we feel that online hackathons are harder than the offline ones since each team members still have other errands to do, unlike in an offline hackathon.
Accomplishments that we're proud of
Being able to turn prospective ideas into a working prototype in just a short time period
Being able to brainstorm ideas as a team and making it happen
Being able to coordinate relatively well even from afar
Finishing our MVP despite many hurdles and limited timeframe
What we learned
We learned that we should plan our ideas ahead, and aim for a small MVP first, instead of going over our heads and not finishing the project. We almost didn't finish our project since our MVP was unideal at first.
What's next for Ustudents
Next, if this receives good feedback from the judges, we will continue to develop it, having some ideas in our mind for future improvements. First, we would polish our app (minor UI improvements), then we would implement a Room feature, where users can either create or join a room with similar users to discuss university-related stuffs and make new friends. Also, we weren't able to make the University Students Dashboard, we planned to have a gamified experience for University Students, so that each time they connect with a highschool student they get a point, and if this point is accumulated, they can level up and unlock rewards from sponsors.
Built With
firebase
javascript
react
redux
semantic-ui
Try it out
github.com
test-ghacks.web.app | Ustudents | Ustudents is a web app that allows fresh highschool graduates to connect with university students to learn more about their university and the majors he/she are interested in.. | ['Felix Mangundap', 'Lucia Tirta Gunawan', 'Fransiskus Filbert Mangundap', 'Kevin William'] | ['Best Education Hack', 'Wolfram: The Wolfram Award'] | ['firebase', 'javascript', 'react', 'redux', 'semantic-ui'] | 1 |
10,201 | https://devpost.com/software/tip-panda | Business Plan -
https://docs.google.com/document/d/1I4wBwRRYEmvL6qafLt9Ih93cR5fbHhTYCgpsdbV2WfI/edit?usp=sharing
Pitch Deck Slides -
https://docs.google.com/presentation/d/12-arqmuH6cdw9Qoxk9UpYxFOtCD2MJeuBWyScLlWdhs/edit?usp=sharing
Inspiration
After a meal at a restaurant, we tend to write a tip to the waiter/waitress who served us, but have you ever wondered where that money is going and how exactly is it being distributed? In reality, the current tipping system does not credit each employee fairly for their share of the work. We were inspired by the opening keynote speakers who mentioned that there is a large plurality of the population who remain unbanked or underbanked, and a large number of this population earn their livelihood through the food service industry.
There are 3 current options for distributing tips in restaurants, all of which can negatively impact certain employees:
The restaurant distributes all tips equally among all employees, in which case employees who work harder don’t get their fair share of the tip
The restaurant allows employees to keep their individual tips, in which case employees such as chefs and cleaning staff don’t get their fair share of the tip
The restaurant holds on to tips and often does not fairly or transparently distribute the tips amongst employees
Tip Panda is our solution to ensure equitable tipping in restaurants, and helps strike a balance between equal and unequal tipping. This system ensures that all employees, whether it be chefs, waiters or cleaning staff, get tipped fairly, thereby incentivizing quality service.
Tip Pooling as a concept is currently available only as localized and relatively feature-scarce solutions; so we decided to come up with an approach that closes the loop on fair and equitable payments as we integrate with our microloan service.
What it does
Tip panda provides a digital platform for tip sharing, and forms a direct link between the customer and the employees to increase equity and incentivize quality work. We use a novel rating system and algorithm to give extra credits and incentives to harder working employees. This system works in the following way:
Tipping System
After a meal, the waiter/waitress opens up Tip Panda, and selects the names of all the employees involved in preparing the meal (such as the chefs, cleaners etc.)
Next, our app automatically generates a QR code that links all this data to our database. The customer now opens Tip Panda and scans this QR code. Then, they enter the tip amount, and also optionally rate their experience such as the food, service, hygiene etc.
Now, the customers can pay the tip with the click of a button, and the money is transferred to a pooled tip jar for the restaurant, where it is split equitably among the employees based on ratings. If no ratings are given, the money is split based on an employee-specific average of previous customer’s ratings. To make this system fair, the bias is reset every month. We also make all the tip data available to all the employees to view to ensure integrity.
Loan System
There is also a microloan system where employees can request loans from a common restaurant tip jar. These loans are either accepted or rejected based on voting by the other employees. For the employees who vote yes, their share of the loan will be transferred to the employee in need. The employee in need will be required to pay back the loan on a deadline of their choosing. The employees who vote in favor of the loan have the interest repaid with the loan divided amongst them in a manner proportional to the funds provided for the loan.
Restaurant and Employees
Each restaurant is owned by a manager account, who can add or delete employees from the restaurant, as well as assign roles to the employees (either chef, server, or cleaning staff).
Business Aspect
Cost-benefit Analysis
Customer
Assurance of tip reaching the intended recipient
Assurance of equitable distribution based on customer experience
Employee
Guaranteed receipt of tips
Equitable tips that rewards hard work
Ability to loan money
Manager
Employees driven to work harder
Increased customer satisfaction
Reduced work for restaurant
Business Model
0.5% commission on all tip transactions above a threshold
1% service fee on all internal microloans
2% service fee on all external transactions
Advertisements (in app)
Market Size
The global outdoor dining market was 3.2 trillion USD in 2016
Of this, the Asia Pacific Region had a share of 1.13 trillion USD
Averaging tips to 10% globally, gives us a figure of 320 Billion USD
Optimistically, a 10% share of this market will mean 3.2 Billion USD of cash will flow through our system annually
This does not account for other non-food verticals in the service industry such as hospitality, tourism etc.
How We built it
In order to build Tip Panda, we used:
Figma to design the front-end
React native to code the front-end mobile application
Flask python for the backend server for the system
MongoDB for storing user data, restaurant data, orders and loans.
Microsoft Azure functions for back-end endpoints
Challenges We Ran Into
Our first challenge we ran into was designing and creating the over 20 user interface screens, for the customer, employee, and manager interface. Furthermore, being some of our first times, it was challenging to transition to using Microsoft Azure functions for our back-end endpoints. Validating the business model and use case also required considerable amounts of research.
Accomplishments We are proud of
We are extremely proud to have created a coherent working mobile application, and integrating it correctly with our backend server.
Extended Video
https://www.youtube.com/watch?v=TxRpEnLP0Ag
What We learned
We learned how to use and integrate Microsoft Azure functions, as well as MongoDB atlas.
What’s next for Tip Panda:
We hope to fully build and deploy this out at a couple of pilot locations, and then go for VC funding into a full fledged platform.
Built With
azure
figma
flask
mongodb
python
react-native
Try it out
github.com
docs.google.com
docs.google.com | Tip Panda | A digitized equitable system for tipping | ['Veer Gadodia', 'Nand Vinchhi', 'Muntaser Syed', 'Ebtesam Haque'] | ['Best Small Business Hack', 'Wolfram: The Wolfram Award'] | ['azure', 'figma', 'flask', 'mongodb', 'python', 'react-native'] | 2 |
10,201 | https://devpost.com/software/hot-spot-4961jt | Hot Spot Logo
A heat map of sample data. Red = Do not go near!
The dashboard where hospitals/health officials can input data
Registration page for hospitals, including an interactive map
Brief summary of Hot Spot, as seen on the live app
Inspiration
We were inspired by the world’s slow recovery from the COVID-19 pandemic. As people are starting to go outside again, whether necessary or not, there needs to be a system for citizens to know the risks of certain locations. Simply knowing the number of people at a location is not enough; COVID-19 has been shown to remain airborne on various surfaces for extended periods of time. We wanted to create an app that could allow everyone to view the risk of infection on a convenient heatmap, which would allow people to notice patterns and determine which locations are safe to visit.
What it does
Hot Spot
provides users with a live-updated heat map that shows the infection risk of various locations. Data is uploaded by hospitals and health officials about the locations that infected patients/high risk patients have visited recently, as well as how long they spent at that location. Using high-accuracy geolocation API, entries about each patient’s location history and time spent can be easily added and stored in a global database. Hot Spot then compiles this data such that the user can view
any location
on
earth
and select a location to view its risk factor.
Hot Spot
has several implications in helping to stop the pandemic. First of all, it allows the elderly/highly susceptible population to step outside while avoiding the regions of highest risk. Secondly, non-infected people can also check in with Hot Spot so they can stay informed and safely enter the public while avoiding infection (or re-infection). Users can also check locations that they have been to recently, and if the heatmap indicates that that location is high-risk, the user can self-quarantine in order to prevent further transmission.
We believe Hot Spot has the potential to track and stop the transmission of COVID-19 on both a municipal and global scale.
How we built it
Hot spot
is a web app backed by a Node.js server using the Express.js framework. Data from users is sent to the server and stored in a MongoDB database. Addresses and longitude/latitude data was converted using an external Geolocation API. The frontend was created using React and coded in Javascript. The maps on the website used the Google Maps Javascript AP
Challenges we ran into
The challenges we ran into mostly consisted of small debugging issues. However, there was one larger problem when we tried to host our app on Herokuapp.com; we had all our backend files stored in the "backend" folder, but they had to be in the root directory or else it wouldn't work.
Accomplishments that we're proud of
We are extremely proud of Hot Spot overall as it has the potential to make a difference in everyone’s worlds. In particular we are proud of the aesthetic user interface of our app and the global functionality using geolocation API (converting addresses to longitude-latitude).
What we learned
We learned a lot about the full stack development experience. Having to handle all the frontend and backend ourselves, we now have more experience on developing apps and how to maximize workflow. We’ve gained a good deal of experience working with various technologies and APIs, including geocoding APIs, Google Maps APIs, and theming using Bootstrap
What's next for Hot Spot
Next steps for Hot Spot could include an automated verification system to verify hospitals and health officials, so that manual account creation is not necessary. Hot Spot could also implement some AI to recognize infection patterns and make more accurate risk assessments. It would also be useful for Hot Spot to be integrated with location services like Google Location History, which would aid hospitals in creating a location history for a patient.
Built With
css
express.js
google-maps
heroku
html
javascript
mongodb
mongoose
node.js
react
Try it out
github.com
garudahacks-hot-spot.herokuapp.com | Hot Spot | An app that keeps the community safer by heatmapping patient history and analyzing the risk of infection for every location. | ['Arthur Bright', 'Bryan Chen'] | ['Best Pre-university Hack', 'Wolfram: The Wolfram Award', 'Runner-up Best Health Hack', 'Script Foundation Awards'] | ['css', 'express.js', 'google-maps', 'heroku', 'html', 'javascript', 'mongodb', 'mongoose', 'node.js', 'react'] | 3 |
10,201 | https://devpost.com/software/empunya | This is our logo, which represents how we are able to bridge and connect women in Indonesia, despite their differences.
Inspiration:
Women have always been viewed as “second class” citizens. As a team of four women ourselves, we often get asked empty, meaningless questions like “when are you getting married?” And sometimes even pointless and demeaning statements like “women don’t have to study so hard, they will eventually get married.” We are at a time and place in life where women are recognized as more than just homemakers. Our interactive website aims to provide a platform for women who want to showcase what they are capable of to the world. We want to give power to women to be themselves and hold their own ground without being dependent on their spouse or household.
This project is inspired by the women in our life, who have powered through their life, being unapologetically themselves
. They can be our grandmother, mother, sisters, and many more. One woman in particular that has been an embodiment of female empowerment is Najwa Shihab, one of Indonesia’s famous TV hosts. She is not just a pretty face, but she is also the face of support for women in Indonesia.
What It Does:
Our website pushes forward the discussion regarding female empowerment into the community in an innovative way, by merging business and education. It acts as a platform that can be utilized by people to shop, sell, and learn. Our website aims to help bridge and connect women of Indonesia through business ventures. Our platform also supports women and their businesses by providing relatable articles and promoting upcoming workshops.
Female entrepreneurs, no matter where they are in their stage of business, can be part of
empunya.
by signing up. Once they are signed up, they can start posting their products for the public to see.
The general public can view local or artisanal goods posted on our website and navigate through our website categories to find the seller information.
Everyone is also welcome to join the business workshops promoted on our website (free/paid directly to hosting organization) and to read our articles on how to run a business from the ground up (free).
The public can also promote their workshops or send in their article to be featured in our homepage by simply emailing us their materials for approval.
How We Built It:
This website is built using the no-code programming tool,
Bubble.
Challenges
As this is our first ever Hackathon, there are a lot of challenges that we went through as a team. However, in the end, everything went well. Our very first challenge that we experienced was determining the purpose of our website. We wanted to make an insightful, yet impactful website to help alleviate some of the problems in Indonesia. We decided to help tackle an issue regarding the strongest, but also vulnerable group of people in the country: women. As the popularity for online business continues to boom, we decided to do just that: to create an e-commerce platform targeted towards women who wish to learn business and start one.
The second challenge that we ran into is creating a website that can easily be introduced and integrated into the Indonesian lifestyle from all walks of life, whether they are rich or poor. Therefore, our team decided to deconstruct the website down into easy categories and tabs, keeping it simple and not cluttered with words, which prompts easy navigation.
The last big challenge is creating the website itself. Our group is composed of non-coders, and therefore, we decided to use the Bubble platform. It was hard navigating around it at first, but after a while, we are able to figure out the layout and find things easily. In terms of building the website itself, we found it difficult because we are not used to the various data types and data fields. However, there is a learning curve to this, from watching demo videos, trial and error, and also consulting with the Garuda Hacks mentor through Slack. One of our mentors, Gilly Huga, helped us figure out how to use repeating groups properly and effectively. He helped our team solve technical issues that cannot be simply found on the internet, such as sending a user data to another page.
Accomplishments:
As a team who didn’t have any coding or website-building background, the proudest moment we experience is when we see the website start to form and gain shape. As the hour goes by, more and more pieces start to compliment each other. It is not a perfect piece of tool, but this is a passion project that really hits close to heart.
What We Learned
The biggest takeaway from this Hackathon is definitely the teamwork. In a stressful environment with very limited time, there is no other choice then to depend on each other. At the start of this competition, we had no idea who would be in charge of which part. However, as we went along, we started finding our own roles. It is not about everyone being able to code or everyone being able to work on the website. Teamwork is about working together and trusting your team members. We work well with a schedule and task division. Some of us are in charge of the workflow of the buttons, some are in charge of the layout, and some are in charge of the content of the site.
What's Next
We really would like this project to continue forward. We want it to be an interactive place to buy, sell, and also educate. Therefore, we would like to promote
empunya.
on social media to grow our user base. Technicality wise, we aim to further develop our website-building skills to improve our website’s interface (UI) and add new features/buttons that could enhance user experience in our platform (UX). Currently, we are based in Jakarta, however in the future, we would like to expand to other cities in Indonesia.
Built With
bubble
Try it out
empunya.bubbleapps.io | empunya. | empunya. is a website that aims to provide a platform for women who want to showcase what they are capable of to the world, through supporting their business and promoting their education. | ['Melvinna Tania', 'Amy Salim', 'Amanda Lim', 'Marlyn Tania'] | ['Bubble: Best No-Code Hack using Bubble.io'] | ['bubble'] | 4 |
10,201 | https://devpost.com/software/math-ar-app | Math AR App
A fun, interactive to way to learn math through AR - Made for the Garudahacks Hackathon
This was our very first hackathon and the very first app we made, so this was a very fun and exciting experience despite being virtual.
The Concept
Especially in these times, educating young children virtually can be a very difficult task. So, to better engage and educate young children, we created an app that uses Augmented Reality to display various math tools that can help students learn math in fun and engaging ways.
The main 3D tools we proposed were:
Number Line
Algebra Tiles (used for counting)
Geometry tools (protactor, ruler)
geometry objects
The Technology
The main technologies in this project are:
Flutter - Used to create an android app that users interact with to learn math through AR
Unity - Used the Arfoundation and echoAR packages to enable viewing of AR scenes on an android device
echoAR - Used this AR content management system(and its associated tutorials/libraries) to easily store, update, and retrieve 3d models used in this app
Working Features
This app is incomplete, but we were able to implement the homepage UI and the basic number line feature
The Number Line feature displays a random arithmetic problem at the top of the screen which users can answer by using the 3D number line AR object
Problems are randomized addition or subtraction problems with answers in the range -9 to +9, which is the range of the 3D number line
We had some difficulty displaying our own custom number line model in the application, but we show that the number line model does work when displayed through a web link from the object's echoAR QR Code
Built With
dart
echoar
flutter
unity
Try it out
github.com | Math-AR-App | A fun, interactive to way to learn math through AR - Made for the Garudahacks Hackathon | ['Bhargav Chandaka', 'Manav Chandaka'] | ['echoAR: Best Use of echoAR'] | ['dart', 'echoar', 'flutter', 'unity'] | 5 |
10,201 | https://devpost.com/software/befit-hsu0i1 | BeFit
Let me walk you through the core idea of Be.Fit.
Here we are majorly providing 2 services to the customer.
Jog
Exercise
We'll first talk about Jog.
Have you ever thought of going for a run or jog or walk, outdoors, to get a better and healthy lifestyle?
But where would you walk with the environment polluted at higher toxic levels than ever that will affect your health in a very bad way? We are in a smoke, smog, pollens, trash ridden place, whose air is bad to breathe and parks un-walkable.
BeFit provides you with the purest cleanest routes to take a stroll without harming yourself that would have happened otherwise. The route selection takes into consideration the weather, pollen content, pollution, air quality index, time of the day and traffic data too so you get a pleasant experience and can also cycle all the way.
Jog is a web app in which the user inputs its location, how km he wants to walk or cycle and bam that's it,
He'll get the purest path he should Jog on
The end location will be his current location.
This can be easily be scaled in accordance with the density of the corona patients
i.e the path can tell where there are least corona patient positive. This depends on the data provided by the government. We learnt a lot of things while deploying this like how to integrate different API's, integrate and a whole lot of stuff. There were many challenges of API request exceeding its limit etc.
Now I'll talk about our other module of our application i.e Exercise.
“Doing Wrong Physiotherapy exercise is More Harmful than Doing no Exercise “
Using Postnet we make sure that the exercises performed are accurate and give the maximum benefit to our user.
So in general
Pregnant women find it difficult to visit an exercise trainer regularly
Some ladies don’t feel comfortable going to gyms and prefer doing exercise at home
There are people who cannot afford a physiotherapist and require guidance to do an exercise in a particular manner.
At these unprecedented times of global pandemic, we all are stuck in our homes with little or no outdoor activity,
With this module, we have covered all the above-mentioned things.
The provided solution is based on video-based AI that can assist people whether they are doing the exercise correctly or not.
The idea is hosted on a web app accessible to all without any limitation to specific hardware.
There will be a GIF which will be guiding how to do exercise and a counter will be there if you match that GIF then the counter will increase it's value if you don't then counter will remain static. (GIF will be for visual purpose).
By this people can remain fit at home :)
Hope you got some insights of what are plan is.
(The website might take 2-3 mins to update the maps URL for the first time.)
Built With
breezometer
css
flask
google-directions
html
javascript
ml5js
python
radar.io
Try it out
fore-fit.herokuapp.com
github.com | BeFit | Virtual health service platform which provides the user the most cleanest routes to walk on and tells whether you are doing exercise correctly or not at home. Now, you don't need any trainer. | ['ARJUN MOHNOT', 'AMBUJE GUPTA', 'Harsh Kataria', 'SONALI MEHTA'] | ['Wolfram: The Wolfram Award', 'Most Creative Radar Hack'] | ['breezometer', 'css', 'flask', 'google-directions', 'html', 'javascript', 'ml5js', 'python', 'radar.io'] | 6 |
10,201 | https://devpost.com/software/carespace-9zsag1 | Title and Mood Board
Energy Board
Journal Entry on Dashboard
Add a New Journal Entry (1)
Add a New Journal Entry (2)
Journal Bank (1)
Journal Bank (2)
Frequently Asked Questions
Thumbnail
Inspiration
For almost an entire year, the COVID-19 pandemic has pushed us to stay inside most of the time and mess up the healthy practices we usually maintain to take care of our bodies, both physically and mentally. With online schools and work-from-home jobs, people now do everything in one room. As a result, they tend to procrastinate, lose productivity, and lose the grip of their routines including their sleeping and eating schedules. We wanted to make a platform called CareSpace where users can keep track of their physical and mental health, and plan ahead to improve their well-being, so that they live a healthier lifestyle during these tough times.
What it does
CareSpace is committed to guide users towards a healthier physical and mental lifestyle. We provide daily journals, filled with powerful questions wrapped in a simple UI. An entire section is dedicated to create journal entries for users to write their moods, how tired they feel, the events that happened on that day, and plans they want to make to improve their wellness. By writing a daily journal, users can reflect on their past and current state, as well as plan their approach in the future. This healthy habit can bring numerous advantages, including boosting confidence and feeling in control of their lives.
CareSpace also provides users with graphs to visualize patterns and progress from their daily moods and energy. Furthermore, we facilitate smooth and satisfying transitions throughout the application to promote relaxation to the users. We also provide notifications to remind users to finish their plans they made the day before.
Finally, CareSpace has a FAQs section dedicated to inform users about the latest updates regarding the pandemic outbreak and general health information. A dropdown feature is utilized to reveal answers to create a compact and organized user interface.
How it’s built
Our project is built mostly in JSX, an integration of Javascript, CSS, and HTML. We use npm as our package manager, and React.js as the front-end library. We used many open-source APIs, especially Material-UI, a popular framework for React.js hackers. The complete packages we used can be seen in the package.json file.
Challenges
Our biggest challenge was coping with the time difference between the U.S. and Indonesia. Half of our team is working from the U.S. and the other half in Indonesia. Therefore, we need to set meeting times that are able to accommodate in both time zones. Due to COVID-19 restrictions, we weren’t able to meet face-to-face, hence all brainstorming and design were done via Zoom and Google Meets. Furthermore, all of our members are new to hackathons, hence we did not expect the intensity that followed through. This completely brand new experience for all of our members results in some confusion and miscommunication at first, but we managed to conquer them in the end.
What we learned
Communication is key to working together in this competition. Providing teammates updates on changes to the code helps them to understand program details so that we can provide suggestions to polish the work. This has been one of the vital lessons we learned during the last 36 hours of our hacking session. Other than that, we learned a lot about our compatibility with one another. Having a comforted feeling with other team members makes the working environment more lively and exciting!
What’s next for CareSpace
We are planning to implement a live chat with an expert in general health so that users can ask directly any questions that are more specific. Moreover, we’d also like to implement shareability because it boosts user’s mental wellness. People who are in desperate need can also reach out to emergency hotlines. Also, we would update our platform’s design so that it could look more simple and user-friendly while implementing even more features.
Built With
css
html
javascript
jsx
material-ui
npm
react
visual-studio-code
Try it out
github.com | CareSpace | CareSpace introduces a new generation of personal healthcare to get users back on track with healthy habits and raise awareness on their mental and physical well-being during unprecedented pandemics | ['Jason Tjahjono', 'Bryan Matthew Budiputra', 'Russel Sofia', 'Christopher Bryan'] | ['Best Beginner Hackers'] | ['css', 'html', 'javascript', 'jsx', 'material-ui', 'npm', 'react', 'visual-studio-code'] | 7 |
10,201 | https://devpost.com/software/sos-pizza | Danger message on Telegram
Inspiration
Violence is a serious public health problem. It affects people in all stages of life, from infants to the elderly
link
. During this pandemic time, Victims of violence may have increasing the risk for abuse because they live in the same space with an abuser. The idea crossed my mind when I remembered IGTV about People Experiencing Abuse. Then I decided to make Alexa skill to help people experiencing abuse by ordering fake pizza via Alexa and send danger situation message using Telegram.
What it does
If you are experiencing violence, you can make a fake order for tuna pizza via Alexa. After that, Alexa will send danger situation message to emergency contact using Telegram app.
How I built it
I built this Alexa Skill using NodeJS. Then for the server for sending message to Telegram, I use NodeJS and ExpressJS. To connect Alexa Skill and Server, I install axios.
Challenges I ran into
Creating Alexa skills and connect it via API within a day.
Accomplishments that I'm proud of
Successfully sending danger message to Telegram.
What I learned
I learned a lot about Alexa Skill Design Patterns and API setting.
What's next for SOS Pizza!
Adding user address on emergency message, add Alexa Skill for current condition, Sending more messages such as relatives, neighbours.
Built With
alexa
axios
express.js
glitch
javascript
node.js
Try it out
github.com
glitch.com | SOS Pizza! | Experiencing Abuse? Order this fake pizza to send SOS and get immediate help. | ['Bonaventura Sunu'] | ['Most Awesomely Useless Hack'] | ['alexa', 'axios', 'express.js', 'glitch', 'javascript', 'node.js'] | 8 |
10,201 | https://devpost.com/software/nusalingua | Home Course
Start Course
Detail Course
My Course List
FlashCard List of Categories
FlashCard Question
Ar Scan & Its Result
Fun Fact from Scanned Image
Inspiration
Indonesia is an archipelago country that has different cultures and backgrounds. These differences cause Indonesia to have 718 regional languages. Based on research conducted by the Language Development and Development Agency of the Ministry of Education and Culture of Indonesia, 266 regional languages are weak and 75 are dying or endangered. The disorientation of the language learning curriculum in Indonesia has made local language learning begin to be underestimated. Educational orientation that tries to uphold national and international languages has castrated the urgency of regional languages to become marginal languages. In addition, Indonesia lacks local language teachers, and many educational institutions and the general public have difficulty finding local language teachers. Many young people are less interested and do not understand local languages, so that if there is no regeneration, regional languages will become extinct.
What it does
We created Nusa Lingua. Mobile-based applications that can help you learn local languages in a more interactive way that can be learned anytime and anywhere. You can also explore local icons and their history, so you can be more interested in learning the local language. There is course feature that provides a learning path based on the regional language you want to learn. You can choose the available course topics. There is a Smart Scan feature that can scan an image of an area's characteristic icon, after the scan is successful, the information about the area, location, icon, historical facts will appear, as well as the language used in the area. Flashcard feature, contains a small quiz to recall the material that has been learned on the course. This quiz is fun and not required to be done.
How we built it
Nusa Lingua integrated some technology to make the functionalities
Express js
Mongo db
Java
Heroku
Design System : Material.io
This apps that we build -available minimal in Android Version : API 27 Oreo 8.1
Challenges we ran into
Our previous plan was to have a forum and dictionary feature to make it easier for users to learn the local language of the archipelago. However, after going through a long discussion taking into account the time and urgency of the ideas we presented, we decided to change the dictionary and forum features to scan image ar.
The change to an ar image scan is because this feature is quite able to provide a tutorial for learning regional languages from a place. For example, when the user is in Surabaya and doesn't know the local language. Then the user simply scans the typical icon of the city of Surabaya, the statue of Surabaya and Middle Ages and an explanation and interesting facts from Surabaya will appear, besides that the language used will appear, so that users can know and learn the language of the city of Surabaya.
Accomplishments that we're proud of
The achievement of this project was that we gained new knowledge about integrating the backend with Android through the retrofit library. But the most impressive thing is how we get new knowledge in using the google ar core library as an effort to make it easier for users to learn local languages. So that users don't have to worry about learning the regional language when in an area that they don't know at all
What we learned
we learned how to build a backend based android application using the amazing library that is google ar core. Even though this is the first hackathon for us, we are happy and excited to work on this application because we believe our application can help people learn Indonesian culture, especially through their local language.
What's next for NusaLingua
Certain classes will pay off as a business. Each class that is taken and the quiz that is done will get points, which later the points can be redeemed for avatars or other merchandise. There will be a forum feature, which functions as a means of sharing knowledge or finding friends who are learning the same language interests.
Built With
android-studio
express.js
heroku
java
material.io
mongodb
Try it out
github.com | NusaLingua | Android App for Learn Local Indonesia Language | ['Yusuf Gladiensyah', 'Akbar Nugraha', 'Syahshiyah Rohidah', 'Safira Eldi'] | ['Wolfram: The Wolfram Award'] | ['android-studio', 'express.js', 'heroku', 'java', 'material.io', 'mongodb'] | 9 |
10,201 | https://devpost.com/software/dokanda-b7ngsd | Login
Illness Symptom Checker
Can convert to Bahasa Indonesian
Chat/Call ability, waiting for call
Calling a doctor
dokanda
Maintaining our health is a primary goal in many of our lives, yet sometimes, we just don't have the means to do so. Whether it is due to high expenses or low accessibility, such circumstances aren't fair to those who want to preserve their wellbeing.
In times such as these, where COVID-19 interrupts our daily lives with no foreseeable end, it is important now more than ever to preserve our health and wellbeing in any way that we can. Students and adults have already transferred their work over to remote communication, so wouldn't it only make sense to do the same for all aspects of life?
Good thing there is a viable and inexpensive way to now achieve this for our personal health:
dokanda
.
Dokanda is a easy to use mobile responsive web app which allows for doctors and patients to meet one on one in video calls with a
real-time
chat room for diagnoses or questions. Along with this, dokanda features a self-diagnostic page based on symptoms, enabling users to get information
instantly
.
Inspiration
Parts of Indonesia are rampant with poverty and diseases but still deal with a lack of access to medical services. With the ability to improve life with technology, we seek to play our part to support health care workers on the front lines.
Providing easy access to the ever-changing healthcare system is one of our primary goals, as not only is our technology easy to use, but is also tailored specifically for doctors to speed up their diagnostic process.
Even though not all of us are medical professionals, we have access to the internet which hosts a ton of useful information regarding personal health. That said, the biggest issue about this is finding reliable information, which is now not an issue, since dokanda does the
heavy lifting
for you!
Common Health/Healthcare Problems in Indonesia
Overcrowding
Many of the hospitals across Indonesia are centralized in populous areas such as Jakarta. With the lower amounts of hospitals compared to other countries, getting healthcare is one of the toughest jobs in the regions. Even during modern times with COVID 19 around, many of the hospitals are having trouble maintaining large amounts of people. With overcrowding in many of these hospitals, hospitals have become much more unsanitary in Indonesia which is an important health concern.
That's where dokanda comes in. Dokanda is there for you wherever you are and whenever you want. We try to stop your health doubts and issues before relying on a hospital. With dokanda, we can prevent you from having to go to such crowded and maybe unsanitary places with potential health risks.
Accessibility
Hospitals in Indonesia are very limited on resources. As a result, they are mainly located in the most populous areas such as Jakarta. Remote regions of Indonesia find it difficult to find public health care. Even with remote health care, aid can get quite expensive. The Indonesian government has been funding Indonesia is very vast and we find it necessary that the entire country gets access to the best and most convenient healthcare possible.
Therefore, dokanda is here to be accessible entirely online. If there's ever a prescription sent by a doctor, doctors can send prescription details remotely from a remote location to your convenient/preferred location all with the click of a button.
Literacy
One of the major problems seen across Indonesia is the low literacy rates. Compared to Malaysia, Singapre, Thailand, and other neighboring southeast Asian countries, Indonesia is known to have the lowest. This makes communication especially harder for foreigners within the country. Additionally, one of the largest skills that many healthcare companies and private hospitals advertise to their clients is English compatibility. This, however, puts more strain on the Indonesian job force while somewhat helping patients.
Dokanda revolutionizes the med tech industry because it takes language barrier into account. It automatically converts English into Indonesia if asked.
How we built it
Express.js & Node.JS
- We utilized express as our server server side framework in order to make API calls and manage requests to our API. Node.js was used to construct our API and execute queries to our database.
Socket.IO & WebRTC
- In order to enable real-time communication for both the video and chat rooms, we used a socket architecture to handle the relation between doctors and patients in a chatroom. We also used peer.js to connect each individual to a local server.
React.JS
- We used react.js to create our frontend and structure our content in a dynamic way. We found this to be incredibly efficient when having multiple moving parts such as text in a chatroom or videos that need to be added or removed from a room.
Python
- To retrieve diseases and their respective symptoms, we utilized webscraping in python using the beautiful soup library. This automation saved us a ton of time as manually retrieving the information would've been too tedious and time-consuming.
PostgreSQL
- This was our first time using PostgreSQL, but we found it to be the perfect database structure for our needs, as we needed a solid and defined structure but more a larger list of data types compared to vanilla SQL. Heroku provides PostgreSQL as a cloud service, and we communicated with it using pyscopg2 in python and pg in node.js.
Challenges we ran into
Socket.IO and Peer Communication
Using a socket-based architecture with peer connections proved to be difficult to manage, especially on the video side. This was our first time using the technology, which meant we had to learn on the go. We ran into issues with sending broadcasts from the server back to the client, and with managing react states from inteferering with the live video chat.
Captcha While Webscraping
Due to the fact that we had to web scrape hundreds of diseases and their symptoms, google's captcha system stopped us from executing all the searches in one go. Instead, we had to bypass this issue by adding time intervals to our code using a sleep function, to avoid sending a high amount of traffic in a short time span. This was time-consuming since intervals had to be a few seconds each, which added up in the long run. This also meant that we had to store our data simultaneously as we web scraped to avoid losing information in case the captcha blocked us.
Site Wide Translation
Our web app provides the ability to change language at any time, which means all our content has to be dynamically added based on the current selected language. This includes all frontend text, meaning that it has to be passed through a translation function. Even though this directly isn't an issue, it creates lots of dependencies between files, which can be difficult to work with.
Accomplishments that we're proud of
1. Live Video and Chat Room
Using sockets was quite difficult but we managed to figure out the communication and got a fully functioning live video stream of both the doctor and patient on the screen with little to no latency. Sending users and doctors to a single room is completely automated and requires the users to do minimal work on their end.
2. Reliable Information and Data
The information we deliver to users on the self-diagnostic tool is clean and concise, which makes it easy to use. The data was web scraped from reliable sources, making the data credible and easy to understand. The data we scrape is also stored in a database, which means it is a one-time thing, allowing our web app to be free of major dependencies.
3. Clean User Interface
Even though we had to integrate many technologies, we ended up with a clean and simplistic UI which makes the web app easy to use. Medical information is already confusing enough, so no need to be confused on how to navigate or use the web app.
What we learned
Peer Communication
This was the first time that any of us used socket-based communication so it was a nice learning experience. We learned the optimal ways to communicate from the client to the server and vice versa, along with linking users together for socket communication using rooms.
Dynamic Rendering
Having the web app be dynamically rendered allowed for us to easily change between languages based on user selection. It also forced us to have clean and organized code since files were heavily dependent on one another for receiving information. It also taught us to be careful with states since it initially caused conflicts with our socket communication.
What's next for dokanda
Medical Records with Encryption
We want the patients and doctors to have easy access to any records. If there is ever a necessity, the files are safely stored online with 256 bit encryption on the MEGA cloud service. Doctors can only access the files with the patient's permission.
Medical Authorization Requests From Doctor to Patient
Safety and comfort are our number one priorities. We want the patient to feel they are in control of the application. If they feel uncomfortable, they may leave the call, cancel their video, reschedule their appointment, and much more. Furthermore the doctor is required to send authorization requests to get access to more sensitive features such as body examinations, special documents, and other information.
Medical Form Fill out Service
To speed up the process and consult with more patients, a form fill option will be added. Patients can electronically fill out forms before hand, so they can be ready, decreasing the time it takes for an appointment. This can also be used for patients to give the doctor an idea of the issue beforehand so the doctor can come prepared with the right advice/ treatments.
Appointment/Call History and Thread
Every time an appointment is made a new thread is made. In this thread you have chat history and call history as well as documents that you can always visit or continue if an issue or condition persists.
Electronic Prescriptions
Doctors can prescribe medicine for the patients through the app and submit it to their default pharmacy. This should ease the flow for patients who are unsure of the medical process.
LOGIN INFO
patient
username:
a@amail.com
password: a
doctor
username:
doctor@doctor.com
password: doc
Built With
beautiful-soup
css
express.js
heroku
javascript
node.js
pandas
peerjs
postgresql
python
react
socket.io
webrtc
Try it out
dokanda.herokuapp.com
github.com | dokanda | The perfect doctor just for you... | ['V. M.', 'Sai Juttu', 'Abinavraj Ganesh Sudhakar', 'Savvy Chezhian'] | ['Wolfram: The Wolfram Award'] | ['beautiful-soup', 'css', 'express.js', 'heroku', 'javascript', 'node.js', 'pandas', 'peerjs', 'postgresql', 'python', 'react', 'socket.io', 'webrtc'] | 10 |
10,201 | https://devpost.com/software/pasarkerja-quhond | Home page
Workers Service Detail
Workers Service Payment
Inspiration
As a dominating workforce in Indonesia, with over 74 million people employed in the informal sector. And with the presence of COVID-19 pandemic which greatly disrupted Small Business Activity led to a big halt in the sector. And with the unemployment rate increasing to 6.88 Million people since the beginning of the pandemic it is important to identify and resolve this issue and quickly adapt to an ever-changing, unpredictable environment.
However, there haven't been any systems solving the informal sector recruitment process including the proper information with a guaranteed and safe transaction between workers delivering the service and the customer accepting the service.
What it does
As a result, we made PasarKerja, a web-based app displaying valid information in an e-commerce format. PasarKerja exhibits the worker's services in an array of categories, as a bridge between workers and Small Businesses we validate and provide the necessary information also monitoring the workers through the worker's service process.
From the Small Business Perspective the user will be provided with the worker's available services, PasarKerja also assisted small businesses to find the necessary supporting service by categorizing the price, industries, and availability of the services, and also the worker's service profile will consist of key information such as what service is provided, service ratings, identities and credentials and other necessary documents supporting the service quality validation.
PasarKerja also manages the service payment system by using a third-party payment gateway. After the service is delivered the Small Business can generate feedback that will be displayed in the worker's service.
From the worker's perspective, the user can display the service offered by workers for the employer (Small Business) to see & offer.
How we built it
Designing the application's flow
Designing the database prototype
After a few discussions, we agreed to use Laravel for the back-end system, and react.js for the front-end system and also using MongoDB a MySQL as the database systems.
Challenges we ran into
Our initial idea was to make a gig-based job board that would really help both small businesses and informal sector workers meet. But as we went through we encountered several problems we decided to shift the concept into the e-commerce system of integrating services.
It took us some time considering how we monitor the worker's service performance and return policy, also we haven't created a system for identifying eligible credentials for the workers, after a few discussions we didn't develop a holistic solution towards the issue. And also as most of us are students, we are having difficulty making the functional user experience for both parties as this is a very complex and sensitive system to comprehend.
Accomplishments that we're proud of
After some discussions, we managed to define core features and values, and thankfully we managed to figure out a user-friendly interface and deepen our knowledge towards javascript and utilizing MongoDB with a custom Laravel back end systems. however, we are most proud of the opportunity to help small business and informal work sectors connect.
What we learned
We learned a lot about teamwork and collaboration by realizing an idea into a product. it was a great experience to collaborate, talk to new people with different perspectives about this idea & Project.
What's next for PasarKerja
As this concept is still not validated to the real existing conditions. We really hope we can reinforce our validation systems and policies and start our pilot project, canvassing to both small business owners and Informal Workers, educating the functionality of PasarKerja. in the end we are aiming to be the Service Marketplace app to integrate the informal work sector using Google App Engine. and also for our next app development, we would use the microservice concept to minimize system downtime.
Thank You so much for this great opportunity!
Built With
laravel
mongodb
mysql
react.js
restapi
scss
Try it out
github.com
github.com | PasarKerja | A Marketplace integrating Indonesia's informal worker services for Micro Small Medium Enterprises | ['Fauzan Farrel Mohammad', 'Edwin Farrel Juniawan', 'Sultansyah Ilham', 'M Daffa Arafi'] | ['Wolfram: The Wolfram Award'] | ['laravel', 'mongodb', 'mysql', 'react.js', 'restapi', 'scss'] | 11 |
10,201 | https://devpost.com/software/scribr-7t9gpu | Scribr Logo
Settings Page
Notelist Page
Note Editing Page
Note View Page
Inspiration
Simply put, students find the sudden transition to online lectures draining and lack motivation as it can be difficult to pay attention to online lectures. Not only are students not used to this new method of information delivery but the process can also be very repetitive and tiring as students adjust to their new digital learning environment. To lessen the load on students, our team developed Scribr with the goal of providing teachers an easier way to help their students with online education by reducing stress and making online education more accessible for students with various learning styles.
What it does
Scribr is a chrome extension intended for teachers who will be providing classes online that records their lecture, transcribes it into text, and summarizes it automatically. Scribr eases the transition to online education for both teachers and students as it is a tool that makes creating and sharing lesson notes more effective. With Scribr, you can get the fully punctuated transcript of a spoken lecture, the essential points of the lecture in the form of a summary, and the ability to easily share the notes with students.
How Scribr fits the Education Track
Scribr is a study aid that helps students adjust to a new form of learning and makes education more accessible. It can help international students in various time zones that cannot attend a lecture late at night by providing them a full transcript of the lecture. It saves student's time and allows them to focus on learning as they have a secondary source to review. It helps students who are visual learners by allowing them to re-enforce knowledge by reading lectures. It also helps auditory learners as they can focus on listening to the lecture without worrying about missed details. Scribr can help a student make more detailed, all encompassing, and effective notes.
Challenges Faced
One of the biggest challenges we faced was implementing the Web Speech API. We were originally planning to make an Electron Desktop App however it took us a long time to realize that Google had disabled the Web Speech API for shell clients and as such we would need to use the Google Cloud Platform's Speech to Text API. While we could have used Google's API, it would make integrating Scribr into digital classrooms much more difficult and expensive. As such, we switched our project over to a Chrome Extension.
Another issue we faced is that, as a direct result of using the Web Speech API, our transcribed text did not have any punctuation marks. While this doesn't seem like a huge issue, we thought it was crucial that the text looked as natural as possible so we utilized the Smart Punctuation API from DeepAffects to add in punctuation using their Natural Language Processor.
Accomplishments that we are proud of
By injecting a background listener script that ran on specific websites such as Microsoft Teams and Google Hangouts, we were able to expose the native Web Speech API and connect it with our chrome extension
We are proud that we were able to make all the APIs and database storage functions work in unison and asynchronously
Since we used the chrome.storage API, all data is synced across browsers with the Chrome Signin feature
We are also proud that we were able to create such a polished project within such a small time frame. Also, we are happy that we developed a product that solves a real problem, is usable, and can help teachers and students amidst difficult and uncertain times.
What we learned
We learned how to make a chrome extension that could load sophisticated javascript libraries like react and used some new APIs.
Adding Scribr to Chrome
Download the zip file from our website (LINK) or github (LINK) and extract it.
In chrome, go to “chrome://extensions/” and enable developer mode.
Click “load unpacked” and choose the extracted folder.
You have successfully added Scribr and can now use it!
See the github link attached for more instructions.
What's next for Scribr
There are many exciting features we hope to add to Scribr such as a deadlines section which shows all the deadlines and due dates mentioned in a lecture and allows you to add it to google calendar. We also plan to get it on the chrome web store so teachers can easily add it to their browser.
Built With
css3
deepaffectsapi
html5
javascript
pipedream
react
semantic-ui
webspeechapi
Try it out
github.com
souradeepsaha.github.io | Scribr | Scribr creates a transcription of online meetings and classes, giving the user the text form of the audio meeting, then summarizes it. “Focus on what matters” | ['Andre B', 'Goziem Abuah', 'Samir Haque', 'Souradeep Saha'] | ['Wolfram: The Wolfram Award', 'Runner-up Best Pre-University Hack'] | ['css3', 'deepaffectsapi', 'html5', 'javascript', 'pipedream', 'react', 'semantic-ui', 'webspeechapi'] | 12 |
10,201 | https://devpost.com/software/senja-ybnsha | Senja Logo
Login
Register
Register with email
Home page (top)
Home page (bottom)
Search result
Shop detail (Review)
Shop detail
Shop detail (Menu)
Shope detail (Gallery)
Menu detail (review)
Menu detail
Check-In
Inspiration
Coffee shops are a great place to grab your morning brew, catch up with pals, and get some work done. There are many reasons to love coffee shops, let’s say, for having a great taste from your favorite coffee shops, looking for good vibes, and being connected with friends, for example.
The coffee shop and coffee beverage business in Indonesia is booming in recent years, becoming an emerging business that appears like fungus in the rainy season. This can be seen from the significant increase in the number of coffee shops in the past three years as well as in the domestic coffee consumption.
Indonesia’s domestic coffee consumption also continues to rise. Indonesia’s Coffee Consumption Annual Data 2019 released by the Global Agricultural Information Network shows projections of domestic consumption (Coffee Domestic Consumption) in 2019/2020 reaching 294,000 tonnes or around 13,9 percent compared to consumption in 2018/2019, which reached 258,000 tonnes.
But the problem is, there are still many coffee shops that have a comfy place and taste quality coffee but do not have a lot of customers. So we introduce Senja. Senja is a coffee shop marketplace where people can find many coffee shops or cafes nearby on our phones. Senja help coffee shop owners to promote their store through the app, providing a wider customer reach.
This project was inspired by our friend, Kuncoro Prayogo
What it does
Senja is a coffee shop marketplace where people can find many coffee shops or cafes nearby on our phones. Senja help coffee shop owners to promote their store through the app, providing a wider customer reach.
Senja will also recommend nearby coffee shops to its users. Users can see the menu sold at the coffee shop as well as the reviews. Additionally, they can also see how many customers are in the coffee shop, so that they know whether the coffee shop is crowded or not.
How we built it
We built using React for building the apps and Firebase for database and authentication.
Challenges we ran into
Determining which features are fit for the minimum viable product
Constantly implementing new small ideas/features while completing the application
Many applications might have similar functions as Senja, to find a store location. However, the difference is that Senja focused on uniting and creating an ecosystem for Coffee Shops
Accomplishments that we’re proud of
We killed our sprint, we made it this far.
What we learned
We learn about project coordination, maintain the pace for a coding marathon, and we learn how to achieve front end-back end synergy.
What’s next for our project
We will add more features to facilitate the coffee shop in promoting their business. For example, we will add more features like:
Membership. The users can buy a membership in our app to get free 1 cup a coffee every day in all the coffee shops that cooperated with Senja. In return, Senja will promote their coffee shop in our app. For example, the coffee shop would be number 1 in the search results.
Find the Coffe Shop event. The users can get Senja points from scan barcodes in each coffee shop. More points, more rewards that users can earn. This event will help the coffee shops to reach more customers.
Built With
bootstrap
css
firebase
html
javascript
react
Try it out
github.com | Senja | The CoffeeShop Hub | ['Steven Ferdianto', 'Ricky Martin Goutama', 'Naufal Prakoso', 'Chrisando Ryan'] | ['Wolfram: The Wolfram Award'] | ['bootstrap', 'css', 'firebase', 'html', 'javascript', 'react'] | 13 |
10,201 | https://devpost.com/software/re-space | Our Beautiful Landing Screen
Actually forcing ourselves to write unit tests
Oversimplified Architecture
Story Behind Re:Space
Inspiration
One of the biggest disruptions the global Covid-19 pandemic has caused is towards offline retail. Many businesses have started closing shops due to piling rent thus opening up potential spaces for newer businesses to fill them once the situation gets better. We believe that times of crisis like this is the optimal time for disruptive marketplace solutions to come in and change how people find and promote spaces for rent in Indonesia.
Commercial space marketplaces is important because often, business owners have limited access to information (One of our teamates has first hand experience when trying to expand his family business). We see that in the current landscape, the reason these marketplaces aren't working is because the platforms are not well maintained and not built to scale.
With that said, we believe with the right code and user-focused design, we can provide significant value to SME's looking to start up or expand to new areas. Sure marketplace solutions aren't as sexy in 2020 as super smart AI bots or virtual reality games, but if it does solve a problem why not give it a shot?
What it does
Main Features
Search for top available commercial spaces (Limited to malls in current MVP)
Interactive maps to get a birds eye view of the mall / shopping centre
Detail information regarding Mall and space
Save spaces to
Watchlist
so you can view them easily (and scout for price drops!)
Dashboard to trackand manage spaces you've rent
How we built it
Frontend Stack
NextJS
Typescript
Styled Components
Backend stack
Express + Typescript
Jest + Supertest
PostgreSQL + TypeORM
Deployment
Docker
Architecture
How To Install & Run
Re:space-service
Running apps locally (development mode)
Start DB service in docker with
docker-compose -f docker-compose.test.yml up -d
Run DB migration with
npm run migration:run
Start application with
npm run start:dev
Apps will be running on
http://localhost:3000
Running test on local machine
Start DB service in docker with
docker-compose -f docker-compose.test.yml up -d
Run DB migration with
npm run migration:run
Run test with
npm run test
Running test inside docker with dockest
Run
npm run test:dockest
Re:space-UI
Running apps locally (development mode)
set environment variable
$ export API_URL=http://149.129.63.34
run in dev mode
npm run dev
Build app
set environment variable
$ export API_URL=http://149.129.63.34
build app
npm run build
start app
npm run start
Challenges we faced along the way
Coordinating effectively while remote (We manage to do it though 24 hour Google Meet Session)
Designing the right backend architecture (We want to make sure our app is modular, testible, and scalable)
Making interactive maps from scratch (Turns out you can do it with SVG tricks!)
Making sure the backend and frontend team are in sync and aware of what each other is doing or needs
What we're most proud of
70% TEST COVERAGE
WE DID NOT HARDCODE IN A HACKATHON
Tried our very best to always stick with the best practices
What we learned
Sometimes it is better not to reinvent the wheel
When time is limited you need to learn to sacrifice features
You CAN code for 36 hours as long as you have your friends with you
Using Swagger.io and OpenAPI saves a lot of time and communication cost
What's next for Re:space
Chat feature
Commercial space owner dashboard
Payment System
Built With
docker
dockest
express.js
figma
jest
nextjs
openapi
postgresql
styled-components
typeorm
typescript
Try it out
github.com
github.com | Re:space | Finding the best location to grow your business has never been easier! Re:space offers a beautiful app that lets you find commercial spaces for rent and manage them in one platform | ['Gardahadi Gardiadi', 'I Putu Gede Wirasuta', '13517081 M. Rifky I. Bariansyah', 'Pandyaka Aptanagi'] | ['Wolfram: The Wolfram Award', 'Runner-up Best Small Business Hack'] | ['docker', 'dockest', 'express.js', 'figma', 'jest', 'nextjs', 'openapi', 'postgresql', 'styled-components', 'typeorm', 'typescript'] | 14 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.