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 |
|---|---|---|---|---|---|---|---|---|
10,123 | https://devpost.com/software/covid-19-rakshak | NEXTGEN HEALTH CARE DEVICE 2
UVC CHAMBE#R
NEXTGEN HEALTH CARE DEVICE
BEDS FOR COVID 19
BEDS FOR COVID 19 2
HANDSFREE BASIN
Inspiration
During this Global Crisis of COVID -19, Our Doctors, Nurses, Police, etc working on the frontline against this. So, why are we falling back? After all, we are engineers with an innovative mind. Now, we are here with the combined Hardware and Software solution, after analyzing some problems. And, try to make the next generation Healthcare Device for Protecting Vulnerable Population during and after this pandemic situation.
Nowadays, COVID-19 patients are facing issues in finding beds in hospitals. They have to go to different hospitals and check if the bed is available or not. And even if the beds are available then they have to make sure that it is affordable.
During the COVID-19, we are facing a lot of disasters like cyclones in Orissa, West Bengal, Maharashtra, etc. and floods too. Also, many people have lost their lives and many people are missing. Lots of parents have lost their children during these disasters.
What it does
There is a Hardware setup that consists of a self shoe sole sanitation device, health band, and hand-free basin. So, the pedestal comes near to our setup and stands over it through that way the shoe sole is sanitized by UV light (this way restricts the transmission of coronavirus through shoe sole). Then, there is a health for which users connected our app with the setup through bluetooth, which measures Heart Rate, Blood Oxygen Saturation Level and Body Temperature, and get the whole data over the app. In last, there is the contact-free basin to wash their hands in public spaces ( everyone washes their hands without touching the tap, which means restricted the transmission of the Coronavirus through the surface and reduces wastage of water).
We have made an app, to find the number of beds available in the hospitals in the city they live in. The app will show the number of available beds in different hospitals and will tell the price too.
KHOJ will help to find a missing person. The guardian of the missing person will upload the details of that person, so the image will be added to the KHOJ database.
If any person finds a person who was missing, he can also upload the picture of that person through KHOJ.
KHOJ will try to find that person in the database, and if found it will notify the nearest police station from where the person is found and the guardian of the missing person.
How we built it
In the Hardware setup of this project, shoe sole sanitization device by using UV-C type and its choke, contact-free basin by mechanical parts like the pedal, spring, metal wire, cistern, etc and health band is done by Arduino Uno, Max30102 (for Heart Rate and Blood Saturation), Ds18b20 (for body temperature ) & Bluetooth HC-05.
We build our app on Flutter which is a hybrid platform using dart language. Because Flutter apps can run on ios and android phones. Then, we used an API provided by disease.sh for details related to COVID-19 like total cases, active, deaths, etc.and did some other stuff also with our skills.
Challenges we ran into
Due to lockdown, we don’t have NodeMCU (IoT device) to store data over the cloud. So, we try to figure out this with Arduino Uno and Bluetooth. First, we send data over the mobile app than over firebase to store.
Accomplishments that we’re proud of
Working, health band with real-time data functioning backend servers for data management easy to use app which can present real-time data to the user over the app.
What we learned
Learned a lot about that without having an IoT device, how to store data over a server and also, about the new sensors.
Moreover, it built a more functioning mobile app.
What’s next for the team
In terms of enhancing the project, we can identify the user’s state of mind using EEG or GSR reading & Machine Learning. Also, determine blood pressure through self-test kiosk.
In terms of marketing the product, we would like to initially target public spaces in our region.
Built With
android-studio
arduino
bluetooth
bootstrap
django
Try it out
drive.google.com
docs.google.com | COVID-19 Rakshak | COVID RAKSHAK (#atmanirbhar) - Beds for COVID-19; NEXTGEN Healthcare Device; UVC Chamber; Hands free basin; Find, missing people during disasters; | ['Anubhav Sinha', 'Keshav Bathla', 'Kaushal Bhansali'] | ['Best Hardware Hack'] | ['android-studio', 'arduino', 'bluetooth', 'bootstrap', 'django'] | 78 |
10,123 | https://devpost.com/software/facemask-afrq3e | Inspiration
Covid-19 pandemic has made facemasks a norm rather than an exception.
Many types of facemasks are currently available in the market.
Most of them are unnecessarily complicated, costly to buy, extremely suffocating, and uncomfortable to wear.
What it does
We offer here a design of a facemask that is Simple, Affordable, Ventilating, and Enjoyable.
How I built it
Using knowledge about materials and environment, we created a simple design for a good facemask.
Challenges I ran into
We did not run into any major challenges.
Accomplishments that I'm proud of
This design can work and can save lives.
What I learned
A good design can be simple.
What's next for FaceMask
We will make the design robust and popularize it so that others can benefit from it.
Built With
environment
materials
Try it out
github.com | Save FaceMask | Simple, Affordable, Ventilating, and Enjoyable FaceMask | ['Laxmi Patel', 'Lalit Patel'] | [] | ['environment', 'materials'] | 79 |
10,123 | https://devpost.com/software/home-health-care-patients-tracking-application | Home Health Care Mobile
Home Health Care Sample Decision Support System
COVID-19 Risk Prediction Tool
Salesforce
The follow-up of Home Health Care and elderly patients is not made digitally and home health data is not processed data. This makes it difficult for the elderly patient to follow the situation. Healthcare professionals are obliged to learn the examinations, drugs and patient status previously applied to the patient during the patient visits. With the current COVID-19 outbreak, patient visits have decreased considerably. Since the patients in this group are in the highest risk groups of COVID-19, hygiene requirements during the visits complicate the maintenance procedures. In addition to this situation; Symptom monitoring of home care patients, people in the geriatric class (65 years and older) and potential / recovering COVID-19 patients should be done remotely.
First of all, the information necessary for the follow-up of home health care patients was prepared for information entry in the Android environment. Improvement was made in the Salesforce environment to retain the data. A website was prepared in RStudio environment by developing an AI based model for monitoring the health status of home health care patients. For the COVID-19 symptom follow-up, the data of 22,000+ COVID-19 patients were processed all over the world, and an website was prepared in RStudio environment.
The biggest challenge we face is to find anonymous data that we will use for decision support systems and to clean and make the data available.
In the later stages of the project, video speech, voice recognition and sensor and smart watch (Apple Watch) integration will be supported.
Built With
android
api
css
flutter
html
java
r
rstudio
salesforce
Try it out
dveshealth.com
twitter.com
www.linkedin.com
www.instagram.com
dveshealthai.shinyapps.io
dveshealthai.shinyapps.io
drive.google.com | HOME HEALTH CARE PATIENTS TRACKING APPLICATION | DVESHealth provides AI based home health & elderly care decision support and monitoring mobile / web / cloud solutions. | ['Berna Kurt', 'Mustafa Aşçı', 'Asım Leblebici'] | [] | ['android', 'api', 'css', 'flutter', 'html', 'java', 'r', 'rstudio', 'salesforce'] | 80 |
10,123 | https://devpost.com/software/e-health-service | E-Health
Inspiration
In this pandemic situation many of my friends are in rural area where network & internet service is too low .However in this current situation of lockdown they can't go outside .That's why a major of them use free messenger.My service is too short & give them quick & correct information in a while in free messenger.
What it does
This give them correct ,quick & simple solution to safe from covid 19 & other diseases.
How I built it
i built it by using chatfuel & just little more using others.
Challenges I ran into
Not so much but in this i try my best & understand what problem basically face remote areas people in this pandemic situation.
Accomplishments that I'm proud of
That's very much interesting to me because this is my 1st time that I participate a big event like facebook messaging hackathon.
What I learned
I learned how to use chatbot in many cases in social media specially in messenger that's reduce our time & give service to my providers more efficiently.
What's next for E-Health
I will try to update it & make it more informatic & user friendly.
Built With
chatfuel
Try it out
m.me | E-Health Service | This is a messenger based chatbot health service. | ['Md. Mostafizur Rahman'] | [] | ['chatfuel'] | 81 |
10,123 | https://devpost.com/software/covid-19-healtheval | A look at the home page of COVID-19 HealthEval on the computer.
A look at the MH Evaluation Quiz on the computer.
The physical health portion, CoreHealth, home page.
A look at the MH Evaluation Quiz on the iPhone 8.
Inspiration:
For this project, my inspiration came from my surroundings. For both my family, friends, and myself, life had become extremely boring during lockdown. Doing physical exercise was difficult, since gyms were closed and sports teams had been put on hold. Mental health had also begun to deterioriate, after sitting in the house for prolonged periods of time, and due to pessimism about the entire situation of the pandemic. That's why I decided to make COVID-19 HealthEval, which helps to solve both of these problems.
What it does
COVID-19 HealthEval allows you to evaluate your own physical and mental health using a short and simple quiz for each. For the mental health quiz, you get personalized advice about coping with your current detected stress levels. For physical health, there are different quizzes for different body parts that you want to make stronger, or exercise more. Based on the results of the physical health quiz for a specific body part, you get a personalized diet, a sample meal plan, and a workout routine that has been designed for people to be able to easily do at home, without any equipment that you would use at the gym.
How I built it
I built COVID-19 HealthEval with HTML, CSS, VanillaJS, and JQuery. Here's a breakdown of how I did each section of this project:
Home Page: HTML + CSS
Mental Health Home Page: HTML + CSS
Mental Health Evaluation Quiz: HTML + CSS + VanillaJS + JQuery (The quiz was made with the JS and JQuery)
Physical Health Home Page: HTML + CSS
Physical Health Application (CoreHealth): I made an entirely separate website for the physical health section, also called Core Health, due to the many pages. I did not want to crowd it all into one website.
Home: HTML + CSS
cH (Core Health) Quiz: HTML + CSS + VanillaJS + JQuery
Diet: HTML + CSS
Workout: HTML + CSS
About: HTML + CSS
Challenges I ran into
The main challenge for me was the media queries, and adapting the website to be functional on the phone. For the different versions of phones, there are different widths and heights that need to be adjusted to, which required lots of precision.
Making the design look professional + inviting. I felt that this was very important, as the look of the website when a person accesses it makes the initial good/bad impression.
Accomplishments that I'm proud of
Being able to make the media queries work. This was the most time-consuming portion of the project for me.
My attempt to solve a very prominent problem in today's world. The pandemic has created many difficult situations, and I have put in a lot of effort into trying to fix one of them.
What I learned
I learned a lot about the physical and mental health problem during this pandemic. The personalized advice for each score came from research about mental health. The same followed for physical health.
I learned many new components of HTML, CSS, and VanillaJS that I did not know of before, which has allowed me to expand my horizon for web-design.
What's next for COVID-19 HealthEval
For me, the next step is to learn Swift, and put this out on the iOS App Store. This will make it easier to use for people who primarily use their phones over their computers.
After this hackathon is over, I will definitely be working on this project to improve it. I am alone on this team, and I think that I am the right person for this project, because I really have a passion for computer science and a sincere drive to improve the physical and mental health situation for everyone during this pandemic.
Built With
css
html
javascript
jquery
Try it out
vardaansinha.github.io
github.com | COVID-19 HealthEval | With COVID-19 HealthEval, maintaing your physical and mental health will be easier than ever before during these extraordinary times. | ['Vardaan Sinha'] | [] | ['css', 'html', 'javascript', 'jquery'] | 82 |
10,123 | https://devpost.com/software/new-connection | New Connection Chat Bot
Motivational Quotes!
Motivational Quotes!
Approaching user a new way of thinking!
Emotional Status!
Inspiration
Many people feel sad and gradually become depressed. They often find no one to share their feelings, even if they find someone, the listener often makes fun of him rather showing empathy. Thus the depressed person creates a defense mechanism by not sharing his dark thoughts. Many of them take wrong actions and few end their lives as well. We wish to help them and show them a possible way to deal with their failure.
What it does
It helps depressed people to break the cycle of depression and also show them a way to find new opportunities.
How we built it
We applied a neurological concept of how our left and right brain works, our left brain works well with conventional ideas and the right brain with new ideas.
We used
Chatfuel
for creating our bot as a prototype. And we created our
bot's brain decision flow
with
coggle.it
.
Challenges we ran into
We faced challenges to invent a new solution to inspire frustrated people and to execute our plan into a working chatbot.
Accomplishments that we're proud of
We are really proud of applying our innovative concept regarding human psychology into this project. We are also very proud of how we executed our plans starting from mind mapping and applying all conditional statements.
What we learned
How to create a chatbot
,
Human Psychology
,
Team Work
,
How to deal with frustration/depression
,
How to work collaboratively in under pressure
,
How to Solve Real-Life Problem with lots of planning and communication
.
What's next for New Connection
We want to enhance the empathetic capability of this bot and also add new features like NLP, AI, Deep Learning.
Built With
adobe-illustrator
chatfuel
coggle
facebook-chat
facebook-messenger
facebook-page
Try it out
m.me | New Connection | Chatbot for depressed people. | ['Md. Asif Iqbal Fahim', 'Md. Zahid hasan'] | [] | ['adobe-illustrator', 'chatfuel', 'coggle', 'facebook-chat', 'facebook-messenger', 'facebook-page'] | 83 |
10,123 | https://devpost.com/software/reach4help | Unify Help Worldwide
Our Logo
Who We Are
Driven by the principle that solidarity brings out the best in individuals,
Reach4Help
is a global volunteer-run initiative developing technologies to bridge the gap between people in need and people who can help during the COVID-19 pandemic and beyond. Our platform enables users to create mutual help networks in their local communities where people in need can send out a local call for help (need for in-home care items, grocery/medical supplies, etc.) and are paired with trusted volunteers who can help.
We just released v2.2.0 of
our app
to support community volunteers and volunteer organizations in providing for people in need during quarantine. Nearly a month from our launch, we have been streamlining and automating help requests (primarily food and medical supply deliveries) for over a hundred users around the world.
Inspired by the altruism of organizations already supporting their communities, we're working with existing mutual aid networks such as
AIESEC
in Portugal and Bangladesh and the
Outremont COVID-19 Help Foundation
in Quebec to reach more people in need and to mobilize volunteer help more effectively. We believe that helping people through volunteerism on a daily basis is vital in creating a meaningful level of social support.
In parallel, we developed a global map of mutual aid showcasing the extensive network of these community organizations working on the ground, providing essential services to people in need worldwide.
We’re humbled to say that our project has inspired others to support and partner with us on our mission. Companies such as Google, Netlify, Slack, Algolia, Datadog, and more are providing their services for free or giving us credits. We’re also deeply thankful to our partner HermitQA and their dedicated staff ensuring a smooth experience for our users.
Through the development of open-source and accessible tools for volunteers, people in need, and volunteer organizations alike, we aim to build a large-scale network of help to keep us stronger and more interconnected during this pandemic and beyond.
Our goal
is to ensure that anyone, anywhere can
reach for help
.
Our Team
Our team is all over the world, hailing from LA to Morocco and Portugal to Bangladesh. Despite the enormous time differences and being complete strangers before the project, each of us decided to step up and become a part of something bigger: a global movement for unity. We tore down barriers within ourselves and set out to do exactly that for the rest of the world.
We’re humbled to say that our project has inspired others to support and partner with us on our mission. Companies such as Google, Netlify, Slack, Algolia, Datadog, and more are providing their services for free or giving us credits. We’re also deeply thankful to our partner
HermitQA
and their dedicated staff ensuring a smooth experience for our users.
Project Status
We launched
our app
on June 13th as of now have 135 users worldwide. As of July 9th, we released v2.2.0, tackling many of the requested features and issues we got from user feedback. We’re also currently working on expanding partnerships with volunteer organizations through outreach
Current Challenges
Since we are completely volunteer-run, one of our biggest challenges right now is getting funding to sustain those working on the project and to provide for people in need of financial support for funding their food and medical supplies. If you are interested in supporting the project, we'd really appreciate reaching out via
info@reach4help.org
How
You
Can Contribute
We're always open for volunteers to contribute to the project for global change! All skill sets are welcome, but we're currently in high demand for these roles:
Project Manager
Marketing/PR Strategist
UI/UX Designer
ReactJS Developer (Firebase experience also welcome!)
Legal Advisor
Please reach out if you're interested in working on the project to
info@reach4help.org
or in a comment!
Built With
firebase
google-cloud
love
node.js
react
Try it out
reach4help.org
app.reach4help.org
map.reach4help.org
github.com | Reach4Help | Unifying help worldwide by connecting people in need to volunteer networks. | ['Shayan Chowdhury', 'Sam Lanning', 'Alex V', 'Joseph Ashwin Kottapurath'] | ['Highlighted Project'] | ['firebase', 'google-cloud', 'love', 'node.js', 'react'] | 84 |
10,123 | https://devpost.com/software/coronout-r27mhk | Inspiration
To build a Tracker to Help During The pandemic
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Corona Traker
Built With
android-studio
dart
ethereum
figma
firebase
flutter
gcp
github
gradle
matic
node.js
Try it out
drive.google.com
drive.google.com | Corona Traker | Virus OUT, Safety IN | ['Hrithik Sahu'] | [] | ['android-studio', 'dart', 'ethereum', 'figma', 'firebase', 'flutter', 'gcp', 'github', 'gradle', 'matic', 'node.js'] | 85 |
10,123 | https://devpost.com/software/e-learning-platform-for-students | Different AR Demos
AR - Microscope
Our App
online meet on conducted on our sited
Flowchart
Report - After attempting test
Wordpress - Google Cloud
E-learning-platform-for-students
Brief description of steps taken to complete the project
The initial set up :
1. Bought Virtual Machine.
2. Installed Word Press on Virtual Machine.
3. Designed user-friendly Website.
4. Created AR (Augmented Reality) based app for visualisation
Connections :
1. Virtual Machine IP Address linked to domain.
2. Generated SSL Certificate (https) for website
3. Developed the App
The output :
1. Students can visualise 3D models in AR as well as Browser
(e.g. Digestive system, Earth's Core, Microscope)
2. Teachers can mark student attendance and add exam marks on our portal.
3. Study material (Resources) for students to study during pandemic.
4. Parents can see their child's attendance and marks on portal by logging in.
5. Students can attempt proctor (webcam) based exams (ensures no cheating)
6. Teachers can see students online exam report in detail.
(Face detected or not if not - screenshot , recording when noise detected)
7. Students can attend live lectures (classes) on our site itself.
[To download app Click Here]
Technology Stack
For hosting website -
Google Cloud
For integrating Augmented Reality feature -
echoAR and Unity
Improve site performance (CDN) -
Clouflare
Domain service -
.xyz
For designing website -
Wordpress & Elementor
Built With
.xyz
cloudflare
echoar
elementor
google-cloud
unity
wordpress
Try it out
github.com
www.dscjscoe.xyz | E- Learning Platform + Augmented Reality + Login portal | Online portal for Student, Parents, Teachers to see attendance, marks, upcoming events ( Website & App) Portal + Augmented Reality Library (Created by us) for visualisation and better understanding | ['Sanket Patil', 'Chaitanya Abhang', 'Tejas A', 'Mahesh Gavhane'] | [] | ['.xyz', 'cloudflare', 'echoar', 'elementor', 'google-cloud', 'unity', 'wordpress'] | 86 |
10,123 | https://devpost.com/software/qnbai | Quantum A.I
QNBAI ORGANIZATION
(A HYBRID TECHNOLOGICAL SINGULARITY)
Our Inspiration
I am inspired by the Universe itself beyond anything I just love humans. By pursuing this mission we can leap into a better future building the foundation of the Hexagon Era to come. I always believe in this code 3,6,9. I deciphered the code of triangle, hexagon, nonagon shape from the 3,6,9 code too it was Tesla who shared this clue and I want to continue his work of giving free energy to the living.
The Idea
It will lead us to an advance society where we can solve any disease like the COVID-19. The seamless world is not a dream anymore where A.I is in demand to close the gap between human and robot productivity. Cashless is always here but cryptocurrency will be the future of money.
A Goal
Our goal is to use Quantum computing to tackle a global problem like the pandemic of COVID-19. By joining a hackathon we can gather the right mind for this project. This mind will be added to the rank of QNBAI Organization building the Hexagon System.
Leadership
I am an idealist leader I love to build theory using applied science and quantum mechanics. That is my specialty as a crazy and bold scientist. What if we build a hive of human wisdom and knowledge inside a database of human memories in a blockchain away from our physical world. A combined mind of all good leaders from the world to build a Hexagon future ruled by just and fairness.
Overcoming a Barrier
Lack of support from the mass is somehow taking my mind to a wave of pools and drowning but I know that someday we can build this idea as long as we breathe we are still here to think of an idea impossible or not we can make it happen somehow.
Vision
When we build a Human Utopia in the future I want this to be automated that will help us bring forth a better standing method in the cosmos. Uploading our memory into a blockchain where we can reinstall it again into a new mechanical shell is a must while uploading consciousness is one of my ideas and to acquire this we need to dig further in the realm of quanta. To make this work we need QNBAI this will unite all technology theories in one singularity aim. This will build a Unified Technology for the future.
We are One
I need to love my fellow humans in able for me to rise up as a good leader. We should build a tower of human pride again as One People in One World and One Being.
THE QNBAI
Peace in a Hexagon World
This will be revealed in the future when the time comes.
Built With
a.i
blockchain
neural
quantum
Try it out
github.com | QNBAI | QNBAI is a hybrid of all technology our aim is a technological singularity to build a better world that means we can solve COVID-19 through Quantum, Neural, Blockchain, and Artificial Intelligence | ['Paul Adriane Candelario', 'Norman Tabasa'] | [] | ['a.i', 'blockchain', 'neural', 'quantum'] | 87 |
10,123 | https://devpost.com/software/quantumstarter | ABSTRACT
/Inspiration
Let me tell you about myself first, I am Paul a Quantum and Blockchain Enthusiast located in the southeast Asian nation living in a small archipelago called the Philippines. I am the founder of QuantumStarter idea a Quantum Technology Kickstarter platform. My dream is to help leap mankind in an advanced innovation process. Yes with Quantum Technology innovation we can strive for the better of humanity’s next era. I always love science and have a mystic heart but I never forget that our humanity needs heroes now. In the time of pandemic and writing this there is no cure for it and I am hoping that a startup from my idea will be born from it. A hero we all been waiting for is in the hands of humanity itself. We can unlock the mind of the genius unleash the mind of the next Newton with the greatest thinkers who always think beyond imagination we can overcome this pandemic and the next pandemic to come in the next 30–100 years from now.
I started an idea about Quantum Technology so I introducing a new approach tackling a pandemic with quantum pioneering in our country.
It was just an idea for now that is why I am looking for Quantum Enthusiast as Co-Founder.
/Vision of the Future
Basically, a Kickstarter project to deliver and introduce new Quantum based technology products among the consumers and clients of Quantum Technology targeting quantum corporation in the coming year of 2025.
As a futurist, I believe that the year 2025 is the golden age of Quantum Technology. The idea of QuantumStarter is that we should prepare now to build the future of a Q2025.
/To innovation and Beyond
Einstein once said imagination is more powerful than logic. Tesla on the other hand always wants us to be free so he invented free energy technology for everyone. The corrupts cannot hold us forever right we should be free and push innovation rather than stifle it.
/Quantum Computing Battle for COVID-19
I am always pushing this quantized idea so that my country will support our young aspiring scientist invent something that can solve the pandemic and thus it is one of the ideas that pushes me to build the plan.
Reference:
https://www.change.org/qc_covid19
/Quantum Golden Age
I myself want to do something with Quantum Technology too that is to discover the theory of us all within this adventure. I am hoping that we can all work together as one humanity again to achieve our goal in the future of Quantum Startups. I can safely say that by the year 2025 it will be the dawn and era of a new world a Quantum Golden Age.
A Dream to Change the World
Quantum Realities always pique my interest
What is reality and what is an illusion? Why not try to find it out
Are we living in both at the same time?
Can we really recode ourselves with Quantum Technology?
Technically speaking our code is programmable indeed.
/Living in the Quanta
I wish we can all be successful in our own life for the greater good of humanity we can make it to the Quantum World.
/The idea of Quantum
I always wonder what if we humans can live more then the secret of it must have been embedded inside the quantum technology, I would gladly give everything to uncover such secret but who knows right. I am also into what we call the immortality of the soul to a mechanical shell or clone. Consciousness uploading is really fascinating. Life is so precious, to a man who can live only in a few years and recycled again this will be a challenge.
/Power of Quantum Computing
We can find the solution to a pandemic faster than any traditional computer if we can somehow unlock the full potential of Quantum Technology. Protein folding is all we can do for now that leads to drug discovery and vaccine remedy. I think that with Quantum Computing we can speed that up to 100x decibels faster.
QuantumStarter
A Kickstarter for Quantum Technology Startups
I am really amazed when I saw someone DIY a Quantum Computer so I asked myself I really want that cool piece of the machine too. Why not support them by creating an idea to kickstart their great ideas right. I just want to focus on the coming future of mankind that is of course Quantum, Neural, Blockchain, and Artificial Intelligence. Should we go non-profit or not? I say we should trek the balance road.
/Blockchain
To make this more unique I had a plan to put it in the blockchain in the future with its own cryptocurrency as a way of the economic processor inside the platform.
/Roadmap
I am planning to crowdsource the idea as much as possible to speed up the process of its foundation in the future.
That’s it for now as of today I will be continuing this idea and write more about it in the future when the time comes.
Join us!
As for now, I am looking for enthusiasts alike located in the Philippines to join me in this endeavor. Must be a Quantum Enthusiast and had a keen interest in Quantum Technology.
If you are interested you can reach me at
contact@quantumstarter.com
Socialize with us!
Telegram:
https://t.me/quantumstarter
Discord:
https://discord.gg/j4pgJws
Follow us!
https://followus.com/quantumstarter
About us
https://about.me/quantumstarter
Built With
frameworks
quantum
server
web | QuantumStarter | Quantum Technology Kickstarter | ['Paul Adriane Candelario'] | [] | ['frameworks', 'quantum', 'server', 'web'] | 88 |
10,123 | https://devpost.com/software/mealstogether | Home Page
How It Works
Sign up form - Select meeting times, interests and language
Waiting for a match with FoodFriend
See your match, confirm and have your MealTogether
Inspiration
While doing our own version of WFH, scrolling through Twitter, appreciating memes for nailing how we're feeling, and FaceTiming our friends, The Youth Movement Against Alzheimer's (YMAA), 501c3, gathered a working group that included Facebook's Rishabh Aggarwal, to develop a COVID-19 Rapid Response project to help older adults through this isolating time.
For older adults living alone (& let's be real, young people too) mealtime can be a very lonely, sometimes to the point that you lose your appetite. We're all experiencing social isolation. We're all craving human connection beyond the walls of our homes. Food is always better when shared with someone else. Building on an idea developed by board member Robert Egger, this team built MealsTogether with a dream of ensuring that no one has to spend meals alone.
In these isolating times, it's nice to see another face. Seeing friends and family sparks joy. Seeing people - anyone - at this point, sparks joy. Connection sparks joy. Eating sparks joy.
What it does
MealsTogether connects people from different generations based on availability and language to share a meal together via Zoom. The matching algorithm gathers the interests of each partner, or FoodFriend, and pairs those who have the most shared interests, such that a more meaningful connection can be made. This algorithm is strictly intergenerational meaning that if you are an older adult, you will get partnered with someone much younger, and vice versa.
How we built it
MealsTogether was built primarily using react.js and Firebase. We built a form on our homepage that serves to both gather FoodFriend information and create the account. The matching algorithm runs on Firebase. Once FoodFriends are matched, they will receive emails (sent via SendGrid) and texts (sent via Twilio) to guide them up till the point of the actual meal time and remind them of when the meal will happen.
In order to build this project, we first focused on database design and realized that a NoSQL database structure would give us the flexibility to use the database both to store information and to run "jobs" which trigger at various points of the confirmation process. The database records information, not only to help with matching, but also to gather data that is useful for the nonprofit and future health partners to most appropriately expand the project. We also used Firebase to encrypt passwords and ensure data security.
In order to appropriately design the front-end, we used Figma to create wireframe designs. These designs were shared across the team and leveraged input from every team member to create the most simple user experience. We specifically added extra "how-to" videos to cater to older adults who may not be as tech-savvy.
We decided to use Zoom for video conferencing because of its ease of use and its ability to allow people "call-in" rather than use webcam, should they not have access to that technology. We anticipate that a significant proportion of older adults will simply "call-in" rather than use a webcam.
Challenges we ran into
The greatest challenge we ran into was integration with Zoom's API. After working with the API for many hours, we realized that there were certain parts of the API that were deprecated, making it impossible for us to appropriately get certain access tokens. In order to solve this problem, we used Zapier to create a meeting and stored the meeting URL onto Firebase. The ultimate user experience was not affected.
Another challenge was sending timed reminders to each FoodFriend. While we had the option of creating and triggering a dynamic scheduler, we decided that this would put too frequent of a call-time on Firebase and hence increase the cost for the nonprofit to maintain the database. Instead, we also found a way to trigger these reminders by creating a collection in our database specifically for sending out these emails and texts and triggering zapier (and hence sendGrid/Twilio) each time a "job" was created in this collection. The ultimate user experience was not affected.
Accomplishments that we're proud of
We are proud of our cohesive team effort. Between the conception of idea and hackathon submission was only 8 days. In that time, we created a ready-to-launch product that required back-end development, wireframing, product testing, copywriting, graphics generation, multiple API integrations, and a content creation strategy. In fact, we even did a focus group with an assisted living facility to gauge interest in using such a service, and we only moved forward after getting positive feedback.
What we learned
Crazy times call for crazy progress. Our team was relentless in the execution of this effort after having realized the potential it has to help people of all ages, especially older adults.
In specific to the development, we recognized the potential that the no-sql database structure to be flexible as we made edits to our fields through the course of development. We also learned that when working with an API, its important to check their updates and status to ensure it's not deprecated before spending hours trying to integrate it. In the future, Zoom's API will be powerful for our effort.
What's next for MealsTogether
There are still several development features that we are planning to add to the project in the next 1-2 weeks.
Calendar integration with Google Calendar and iCal.
Replies directly to FoodFriends after a meal.
Ability to share contact information via our platform with dual approval.
Whatsapp notification integration
Time Zone alignment
In specific to product launch, our team will be doing a round of friends and family testing this week, leading up to a soft-launch. We have a large network of assisted living facilities, nursing homes, colleges, and high school in order to launch this effort nationally within days. We will then be leveraging press to help get this wide-used.
Built With
firebase
javascript
react
scss
sendgrid
twilio
zapier
Try it out
e-meal-161a9.firebaseapp.com | MealsTogether | MealsTogether is combatting the isolating feelings brought on by social distancing.
We pair FoodFriends from different generations to share a virtual meal and cook up
hearty conversations! | ['Norma Bostarr', 'Nihal Satyadev', 'Eva Frye', 'Hritik Aggarwal', 'Rishabh Aggarwal', 'Natashia Townsend', 'Kathy Rose', 'Lourdes Bustamante'] | [] | ['firebase', 'javascript', 'react', 'scss', 'sendgrid', 'twilio', 'zapier'] | 89 |
10,123 | https://devpost.com/software/e-doctor-bjxdnv | E-Doctor
Inspiration
In this pandemic situation many of my friends are in rural area where network & internet service is too low .However in this current situation of lockdown they can't go outside .That's why a major of them use free messenger.My service is too short & give them quick & correct information in a while in free messenger.
What it does
This give them correct ,quick & simple solution to safe from covid 19 & other diseases.
How I built it
i built it by using chatfuel & just little more using others.
Challenges I ran into
Not so much but in this i try my best & understand what problem basically face remote areas people in this pandemic situation.
Accomplishments that I'm proud of
That's very much interesting to me because this is my 1st time that I participate a big event like facebook hackathon.
What I learned
I learned how to use chatbot in many cases in social media specially in messenger that's reduce our time & give service to my providers more efficiently.
What's next for E-Doctor
I try to update it & make it more informatic & user friendly.
Built With
automate
chatfuel
setupai
Try it out
m.me | E-Doctor | This is a messenger based chatbot social service. | ['Md. Mostafizur Rahman'] | [] | ['automate', 'chatfuel', 'setupai'] | 90 |
10,123 | https://devpost.com/software/kick-out-addiction-ilx81s | Help for recovering addicts' families.
The Addiction family support App connects families in similar situation. Studies show this kind of family support reflects back on the recovering addict. It also contributes tremendously to relapse prevention by making addict feel a sense of belonging and acceptance. It also facilitates breakage of destructive cycles, promotes creation of new sober friendships and increase the willingness to stay in therapy.
Families will find self-help programs and can consult a supportive mental health workers. The anonymous interaction enhances the level of trust for participating on the platform. This type of support is very important especially during this Covid 19 period.
Our Vision – To expand the platform to include families of people with other mental disorders.
Built With
api | Kick-Out-Addiction-Not-Addict. | Family Support platform designed for families struggling with the effect of loved one addiction during this Covid 19 period. | [] | [] | ['api'] | 91 |
10,123 | https://devpost.com/software/coaching-and-emotional-support-platform | Inspiration
Millions across the globe lack access to Mental Health Support. This is very unfortunate as good mental health relates to psychological and emotional well-being. Our goal is to make it possible for individuals from any part of the world, who are facing difficulties accessing mental health, either due to financial costs, stigma, lack of professionals or social distancing to be able to get the necessary support.
What's next
We would like to continue building our platform to increase confidentiality in online therapy and ultimately realize our vision of making mental health accessible and affordable for everyone.
Built With
amazon-rds-relational-database-service
bootstrap
html
java
mysql
uikit | Coaching and Emotional Support Platform | A platform for remote Mental Health Support. | [] | ['Global SOS Finalist - Everything Remote Track'] | ['amazon-rds-relational-database-service', 'bootstrap', 'html', 'java', 'mysql', 'uikit'] | 92 |
10,123 | https://devpost.com/software/virtual-student-counselor-4podjm | CAYA face
Inspiration
Our life, and the present times were my inspiration. After the COVID 19 outbreak, millions of kids, forced into seclusion with school closures, were faced with loneliness, boredom, and stress. Those with both parents working suddenly had almost no one to talk to. That’s why I built CAYA, the Computed Automated Youth Advisor.
What it does
CAYA uses Machine Learning to act as an online counselor and friend to the millions of kids who have no one to talk to. It learns while the program is running by using a data set composed of conversational text inspired by child psychology papers. Though CAYA is not always perfect, it can offer great advice or just act as a friend to kids who feel lonely. CAYA also promotes children to talk through their worries.
How I built it
I built this app with ReactJS, Brain.js, and the web-text-to-speech API. I created a training set to understand the context of the conversation and what the user is trying to say in Brain.js. I used new CSS features to animate a human-looking face that could blink and move its lips. I also looked at real psychology papers to train my neural net. Finally I experimented with the text-to-speech API to create a personality and a tone that kids will feel comfortable with.
Challenges I ran into
I ran into many challenges in the process of building this project:
Synthesizing text into speech and changing the voice
Adding personality to the bot, animating the face
Training the neural net, deciding how many hidden layers and iterations we should have
Making CAYA conversational and carrying context throughout the conversation.
Accomplishments that I'm proud of
Overcoming the challenges I listed above is something I take pride in. However, what gives me most joy is that I was able to create a full machine learning program with new technologies and a low error rate in a little more than a day. I am also proud that I could construct a complex face using CSS.
What I learned
CAYA was a personal learning process too. I learned several things while building her. On the coding front I learned how to use the web-text-to-speech API so my web app could talk. I also learned about how a neural network trains and works, what an LSTM (Long Short Term Memory network) is, and how to get good results from the neural network. But I learned more than coding. While reading the psychology papers in order to train CAYA I was able to learn much about child and youth psychology that I hope to be able to use more in helping my generation deal with issues that surround us.
What's next for Computer Automated Youth Advisor
There are still definitely things that can be improved. I think what would make the CAYA a lot better is smoother conversation with more training, and able to understand the context more(understand what the user is talking about).
Built With
brain.js
css3
html5
javascript
machine-learning
react
text-to-speech | CAYA: Computer Automated Youth Advisor | A virtual student counselor to help kids deal with loneliness, school closure, grade fears, etc. during the COVID 19 crisis. | ['Siddhartha Chatterjee'] | [] | ['brain.js', 'css3', 'html5', 'javascript', 'machine-learning', 'react', 'text-to-speech'] | 93 |
10,123 | https://devpost.com/software/healthysurprise | Area of wellness we covered in HealthySurprise platform
Goal of HealthySurprise platform
Why its special
What we offer to people
Why community needs HealthySurprise
Why community needs HealthySurprise
Way of engagments in HealthySurprise
Sending surprise using HealthySurprise Site
Social Network of HealthySurprise
Groups of HealthySurprise
Channel of HealthySurprise
HealthySurprise Shared by someone
Channel to help with prenatal yoga sessions
Groups to join in HealthySurprise platform
Coping with Stress techniques in group
Quit smoking group to help smoking addicts and start healthy habits
Anti stress techniques group created by someone
Weight control group created on HealthySurprise
User feedbacks of HealthySurprise
SME's quotes for wellness and HealthySurprise concept coverage
Contact our Team
Before you start reading about the HealthySurprise ,I want you to think about certain questions -:
1)
Are you a person who is health conscious and love to be fit and well ?
Looking for healthier communities to connect with ?
2)
Are you a person feeling stress and trying to cope up the same in different ways ?
Are you looking for a place where you can open up with your feelings/emotions?
3)
Are you a subject matter expert in field of mental health and want to help out people
but reaching to a wider audience is a challenge for you ?
4)
Are you yoga enthusiast,meditation lover ,spiritual person or any person who love to do healthy activities
and looking for communtities to pursue the activities as a group ?
5)
Are you mental therapist, yoga instructor ,dance teacher or spiritual guru etc. who want to help people
in different ways and think about society as larger good ?
6)
Are you a person facing some mental illness and looking for communities going with same phase
and can be your companion to deal with ?
7)
Have you lost touch with your old friends and want to connect with them on something healthier
along with getting fun out of it ?
8)
Are you concerned about your health while the world is going through extraordinary times of pandemic
which require health attention and strong immune system to deal with ?
9)
Do you love surprises by someone or surprise people to smile together
and missing a purpose to do so ?
If yes , and if you think somewhere we all fit in above categories as a human being who want to live a balance healthy life in all dimensions.Our vision is all about above as a holisitic approach just we want to start and step up .
Inspiration -:
There are two ways to support people in COVID-19 pandemic .One is to help people by providing them resources that they need for their well being as a cure and other is to prevent the adverse effect of this pandemic on their mental ,physical health and social well being .
We always love to be on preventive side before we need cure for such adverse effects.
Wellness as meaning being healthy in many dimensions of our lives. That includes the emotional, physical, occupational, intellectual, financial, social, environmental, and spiritual parts. These dimensions are interconnected, one dimension building on another.
Need is to inspire people, friends or society towards healthy ,socially connected and motivated society to fight this challenge keeping in mind all aspects of wellness.
Healthy society comes with healthy lifestyle habits ,social collaboration and helping each other in achieving wellness as a whole
.Let's inspire and connect people to adapt to the healthy lifestyle habits while enjoying the connection and motivation to do so .
With time we will be able to build a community of healthy people contributing to each other's health and well being which can further lead to a platform of healthy people doing healthy activities collaboratively and inspiring others to join the same.
Problem that we solve -:
1) No platform for above community which connects people in healthier ways on concept of wellness .
2) No solution or digital platform that connect people or friends together for healthy lifestyle habits and pursue them further together.
3) If available, mostly are Instructor lead paid classes/courses which comes with financial concerns.
4) Subject matter experts or instructors in social sector want to reach out to wider audience and help but no platform to do so .
5) Many of the times people going through stress,depression ,anxiety don't want to share thoughts on social media among general public but love to connect personally on a channel with similar community .
6) General Scoial media network is cluttered with so much information that we loose the concept of wellness while using them .
Bottleneck thought in social connection
Whenever we think of social connection we feel facebook,twitter,instagram or others are sufficient to serve the purpose but this is not the case .If this case is valid ,linkedIn will never become professional community as social network serving millions .
Different Social network adapts and fit best to different communities with different purpose.
HealthySurpise is one thought for community of wellness.
Hackathon Theme we are focusing -:
1) How do we connect people in unique ways to prevent loneliness when isolation is their only option?
2) How do we help people engage with each other in safe ways when social distancing is not an option?
Solution -:
What if we have a solution to inspire or connect people for healthy lifestyles on broader concept of wellness only .
HealthySurprise is an idea to do so .It does this by not only connecting people or old friends but make community out of the same to pursue yoga ,meditation ,stress therapies,dance and spirituality etc healthy activities as groups in their lifestyle.
It is the
community of wellness.
How to start with -:
People most dear to us are our old childhood friends in school or locality , college mates or colleagues at work ,family cousins , lovers and many others.We are in touch of some and loose contact with many in this life journey. We love to surprise them and get in touch with them back with something special as an event .Many of the times we wait for any such lucky event to happen and cherish the past memories .Let's give this a healthy purpose with HealthySurprise.
With HealthySurprise anyone can share his/her one healthy activity out of yoga ,meditation ,dance and spirituality with one of friend and provide the next friend name as optional to carry the surprise further .Once the person will be ready with his/her surprise ,he/she will send it to next friend . All friends participated in one surprise! can see the activities of each other and comments/likes added .This surprise! will be optional to accompain with one memory of that friend.e.g photo or video .
This way friends or people will have communities based on healthy interest which do different healthy activities together and share/inspire others for healthy life.
Social network of such people can help in achieving wellness as a whole while fostering healthy relationships.People can also connect on various issues of wellness or health and get served by others.
How it will evolve into platform of healthy people collaboratively doing healthy activities-:
1) To start with , We are giving two ways of sending surprises .
a)
Using the HealthySurprise Site
, anyone can send the surprise to one friend or person using the phone number and attaching one healthy surprise to it as youtube video link.
b)
Using the social network site of HealthySurprise
where user can add posts/video of the activity and send the healthy surprise along with tagging the next friend to surprise with.
2) Users can create channels or groups and topics to collaborate on various healthy activities/issues.
3) User can add Comments in activities of each other and calling feature to the person to collaborate on same.
4) Seeing multiple surprises together on a HealthySurprise platform and participated members/friends on one surprise .
5)
Adding a conference link to the surprise or video conferencing channels needs to be integrated for events
to join in.
6) Multiple people connecting together on platform live to do activities e.g Yoga ,meditation , mental therapies, dance and spirituality.
7) Social platform where any user can send or see the healthy surprise! and do join the healthy community.
8)
Subject matter experts or instructors can join and drive people together for wellbeing of society and reach to wider audience.
9) We will add functionality of adding multiple friends in healthysurprise site also.
How HealthySurprise is different -:
1) We want people adapt to healthy lifestyles by doing yoga,meditation,dance and being spiritual in their lifestyle .
2)
Specialized people or instructors in each category
can also create surprises and make people follow and join live .
3)
No financial concerns
while using the solution .
4) Differently challenged people can also use this platform to connect with their friends or similar communities for activities that belong to them.
5)
People can exchange physcial healthy gifts in future through HealthySurprise without getting out of their homes or in lockdowns.
6)
People can also drive channels like quit smoking ..weight control as surprises to send with and join more people in their journey .
How we will do this -:
We have achieved social network of Healthysurprise and HealthySurprise site to send surprises for healthier communities to connect on various healthy activities or topics .
How I built it
HealthySurprise Site is HTML Site with
Twilio
integrated to send surprises as messages on cell phones.We take inputs of message as form on site .
HealthySurprise Social network has been created
with help of tribe software as a service
and people can send healthy surprise ,connect ,create groups/topics on various healthy activities to collaborate with.
Hosting of site on netlify
.
Challenges I ran into
1) I worked on this individually and achieved a significant amount of idea technically .
2) Used Twilio first time and it helped a lot to achieve messaging platform from site .Though currently it is working only with twilio trial account .Need is to make generic for any number.
3) Contacted yoga instructors ,subject matter experts on mental health and mentors to verify the need of such platform.
4) Contacted friends and some general users who are fitness enthusiast and looking for healthy communities to connect with .Their interest in using such platform is major driving factor.
Accomplishments that I'm proud of
Due to lack of team , single handedly achieved and implemented the idea into prototype is I am proud of .
Support I got from mentors and useful insights in the area of wellness is the motivating factor for such platform .
What I learned
1) Twilio usage and its usefulness for various purposes of chat,messaging etc .
2) Research on video conferencing platforms to connect for live channels for various activities on HealthySurprise. This needs to be completed further .
3)
Area of wellness and collaboration
with mentors to achieve something quickly in hackathon .
Group it serves with vision of potential user base.
1) General social media users with interest on healthy activities.
2) Wellness communities and people looking for such communities.
3) Wellness practitioners .
4) Subject matter experts and others working in area of wellness .
5) Instructors or youtubers working in field of Health activities as offerings.
6) General public with goal to connect and create network on their hobbies of wellness as various activities .
7) Gifts sending communities as healthysurprises physically .
8) Wellness and health magazines .
9) Seeking Talent in area of wellness .
10) Corporate channels ,university groups and organizations working in area of wellness.
Feedbacks from public health officials, mental health experts, or experts
1)
Contacted practitioners in each field of wellness
with mails and LinkedIn.Got good response from them and feedbacks to make it more useful .
2)
Mentors feedback was very positive
to give insights into same .
3) Friends and family working in area of wellness provide responses on how they are connecting currently with people in their field and facing challenges in growth .
4) People suffering from stress and depression are appreciating this platform of wellness.
Necessary resources
Team of 7 people will be a good team to work further on
Product and Business Development -: Puneet (me)
Infrastructure & deployment -: One resource done-: Shiv Prateek to work on .
Design & Development Team -: Three resources - One resource Shipra for front end is available .Need two more.
One developer for live streaming/sessions integration and one graphic designer is required.
Product Validation Team -: One resource -: Arranged as Kanika .
Marketing and User Engagement -: Need one resource .
Path Forward
Market this current product and get user base on platform .Get user feedbacks and more expectations from community of wellness and practitioners .Focus on below proposal of next steps for product development and marketing strategies along with.
Proposal for next steps
1) Goal is to design and development of a proprietary website and social network ,This team can make product out of the prototype with complete tech stack without using software as a service .This way we can support n number of users with own infra and DB supported of HealthySurpise itself . This will be cost saving model to avoid subscription based fees for software in case of large userbase.
2)
Connect with SMEs and wellness practitioners who will spread this social network of wellness
among people by channelizing in each field of wellness.e.g to connect or shift to HealthySurprise for mental therapies ,yoga ,spirituality and others to use this platform with user base connected to them .
4) Acquire user fan base .
Marketing campaigns
using other generic social media platforms with channels focusing on related topics to quickly reach to right audience.
Promotions and partnerships with health and wellness magazines.
5) Association with more mentors and social network entrepreneurs to work collaboratively and marketing strategy for wider audience.
6)
Get funded
to set up a team to work on it dedicatedly and extend features for live channels and others .
Emerge as Outstanding project of this hackathon and serve people ,society to create future healthier communities working in area of wellness .
Built With
html
javascript
netlify
tribe
twilio
Try it out
healthysurprise.tribe.so
distracted-goldberg-7dd4a8.netlify.app
github.com | HealthySurprise | Inspire people,friends or society towards healthy,socially connected and motivated society by sending healthy surprises and create healthy communities further to pursue with them healthy lifestyles. | ['Puneet Behl'] | [] | ['html', 'javascript', 'netlify', 'tribe', 'twilio'] | 94 |
10,123 | https://devpost.com/software/campaign-for-open-trustworthy-science | Fair Open Access - No paywalls for readers and authors
Science paywalled
Inspiration
Science is critical to solve world's major problems.
The lack of transparency is blocking science to function efficiently and preventing many talented people, including ones from disadvantaged backgrounds, from realizing their potential and making a valuable contribution to science and society.
What it does
Build a network of connected communities of scientists, public and institutions involved in managing science such as research funders - with the goal of global adoption of new quality and trustworthiness principles for research publications.
Allow any citizen, any organization, to quickly access important information about methods and evaluation process for each research article - the information needed to determine various aspects of trustworthiness, e.g. research findings reproducibility.
How I built it
Building on the work of a network of leading open science advocates over 20+ years facilitated
on the Publishing Reform Forum
https://publishing-reform.gitlab.io/
Challenges I ran into
Breaking through the complexity of the campaign
and writing short, accessible and relevant messages to explain the purpose
and why we think it can be realistically achieved.
Although the campaign will benefit everyone by making science more efficient to solve world's problems,
and many people support it, it remains challenging to find enough help, which is needed for the campaign to succeed.
Accomplishments that I'm proud of
Organized public support of the Fair Open Access Principles
by world's renowned scientists, including Fields Medalists and Abel Prize winners:
https://gitlab.com/publishing-reform/discussion/blob/master/Fair%20Open%20Access/List%20of%20supporters%20of%20Fair%20Open%20Access.md
What I learned
Transparency and inclusiveness always win in any community.
What's next for Campaign for Open & Trustworthy Science
Launching crowdfunding campaigns to be able to compensate our volunteers and pay
Built With
gitlab
google-docs
Try it out
app.jogl.io
gitlab.com | Campaign for Open & Trustworthy Science | Campaign for adoption of quality principles for research publications through collaboration between Funders and Researchers communities. | ['Dmitri Zaitsev'] | [] | ['gitlab', 'google-docs'] | 95 |
10,123 | https://devpost.com/software/together-to-end-the-problem-of-social-isolation | Photo of our design about the Corona virus.
Together to end the problem of social isolation
In 2007 a research paper appeared explaining the relationship between natural disasters and crises and as a result of quarantine, there will be an increase in the number of births significantly after 9 months from the beginning of the stone. Divorce rates will increase and addiction will increase the production of psychological clinics .. In Wuhan, China, the divorce rate has increased dramatically and lecturer has increased Domestic violence and child custody issues in the past two months, the rate of alcohol consumption has increased dramatically, and there are studies saying that the quarantine has severe damage to mental health, and it includes symptoms of anger, stress, fear, and sometimes depression. The longer the duration of the quarantine, the worse the problem and our idea is to eliminate the dangers that can occur Because of quarantine and great ideas to avoid disasters .. The World Health Organization recommends isolation with video games and the use of the Internet because it reduces stress and psychological pressure and it is also possible to watch movies and programs or read a book or drawing or plant a tree much better than infection with the Corona virus.
How to avoid loneliness in a time of social isolation?
The isolation of the Astronauts on their journey to the moon :
NASA astronauts have been flying to space for more than 50 years and for nearly 20 years, crew members have been staying in space for months-long missions living on the International Space Station with only a few other people in about as much space as a six-bedroom house. Astronauts experience various aspects of social isolation and confinement during their missions . We will quote the space isolation created by NASA during its flight in space, sufficient expertise for domestic insulation.
This quarantine has made a big impact on how we negatively view this year as a society, but we have to realize that there are still plenty of months left in this year to turn our viewpoints to positive. I believe that this quarantine can give everyone a chance to improve something about themselves. Whether that be your physical health, cooking capabilities, or crocheting skills, everyone has something they can improve about themselves.
Reducing boredom while in quarantine at home :
1-Being confined to home for an extended period of time can cause boredom, stress and conflict.
2-Arrange with your boss to work from home, if possible.
3-Ask your child’s school to supply assignments, work sheets and homework by post or email.
4-Take everyone’s needs into account as much as possible when you plan activities. Remember, you don’t have to spend every moment of quarantine together. Make sure everyone gets the opportunity to spend some time alone.
5-Plan ‘time out’ from each other. You could split the family into teams that occupy different areas of the house -for example, Dad with one child in the garage and Mum with the other child in the lounge room -then swap the following day.
6-Don’t rely too heavily on the television and technology. Treat quarantine as an opportunity to do some of those things you never usually have time for, such as board games, craft, drawing and reading.
7-Accept that conflict and arguments may occur. Try to resolve issues quickly. Distraction may work with young children.
And there are other ideas :
ـRemote face-to-face communication: Video chats are the best they can be in human communication, second only to personal contact; Because facial features, body language, and other forms of non-operative communication are important for building social bonds. Whenever possible, use video chats instead of text messages or phone calls, and do what you usually do with others. For example, try having a digital dinner with someone you met through a dating app, drinking by default with your friends or a book club remote meeting.
ـ Getting a lot of liking taps on a post on a social media site may give you a lightning boost from dopamine, but receiving a direct message or email with a sincere courtesy or an expression of gratitude is more personal, lasts longer, does not take long . When you find yourself browsing people's posts, pause and send someone a few gentle words. Ultimately, we need an extra dose of kindness to address the stress and uncertainty associated with the Corona virus.
ـ Grow your community: The key to any social communication is having commonalities. Whatever your own interests, there are online communities that share the same interests and can't wait to talk to someone else who is interested in them. There are also digital support groups, such as new parents or patients with a rare disease. Use these networks to get involved in your most important concern.
ـCreate deeper and broader relationships: There are two basic ways to overcome loneliness: caring for your actual relationships or making new ones. Reflect on your current social health condition, then take one digital step to deepen it - like communicating with a friend or family member you haven't talked with for a long time - or expanding it, such as seeking to connect with someone you want to know.
ـUse communication tools: Applications and social platforms are increasingly being made to improve our online communication with our loved ones, including applications such as Ikaria, Cocoon, Monaro and Squad. If you are the one who deals well with the social structure, these tools may be a useful choice for you. Alternatively, you can use chat prefixes such as Table Topics or The And to start interesting conversations during a video call.
Personally, we are always working on entertaining our free time in creating creative crafts at home that benefit us both in decorations as we designed a small fountain for our room using cement and also a fish tank and also in changing the colors of home furniture or things that benefit the kitchen where it benefits young people of the same age and for those with talents such as drawing Or singing, it will be their chance to improve their talent, and for those who do not have the household talent, they can spend their time learning a craft via the Internet or a course that teaches the English language with a view to improving it ... As for my brother, he loves acting and he did well in creating videos for himself at home He displayed his talent in it and shared it on social media, where it achieved great success, my brother got excited and worked on creating many videos and spent his time well.
Here are some things to keep in mind to reduce the treat of social isolation and loneliness as the pandemic continues :
1- Social isolation and loneliness are serious health issues
These related conditions affect a significant proportion of adults in the United States and have been calculated as being The equivalent of smoking 15 cigarettes a day
2-Plan and connect
important to talk to family and friends to develop pan to safely stay in regular touch as we socially distance ourselves, or if we are required to self-quarantine for a possible exposure or are in isolation for a COVID-19 infection. This plan should confirm whom you can reach out to if you need help accessing food, medicine and other medical supplies
3- Make a list of organizations that can help
Create a list of community and faith-based organizations that you or the people in your plan can contact in the event you lack access to information, health care services, support and resources. If your neighborhood has a website or social media page and you haven't joined it, consider doing so to stay connected to neighbors, information and resources. Consider including on your list organizations that provide mental health or counseling services as well as food and other supplies.
4-Remember pets (their value and their needs)
Pets can help combat loneliness, and some pets have been linked with owners’ longevity. The World Health Organization has also determined that dogs cannot get coronavirus. Still, it's always important to .wash your hands after contact with pets . And just as you need to ensure you have sufficient supplies for yourself and family, be stocked with food and other supplies for your pets.
5-Know who's most at risk for social isolation and loneliness
People at the highest risk of developing more serious illness from COVID-19 and who should be the most vigilant about social distancing will also be the most at risk of increased social isolation and loneliness. For example, the CDC has recommended that long-term care facilities discourage visitation.
What inspired us to the idea of solving isolation is that we also were suffering from the same problem even the younger sisters of us and we did not encourage ourselves and searched for American studies in the problem until we proposed the idea to our family and our ideas succeeded very significantly where the young people started to make videos and publish them through social networking sites and did not suffer Start from the problem, and for the mother, she learned new foods, and she did not feel bored either. We also enjoyed her food very much, and we seek to spread our thoughts and eliminate the problem, and take advantage of the quarantine times while they benefit until the problem ends and we return to our normal life.
We have learned many things, which are that we are now able to not feel bored completely and away from problem solutions. Our experience in the field of scientific research has increased and we have become more interesting for participating in many other competitions and more interesting in moving to other problems in order to benefit our society more. After we finished our research we loved that We benefit the people more, so we worked to hold a meeting with our village while preserving the necessary things to prevent the spread of the virus. The people in our village told us our thoughts, and after a week the people were very happy and thanked us for our effort with them and loved our ideas very much.
We faced many challenges that may be difficult for us or it is possible because for the first time we try to do something as we faced some of the difficulty in research in order to benefit from reliable information and also challenge us ourselves in creating a cartoon video for children that contains our ideas and publish it on social networking sites to benefit as much as possible People have already created the video and we have also worked on creating a website and already we have made the site and we are very happy because we learned new things and what I do at the time of quarantine is that I am learning new things that are useful to me and also I participate in competitions that obligate me to learn new things.
Built With
english
google
searches
Try it out
Isolationsolutionwithnasateam.blogspot.com | Together to end the problem of social isolation | Isolation has a risk to mental health and our idea is to find solutions to the problem of social isolation such as watching movies, exercising home sports, planting a tree or reading books and so on | ['Youssef Ahmed Ragaee', 'Mariam tawfik Ibrahim'] | [] | ['english', 'google', 'searches'] | 96 |
10,123 | https://devpost.com/software/we-make-healthcare-sustainable-and-integrative | Shaping the world together with gratitude, body support and humanity
Inspiration
The current situation shows that the crisis will continue indefinitely if the health care system is not focused on sustainability, integration of research and support for self-responsibility.
What it does
We connect:
health care professionals and researchers from various sciences and medical fields to integrate their different views.
people who want to stay healthy and support other people.
Healthcare providers, entrepreneurs and politicians
We network for health together study network for integrative medicine.
How I built it
WordPress
Challenges I ran into
Accomplishments that I'm proud of
On the nomination of the health insurance of the study network for integrative medicine for the German Sustainability Award Design 2021 as a contribution to the transformation into a sustainable future.
What I learned
To express the facts simply and clearly.
What's next for We make healthcare sustainable and integrative
Finish the platform in German.
Find teammates
Enable multilingualism
Translate in English
Built With
wordpress
Try it out
thanknet.de | We make healthcare sustainable and integrative | We support a transformation towards a healthier and more sustainable world. We start at the cause: in relationship to our body and in health care. We connect all members of society into a network. | ['Maro Domenig', 'Gudrun Dara Müller'] | [] | ['wordpress'] | 97 |
10,123 | https://devpost.com/software/guardian-circle | One example: Overwhelmed 9-1-1
Inspiration
My girlfriend had a stroke while she was all alone (she's fine now :) ). There were seven people she knew within 1000 yards of her, she was drowning in help, but had no way to reach it.
We initially conceived Guardian Circle as a medically oriented app, but quickly found others found it useful for seniors, for solo workers like hotel housekeepers or real estate agents, or women's safety (the XPRIZE saw use for it in India).
What it does
Friends & Family 9-1-1. Push a button: Help comes.
Get friends, family and neighbors to download Guardian Circle and connect in the system as Guardians. When you're trouble, press an Alert button. Your Guardians immediately get a loud push notification Alert. When they answer, they are brought into your Alert Room, where they share location and chat. In under 30 seconds, everyone knows where everyone else is and can communicate -- whether THEY knew each other beforehand or not (odds are good they don't all know each other, even though they all know you). Now they can make a plan to rescue you.
There's an option to broadcast alerts publicly to nearby strangers. There's also a built in $GUARD crypto wallet. Users earn $GUARD for response and referrals. They can also easily send $GUARD to anyone they have a Guardian relationship with.
How I built it
It took us several tries and four years to get where we are today.
Challenges I ran into
It was hard to get people to think about emergencies before COVID19 and the recent social unrest / riots. And the idea of 'community emergency response' seemed unrealistic to most ('Why can't I just use 9-1-1'?) -- until 'defund the police' become very real overnight. Who will you call when there is no 9-1-1? Or when law enforcement is overwhelmed or not available due to COVID officer sickness?
Accomplishments that I'm proud of
Fast Company 'World Changing Idea' award, Newsweek Blockchain Impact Nominee, Women's Safety XPRIZE partner, featured in 'TRUST MACHINE' documentary by Alex Winter and Rosario Dawson.
What I learned
Getting Android apps to work worldwide on all screen sizes, all Android variations, all carriers worldwide is almost impossible :) But we got most of the way there and iOS works great.
What's next for Guardian Circle
Revenue. We are attacking the hotel housekeeper panic button market with our SAEPIO product line - which is Guardian Circle with some new bells and whistles to locate housekeepers accurately indoors.
We may add OPTIONAL enhanced paid protection to Guardian Circle down the road.
But Guardian Circle base consumer app is, and always will remain, free. Our wish is for the world to use this free protection grid. Have any number of Guardians, generate any number of Alerts, no limits.
It is especially useful in regions where there is no 9-1-1 (most of earth has nothing, 6 of the 7 Billion of us).
Built With
amazon-web-services
flutter
Try it out
guardiancircle.com | Guardian Circle | Friends & Family 9-1-1. Push a button, help comes. Community Emergency Response Network. | ['Mark Jeffrey'] | [] | ['amazon-web-services', 'flutter'] | 98 |
10,123 | https://devpost.com/software/identifying-mental-health-concerns | Inspiration
A recent study from medical journal The Lancet notes that the psychological impact of quarantine can be great, resulting in a range of mental health concerns from anxiety and anger to sleep disturbances, depression and post-traumatic stress disorder (PTSD).
What it does
Symptoms may include:
— Fear and worry about your own health
— Changes in sleep or eating patterns
— Difficulty sleeping or concentrating
— Worsening of chronic health problems
— Increased use of alcohol, tobacco, or other drugs
How I built it
Browsing through social media, google etc.
Challenges I ran into
Lot of time I spend to gather all information.
Accomplishments that I'm proud of
I feel great because atleast I am tried to help people to identify signs and to help them with their problem.
What I learned
“Stay in contact with people — virtually — engage in activities that give you pleasure and a sense of meaning, and do what you can to help others, which is a remarkable antidote to depression.”
What's next for Identifying mental health concerns
Built With
languages
Try it out
github.com | Identifying mental health concerns | To ensure that people should look out for signs of distressed mental health in themselves and others | ['Omkar Sonawane'] | [] | ['languages'] | 99 |
10,123 | https://devpost.com/software/soulconnect | 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 SoulConnect
Built With
google
react
youtube | SoulConnect | SoulConnect | ['Puneet Behl'] | [] | ['google', 'react', 'youtube'] | 100 |
10,123 | https://devpost.com/software/hearts-drive | Inspiration
to be writeen!!
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Hearts Drive
Built With
mongodb
node.js
react | Hearts Drive | A TRUSTFUL HELPERS NETWORK that acts as a seemless social SAFETY NET through connecting people in need to care givers and support specialists in a specially designed 30 minutes formats. | ['Feras Naser'] | [] | ['mongodb', 'node.js', 'react'] | 101 |
10,123 | https://devpost.com/software/my-covidential-diary | Case life cycle
First submission page
Example of the multiple choice questions
Submission for multiple choice questions
End stage
Personalised email sent
Personalised diary entry received by user via their email
My Inspiration
Hello, my name is Jessica Levett.
I have created an application called My Covidential Diary using the PEGA Platform V 8.4.
It's inspired by a woman I have studied and read about for much of my life,
Anne Frank
.
She lived through one of the worlds most traumatic experiences and still wrote and documented her diary.
I wanted to make writing a diary as simple as clicking a button.
So that anyone can document their current experiences.
All entry's are sent personalised to your email and are customised by your answers.
I hope people can find comfort in creating their diary just as others have done before :)
I have entered my application into this
Amazing Hackathon
, in the hope that I can help spread awareness of positive change and using the resources around me avaliable to do so. And to show what girls can do 💪
I wish everyone in the world the best and have a great day!
What it does
It generates a personalised diary entry based on your multiple choice answers to help document your day.
It includes questions inspired by Anne Frank's diary and the types of things she wrote about.
I have also used questions given to me from a few years ago from my councillor which helped me come to terms with how I was feeling at the time.
The language is also not too complicated and provides straight forward answers for those with additional needs.
My younger brother who has severe learning disabilities has trialled the application and submitted his diary entry.
I really tried to make my application suitable and helpful to as many people as possible because writing is an amazing vice for those going through tough times.
How I built it
I built it using PEGA 8.4 in the App and Dev studio.
Challenges I ran into
I wanted to create this application as best as possible in the time frame to ensure functionality.
I'm all about perseverance, pushing through obstacles and finding solutions.
So I'm really happy that I was able to achieve my submitted product.
Accomplishments that I'm proud of
I am proud that it works and that it has already helped some people who have tested it out.
For example I have a teenage sister and offered her to test my app after a stressful day of online exams.
She told me how relieved she felt opening up to herself with the questions and now she has something to show herself in the future about how she has dealt with the current situation.
That really made my day because that was the goal for this application.
What I learned
That I can help people by using my skills with the PEGA system.
What's next for My Covidential Diary
I'm sure once people have grasped the concept they will want to try it, so to make it deployable would be a dream come true. The goal is to help people using PEGA resources and I really do feel that my application does that.
Built With
pega | My Covidential Diary | Document your Covidential Diary with just the click of a button. | ['Jessica Levett'] | [] | ['pega'] | 102 |
10,123 | https://devpost.com/software/support-for-street-children | Inspiration
Our idea has been inspired by COVID-19’s robbing children of their extracurriculars, which is what keeps them busy and entertained. Victoria’s recent COVID-19 spike has influenced our choice of location for our start-up and businesses such as that of Classbento and Eventbrite have inspired our business model.
What it does
Our not-for-profit organisation increases the quality of 4-12 year old childrens’ learning and entertainment, via our calendar tool enabling easy delivery and booking of live, virtual events and extracurriculars based in the South-eastern Melbourne community.
How we built it
We used miro to map out our website functioning, before utilising Wix and Indesign to prototype our website. Canva was used to develop our logo. To create our pitch, capto recorded our website and calendar functionality. Dell voice recorder and an online audio joiner produced the audio script for our pitch, which was placed onto a video made by iMovie.
Challenges we ran into
We often adapted to challenges on-hand, such as not knowing how to complete tasks (such as using Wix) and requiring more than one tool to create our calendar tool (due to Wix’s limited calendar features).
Accomplishments that we're proud of
We’re proud to have completed our project with only 75% of our intended team. Additionally, we’re proud of how we’ve dealt with time pressure and worked cohesively as a team to actualise our start-up goals, which we believe would have a genuinely positive impact on children, their parents and the local community they’re a part of.
What we learned
We’ve established a greater sense of teamwork, organisation and communication skills and learnt more about the pitching process than we’d previously known. We also - due to our pivot in start-up idea - that sometimes, simple ideas are better!
What's next for killers team
We’re not sure yet, but We can develop indefinitely in our work and have other ideas that are much better and we strive to achieve them.
Built With
capto
indesign
wix
Try it out
taranicho.wixsite.com | Covid-19's children | Our idea has been inspired by COVID-19’s robbing children of their extracurriculars, which is what keeps them busy and entertained. | ['Youssef Ahmed Ragaee'] | [] | ['capto', 'indesign', 'wix'] | 103 |
10,123 | https://devpost.com/software/humanner | We live in multiple ecosystem simultaniosly
All in ONE pic
We already know but don't do
Eco-System Thinking for EVERYONE
Multi layered Corporate & Collective Social Responsibility GLOCAL Platform
Public Services in a Multi Layered milieu
Simplified complexity (Federation of the Commons for the public goods)
Future Scenario Planning
We can plan together our better future
The Future = WEB 3.0
Semantic AI
Base of the Collective Intelligence
Manage the Complexity of Microservices
Inspiration
Citizen Social Science in the age of the ALPHA GENERATION
Humanner is a Citizen Social Science IT Project
, aimed at creating a new social networked environment that connects academics directly with communities so that evidence-based research may be shared and acted upon instantly with consistent feedback and contributions from the community.
THE PROBLEM IS NOT THE LACK OF A COLLECTIVE DESIRE FOR A POSITIVE FUTURE BUT THE LACK OF A COLLECTIVE VEHICLE FOR POSITIVE ACTIONS.
It is time to align people and environmental needs through new interconnected collaborative organizational models. Establish the bridge between the virtual and offline world as well as connect academics and communities to focus on social impact by providing the missing valuable functions of the social technology for the common good. We want everyone to be able to share and take joint action on everyday experiences and quality of life concerns; at a local, national and global level.
Collective Holistic Social Innovation Ecosystem Management
helps people prepare for the rapidly changing world of work, inspires veterans and their families join into the champion resilient sustainable communities and eliminate the unfair competitive advantages of the tech giant's traditional business models..
To do this by holistically connect the disconnected and isolated dots with each other and communities of
GLOCAL society
to use technologies and methods to collectively solve problems by holistic approach and
Eco-System Design thinking
to improve the..
Humanity’s relationship to its environment
Humanity’s relationship to technology, and
Humanity’s relationship to itself
.
Before you read anything please watch this video first:
You will much better understand what you will read after -
DOMINO EFFECT - COVID-19 -->> Global economy -->> Social crisis -->> Political crisis -->> ???
Earth's living system -->> Technology -->>Collective Future Planning-->> Why need? <<-->> Collective Mind = WISDOM
.
Humanner's 3 main BUILDING BLOCKS:
1/ Community
- If we do not develop common language - Can't communicate
2/ Multi Layered Social BPM PLANET PLATFORM
- If we do not provide methods and tools - Can't act collectively
3/ Social Business Digital Infrastructure Ecosystem
- If we do not make business differently - Can't help the commons
Let's start
1/ Community = people = folks = Mass
Virtual / Offline Local - like a GLOCAL like a networked PRESTON MODEL
We are truly living in a very unique time in the history of our civilization, facing several simultaneous challenges and converging crises. We now have a choice to make! Either we move into a new phase in the evolution of consciousness and a new era of life on planet Earth, or we will witness the unravelling of the web of life and the immature end of our species and much of the community of life along with us.
University Social Responsibility --> Citizen Social Science
Linking science and technologies to communities of our global society. Humanner social R&D focus on interweaving new models so smoothly and seamlessly into the currently prevailing system, that it will not be perceived as opposition, but rather as a higher quality competitive model, which gradually replaces the old one.
Our method is to create a high-quality example while showcasing our understanding of what it means to be human.
CCSR - Corporate and COLLECTIVE Social Responsibility
We can thank the pandemic for opening the way to a global transformation.
Now the way is open to creating a better world, a world that lives up to the power and the potential of the human spirit.
There has never been a more exciting or more important task in the history of humankind.
2/ Multi Layered Social BPM Semantic PLANET PLATFORM
• Erosion of the Surveillance Capitalism ---> Privacy Revolution <-- Reclaim what's rightfully belongs to us
Humanner's system work with a MULTI FUNCTIONAL holistic multisolving approach so that make the investment more impactful.
Single investment of time and money
- Defined as a way of solving multiple problems with a single investment of time and money, the multisolving approach brings together stakeholders from different sectors and disciplines to tackle public issues in a cost-efficient manner
1/ "Normal" days (GLOCAL) - Collective Social Innovation Network
2/ In Crisis situation can turn into - Collective Crisis Management System
Humanner aimed at improving digital capability in a multi-layered milieu. Envisaged transformative Multi Layered Social Network of Networks by unique SOCIETY's Web 3.0 as a semantic way connected people create a humane and sustainable collaborative environment for individuals, families, communities and all kind of organisation by helping each other in virtual and offline Common Point's Workshops to reach their fullest potential through the power of collaborative problem solving community work.
•.Holistically Multi Layered Data + Semantic + GIS --> Array of Things
•.Mindmap --> Process flow --> BPMN --> UML --> Code flow visualisation
•.CITIZEN DEVELOPMENT - no code / low code - visual programming
•.Social BPM - collective policy development and review system
•.Pilot Project (Networked Preston model)
Humanner SPOSC - Single Point of Service Contact
•.Expertise to help with solutions
•.Frameworks to help deliver those solutions
•.Toolkits to put "flesh" on the frameworks
•A repository of tried and tested methods which work (and experiential case study derived intelligence on things which don't work)
•.A common set of steps, a recipe, a plan... For the delivery of all of these things.
Digital GLOCAL
Collective intelligence
can bring together many diverse ideas and practices.
Yet we sorely lack more concerted support and action to assemble new combinations of tools that can help the world think and act at a pace as well as scale commensurate with the problems we face.
We need an entirely different model of dealing with reality, a new frame of mind, a collective intelligence. This is an ability to come into communion with a group and act as a single unit of intelligence.
For example:
Information is a prerequisite for any effective emergency response.
To get to know why WE NEED A complex SYSTEM than please watch this video first:
You will much better understand what you will read after -
The increasing importance of information has begun the process of interrelated changes of the whole society in today’s world. The rapid development of information and communication technologies occurs also in the problematic of crisis management. Since we live in a dynamic world, it is important to be ready to the changes that life brings, responding and adopting new technologies.
One of them is
crisis management information system.
Information system is a tool for information support as a functional unit that provides collection, processing, preservation and accessibility of information and data. It includes information sources, media, hardware and software, and equipment, technologies and procedures, standards and employees
It is a comprehensive set of management activities and procedures, approaches, views, experiences, methods and measures aimed on analyzing and evaluating security risks, planning, organizing, implementing and controlling the activities used by crisis management authorities to manage specific situations.
Crisis management is an integral part of the management
of the state, organization or other institution that is interested in its development.
Crisis management is also referred to as a tool to ensure sustainable development of society, organization, territory and country which can help us to save life, health and property in the whole world.
LINK: Virtual Collective as Deliberative Living Laboratory
https://www.linkedin.com/pulse/humanner-collective-deliberative-living-laboratory-our-humanner-/
Modelling of possibilities would be really helpful so everyone can sharing what they experience and how they learned in a social network environment kind of open shared distributed data way where various analytic and visual tools allow us to create narratives and explanations with models in different ways that lets us do collaborative sense-making better so facilitate lots of different people with lots of different tools to approaching the problem solving system. .
....
.
....
3/ Social Business Digital Infrastructure Ecosystem
The Base of the Cooperative Social Business Ecosystem -
The Covid-19 pandemic has jeopardized many business – a recent survey showed that 70% of founders feared bankruptcy as a consequence.
While many government initiatives have been announced, it will not be enough to keep the startup scene alive.
A recently published report by Social Enterprise UK, entitled the Hidden Revolution, highlighted that there are around 100,000 social enterprises, contributing £60bn to the UK economy and employing 2m people. According to the report the top five cooperatives in the UK pay more tax than Amazon, Facebook, Apple, eBay and Starbucks combined.
It is the system thinkers, ecosystem builders around world who are now in charge of adapting to the changed circumstances and provide founders, investors and corporates a perspective on how to continue innovating.
Companies today are born global because they are born digital. Which makes this a historic time. We are at the verge of creating a global equivalent of a medieval town square where small sellers and buyers come together to transact. It is a market where anyone can sell to anyone, anywhere, anytime.
While e-commerce enables developing countries to leapfrog to the 21st century’s technology-powered world economy - we are not optimizing this opportunity for startups and develop countries.
To get to know why WE NEED A complex SYSTEM please watch this video first:
You will much better understand what you will read after -
By the Humanner Cooperative Social Business Ecosystem model give financial self-sustainability and emerge the digital infrastructure to connect informal market, unlock the power at the bottom of pyramid, and deliver economic prosperity.
"A charity money has only one life. A Social Business money can be invested over and over again."
(Muhammad Yunnus)
Social business is a cause-driven business. The impact of the business on people or environment, rather the amount of profit made in a given period measures the success of social business.
The AliBaba features one of the most successful business models in the world and one that is very different from the accepted business/consumer model that we have grown familiar with. Humanner will convert this complex E-Industry and E-commerce business into social business model by collaborative Open Source social innovation being establish the first multinacional social IT infrastructure for small businesses.
Humanner unite the two biggest volunteer sectors
the Open Source and the Non Profit sector into a Social Business Innovation Ecosystem. We aim to explore how open source software, open source hardware, digital maker practices and open design can be effectively used by local communities to fabricate their own tools, make sense of their environments and address pressing environmental problems.
LINK: Poverty? ... Wake up and Think up ...
https://www.linkedin.com/pulse/poverty-wake-up-think-humanner-world/
The service gap is clear, undeniable
- the market demand for a solution like this and can also confirm the novelty and lack of direct competition for the idea.
- How I built it
.-5+ years learning flow by research
.-By Micro step by step as can do a single person.
.-Build Social connections.
.-Waiting the right persons to expand the possibilities with them knowledge as a team for the common good.
Please join and help us with your knowledge and experience:
...
- Challenges I ran into
.-Community building as an ex businessman
.-Motivate the members when not the money the most important factor.
.-Breakdown into micro-tasks for volunteers a very complex ecosystem.
.-Tell understandable in short - how connect the dots between - Global economy + Earth's living system + Collective Mind + Technology + Collective Future Planning
.....
- Accomplishments that I'm proud of
Humanner project got only positive feedback from academics with only a small note to improve the articulation of our identity statement.
.- More than 4000+ follower supporter on social media (pages & groups)
.- 360+ Virtual volunteer candidates from all around the world -
https://www.facebook.com/groups/humanner.synergistic.symbiosis/
.- After 5+ years research information collection we are ready to start. See all about Humanner in details (under Continuous Improvement)
.- Short listed in Google Doc: -
https://docs.google.com/document/d/13ejfHOQ7ntSBMrgVOCS5plEji0pi3hru86stS1Wer0Y/edit?usp=sharing
.- Draft Research Wiki: - (size 285 GB - gone offline - COVID eliminated our budget for the dedicated server)
http://almplan.appicentrum.com/dashboard.action
SUB-Startup projects:
.- Under the SONETMARK.com brand name all marketing tools available in house for promotion campaign.
https://app.wisemapping.com/c/maps/1058863/public
.- Any kind of web hosting problem can resolved by our reseller VENTAHOST.com -
.
- What I learned
We have to learn lot of about how to teach
- What's next for Humanner
With our TEAM would like find support for partnership with universities.
.
THE PROBLEM IS NOT THE LACK OF A COLLECTIVE DESIRE FOR A POSITIVE FUTURE BUT THE LACK OF A COLLECTIVE VEHICLE FOR POSITIVE ACTIONS.
.
REFERENCE LIST
R1/ Community
I am a citizen of a new country
https://www.linkedin.com/pulse/i-am-citizen-new-country-humanner-world/
University Social Responsibility
https://www.edx.org/course/introduction-to-university-social-responsibility
CollabDesign -
https://collabdesign.org/en/metodologias/
Problem Driven Iterative Adaptation (PDIA), A DIY Approach to Solving Complex Problems -
https://bsc.cid.harvard.edu/PDIAtoolkit
Cognitive Dissonance - Changing Minds
https://www.linkedin.com/pulse/cognitive-dissonance-changing-minds-humanner-world/
.
R2/ Multi Layered Social BPM Semantic PLANET PLATFORM
Weaving a Decentralized Semantic Web of (Personal) Knowledge
https://www.researchgate.net/publication/334126329_Weaving_a_Decentralized_Semantic_Web_of_Personal_Knowledge
Creating Knowledge out of Interlinked Data -
https://www.slideshare.net/lod2project
Knowledge transfer - knowledge communication & translation -
https://www.researchgate.net/publication/220363358_Knowledge_communication_and_translation-A_knowledge_transfer_model
MiND Technical background of the global brain -
https://devpost.com/software/mind-iw8qvl
Impact of Social Business Process Management -
https://core.ac.uk/download/pdf/77239761.pdf
Business Model Canvas Facebook -
https://innovationtactics.com/business-model-canvas-facebook/
R3/ Social Business Digital Infrastructure Ecosystem
Alibaba business model canvas -
https://vizologi.com/business-strategy-canvas/alibaba-business-model-canvas/
Business Model Canvas of Alibaba -
https://www.slideshare.net/Siddhanthdoniv/business-model-canvas-of-alibaba-191408041
Building entrepreneurial ecosystems in peripheral places
https://www.researchgate.net/publication/335458367_Challenges_of_building_entrepreneurial_ecosystems_in_peripheral_places
Entrepreneurial Ecosystem Elements -
https://www.researchgate.net/publication/339602397_Entrepreneurial_Ecosystem_Elements
Social Data Economy - Array of Things -
https://arrayofthings.github.io/
Built With
api
distributed
html5
javascript
knowledgegrahp
microservice
node.js
php
react
semantic
Try it out
www.humanner.world
www.facebook.com
www.linkedin.com
twitter.com
www.facebook.com
sonetmark.com
ventahost.com
github.com
core.ac.uk
bsc.cid.harvard.edu | Humanner | Solving Complex Problems Together | ['Elena Lopez-Gunn', 'Gudrun Dara Müller', 'Janos Deak', 'AKSHITA GUPTA', 'Puneet Purohit', 'Dmitri Zaitsev', 'Katerina Zourou', 'Michael Keating', 'shubham bhatnagar', 'Shalom Nyende', 'Isidora Beatriz González Ríos', 'River and Lake Toys', 'Mahak Rathi', 'prabitha urwyler', 'Simardeep Singh', 'Lena Khenriksen', 'Srujana Munamala', 'Yenegh Badimayalew', 'Saffat Aziz', 'Donatas Starkus', 'joehay-yorkshire', 'Mohamed Farah', 'Simone de Wijn', 'Muhammad Hanif Fauzan', 'Panos Karas'] | ['1st Choice'] | ['api', 'distributed', 'html5', 'javascript', 'knowledgegrahp', 'microservice', 'node.js', 'php', 'react', 'semantic'] | 104 |
10,123 | https://devpost.com/software/covaid-19 | Splashscreen
Covid_19
The problem is people's fear of corona disease, so a questionnaire has been done to find out whether the condition is sound or suspicious, and upon confirmation, an addiction panel appears to know the affected areas after their location is known through the map
Built With
dart
firebase
flutter
kotlin
objective-c
Try it out
github.com | covid_19 | Know location patient and quiz to person to know find covid_19 or not | ['Abdelrahman Ali'] | [] | ['dart', 'firebase', 'flutter', 'kotlin', 'objective-c'] | 105 |
10,123 | https://devpost.com/software/cybermike-2 | App Screenshot
Facebook page banner
Inspiration
Flash applet at
https://albinoblacksheep.com/flash/mike
is no longer compatible today. So I decided to continue the project in another way.
What it does
Provides a self help decision path for persons with suicidal or murderous tendencies.
How I built it
Made it using Chatfuel.
Challenges I ran into
Initially was supposed to use Dialogflow / Botman framework, however there are logistical difficulties in getting them to communicate with the Messenger platform properly.
With time running out, the prototype was made using Chatfuel.
Chat also got stuck on the first message. Did not realise that the setting in the Facebook page Messenger platform section had an option for 1st contact message that needed to be set to the Chatfuel.
Accomplishments that I'm proud of
The bot working properly.
What I learned
Using Chatfuel, linking up the Facebook Messenger platform to the proper App so that it can communicate well and not get stuck on the first message.
What's next for CyberMike 2
Expanding using natural langauge processing and having more menu options with a friendlier conversational interface. Shift back to using Dialogflow due to its built-in machine learning and natural language processing.
Built With
chatfuel
facebook
facebook-chat
facebook-messenger
html5
messenger
Try it out
m.me
www.facebook.com | CyberMike 2 | A self help chatbot to direct persons with suicidal tendencies to relevant entities or persons or help resolve the issue. | ['Salocin.TEN .'] | [] | ['chatfuel', 'facebook', 'facebook-chat', 'facebook-messenger', 'html5', 'messenger'] | 106 |
10,123 | https://devpost.com/software/covid-19-detection-using-deep-learning-ai | Thereafter images taken by astronauts will be analyzed by a CNN model to show us the impact created on the group by objects -lunar craters.
Inspiration.One of the things that should be done in this scenario is manual testing so that the true situation can be understood and right decision is taken and disadvantages of manual testing is costly less testing kits and other so using deep learning is better.
Due to the fact that the disease is highly contagious.Covid 19 analysis using deep learning includes
lungs xrays of patience , the basic ideas is to classify the affected as covid or normal
How I built it i used anacoda navigation to lauch jupyter notebook and import some libraries eg matplot keras ...
Challenges I ran into it was hard to install open cv in the anaconda framework
Accomplishments that I'm proud of the system is working
What I learned .perfecting python skills and machine learning
What's next for Covid 19 Detection using deep learning (Ai) . adding more dataset
Built With
ai
kera
machine-learning
python
pytorch
tensorflow | covid 19 with Ai | i think using Xray images to tell if somebody is positive or negative is comfortable | ['limo patrick'] | [] | ['ai', 'kera', 'machine-learning', 'python', 'pytorch', 'tensorflow'] | 107 |
10,123 | https://devpost.com/software/pandemic-patch-augmented-reality-game | Zeemz Banner
Zeemz: Pandemic Patch "AskCo19 Island" Map
Zeemz: Pandemic Patch logo
RESQ-Zeemz: Pandemic Protection
Inspiration
Disaster happens.
Collectively, we are feeling the strain from this global pandemic, this natural disaster, the Coronavirus. People everywhere are experiencing the economic uncertainties and consequences. In the United States,
more than 40 million people are unemployed
due to COVID-19, and around the world,
1.5 billion children are out of school
because of school closures.
145 countries closed their borders
, and implemented curfews and mandatory quarantines, and
43 countries implemented shelter-in place orders
. Shutting down the global economy comes with the equally dire consequences, including job loss followed by economic recession. Historically recessions have been linked with
increased domestic abuse
,
higher rates of suicide
, and
more risk for mental health issues
, and already we are seeing some of these same effects.
Quarantines are the only a stopgap solution to Stopping the Spread
.
Yesterday, we sat with the
Sword of Damocles
, the cold steel “reminder” that used to dangle precariously, that knife edge of “potential pandemic” that swayed overhead. Today, we know well the pandemic consequences of concomitant behaviors, laissez faire attitudes, and packing people into airplanes like sardines into cans. Coronavirus. We weigh our life-altering decisions, carefully, gathering the best information possible. Fortunately, we live in a technological epoch where we have the computational power to focus on any single problem to create actionable solutions.
The global crisis proves the need for disaster readiness programs that teach critical thinking and stress reduction through informed behaviors. Social distancing, face masks, increased hygiene awareness, and self-isolation are all behavioral changes that have been instituted since the pandemic began. These behaviors come about through scientific guidelines suggested by the World Health Organization and are confirmed by scientists globally. Data is the greatest tool that we have in the fight against coronavirus. As new data is obtained and understood, we create new solutions that reflect the current best practices.
How do we get that information to/from the public?
Zeemz: Pandemic Patch
is a gamified way for doctors and patients to interact without the need for unnecessary hospital visits. The Zeemz Team is a group of international volunteers who want to build an augmented reality, blockchain game that doubles as a diagnostic tool to reduce the strain on hospitals worldwide.
What it does
Zeemz: Pandemic Patch is an augmented reality, blockchain game that doubles as a diagnostic tool..
For the purpose of COVIDathon, we're developing a blockchain system that rewards verified physicians, who are active answering questions on the AskCo19.com network, with ASK and ZMZLR tokens. The public users, who choose to login, will receive ASK and ZMZLR tokens for asking coronavirus questions. Pandemic Patch teaches behaviors that will help reduce the spread of Coronavirus by preventing unnecessary hospital visits, thus Flattening the Curve, and reducing/preventing strain on hospitals.
After COVIDathon, in Pandemic Patch, players will be introduced to a Coronavirus scenario and given multiple choices. Each choice will trigger a consequence that may/may not Flatten the Curve. When players make decisions that Push the Peak, they are subsequently presented with another set of decisions they can take to Flatten the Curve. Players that take actions to Flatten the Curve, are rewarded with in-game loot. The desired game actions will be customizable by doctors, while our AI (IRIS-med) will customize training based on best data, prior decisions, and doctor recommendations. The game actions will be rewarded with cryptocurrency that can be used to buy/sell/trade in-game items. We're working on the smart contracts behind the game, utilizing the latest coronavirus information from
AskCo19
, developing the Zeemz Quest Maker module for doctors to create augmented reality actions the patients can take. In the near future, we’ll model those actions with
IRIS-med
, the AI running ZEEMZ Underwater Laboratories (the reward system controller).
Pandemic Patch Walkthrough - 2 Minute
Pandemic Patch Walkthrough - 5 minute
How we built it
HTML, CSS, JS, React, Ethereum (Solidity), Firebase, Infura, Web3, love, coffee, Zoom, Github, Discord, Google Drive, Slack, Flow (Cadence)
Intended Initial Flow of Pandemic Patch website
Sign up
a. Patient
b. Physician
Patient AskCo19 Island Map - default Patient Home
a. Hospital - connects to IRIS-med, relays patient quest status to AskCo19 AI
b. Pharmacy / Stores - issuing prescriptions across borders is an interesting issue, we haven’t solved yet; so, use caution while visiting stores
c. Grocery - order your groceries online; play health games and win tokens that can be redeemed for groceries
d. Park - stretch your legs, learn about nature (plants and animals), relax with virtual friends during “movie night at the park”
e. Energy Station - Gas, electric, human energy boosts, learn about alternative energy and level up; get daily Kitty Vortex energy boost (CryptoKitties integration)
Physician AskCo19 Island Map - default AskCo19 Island Hospital (aka AI Hospital)
a. Office - connects to IRIS-med (Zeemz AI), relays doctor quest status to AskCo19 AI
b. Exam rooms - tokenized telemedicine to reward doctors & patients for their time & data
c. Personal Notes - encrypted notepad for doctors to keep their findings before they’re ready to share to IRIS-med
d. Emergency - report an emergency to local emergency services
Build Notes:
Zeemz: Pandemic Patch is a WIP that is not ready for deployment. That said, significant pieces of the Pandemic Patch puzzle have already been assembled. They are located in the Github repo (see below) for anyone to use. Finally, we're working on the first scenarios for agent-based decision trees where the patient's must decide to wear face mask, observe social distancing, or wash their hands. These initial scenarios will act as models for the design of the Zeemz: Quest Maker module where doctors will be able to interface with their own AI, create tasks and task series, and examine AI findings and patient quest results.
In Zeemz: Pandemic Patch, players earn cryptocurrency while teaching & learning about Coronavirus. New players may not know what to do with their newly earned cryptocurrency. In Zeemz: Pandemic Patch, players that click on the Vault icon will be taken to the DeFi section of the Zeemz game. In the Vault, they'll be able to learn about traditional banking as well as banking alternatives like Bitcoin. We're interested in integrating with AAVE protocol to provide a testnet learning experience for our players to go on DeFi quests where they'll earn mainnet tokens (ASK,
ZMZLR
, and
ZMZB
). After playing Zeemz, players can make better decisions in how to use AAVE or other defi solutions.
Build Links
Zeemz: Pandemic Patch github
ZPP
integration AskCo19.com
IRIS-med
IRIS AI medical component
Zeemz Core
Solidity contracts
Zeemz Announcement github
Challenges we ran into
Zeemz: Pandemic Patch is a fledgling project with ambitious goals and an international team of volunteers. We faced difficulties coordinating meetings around international time zones and varied work schedules. We also faced challenges reducing the larger game system,
Zeemz: The Versipisces Secret
, into a faucet wireframe and a hospital RPG
Zeemz: Pandemic Patch
. Learning to articulate the elevator pitch helped with pin-pointing the elements the faucet needed. We also had issues with the ABIs not functioning as expected. We also ran into some issues testing AAVE and were unable to get the testnet to function (couldn't get passed the load screen) with our equipment.
Accomplishments that we're proud of
The Zeemz Team is proud of participating in a global effort to address the CoVID-19 crisis. While the Lockdowns pulled us from our normal routines, we’ve met and brainstormed with amazing, talented people with their own visions, and desires for a more prepared future. With an international team of experts, we've converted a privately developed pet project into an open source project.
What we learned
The world is ready for augmented games that teach critical thinking in disaster situations. And, the economic crisis has shown that people are ready for online ways of learning skills and earning incomes.
What's next for Pandemic Patch - Augmented Reality Game
Zeemz Team is working on a revolutionary project to fully gamify life.
Imagine receiving completion certificates from schools by fulfilling class requirements through game play. The long term goal is to gamify learning, create opportunities for the students to make decisions, learn from the consequences, while also teaching them about digital assets and financial management.
[ ] The game will look into adapting the scenarios to culturally specific environments in order to create relatable scenarios for players all over the world. This will increase complexity, but also real life accuracy of the game's predictive power.
[ ] Connect the game to the blockchains it will run on and integrate with: Ethereum (game logic, faucet tokens (ASK, ZMZLR, ZMZB)), Flow (Zeemz Characters and Resources), Singularity AI (AI Marketplace)
[ ] Integrate other blockchain games (CryptoKitties, CryptoZombies, Decentraland, Sandbox)
[ ] Integrate AAVE protocol for lending/borrowing DeFi Quests
[ ] Integrate other simulations (school, government, shopping)
[ ] Create new simulations gathered from data collected in the Quests
[ ] Integrate AR peripherals to collect patient actions
[ ] Integrate AR assets for player interactions (ex. the view from Zeemz: Space Observatory
https://go.echoar.xyz/ihm4
)
[ ] Connect the game to IRIS-med the AI we plan on building with SingularityNET’s AI developer’s platform
[ ] Deck out the expansion pack Zeemz: After Lockdown
[ ] Use 20% of in-game fees to help
RESQ
plant trees to prevent the spread of other viruses as result from loss of wildlife habitat. These locations will become Zeemz Agroforests where Zeemz players can unlock quests about the natural habitat, exercises, therapy, meditation, and climate positive actions.
Built With
coffee
css
discord
ethereum-(solidity)
firebase
flow
fontawesome
github
google-drive
html
infura
javascript
love
react
slack
web3
zoom
Try it out
www.zeemz.xyz
github.com
github.com
github.com
github.com
github.com
github.com
discord.gg | Pandemic Patch - Augmented Reality Game | Stop Hospital Congestion & Flatten the Curve by Playing Pandemic Patch | ['Monique Finley', 'srihari kapu', 'Edgard Jan Angsinco', 'Grace K', 'Alec Balasescu, Ph.D.', 'Pradhumna Pancholi', 'Nauris Dorbe', 'aradhana chaturvedi', 'Raghu Ramaiah', 'Rachel J. Salomonsen', 'Brahma Sen', 'Sarah Dyson Ph.D.'] | [] | ['coffee', 'css', 'discord', 'ethereum-(solidity)', 'firebase', 'flow', 'fontawesome', 'github', 'google-drive', 'html', 'infura', 'javascript', 'love', 'react', 'slack', 'web3', 'zoom'] | 108 |
10,123 | https://devpost.com/software/all-screens | All Screens - Overall
All Screens - Teacher View
All Screens - All Screen View
All Screens - Virtual Tutor Multi-Language Subject Specific Question and Answer Voice
All Screens - Virtual Tutor Multi-Language Subject Specific Question and Answer Text
All Screens - Virtual Tutor Chit Chat
All Screens - Face Detection
Inspiration
Because of the COVID-19 outbreak, our institution has moved to online teaching for a few months and now online teaching becomes the worldwide hottest topic for all schools!
To be honest, none of the online teaching solutions meet the real need for running online lab sessions. All existing online teaching solutions are just for online-meeting or one direction broadcast! Teachers are 100% no way to know your students are really working on their exercise at home or they are just open the online-meeting apps, and then doing other stuff!
On the other hand, most of the students are not willing to ask questions during an online class. The main difference between online class and face-to-face class is there is lack of interaction. Without classmates, buddies, or young students feel bored and alone then they do not join the online class!
What it does
1.View and Capture All student Screens
Once teacher clicks on the “Generate 3 hours Screen Sharing Tickets”, all virtual tutors (Amazon Sumerian host) will ask students to share their screen to teacher at the same time, then teacher can view all students' screens. In fact, teacher can send the instruction to a virtual tutor and it will talk to all students at the same time. If teacher clicks on the individual student screen, it will enlarge the student screen, and teacher can send a private message to that student.
** This is a very important feature as now teacher can have an overview of the whole class and know which student is really working on their exercise his own. As a result, our online class attendance is dropped as students cannot just open the online-meeting apps and go way or doing something else. However, students who attend the class are sure they are really learning something at home! **
Teacher View from one of our lab class demo
All Screens - Share Sharing and Virtual Tutor Class communications demo
Explain how to use it without the voice from Sumerian demo
2.Virtual Tutor Multi-Language Subject Specific Question and Answer
Teacher response the question from students:
teacher just need to upload their lecture notes to Amazon S3 bucket and create an index in Amazon Kendra - Highly accurate enterprise search service powered by machine learning, then Virtual Tutor can answer subject related question from all students with the brain from Amazon Kendra.
Students ask a question:
Students can ask English questions to the Virtual Tutor with Mic. If they want to ask the non-English questions, students can type in the question and click “Ask” button.
All Screens - Amazon Kendra as Brain Demo
Amazon Kendra answering 3 questions in different languages:
What is web application?
ORMとは何ですか？(What is ORM?)
什麼是面向對象? (What is object oriented?)
3.Virtual Tutor Chit Chat
Student talks anything with Virtual Tutor and she will show different gestures based on her answer. Students like to play game and have fun, so a bit of gamification element is good for any class!
** All Screens - Chit Chat (Flirt with the Virtual Tutor!) Demo **
Demo conversation:
I am sleepy
do I look good
I'm so lonely
I love you
わたしは、あなたを愛しています
je t'aime
4.Work alone mode
In some cases, we have to do an online quiz or test. Capturing student’s screen is not enough as they might find someone and work together. Therefore, all screens support Webcam Face detection.
privacy of Face detection:
we do not upload the student image to AWS and the face detection done inside the student’s browser.
All Screens - Webcam Face Detection Demo
How we built it
Overall System Architecture
1.View All student Screens
Sending 3 hours ticket to students:
uses Cognito User Pool with 2 user groups – teachers and students. By default, the “students” group has granted the IAM permission to upload screen capture image to Amazon S3 bucket, but it cannot limit the number or the valid upload time easily, so the system uses a ticket to control when students can share screen.
Sumerian generates the speech for the host:
uses AWS AppSync to connect all teachers and students together in real-time and the communication between Amplify React Apps and Sumerian Host is just using “window.postMessage”. Logic is moved to React but not the state machine of Sumerian host, which is the main difference from Lab Monitor, and we can version control it easily. Once Sumerian host receives the message, Amazon Polly generates the speech for the host.
2.Virtual Tutor Multi-Language Subject Specific Question and Answer
For the voice input from students:
when a student holds the mic icon, Amplify React Apps calls getUserMedia API to get the voice stream. Amazon Transcribe converts voice stream into text message, and text message sends to Amazon Lex Chatbot. if the Intent name is empty when the question can match defined intent and return from error handling, it means that is not a chit chat. We know student is asking a subject related question.
If teacher sets the Amazon Kendra Index for his class, the question sends to API gateway REST API based by AWS Lambda. It checks the answer from the Amazon Kendra Index which indexed the notes of this subject and response the answer to Amplify React.
AWS JavaScript client SDK does not support querying Amazon Kendra directly, so we have to add a REST API to proxy the query. Sumerian host receives the answer from “window.postMessage”, it converts the text to speech with Amazon Polly.
For text input：
the flow is similar to the voice input flow but the question from the student first sends to Amazon Comprehend which detects the dominant language of student question and translates it into English with Amazon Translate. The English text message sends to Amazon Lex Chatbot and response message shares the same flow as voice input.
3. Virtual Tutor Chit Chat
Chit Chat:
the difference is that Amazon Lex Chatbot will return an Intent Name and a response message. Actually, we added 86 common Intents for small talk, so this Amazon Lex Chatbot can do a chit chat. The response message will send to Amazon Comprehend for sentiment. According to the sentiment, Sumerian host will show different gestures. If the question is not in English, the response message translates back to the question’s language with Amazon Translate and display the answer in English and the question’s language. The English response message sends to Sumerian host, and the host specks out the answer with Amazon Polly.
4.Work alone mode
Face detection:
captures webcam images every second. We use face-api.js which provides face detection API and Machine Learning model for TensorFlow.js. After the face detection, face highlighted image sends to Sumerian and it displays in the projector of the virtual lab. When there is more than one face, React sends a warning message send to Sumerian host, and the host specks out the answer with Amazon Polly.
Challenges we ran into
1.Node.js React Library conflicts.
2.Source Version of Amazon Sumerian.
Accomplishments that we're proud of
By combining the power of each AWS Services, now teacher can have a good view to know each student what they are doing during the online course.
The initial version is already being applied to real online lab lessons in Hong Kong Institute of Vocational Education (Lee Wai Lee), and improved the learning and marking efficiency.
What we learned
The integration with multiple AWS AI Services.
The integration of Amazon Lex, Amazon Comprehend, Amazon Sumerian, Amazon Translate and Amazon Polly for chit chat.
What's next for All Screens
Try to use Amazon Chime SDK to make a better screen sharing view with WebRTC.
Built With
amazon-comprehend
amazon-kendra
amazon-lex
amazon-polly
amazon-sumerian
amazon-transcribe
amazon-translate
amazon-web-services
appsync
aws-amplify
Try it out
github.com | All Screens | All existing online teaching solutions are just for online meeting or one direction broadcast! Teachers are 100% no way to know your students are really working on their exercise at home or not! | ['Mei Ching Pearly Jean Law', 'Pak Yin Lam', 'Mike Ng', 'Kitson Cheung', 'Wong Chun Yin,Cyrus (黃俊彥)', 'CHIU CHING WONG'] | [] | ['amazon-comprehend', 'amazon-kendra', 'amazon-lex', 'amazon-polly', 'amazon-sumerian', 'amazon-transcribe', 'amazon-translate', 'amazon-web-services', 'appsync', 'aws-amplify'] | 109 |
10,123 | https://devpost.com/software/callouts-zap4k9 | A quarantine shows everyone how to leave home (Facebook)
AI chatbot call demo
5 phones Ringing up at the same time.
All students receive a call at once to check who are absent from the lecture class.
High Level System Architecture
Callouts - how to force quarantines to stay at home.
CalloutStateMachine Workflow
“Calling out” contact flow
Contact Flow Flow Chart
Inspiration
Many countries try to use a hand band connected with a mobile to track quarantines. However, quarantines take off the hand band and leave the mobile at home, then they go out and potentially, infect others.
The healthy department calls them randomly and try to force them to stay home. However, to call ten thousand of quarantines is impossible! Therefore, we built a scalable AI call engine to call all quarantines to ensure they are all staying at home!
Also, due to COVID-19, although everyone needs to keep the distance from each other, we are still eager to know our friends' and families' health status and stay connected. However, that is difficult to keep tracking elderly or isolated people especially they are located in different cities or countries.
It is a tough situation for our institution when there is some critical and urgent announcement that needs to be provided to students (e.g. cancel class, all students please stay at home). Phone call is an effective way, but how can an educator make an urgent call to all students (e.g. 500 students)?
So we developed Callouts a simple and scalable way using Amazon Connect and Amazon Lex, to adapt to the recent quarantine in Hong Kong and the massive outbound call to all students.
How to enforce the quarantines to stay home?
For those quarantines have a fixed-line phone at home, the system can call to their home randomly or on schedule to ask them a simple question to ensure they are at home.
For the case no fixed phone and uses a hand band or strap connected with GPS mobile phone i.e. Hong Kong, the system calls quarantines can ensure they cannot take off the hand band and leave the mobile phone at home and go to the street.
For the case with just smartphone, the workflow can send quarantines an SMS and call them to answer the content from SMS. They cannot leave the phone at home and go out.
For the case without smartphone, healthy departments have to set a fix low-cost phone at their home as giving a smartphone to them there are 2 main problems: they don’t know how to use it at all and some quarantines break the free smartphone shortly.
What it does
Callouts is an outbound call engine enables healthy department to call all quarantines immediately, in which consists of 3 parts :
CalloutStateMachine: Keep track on the call whether successful or not
Callout with Amazon Connect: To make individual call automatically
Amazon Lex CalloutBot: To capture single word answer
Users only need to upload an excel file to the cloud or submit a JSON message to Amazon SQS, then all quarantines or students will receive a call immediately!
Quarantines have to answer the phone call with a simple answer, then the government can make sure they stay at home.
Ring up together Demo
Uploads an excel file to S3 Bucket and a class of students receive a call at the same time.
How We built it
Callouts is a solution build with a Serverless Application Model on AWS (Amazon Web Services), which saved a lot of resources. Below is the simplified system Architecture.
When there is a user uploads an excel file (for a call task) into an Excel storage bucket, the excel file will then be converted into another data format (JSON message) and being queue up using an AWS queuing service SQS. Each item of the queue will work for an individual call job data and cached in another storage bucket. Finally, the calling tasking will be started by the CalloutStateMachine (it also keeps track of whether a call is successful or not), so that call task will be executed one by one using AWS Connect to make phone call.
And per each phone call, it is done by an Amazon Lex Chatbot. Just like the following conversation Demo video.
The call job proceeds with dynamic parallelism. For more information, see New – Step Functions Support for Dynamic Parallelism.
The step “Get Callout job” is a Lambda function to get the call job JSON from ExcelCallTaskBucket. The step “Callout with AWS Connect” sends the message to AsynCalloutQueue and waits for the callback with task token. For more information, see Call Amazon SQS with Step Functions.
“Calling out” contact flow
Although the contact flow may seem complicated, the logic is straightforward.
“
Calling out” architecture
The following diagram illustrates the “Calling out” architecture.
Challenges We ran into
One of the most challenging parts is to create the workflow to keep track on which phone number is able to call or not, and all the process is being done in parallel to keep the callout process smooth and no one miss out, and at the end to have a report summarising the situation.
So the callout contact flow is quite complicated, then a number of cases happening at the same time.
Accomplishments that I'm proud of
Callouts is a simple solution for an organization to keep track of all quarantines or students in a consistent, and scalable way. This has been tested in our institution and we believe it will be applicable to either personal, caregivers and businesses.
What We learned
We gained a lot of experience in handling quite a number of callback cases. In which we have to use some cloud services which allow us to drag and drop different states and steps so that we can visualize the whole workflow. Instead of just looking at source codes, is difficult for our team to be on the same page.
What's next for Callouts
Due to the recent health quarantine in Hong Kong, for the people coming back from foreign countries need to conduct compulsory quarantine and wear electronic hand strap for 14 days to make sure they didn't go out.
Built With
amazon-connect
amazon-lex
serverless
Try it out
github.com | Force all quarantines to #StayAtHome with massive calls | Governments use a hand band connected with a mobile to track quarantines. However, quarantines take off the hand band and leave the mobile at home, then they go out and potentially, infect others. | ['Wong Chun Yin,Cyrus (黃俊彥)', 'Pui Kwan HO', 'Kitson Cheung', 'Mike Ng', 'Wai Pong Cheung', 'Pak Yin Lam', 'Mei Ching Pearly Jean Law'] | [] | ['amazon-connect', 'amazon-lex', 'serverless'] | 110 |
10,123 | https://devpost.com/software/core-health | The icon that I produced for Core Health.
A small portion of the many files required to make for the different combinations of scores, diet, workout, and body part.
Inspiration
Whenever I talk to my friends, I hear that they have nothing to do at home, and that they are constantly sore, and at fitness levels worse than before the pandemic started. That's what inspired me to create Core Health.
What it does
Core Health provides users with a personalized diet and workout plan based on a quiz that they take on specific body parts, such as their abdomens, chest, heart, legs, and arms. This quiz is only 5 questions, and is uncomplicated. After taking the quiz, users get a score. Based on that score, users get a specific diet and workout plan for different body parts. An additional feature in the workout plans includes an "archive", which allows users to click the name of a workout and see what it is, if they are unsure of it.
How I built it
With this website, I decided to simply use pure HTML, CSS, and JavaScript. The JavaScript was used to make the cH (core health) quiz. The HTML and CSS, obviously, was for the UI. I had several HTML pages for the different workout and diet plans, and just one CSS stylesheet for all of the pages.
Challenges I ran into
During the creation of my project, I was unhappy with the look of the site. I believed that it looked very plain, so I decided to use many other creative HTML features, such as the typewriter feature for the title, in order to seem more
attractive to users visiting the page for the first time.
Accomplishments that I'm proud of
I'm proud of the many unique HTML and CSS features that I incorporated into my site, as they make it look more professional, and possibly better than many of the eHealth sites we see today. Additionally, many of the recommended diets are based on lots of research that I did with good foods from each food group for different body parts from physical health experts, professional body-builders, and dieticians.
What I learned
I learned a lot about HTML, CSS, JavaScript, and website making in general. I am a beginner in the web development aspect of computer science, and I learned about many features in these languages that I will definitely use in my future projects.
What's next for Core Health
I am planning to also learn Swift, so that I can launch CoreHealth onto the iOS app store. This would make the user-experience on the phone more enjoyable.
Built With
css
html
javascript
Try it out
vardaansinha.github.io | Core Health | With this website, you can easily assess your health on many different levels. With a personalized diet and workout based off of a simple quiz, you can keep up your physical health during these times! | ['Vardaan Sinha'] | [] | ['css', 'html', 'javascript'] | 111 |
10,123 | https://devpost.com/software/nocov20-aor51v | noCov20
Find and share location updates as the world reopens. Live at:
https://nocov20.web.app/
Inspiration
This image describes the current state of our world:
We are nowhere near the end of the pandemic, yet businesses must reopen to survive. How can we balance both our economy and health? noCov20 is the solution.
What it does
noCov20 is an easy-to-use platform where people of all ages can search and share their experiences at different locations. This allows people to identify places to avoid, what to keep in mind before coming, learn from the experiences of others, and continue social distancing while the world resumes.
Add your experiences on the live web app:
https://nocov20.web.app/
Behind-the-scene features:
Authentication
Token Expiration
Hashed and salted security
Lazy loading
Tech Stack
✰ FRONTEND
REACT: all UI, lazy-load for optimized performance, dynamic page changes without reloads
HTML/CSS: basics and styling
✰ BACKEND
NODE.JS: Server
EXPRESS.JS: Framework for Node.js
MONGODB: persistent data storage
FIREBASE: hosts front-end
HEROKU: hosts back-end
Challenges I Overcame & Accomplishments that I'm proud of
This is my very first MERN app. I taught myself everything through reading documentation and online resources!
What's next for noCov20
This is an open-source project. I will continue to market and launch the MVP version and will update it with more features.
Built With
css3
express.js
firebase
heroku
html5
mongodb
node.js
npm
openstreetmap
react
Try it out
nocov20.web.app
github.com | noCov20 (https://nocov20.web.app) | Find and share location updates as the world reopens. | ['Tran Le'] | [] | ['css3', 'express.js', 'firebase', 'heroku', 'html5', 'mongodb', 'node.js', 'npm', 'openstreetmap', 'react'] | 112 |
10,123 | https://devpost.com/software/remote-elderly-home-care-via-privacy-preserving-surveillance-6etr18 | Privacy preserving face detection at home
Plug and Play AI Device Discovery
Ambianic Home Page
Person Detection Indoors
Person Detection Outdoors
Inspiration
COVID19 isolated at home many of us, including our elderly parents and grandparents. Not being able to check on them regularly elevates the risks that they are exposed to such as falls, gas leaks, flooding, fire and others.
What it does
Ambianic.ai is an end-to-end Open Source Ambient Intelligence project that removes the stigma associated with surveillance systems by implementing privacy preserving algorithms in three critical layers:
Peer-to-Peer Remote access
Local device AI inference and training
Local data storage
Ambianic.ai observes a target environment and alerts users for events of interest. Data us only available to homeowners and their family. User data is never sent to any third party cloud servers.
Here is a blog post that goes into the reasons why we started this project:
https://blog.ambianic.ai/2020/02/05/pnp.html
And here is a technical deep dive article published in WebRTCHacks. It clarifies that it is absolutely possible to build a privacy preserving surveillance system, despite popular cloud vendors making us believe that all user data belongs safely on their cloud servers:
https://webrtchacks.com/private-home-surveillance-with-the-webrtc-datachannel/
How we built it
Ambianic.ai has 3 main components:
Ambianic.ai Edge: a Python application designed to run on an IoT Edge device such as a Raspberry Pi or a NUC. It attaches to video cameras and other sensors to gather input. It then runs inference pipelines using AI models that detect events of interest such as objects, people and other triggers.
Ambianic.ai UI: A Progressive Web App written in Javascript using Vue.js and other front end frameworks to deliver an intuitive timeline of events to the end user.
Ambianic.ai PnP: A plug-and-play framework that allows Ambianic UI and Ambianic Edge to discover each other seamlessly and communicate over secure peer-to-peer protocol using WebRTC APIs.
Challenges we ran into
Challenges include selecting high performance, high accuracy and low latency AI models to detect events of interest on resource constraint edge devices.
Another challenge is taking into account user local data to fine tune AI models. Pre-trained models can perform reasonably well, but they can be improved with privacy preserving federated learning on unique new local data.
Accomplishments that we're proud of
Ambianic.ai has been in public Beta for several weeks helping a number of users in their daily lives. Some users report success in keeping an eye on their elderly family members:
https://twitter.com/mchapman671/status/1230931722650423299
What we learned
Although the project sets ambitious goals, there seem to be sufficient enabling Open Source frameworks and community momentum to drive the ongoing success.
What's next for Remote Elderly Home Care via Privacy Preserving Surveillance
We need to work on these major areas:
Recruit volunteers in the home care community to test the system and provide feedback
Select more models to address open use cases such as fall detection, gas leaks and others
Work on implementing Federated Learning infrastructure to fine tune initial pre-trained models.
Built With
javascript
pwa
python
raspberry-pi
tensorflow
webrtc
Try it out
docs.ambianic.ai | Remote Elderly Home Care via Privacy Preserving Surveillance | COVID19 isolated at home many of us, including our elderly family members. Left unattended they are prone to risks such as falls, gas leaks, flooding, fire and others. | ['Yana Vasileva', 'Björn Kristensson Alfsson', 'Ivelin Ivanov'] | [] | ['javascript', 'pwa', 'python', 'raspberry-pi', 'tensorflow', 'webrtc'] | 113 |
10,123 | https://devpost.com/software/activity-pathway-m6a3tc | Home page of the app
Fitness tab
Grocery Shopping Tab
Traveling Tab
Schedule Tab
Cooking Tab
Me traveling to Hawaii's Green sand beach
Me traveling to France's Eiffel Tower
Inspiration
My friend had a hard time staying fit and eating healthy during the past few months. My friends parents travel every time my friend had a break in school. Due to COVID-19, they can't travel or visit any places. My friends parents also have a hard time trying to find a store that allows you to buy groceries and delivers in at their house. This is what inspired me to make this app.
What it does
Activity Pathway is an app that several activities that it can help you with such as helping you staying fit daily, eating a healthy appetite daily, help you remember all the activities you need to do, help you travel across the globe, help you buy your groceries, and help you track your order after buying groceries from the app.
How I built it
I used html and css to code the app, but also used my ideas and an online app maker to create my app.
Challenges I ran into
The challenges I ran through was trying to create a camera feature, where when you use Activity Pathway to travel virtually, you can take a picture of the places you went to keep in a gallery of photos. I realized that there wasn't much time to code this feature and that it was too complicated, so I left it for something to add to my app in the future.
Accomplishments that I'm proud of
I'm proud of the grocery option thats in Activity Pathway and the traveling option. I feel proud because mainly love to buy groceries and travel to different parts of the globe. Due to coronavirus, people have to stay home and even going to a grocery store has gotten dangerous. I feel proud of my app since it helps people go to places that they always dreamed of going while they are at home due to coronavirus. The grocery option helps people buy their groceries in order for them to stay safe and not go outside during the environment.
What I learned
I mainly had forgotten most of how to code in html and css, but after this hackathon, my skills in html and css have grown far beyond what they were before the hackathon started.
What's next for Activity Pathway
What next for Activity Pathway is adding the camera feature so that people can take photos and save them in my app. What also is next is that people can insert a photo of themselves or of their family and my app would identify all the people in the photo inserted and my app would add the photo of the people from the inserted photo so that it looks like the photos you take while traveling were actually taken and that your entire family traveled to that place. Another thing that is next for Activity Pathway is that I would like to add a education option where children could learn different subjects. The education option can be for toddlers to high schoolers or even college students that need to refresh some of the skills they learned in the past. Also, if I had more time, I would have made my own live fitness and cooking videos.
Built With
ar/vr
css3
html5 | Activity Pathway | Activity Pathway is an app that can help you do several different activities to stay active while at home. | ['Tanvi Waghela'] | [] | ['ar/vr', 'css3', 'html5'] | 114 |
10,123 | https://devpost.com/software/sentimeant-l19nrk | Demo of SentiMeant
Logo
Welcome to SentiMeant!
SentiMeant allows users to perform strong sentiment analysis on a given text for free. Simply copy and paste a text into sentiment to get information on that text's political bias, overall mood and more.
Built With
flask
html
keras
python
Try it out
sentimeant.herokuapp.com | SentiMeant | Uses NLP to perform inferences on a given text | ['Adam Eubanks'] | [] | ['flask', 'html', 'keras', 'python'] | 115 |
10,123 | https://devpost.com/software/panion | Inside the app.
Quick Start Community Guide
Inspiration
When I moved from New York City to Malmö, Sweden 6 years ago, I quickly realised that making friends in this new part of the globe would be very difficult. As an expat in the country that continuously ranked number 1 as the hardest place to make new friends, I struggled to feel at home, but I soon realised I wasn’t the only one! So I started to build a prototype for a tool that would help others feel more connected in Sweden. The idea gave birth to Panion, a social meeting place for like-minded people with common interests.
What it does
We have successfully built a data-driven social app that connects people through common interests. It is our mission to solve the loneliness epidemic by connecting like-minded people for shared activities. We are now using our experience in connecting individuals to build
Panion Communities
, a community-engagement platform for purpose-driven community builders.
Panion Communities supports organizations in encouraging and facilitating social interactions and activities amongst its members. It’s the virtual water cooler, the digital coffee corner, that allows for meaningful informal interactions and moments of togetherness that build trust and engagement, especially in times of “social distancing.”
With Panion, users create profiles that are tagged with their interests and values. They can use filters and our algorithm to find people who truly get them. This can be done by joining an interest-based public community, or a closed community run by a curated group of community managers.
Our Team
We have an international staff based in 7 different countries. In total, we speak 14 different languages. The majority of us are women. One thing we have in common is that all of us have experienced what it's like to move somewhere new and confront the challenging of building a new community and meaningful friendships. While we all work in tech now, we have diverse educational backgrounds in anthropology, international affairs, computer science, design, photography, education, and media and communications.
Insights
Friendship is a highly complex concept. It is an amorphous term and filling the need for friendship means thinking about its wide range of cultural and personal definitions. For some, friendship is about deep conversations and sharing personal information, while for others it may be based on hobbies and shared interests. It's a challenge to encompass all of these wants and needs and difficult to determine which one we can focus on.
How we built it
Our mobile application was built using React Native to ensure we could ship code quickly as we reuse most of our code across both iOS and Android and still have the ability to access native layers whenever necessary.
We've ensured the application is scalable and so we do not have to worry about server downtime as we grow. We began by setting up an auto-scaling load balanced architecture. We have configured our load balancer to determine if the backend API is getting too many requests and then automatically start a new server to cater to those requests to ensure limited downtime.
Our backend is built in Python, Django, with a REST Framework, and to ensure that users can make meaningful connections, we have devised an algorithm that first analyses user interactions using NLP and then finds attributes that lead to more positive interactions. Using the output from this algorithm, we have created a second algorithm that predicts the likelihood of a positive interaction between two people who haven't yet interacted.
Challenges we ran into
The original concept for Panion was to encourage more people to meet each other in person for shared conversations and activities, however, with the recent emergence of COVID-19, that clearly had to be revised. We have chosen to focus on our community-building feature to address the needs of large virtual networks and those building global interest-based and purpose-driven communities. One of our current challenges is economic uncertainty. We are intensifying our efforts to raise money from mental health, e-health, and impact investors as well as to apply for government-based grants, to ensure we have the required financial resources to keep our engines running and to continue to grow. As we are a two-sided marketplace, we need to grow our user base quickly. Otherwise, we run the risk that our users will not find the genuine connections they are looking for - and therefore will not return to the app. Our success is highly dependent on having the means to optimize our product and scale our marketing efforts.
Accomplishments that we're proud of
During the most challenging months of confinement, we saw a huge increase in use. People were chatting and connecting with new people way more than ever. We witnessed
increases of over 300%
in the number of user conversations occurring on the app.
We're also proud of the
speed and efficiency
with which we pivoted. It took us 10 weeks to move from concept to implementation of our b2b product offering. And we're proud of how our new communities offering has been received by our users. There has been a 49.1% increase in average time spent in app by users since we introduced our updated communities feature, as compared with all other releases
What we learned
On the technical side, we've learned a lot about the importance of process to building a quality product - that how we do things matters, and often influences the end results. We have improved our agility through stronger communication within our wider team, feedback loops and more rigorous attention to sprint planning. On the development side, while managing
an application for over a 100,000 users
, we also learned how to manage server clusters as opposed to everything running on a single server. We switched to running a stateless application so we do not have to worry about which server handles the request for a user and hence not having problems when scaling. We made progress in identifying inappropriate images in the platform as well to make sure we don't annoy our users. We managed to setup models using convolutional
neural networks to remove 98.9% of inappropriate images
from our system without users having to flag them for us!
We've also learned that
we are not our users
, and that we have to ensure that we get user feedback at all stages of the process, from initial idea to after implementation, so that we can continue to improve our product.
What's next for Panion
In the near future, we're looking forward to expanding the Communities feature, by adding features that solve our users' problems. This will continue far beyond the Hackathon. These features include community membership fees, which would provide monetization possibilities for both Panion and community managers and a "groups" feature within larger communities. Long-term goals include building the Panion web app and a comprehensive analytics dashboard for managers of Panion communities.
Built With
python
react-native
Try it out
play.google.com | Panion- The Community Engagement App | Creating a world full of meaningful connection by providing a fun, simple, and efficient platform for finding unlikely friendships through common interests and shared values. | ['Ali Farooq', 'Erika Tepler', 'Melanie Aronson'] | [] | ['python', 'react-native'] | 116 |
10,133 | https://devpost.com/software/safetravels-pr429f | SafeTravels Logo
Arduino Hardware Wiring Diagram
Constructed Arduino Hardware Circuit
Mobile App Signup Page
Mobile App Bus Line List Without Filters
Mobile App Seating Chart with Recommendation (Blue)
Mobile App RFID Setup Page
Mask Detection Analysis (High Confidence True)
Mask Detection Analysis (High Confidence False)
Audio Spectrogram for Cough Detection
Admin Website View + Add Bus Lines
Inspiration
Public transportation is a necessity to society. However, with the rapid spread of COVID-19 through crowded areas, especially in lines like city metros and busses, public transportation and travel have taken a massive hit. In fact, since the beginning of the pandemic, it is estimated that usage of public transportation has dropped between 70-80%. We set out to create a project that would not only make public transportation safer and more informed, but also directly reduce the threat of disease transmission through public transportation, thus restoring confidence in safe public transportation.
What it does
SafeTravels improves safety in public transportation by enabling users to see the aggregated risk score associated with each transportation line and optimize their seating to minimize the risk of disease transfer. A unique RFID tag is tied to each user and is used to scan users into a seat and transportation line. By linking previous user history on other transportation rides, we can calculate the overall user risk and subsequently predict the transportation line risk. Based on this data, our software can recommend the safest times to travel. Furthermore, based on seating arrangements and user data, a euclidean based algorithm is utilized to calculate the safest seat to sit in within the transportation vehicle. Video analysis for mask detection and audio analysis for cough detection are also used to contribute to overall risk scores.
How we built it
Mobile App
A mobile app was created with Flutter using the Dart programming language. Users begin by signing up or logging in and linking their RFID tag to their account. Users are able to view public transportation schedules optimized for safety risk analysis. Seat recommendations are given within each ride based on the seat with the lowest disease transfer risk. All user and transportation data is encrypted with industry-level BCrypt protocol and transferred through a secure backend server.
Administrator Website
The administrator website was created with React using HTML/CSS for the user interface and JavaScript for the functionality. Administrators can add transportation lines and times, as well as view existing lines. After inputting the desired parameters, the data is transferred through the server for secure storage and public access.
Arduino Hardware
The Hardware was created with Arduino and programmed in C++. An MFRC522 RFID reader is used to scan user RFID tags. An ESP8266 WiFi module is utilized to cross reference the RFID tag with user IDs to fill seat charts and update risk scores for transportation lines and users. If a user does not scan an RFID tag, an ultrasonic sensor is used to update the attendance without linking the specific user information. Get requests are made with the server to securely communicate data and receive the success status to display as feedback to the user.
Video Analysis (Mask Detection)
Video analysis is conducted at the end of every vehicle route by taking a picture of the inside and running it through a modified Mobile Net network. Our system uses OpenCV and Tensorflow to first use the Res10 net to detect faces and create a bounding box around the face that is then fed into our modified and trained Mobile Net network to output 2 classes, whether something is a mask or not a mask. The number of masks are counted and sent back to the server, which also triggers the recalculating of risks for all users
Audio Analysis (Cough Detection)
We also conduct constant local audio analysis of the bus to detect coughs and count them as another data point into our risk calculation for that ride. Our audio analysis works by splitting each audio sample into windows, conducting STFT or Short Time Fourier Transform on that to create a 2D spectrogram of size 64 x 16. This is then fed into a custom convolutional neural network created with Tensorflow that calculates the probability of a cough (using the sigmoid activator). We pulled audio and trimmed it from Youtube according to the Google AudioSet, by getting audio labeled with cough and audio labeled as speech and background noise as non_cough. We also implemented silence detection using the root mean square of the audio and a threshold to filter out silence and noise. This works in realtime and automatically increments the number on the server for each cough so the data is ready when the server recalculates risk.
Backend Server
The backend was created with Node.js hosted on Amazon Web Services. The backend handles POST and GET requests from the app, hardware, and Raspberry Pi to enable full functionality and integrate each system component with one another for data transfer. All sensitive data is encrypted with BCrypt and stored on Google Firebase.
Risk Calculation
A novel algorithm was developed to predict the risk associated with each transportation line and user. Transportation line risk aggregates each rider’s risk, mask percentage, and the duration multiplied by a standard figure for transmission. User risk uses the number of rides and risk of each ride within the last 14 days. Because transportation line risk and user risk are connection, they create a conditional probability tree (Markov chain) that continually updates with each ride
Optimal Transportation Line and Seat
After the risk is calculated for each transportation line and user, algorithms were developed to pinpoint the optimal line/seat to minimize disease transmission risk. For optimal transportation lines, the lowest risk score for lines within user filters is highlighted. For optimal seat, the euclidean distance between other riders and their associated risk levels is summed for each empty seat, yielding the seat with the optimal score
Challenges we ran into
One challenge that we ran into when doing the audio analysis was generating the correct size of spectrogram for input into the first layer of the neural network as well as experimenting with the correct window size and first layer size to determine the best accuracy. We also ran into problems when connecting our hardware to the server through http requests. Once the RFID tag could be read using the MFRC522 reader, we needed to transfer the tag id to the server to cross reference with the user id. Connecting to a WiFi network, connecting to the server, and sending the request was challenging, but we eventually figured out the libraries to use and timing sequence to successfully send a request and parse the response.
Accomplishments that we're proud of
Within the 24 hour time period, we programmed over 3000 total lines of code and achieved full functionality in all components of the system. We are especially proud that we were able to complete the video/audio analysis for mask and cough detection. We implemented various machine learning models and analysis frameworks in python to analyze images and audio samples. We were also able to find and train the model on large data sets, yielding an accuracy of over 70%, a figure that can definitely increase with a larger data set. Lastly, we are also proud that we were able to integrate 5 distinct components of the system with one another through a central server despite working remotely with one another.
What we learned
One skill we really learned was how to work well as a team despite being apart. We all have experience working together in person at hackathons, but working apart was challenging, especially when we are working on so many distinct components and tying them together. We also learned how to implement machine learning and neural network models for video and audio analysis. While we specifically looked for masks and coughs, we can edit the code and train with different data sets to accomplish other tasks.
What's next for SafeTravels
We hope to touch up on our hardware design, improve our user experience, and strengthen our algorithms to the point where SafeTravels is commercially viable. While the core functionalities are fully functional, we still have work to do until it can be used by the public. However, we feel that SafeTravels can have massive implications in society today, especially during these challenging times. We hope to make an impact with our software and help people who truly need it.
Built With
c++
css
dart
html
javascript
kotlin
objective-c
python
ruby
swift
Try it out
github.com
safetravels.macrotechsolutions.us | SafeTravels | Restore confidence in safe public transportation | ['Sai Vedagiri', 'Gustav Hansen', 'Elias Wambugu', 'Arya Tschand'] | ['Best Hardware Hack presented by Digi-Key'] | ['c++', 'css', 'dart', 'html', 'javascript', 'kotlin', 'objective-c', 'python', 'ruby', 'swift'] | 0 |
10,133 | https://devpost.com/software/quack-the-code | Logo
Desktop App
Commands
Website Home Screen
The duck gives you advice and jokes
Feed the Duck Commits
Inspiration
Rubber duck debugging is used around the world by millions of programmers. As the name suggests, rubber duck debugging refers to debugging your code with the aid of a rubber duck. You describe and explain each step of your code, in detail, to the duck, until you notice the problem that's been causing the unexpected behavior. But what if you don’t have a rubber duck? Have you already heard about the rubber duck debugging and want to try a digital version? Would you like to try rubber duck debugging and want your duck to also have additional functionality? Introducing Quack The Code, your very own digital rubber duck coding companion!
What it does
Quack The Code is a website and desktop productivity app which brings you all the aid of rubber duck debugging. You can explain your code, line by line, to it and it sits patiently listening for you to notice your mistake. If you can’t figure it on your own, it can ask you guided questions when you need help. The application rewards your progress by giving you breadcrumbs whenever you push work to Github, that you can feed to your ducky friend. It also provides you with inspirational quotes, facts, advice, jokes, and coding quizzes on the click of a button or your voice commands. Along with the visual app, we also provide to you smart home speaker plugins so you can get hands free help and support. The list of sample commands can be found on our
website
.
How we built it
Frontend:
The frontend was created using React for the website along with Electron for the Desktop app.
Backend:
The backend was built using JavaScript and Node.js to handle user actions along with text-to-speech and speech-to-text and incorporated directly onto the frontend code for efficient use of resources.
Amazon Skills:
We used the Alexa Developer Console to create the base skill and setup the intents and utterances. From there, we used Node to create the functionality for each intent. We also used AWS S3 to store the custom quack audio file so the skill could access it.
Google Assistant:
We used GCP DialogFlow for the intent creation and conversation flow which is made using Firebase. We also used Google Cloud Functions with Node.js to call external APIs to provide information to the conversation agent.
DevOps:
We used GCP Firebase to host the website along with Google Cloud Storage to store the desktop app builds and connect it to the website for users to download. The desktop app was built and deployed using electron-builder.
Challenges we ran into
We ran into some challenges with the overall styling of the website and app since we are mainly backend developers. We also ran into some obstacles with using audio files with React since this was our first time doing that.
Accomplishments that we're proud of
This was our first time that we created a cross environment desktop app using Electron. We learnt a lot about operating system processes along with browser and application sessions. We also learnt more about cross platform linking. We also created all assets by ourselves including all images and sound effects.
What we learned
We learnt a lot about developing Amazon and Google smart home activities and this was the first time we made one ourselves. We also learnt about using sprite animations and audio in React.
What's next for Quack The Code
In the future, we plan to expand Quack The Code to different animals? We also plan to connect it to other tasks besides coding, such work/school websites like online classes. We would like to make it a more useful productivity app for computer science students that would reward things like finishing homework.
Built With
amazon-alexa
amazon-web-services
dialogflow
electron
firebase
gcp
google-assistant
google-cloud
javascript
node.js
react
Try it out
github.com
www.quack-the-code.tech
quack-the-code.web.app
assistant.google.com | Quack The Code | Your very own digital rubber duck coding companion! | ['Reshmi Ranjith', 'Saloni S', 'Megan Tran', 'Vincent Vu'] | ['Best use of Google Cloud'] | ['amazon-alexa', 'amazon-web-services', 'dialogflow', 'electron', 'firebase', 'gcp', 'google-assistant', 'google-cloud', 'javascript', 'node.js', 'react'] | 1 |
10,133 | https://devpost.com/software/hackasticker | GIF
A hackasticker generated sticker for this hackathon.
GIF
Now that's a hackathon I want to attend!
GIF
The stickers don't even have to make sense...
The loss created by the generator and discriminator during training.
A before and after of some of the images we fed the GAN and an output image.
This is the generator architecture we used in the DCGAN.
MAKE YOUR OWN STICKERS AT
hackasticker.space
which is also our domain.com submission! The project is live!
Inspiration
One of our favorite parts about participating in MLH hackathons is the 'I demoed' stickers you receive for participating (I even have a budding collection on my water bottle). So we thought to ourselves, what if instead of participating in a bunch of hackathons just for the stickers, that we just had machine learning, and a GAN (generative adversarial network) do it for us? Using some of the hottest new tech in machine learning, we are proud to introduce you to
hackasticker
, generate your own 'I demoed' stickers with a single click!
What it does
hackasticker
pulls from a large library of images we generated using a GAN (generative adversarial network) that we built to generate new hackathon logos, having fed it with as many stickers and hacker-related images as we could. When you go to the website, all you need to do is enter the name of the event you wish to generate a sticker for, and a randomly selected image paired with a random background and font will be selected and your sticker will be assembled and returned to you to keep forever.
How we built it
Our first step in building hackasticker was to create a GAN (generative adversarial network) using some starter code from
PyTorch
and a optimized Google Colab notebook. This kind of machine learning algorithm trains off of the hundreds of images we fed it and uses a 'generator' and a 'discriminator' function to produce better images as the training epochs go on. Once the model was trained, we could generate as many new and unique images as we wanted to, which we stored and used in sticker creation. The Colab notebook we used can be found in the Github repo in the notebook folder.
The type of GAN we're using is called a DCGAN. DCGAN stands for Deep Convolutional Generative Adversarial Network. This is a variation of GAN which is known to perform pretty well. We first take random noise and feed it into the Generator. The generator then produces a 64x64 image. The discriminator then takes this image and checks how good the images are from the database. The discriminator helps tune the weights to the generator so it will eventually generate good images. Essentially, it's like a game of tug war but the goal is to establish a balance where the discriminator starts seeing images it think it has seen from the dataset.
After we generated our images, we up-scaled them using the Super Resolution API on deepai.org and stored them locally. Then, we created a Flask-based Python web server hosted on Heroku to act as a front end to our sticker assembling algorithm that gets called when you use the site. The front end was built in html/css and handles user text input to generate a sticker.
Challenges we ran into
-We initially tried to use Google Storage or Firebase to house our images, but it was too complicated, and we couldn't get Heroku's modified file system to handle the local storage required for the project.
-The first GAN model we used sucked up too much RAM as the number of epochs increased which crashed our instance of Google Colab, so we had to redo the entire machine learning component of the project.
Accomplishments that we're proud of
-Implementing machine learning into a hackathon project for the first time!
-Dealing with the large volume (thousands) of images we had to handle in the creation of the machine learning generated images
What we learned
-Tensorflow and PyTorch is really scary
-Making a GAN in one night is somewhat doable!
What's next for hackasticker
-Creating other hackathon related items with machine learning, and improving the quality of generated images by feeding it more images and increasing the amount of epochs it trains for.
Built With
colab
css3
flask
gan
gunicorn
heroku
html5
keras
machine-learning
numpy
python
tensorflow
Try it out
github.com
hackasticker.space
hackasticker.herokuapp.com | hackasticker | Never let your desire for more 'I demoed' stickers be sated! | ['Corey Du Val', 'Drew Ehrlich', 'Farhan Saeed'] | ['Best Domain Name from Domain.com'] | ['colab', 'css3', 'flask', 'gan', 'gunicorn', 'heroku', 'html5', 'keras', 'machine-learning', 'numpy', 'python', 'tensorflow'] | 2 |
10,133 | https://devpost.com/software/hifi-messenger | HiFi Messenger Logo
Inspiration
During hackathons, we are constantly transferring files back and forth, but it's usually a boring affair of passing a flash drive back and forth. We pass URLs and websites back and forth too, but those are a dreary pain to type over and over and over again. Peer-to-peer messaging would be really fast, but we don’t have it set up on our computers. Instead, we’re stuck with sending plain old emails back and forth to each other. Then we thought, “There has got to be another way, specifically, a more entertaining way!”
Our solution? It’s a file transfer system via audio. But we don’t use just any old boring audio. For our data encoding we carefully hand-picked the most unique, unusual, and downright silly sounds we could find. We call it HiFi Messenger!
What it does
Simply put, it’s a peer-to-peer data transfer system that uses different sound effects to encode the data for transmission.
How we built it
The main component of HiFi Messenger is a machine learning model that we use to convert audio signals into text. During the design process, we first started by evaluating different TensorFlow audio models, but after extensive evaluation it was determined that while they may be well suited for speech recognition, they didn’t work for sound effects.
From there, we switched gears and started working with images. We modified an npm spectrogram module to stream in microphone data from the user, then converted it into a visual representation. We selected a spectrogram over a more traditional waveform because it did a better job of distinguishing the pitch of the sound, and not just the volume.
Once we knew that we could convert audio to image data, we were then able to use Google AutoML to build a model which matches an auditory sound to a label. While this was no easy task (see the challenges section), we finally got a model trained and working. Then based on the sounds the model detected with the highest accuracy, we built a web app using React, Typescript, and Material UI to convert each sound to an image, then to a label, and then to the data that was transmitted.
Once this was working, we built two main ways to transmit sounds from keystrokes: a web app; and a Java program. The web app allows for a more focused user experience for users who just want to occasionally send and receive messages. The Java program allows users to stream everything they are typing, for example, at a meeting or a workshop.
Challenges we ran into
Choosing the correct model and gathering the data to train it was an ordeal in and of itself given the time pressure of the hackathon. We knew that we needed to convert an image of a spectrogram into a label using the machine learning algorithm, but we had a few different options of how to do that. The simplest way from a model training perspective would be to send only one sound wave at a time to the model. However, in doing so we would need a method on the front end to determine where one sound ended and the next began, and that was simply not feasible. Then, we wanted to use multi label images, but in doing so we would have lost the ability to send consecutive letters (example: http would have read as htp). This was a compromise we were not willing to make, so we needed to use an object detection model over a recognition model. This unfortunately required us to put a bounding box over each and every individual audio wave. This made gathering the training data one image at a time a very slow and painful process.
To speed this process up, we edited all of our possible audio files into one big clip, then used a screen recording program to record the spectrogram of the entire clip. We then captured an image from the screen recording each time a new sound was played.
We next needed to extract the spectrogram itself from each of the images that we had captured. Our original plan was to crop them all in photoshop, but with 250 images that would have taken forever. We instead wrote a UiPath sequence to crop, save, and close each image instead. This allowed us to open about 150 images at once, and UiPath would crop them all identically faster than we could. Finally, we went through manually and determined the bounding box for each sound, saved it to a CSV, and loaded it into Google AutoML to build our model.
Accomplishments that we're proud of
Despite the long process of trying to gather the training data and train the Google AutoML Model, we got everything we wanted done, and we’re REALLY happy about it!
What we learned
This was our first time making an image detection machine learning model, and our first time working with machine learning and audio, so we learned a huge amount about both of those.We also learned a lot more about Google AutoML and TensorFlow in general.
What's next for HiFi Messenger
We’ll be working on adding more training data to the model to allow it to support different environments and speaker configurations. We also started a Java App that allowed users to send data without being restricted to the single textbox of the web app, but were having difficulties connecting TensorFlow. We’d like to get that up and running in the future.
Built With
google-auto-ml
material-ui
react
tensorflow
typescript
uipath
Try it out
github.com | HiFi Messenger | Conducting serious business using silly sounds. | ['Andrew Dimmer', 'Nathan Dimmer'] | ['Best UiPath Automation Hack'] | ['google-auto-ml', 'material-ui', 'react', 'tensorflow', 'typescript', 'uipath'] | 3 |
10,133 | https://devpost.com/software/quake-shake | Title Screen
Meet Sage, a new friend you'll help guide safely through an earthquake!
Quickly grab all the necessary items for surviving an earthquake.
Follow the escape plan to safety!
Inspiration
I’ve wanted to create an educational earthquake safety game ever since high school, when I learned many earthquake safety procedures not taught in school while researching for a Science Olympiad competition. Having grown up in Los Angeles by the San Andreas Fault, an active fault zone that endangers many South Californian lives, the fact that general education barely covers how to stay safe during earthquakes was very shocking. Earthquake drills at schools only cover a smsall fraction of earthquake safety procedures, so this game aims not only to inform but also train the public how to quickly react during an earthquake anywhere, anytime.
What it does
Quake Shake an educational game that teaches kids earthquake safety in a fun and interactive way. You help a friendly street sign character, Sage, through many scenarios. The game covers all major aspects of dealing with earthquakes including preparation, what to do in multifarious situations during an earthquake, and dealing with the aftermath. It combines informational instructions with small, fun tasks. The current scenarios include grabbing necessary items and following an escape plan as well as staying safe after being woken up, while in a wheelchair or other mobility device, near mirrors or glass, while outside, in a vehicle, and while trapped.
How I built it
The game was programmed with Godot in GD Script. Art was created in Piskel. Title lettering is hand drawn. The font is called Dot Product and also created by me.
Challenges I ran into
I had to restart progress twice due to file mismanagement. I've also recreated numerous levels for uniformity's sake and after running into programming issues.
Accomplishments that I'm proud of
I created my own pixel font, Dot Product, for this game. I'm also proud of completing the entire game before the deadline despite starting late.
What I learned
I'm new to Godot, so I learned many new features and tricks in it while creating Quake Shake.
What's next for Quake Shake
There are a few bugs and weird abilities that shouldn't be there which I hope to fix.
Built With
godot
Try it out
stangs.itch.io | Quake Shake | Educational earthquake safety game | ['Sandra Tang'] | ['Best Educational Hack'] | ['godot'] | 4 |
10,133 | https://devpost.com/software/melodify-m8ab59 | Home Page
About Page
Figma Wireframe/Mockup
Inspiration
We wanted to make this hackathon a fun and enjoyable experience. Looking at the prizes we thought a silly and musical hack would suit our goals. We grabbed on to the idea: let’s read a website and translate the words into musical notes. As the saying goes "A Picture’s Worth a Thousand Words, but a Song’s Worth a Million", now what if we used the words and created a song. We were extremely curious to hear what websites' sounded like! Would Stack Overflow or our Facebook feeds produce some catchy jingles? It was for us to find out :)
What it does
Melodify receives a URL input from the user and runs a web scraper on the page. It retrieves a portion of the text from the website and translates it into musical notes. The first letter of a word dictates the note and the length of the word corresponds to the notes duration time. It features text tracking, different play options such as stopping, pausing, resuming, and even the functionality to change the instrument (piano, organ, acoustic, and edm).
How we built it
We built Melodify using AngularJS as a frontend server and Node.js as the backend server. The websites were scraped using Puppeteer Library, and the components were styled using Bootstrap. Special Thanks to Keith William Horwood (
https://github.com/keithwhor/audiosynth
) for creating a dynamic waveform audio synthesizer, which we used to generate audio. All the designs related to UI were mocked up in Figma.
Challenges we ran into
Some of the biggest challenges were binding words/letters to musical keys/notes, combining the front-end and back-end, hosting it, and setting up the end, and handling the play and pause functionality of the website.
Accomplishments that we're proud of
None of the team members were familiar with creating music, therefore we are very proud to make this project and learn about music. We made a working prototype and although this was also the first virtual hackathon for our team, we had great communication and were able to manage the huge timezone difference by putting it to our advantage so getting a hack completed when we are all working remotely is a big accomplishment we are proud of.
What we learned
We learned multiple things from this project. To list some: We learned how to create music, scrape websites, develop dynamic/responsive websites, and how to host a full-stack application.
What's next for Melodify
The next steps for Melodify are cleaning up the UI/UX and adding additional features. We would like to put this project on our own portfolios so we want to make this as presentable as possible. We hope to improve Melodify to create better sounds/generate better website music.
Built With
angular.js
bootstrap
css
html
javascript
node.js
puppeteer
typescript
Try it out
github.com
melodi-fy.web.app
melodi-fy.herokuapp.com | Melodify | Ever wonder what a website sounds like? Melodify scrapes a page and composes a song based on any website you enter. Keep an open mind for some funky website music :) | ['Gedion Teshome', 'Phillip Truong', 'Yusra Irfan', 'Judy Yeonghyeon Ham'] | ['Best Silly Hack'] | ['angular.js', 'bootstrap', 'css', 'html', 'javascript', 'node.js', 'puppeteer', 'typescript'] | 5 |
10,133 | https://devpost.com/software/listen-together | Home Page
Choose whether you'd like to share your music or listen in to someone else's
First step in music sharing
Second step in music sharing
Room view once music is shared
List of rooms you can join
Inspiration
I love making playlists and talking about music with my friends, and so I decided to expand upon that by allowing friends to hop in a room and all listen to music in sync with one another.
What it does
Listen Together allows groups of people to listen to music in sync with one another via Spotify. When the group owner makes any change in the song they are listening to, anyone who is listening and in the group with receive those same changes. It allows for truly synced music listening, which stands in contrast to Spotify's built-in feature of playing a song that a friend is listening to.
How I built it
Listen Together is built with React on the frontend and Node.js / Express running through Firebase functions on the backend. This was used purely to authenticate users with Spotify. In addition, I leveraged Firebase's realtime database to accomplish the live music syncing.
Challenges I ran into
Data fetching and calling the Spotify API at the right times was the source of many of my bugs, as the nature of the application means that the client has to stay in constant sync with both a user's Spotify application on their phone/computer and the Firebase realtime database.
Accomplishments that I'm proud of
Considering I worked alone and tackled an API I had never looked at before, I am quite proud of what I was able to accomplish. While I've used firebase in the past, I haven't worked on an application that was quite this realtime, and as a result there were many roadblocks I hadn't seen before that I was able to overcome.
What I learned
I learned a lot about the Spotify API, as well as dipping my toes in dealing with OAuth for authentication. I hadn't used either of those things before.
What's next for Listen Together
I was only able to implement public room sharing during the Hackathon, but I'd love to add functionality for users to send a private room link to only their friends. Possible integrations with other services could be neat as well, although I'm not positive about the feasibility of that.
Built With
chakra-ui
firebase
javascript
react
spotify
typescript
Try it out
listen.henryfellerhoff.com | Listen Together | Grab some friends, connect your Spotify account, and listen to music in sync with each other. | ['Henry Fellerhoff'] | ['Happy at Home Hack'] | ['chakra-ui', 'firebase', 'javascript', 'react', 'spotify', 'typescript'] | 6 |
10,133 | https://devpost.com/software/muisitar | Inspiration
During the Covid-19 pandemic, many people around the world are unable to go outside and participate events or activities as they used to. Many people are forced to stay at home, either for quarantine or social distancing. Instead of bing watching videos, movies and waste countless of hours on them, we have decided to make stay-at-home more fun and meaningful which is why we created
muisitar
.
Guitar is one of the most popular instrument, played and owned by many people. However due to the busy school or work schedule, many people have already forgotten the basics or wanted to try the instrument out but never have the time or money to purchase one. Which is why we have decided to solve this problem.
What it does
muisitar
is a guitar learning website that provides simple instructions to get people started in both learning and practicing guitar. It offers a range of tutorials to both beginners and intermediate guitarists offering them challenges and tutorials on finger position.
For individuals who do not own a guitar, and for users who just want an even more portable way to practice guitar, a compact LEGO-arduino guitar neck attachment can be used to have
active practicing sessions
to learn various chord positions. These active practicing sessions are possible due to the backlit arduino LED light system built under the LEGO guitar neck, where shining lights under the LEGO board guide the user to where they should place their fingers. Once the user has placed their fingers in the right position (and the arduino senses it with the photoresistor) the arduino will play the chord the user is on at the moment. There are two settings for playing the chord, one with a passive buzzer where the chord notes are played in a melodic order, or a recording of an actual guitar that has played the chord.
How we built it
Software
On the Software side, we used React and Bootstrap on the front-end side of the website.
Hardware
On the Hardware side, we used arduino, python, and some old fasioned LEGO!
We first tackled trying to make the light up LEGO LED guitar neckboard. There were many initial design variations for this LEGO neckboard, where we tried LEGO technical pieces and even hole-punching some cardboard boxes that could fit the LED lights. However luckily, each LED light fits snuggly under the openings of the 1x16 LEGO stick pieces which let us build an assortment of 13 lights underneath the LEGO neckboard. With these various LED lights fit underneath the LEGO neckboard, we utilized using arrays that saved specific LED positions according do various chords within the arduino code; we can run through 7 different chord positions due to the LED light configuration we have behind the LEGO neckboard.
We then learned how to utilize the photoresistor to sense when the user put their fingers in the correct position for each chord. Because the LEGO neckboard is lit up utilizing LED lights, the photoresistor can sense when enough light is covered by the user's fingertips and notify the arudino that the user has played the chord.
Then we tried to coordinate the light positions from the arduino with an actual sound of the chord the user is playing. We tried this in various ways:
Using a passive buzzer that can play 1 tone at a time. Although it cannot play the entire chord at once, it can play successive melodic notes which if played quickly enough, resembles the chord. It has a bit of a robotic sound to it however.
Then we tried to connect the arduino to python through the
pyserial
library. This would allow us to play more complicated sounds, such as recordings of us playing each guitar chord. By using this serial connection, we could play each recording exactly when the user put their fingers on the LEGO guitar neckboard with various chord progressions.
Challenges we ran into
Connecting the arduino to python was especially difficult; it was our first time trying it, and we didn't completely understand how the connection worked. However, some awesome people at the hackathon (shoutout Ankit) helped point us to the right resources to figure it out!
Accomplishments that we're proud of
We are proud to have finished this project successfully, with a working hardware component even though our team is away on two sides of the world: east US and Hong Kong!
What we learned
Lots of arduino, python, bootstrap styling hopefully to be used throughout the next few hackathons to come!
What's next for muisitar
Hopefully we can find better ways to sense whether or not the user has played a chord; but this was an incredibly fun experience!
Domain Name:
muisitar.space
Built With
arduino
css
html
javascript
python
react
Try it out
github.com
github.com | muisitar | Make Stay-At-Home a bit more musical | ['Grace Kim', 'Laurel Kim', 'Melanie Hsieh'] | ['Best Arts Hack'] | ['arduino', 'css', 'html', 'javascript', 'python', 'react'] | 7 |
10,133 | https://devpost.com/software/smart-type-assistant | Inspiration
In making this project, we were inspired by popular touch typing improvement platforms such as TypeRacer and 10FastFingers
What it does
Our Smart Type Assistant allows users to improve their touch typing skills (such as WPM and accuracy) by generating new prompts based on the letters they make the mistakes on. For example, if the user keeps making mistakes with the letters 'T', 'R', and 'Q', new unique prompts will be generated that have words containing these letters, allowing the user to improve on their weaknesses. It also shows the user their accuracy and WPM live while they're typing the new prompt so that they can see how well they're doing and track their progress. The user can also clear the data file once they felt like they improved on a particular letter to find new mistakes to improve on.
How we built it
We built the Smart Type Assistant using Python for the front-end and back-end. We split into two teams, one to design the back-end algorithms with Python and another to develop the front-end using Tkinter, a Python GUI toolkit.
Word Library Used:
https://github.com/first20hours/google-10000-english
Challenges we ran into
Our first challenge was finding a platform to share code and track our progress efficiently. We decided to use Github for this and quickly learned Git so that each member has code that is up to date. Since non of us worked with GUIs or had very little experience using Python, as a team we had to push ourselves outside of our comfort zones and quickly learn new syntax and libraries.
What we learned
From this hackathon, our team was able to gain more experience programming back-end with python as well as using Tkinter for the front-end GUI portion of our project. We also learned how to work efficiently as a team and the basics of Git to share our work between each other.
What's next for Smart Type Assistant
We plan on challenging ourselves by publishing the Smart Type Assistant into a web application and host it on a service such as AWS. In the future we also plan on adding the ability for users to compete in competitions and daily challenges.
Built With
python
tkinter
Try it out
github.com | Smart Type Assistant | A smart typing assistant that helps you improve your WPM and typing accuracy by generating prompts based on where the user needs to improve. | ['Jun Zheng', 'Ellen Wang', 'Ammar Siddiqui'] | [] | ['python', 'tkinter'] | 8 |
10,133 | https://devpost.com/software/productive-at-home | Inspiration
Our team decided to make a To Do app that rewards user on each completed task to increase productivity while staying home.
What it does
Users can add tasks, and deadlines and will be entertained after every completed task with a joke or a sound.
How We built it
We used React.js and Firebase for a serverless webapp with Firestore as the storage/database.
Challenges We ran into
We are all new to React and Firebase so at first, it was challenging to develop the application. However, we all spent several hours going through various tutorials, and as a result, were able to implement React into our to-do-list project.
Accomplishments that We're proud of
We managed to get through all the challenges and created our first CRUD React app on firebase.
What We learned
We learned to use React and Firebase through this project.
What's next for Productive At Home
Our next steps are to make the app more user-friendly and with several new features.
Built With
css
firebase
html
javascript
react
Try it out
github.com
productive-at-home.web.app | Productive At Home | To Do App with a reminder and incentive/rewards on each completed task while being at home during quarantine to increase productivity | ['Myat Thu Ko', 'Syed Osama Hussain', 'Aditi Parekh', 'nouralquraini'] | [] | ['css', 'firebase', 'html', 'javascript', 'react'] | 9 |
10,133 | https://devpost.com/software/chatbot-69rx4t | Inspiration:
Ans- We were inspired to create something to have silliness in our lives.
What it does:
It does all sorts of goofy stuff, one could expect to do.
How we built it:
We used HTML, CSS, Python GUI, Javascript alongwith services of flow.xo
Challenges we ran into:
There were time constraints, track constraints (since we have to submit only one track)
Accomplishments I am proud of:
We are proud that we were able to submit our project in this hackathon.
Built With
css
html
javascript
Try it out
coder-shark.github.io | The Silly Joker | If you want to laugh, try this | ['Fredy Somy', 'SHAHIN SHA', 'Vedvardhan Gyanmote', 'Sanchit Jain'] | [] | ['css', 'html', 'javascript'] | 10 |
10,133 | https://devpost.com/software/quadoodle | Homepage
Game Session Screen
Game Screen
Final Masterpiece
Inspiration
When thinking about project ideas, our minds wandered back to our primary school days. In particular, a game called Exquisite Corpse. In this game, paper is divided into thirds. Players take turns drawing on their third, then they fold the paper over and pass it to the next person, ensuring they connect their drawings together. In our version, we separated the page into a 2x2 grid.
What it does
Players take turns drawing their quadrant of the image, with only the very edges of the other quadrants visible. When everyone is done, the masterpiece is revealed!
How we built it
Quadoodle was built with React, using Firestore to store all our data and Typescript to implement our game logic.
Challenges we ran into
A major issue we faced was with our drawing canvas. Coordinates were not properly mapped to position on canvas, so the drawing position was not the same as the cursor position. This was particularly challenging because the problem seemed to disappear and reappear at random. Eventually we found the root of the issue and now it is fixed.
Accomplishments that we're proud of
Live updates & multiplayer support
What we learned
We learned how to:
structure our data and application
query Firestore
interact with HTML5 Canvas
use React with Bootstrap
play sounds in-browser
take canvas image data and store it, stitch it together, and make it downloadable as a PNG file
take libraries we are already familiar with and make it compatible with React
What's next for Quadoodle
Groupchat to communicate with other players in-game
More social features (post art to social media)
More drawing options such as brush colour, width, fill, clear screen, and more.
Built With
animation-on-scroll
bootstrap
canvas
facebook-login-api
firebase
firestore
google-cloud
jquery
react
rxjs
typescript
use-sound
Try it out
quadoodle.online
github.com | Quadoodle | An online multiplayer doodling game with hilarious results. | ['Devam Sisodraker', 'Aiden Kerr', 'Eli Vlahos', 'Vishal Desh'] | [] | ['animation-on-scroll', 'bootstrap', 'canvas', 'facebook-login-api', 'firebase', 'firestore', 'google-cloud', 'jquery', 'react', 'rxjs', 'typescript', 'use-sound'] | 11 |
10,133 | https://devpost.com/software/timetracker-skw1t0 | Inspiration
I was inspired by harvest app
What it does
Create a project. Track tasks
How I built it
with using ruby on rails and react
Challenges I ran into
How to input tasks dynamically
Accomplishments that I'm proud of
Deployed in aws
What I learned
deployment on aws, Use react.js
What's next for Timetracker
Reports
Built With
ruby-on-rails
Try it out
d14ho1v81otpe9.cloudfront.net | Timetracker | Building my own timetracker | ['Ildar Safin'] | [] | ['ruby-on-rails'] | 12 |
10,133 | https://devpost.com/software/homework-bot-6xbia4 | Homework bot
Inspiration
I take all of my classes online, and spend a lot of time organizing all of my schoolwork and study material, with all the multitudes of assignments and courses keeping track and getting all the files can be daunting and would cause lots of distress prior to any work getting done.
What it does
We decided to build a basic frame work and design a automation solution that helps ease some of that tension and make the process easier to get started. By scraping our schools lesson site, we can obtain lessons, power points, tutorials or anything else the teacher has left for us. Conveniently it can be done when ever or where ever we need. So that when go time comes we are ready to get started immediately on assignments on comfortable ground.
How I built it
I used uipath to create a bot that scrapes the school site for the data I need, and organizes it. HTML to build a mock up site to a school lesson board. and hosted it via a domian/github-sites
Challenges I ran into
Figuring out how to switch from manipulating the webpage, to manipulating my local file structures
Accomplishments that I'm proud of
learning how to use uipath- completing a fully lesson and process guide on CSS grid and learnign how to properly setup and mock out sites.
What I learned
how to use uipath, how to build better sites, how to integrate better css. Clean design.
What's next for Homework Bot
Making it work with the actual school site, blackboard in my case, rather than the example site created for the submission. Adding a calender function that grabs due dates and adds them to my calendar.
Link to the demo school site:
https://narrowcoconut.github.io/SameHomeHacks2020/
Built With
css
github
github-sites
html
photoshop
uipath
Try it out
github.com | Homework Bot | Online School has a lot of files to manage and organize, Homework bot grabs the files from the Online school site, and organizes them by lesson | ['Sammie~ ♫', 'Dustin Smith'] | [] | ['css', 'github', 'github-sites', 'html', 'photoshop', 'uipath'] | 13 |
10,133 | https://devpost.com/software/samaritan-ukn8c7 | Inspiration
CCTV footage plays a key role in crime investigation. Based on many studies, the very presence of camera surveillance systems has discouraged criminals, thus preventing crimes from happening. It creates valuable evidence for court trials. CCTV cameras are as important as forensic evidence like DNA samples and fingerprints in the investigations. The footage can be used to establish the timeline of an incident or a crime. A 2009 report showed that of the 90 murder cases recorded during the year, CCTV footage was used in 86 of the cases. Therefore CCTV footage is valuable in more than 90% cases!
What it does
We have designed a system to capture the face, expression, and gesture of targeted persons (criminals) through distributed CCTV systems and maintaining it in a database along with time and location stamp. The database-so compiled to be used to identify suspects from video clips of crime-related CCTV footage captured series of CCTV Systems located en-route and close to the scene of the crime.
How we built it
Our project essentially is based on a deep learning pipeline with two different layers. The first layer comprises a face recognition algorithm that can learn and recognize a person's face, in our case criminals face by understanding the patterns that make up the unique features of his/her face. For face recognition to work accurately, we will need a lot of training data, assuming that this amount of data will not be available, we decided to search for this data. So once the face recognition layer is trained on the criminal database, we use its recognition ability to find out images on social media of that person, so that we can replenish our data and update the model to a more accurate version.
Once the above training process is complete, Samaritan will be then ready to take in live CCTV footage and put its face recognition muscles to test track, and apprehending criminals or persons of interest, making the streets of this world a safer place, one True Positive Recognition at a time.
Challenges we ran into
Two of the key challenges that we faced are:
Ethical issues : People fear face recognition technologies because it is a threat to their privacy and we are totally for all people. Thus we took certain serious measures, so that Samaritan will never compromise someone's privacy. A few of these measures are like, giving more importance to low false positive rates so that an innocent person will never be tagged as a criminal and not storing the images of people who don't match with our database, and finally relying solely on government's criminal database alone for the core facial heuristics and no other source, so that only criminals comprise our dataset. We are totally to the people, for the people and by the people.
Lack of Data: Assuming that the criminal facial data will be very low and the cctv cam footage will be of standard definition, we set the thresholds real low, so that we can motivate ourselves to build a model that is robust enough to deal with any situation. To replenish our data, we use the criminal facial data trained dl model to find out similar images on social media sites and replenish our datasets.
Accomplishments that we're proud of
The thought that we as a team conceived the idea of Samaritan in itself makes us very proud, as we can now help the government in guarding our cities and our homes in a more faster and efficient manner. We solved a lot of technical difficulties, overcame ethical hurdles and had a ton of fun while building Samaritan. It took a lot of time to analyze, plan, debate and finally overcome each challenge, not because we wanted to be perfect but just because we didn't want to be wrong in doing any certain part. We as a team are very proud of our accomplishments and how far we have come together, all credits to this amazing hackathon.
What's next for Samaritan
The next step is to take samaritan completely online, drumroll....., and build a secure web app which can be used by the law enforcement agencies to interact with Samaritan. With the help of that webapp and the data we get from Samaritan, we want to make available the following features:
-> Tracking criminals in real time.
-> Identifying possible suspects based on crime location.
-> Finding a criminal in real time.
-> Location and timestamp based travel history of persons of interest.
and many more....
With this webapp and its ability to make complete use of Samaritan's data, we believe, we can help the government in a way that is technically feasible, ethically correct and thus play our part in making the world a safer place.
Running our code
In the drive folder than has been included below, is the complete face recognition algorithm code. To find out how to run it ,there is another folder inside that drive folder titled ''Jupyter notebook'', which can be simply run sequentially to mimic the process shown in the demo video.
Built With
facenet
google-colab
netgear
python
tensorflow
vidgear
Try it out
drive.google.com | Samaritan | A Distributed Surveillance and Criminal Tagging System built to make the process of monitoring and apprehending a criminal efficient and faster by manifold. | ['Indra Kumar', 'Srinath R', 'Saiharsha Balasubramaniam', 'Kiran S Raj'] | [] | ['facenet', 'google-colab', 'netgear', 'python', 'tensorflow', 'vidgear'] | 14 |
10,133 | https://devpost.com/software/recalculating | Inspiration
I have owned a calculator with broken keys in the past, and found it both fun and intriguing to try and work around the limitations to be able to yield the same answer!
What it does
There are 30 levels with varying objective numbers and key combinations. You can navigate through each level from the home page. The calculator in each level has a listed objective number, and you have to use the allotted functions and number keys on the calculator to output the desired value. It gets quite difficult as less and less keys are available!
How I built it
I used basic vanilla javascript, css, and html to build this website.
Challenges I ran into
This hack-a-thon, I was quite discouraged a majority of the time; due to a combination of problems, I had to switch up my idea multiple times since I wouldn't have been able to produce a prototype in time, the technologies I tried to use were finicky, among other issues. More than two-thirds the way into the event, I had not written a single line of code that I kept. I considered giving up and waiting for the next opportunity. However, some fellow hackers encouraged me to submit anything. no matter how silly or incomplete. Even code that has errors. I felt empowered by their support, and I worked tirelessly to create this game! I am very proud of what I was able to produce, something I have not felt at a hack-a-thon yet! I am so grateful and fulfilled to have finally been able to submit a project!
Accomplishments that I'm proud of
This is the first hack-a-thon that I actually made a submission to! I have been scared and reluctant to submit in the past, but I mustered up the courage to do so this time, and for that I am grateful to all of the mentors, organizers, and fellow hackers who have helped me get here!
What I learned
I learned how to cope with frustration and working efficiently under a time constraint, and to NEVER GIVE UP.
What's next for Recalculating...
I will implement the last 20 levels, and work on making a level creator for the user to design, in addition to a gallery/collection of user created levels for others to puzzle out. I will also consider adding a speedrun mode, to try and blitz a series of levels as fast as possible.
Built With
css3
html5
javascript
Try it out
github.com | Recalculating... | A calculator game based on the premise of a broken calculator! Get to the objective number with a limited number of keys! | ['Connor Wang'] | [] | ['css3', 'html5', 'javascript'] | 15 |
10,133 | https://devpost.com/software/gitify-7hsm6t | gitify
gitify focus
Inspiration
I like to check out different projects on github, so it's a given that at some point I had to automate the tedious task of cloning the repo and opening in vs code. So as any good dev I started out with the goal of automating it. A browser extension to clone and opening project was my inital goal, but while developing it and discussing with others I saw a much more greater potential in it. So it's aim shifted from being a mere workflow automation to a Browser Based Git Client. The main reason were that, for non coders( designers or non developers) using git cli or github desktop is way too hard to get their basic work done, which mainly just involves cloning a repo, adding some files and pushing them to github. So yeah, that was my main inspiration for this project.
What it does
It does basic git operations from browser extension.
Git Clone
Git Commit
Git Push
Open VS Code
How I built it
I built a cross browser extension it can run on various browsers like chrome, mozilla, etc. For the UI part I used React, Typescript, and the bundle build is handled by webpack with hotreload for development. The Service program which runs on the client device to perform various git operation is written in golang, it interacts with the shell to perform the operations.
Challenges I ran into
I started the web browser extension with
a starter project
but faced issues for importing image assets in it, so I decided to add the feature as it was missing in the project. I will submit the PR when this hackathon ends.
I had to create a basic rest api to handle post api calls and guess what I didn't find any good project with the native net/http package, so I had to figure out from different places.
How to interact with the git from golang, for this I initially used the go-git package, but later realized it not to be suitable for me and did it by interacting with shell from golang with os.exec()
Accomplishments that I'm proud of
This was my first time working with typescript and golang, so there was lot's of blogs and code to read and understand.
Setting up development environment with typescript esling and prettier.
made my first browser extension with typescript and golang project.
What I learned
Learned a lot about background processes, typescript, webpack and golang.
What's next for gitify
convert the server into cross platform os service.
Built With
golang
react
typescript
webpack
Try it out
gitify.launchaco.com | gitify | Interact with Git from browser extension. | ['Akshay090 Ashok'] | [] | ['golang', 'react', 'typescript', 'webpack'] | 16 |
10,133 | https://devpost.com/software/beatmaker | BeatMaker
Inspiration
I was inspired when I was trying to add sound to a mobile game that I am developing. So I looked up beats on YouTube and while looking I came across a video of someone coding their own beat maker so I thought it was a cool idea to try to make my own.
What it does
For right now it just allows the user to play different sounds depending on the color picked.
How I built it
I used html, css, and js to build the application. And I created the beats with a mixer I have.
Challenges I ran into
Trying to have the beats restart was a small challenge. As well as formatting the layout of the page.
Accomplishments that I'm proud of
I am proud that it plays a variety of different sounds.
What I learned
I learnt a bit about beat mixing.
What's next for BeatMaker
I would like to add a feature where you can record the beats you make.
Built With
css
html
javascript
Try it out
github.com | BeatMaker | My project is a beat maker where the user can make their own beats for artistic or entertainment purposes. | ['Laura Lara'] | [] | ['css', 'html', 'javascript'] | 17 |
10,133 | https://devpost.com/software/whatsthat | Inspiration
Textbooks for children in primary school often have a limited and repetitive set of images describing objects and teaching them the meaning of words. There is also no feedback mechanism helping the child to associate the same object word with different scenario pictures. This significantly limits the understanding of a young learner.
With the determination to overcome these limitations, we built our idea, a program to increase the cognitive abilities of young minds, to better shape their future.
What it does
Our program broadens the learner's knowledge horizon and improves their perception skills starting at a young age. It helps children reinforce the word to object association by showing multiple images of specific objects in all different orientations, angles, backdrops, and variety and ultimately testing the same. This is something that conventional educational resources fail to accomplish.
Our program consists of two levels and gives the user the flexibility to choose which level they want to use and how many times. The first level grabs an image from over 200 object categories from an online database hosted on GitHub. The computer speaks the name of the object and asks the child to repeat it. For example, the computer will display an image of an airplane and say the word ‘airplane’. As we have multiple images of airplanes, the child will learn to recognize airplanes of all shapes and sizes.
The second level is a guessing game, which uses an Artificial Intelligence model to predict the object inside a random image. The computer asks the child if the object is really what the AI model predicted, and the child replies either “yes” or “no”. This is compared to the correct answer and the child is awarded a point if they are correct.
The final score is displayed after the game finishes.
How we built it
Our program has been coded in python 3.7. It executes with the help of libraries such as TensorFlow, gTTS, SpeechRecognition, pocketSphinx, etc. We import the images from an online database that has been hosted on Github. After importing the image, the AI in the program detects the picture and saves the prediction as a variable. The program is further executed based on the level selected by the user. In level 1, the program speaks back to the user with the name of the object being displayed by using the matplotlib library. In level 2, the AI predicts the object in the image displayed on the user’s screen and waits for the user’s approval. The user’s approval is recorded from their microphones and translated by our program. Based on the answer given by the user, the program gives relevant feedback. This feedback is delivered to the user by the Google text-to-speech library(gTTS) from their selected output speaker. Initially, the user is prompted to input the number of images they would like the program to display so that the program stops when that number is reached.
Challenges we ran into
Not everyone in the group was familiar with python 3.7, thus there was a lot of learning involved while developing the program. Many of our team members had trouble installing certain Python Libraries, like TensorFlow
It was challenging to display the image in a non-blocking manner. Using Tkinter to display the image meant that the preceding code would not run. Hence, we had to revert to using matplotlib.
Our Team had to overcome the communication challenge of working remotely and coordinating team tasks online.
Accomplishments that we're proud of
Usage of Artificial Intelligence in level 2 of our program
Designed a refined dataset specifically for the program to help increase the object-word association in children
An interactive program to keep the user engaged by giving audio responses and feedback.
Built it in a team of 4 with thorough communication in a span of 36 hours
What we learned
Coding simultaneously online
Inculcating multiple python libraries to increase UX
Improved video editing skills
Collaboration and teamwork
What's next for WhatsThat
We will work on refining and polishing the program to increase speed and eventually launching it into the real world.
Can be used to train AI models too
Increasing the data set of object words
Reducing AI error percentage
Develop a more children-friendly user interface
Domains that we registered
letsnotgo.online - Kushagra Goel
allyour.space - Ajeya Madhava Rao Vijayakumar
nextdimension.space - Charu Tyagi
4dimensional.space - Jhanavi Gera
Disclaimer
Everything we submitted was created during Same Home Different Hacks
Built With
beautiful-soup
github
gtts
imageai
keras
matplotlib
pocketsphinx
python
tensorflow
wget
Try it out
github.com
github.com | WhatsThat | Inculcating cognitive skills in children and improving object-word association by asking, WhatsThat! | ['Kushagra Goel', 'jhanavi gera', 'Ajeya Madhava Rao Vijayakumar', 'Charu Tyagi'] | [] | ['beautiful-soup', 'github', 'gtts', 'imageai', 'keras', 'matplotlib', 'pocketsphinx', 'python', 'tensorflow', 'wget'] | 18 |
10,133 | https://devpost.com/software/emission-xb169p | Our Logo
Overview of emission
The dashboard shows a graph of sustainability score over time and scores for each category.
The profile page lists challenges to accomplish, more specific information about each category, and allows you to add friends.
The leaderboard ranks users by their sustainability score to help encourage individuals to improve their score.
The map of ozone concentration helps individuals visualize greenhouse gases.
Our UIPath Setup
The Dialogflow interface in Google Cloud which stores the backend of our chatbot.
Inspiration
From a country’s deforestation activities to a household’s increased use of air conditioning, using Earth’s resources contributes to carbon emissions and spurs global warming. Some consequences of large carbon footprints include shrinking water supplies, increasing incidents of severe weather, and changes in the food supply. Most people do not have a tangible idea of how much they impact the environment, but emission can change that.
We wanted to create a carbon footprint calculator that also educates users on how to become more green, and keeps track of their progress over time. This encourages users to form new habits, compete with their friends, and learn about their direct impact on the environment.
What it does
By using emission, users can keep themselves and their friends accountable for their impacts on the environment. Each day, users take a short quiz that is used to calculate their CO2 emissions based on transportation, diet, energy, wardrobe, water usage, and recycling habits. Emission will then rate the extent of overall impact by giving each user a Sustainability Score ranging from A to F.
In the dashboard, users can explore maps of different emissions, a line graph of their Sustainability Score over time, and a calorie counter to ensure that they don’t sacrifice a healthy diet in favor of sustainability.
Emission not only makes users more aware of your carbon footprint, but it also gives users tailored advice on how to lower it. The website’s information page features a chatbot where individuals can ask questions such as “How can I lower carbon emissions caused by transit?” to which the chatbot will respond with a list of tips to make the commute greener. This educates the user on what they should do to lower their carbon footprint.
For further motivation, we added some healthy competition. Emission has a leaderboard that ranks users based on their carbon footprint. Individuals can view their ranking globally, regionally, and amongst their friends.
Emission also has several week-long challenges that can be completed to earn a badge. These can include taking cold showers, cutting out meat and dairy, and only buying second-hand clothing. Because the commitment is only one week, trying out the new habit will be much more manageable and users can consider adopting it as part of their permanent lifestyle.
How we built it
After wire framing the design using Whimsical, we developed the website in HTML, CSS, and JavaScript, and used repl.it for simultaneous online collaboration. We made our server in Python using Flask, since we wanted to try something new, and Flask was completely new to all but one member. We used Chart.js to visualize the user’s data and MongoDB to store each user along with their score, activities, and friends.
Once the website was set up, we added features using Google Cloud and UiPath. UiPath was used in building the calorie counter, running lookups in the USDA FoodData Central API for each food entered through a Python script. Dialogflow was implemented in Google Cloud to run a chatbot which could educate the user on how to lower their carbon footprint for each of the six graded categories. Google Earth Engine was also used in conjunction with Leaflet to display a map of the world with an overlay of concentrations of different harmful emissions to visualize the main atmospheric pollutants defining each geographic area’s carbon footprint.
For our carbon emissions calculations, we researched effects of transit, diet, energy, wardrobe, recycling, and water on one’s carbon footprint and compiled a holistic formula that encompasses these impacts into a total amount of metric tons of carbon emissions per year, and ranked the result with a Sustainability Score.
Challenges we ran into
It was difficult finding and getting the quantitative data on how carbon emissions could be calculated based on different factors for each individual topic. Some topics such as water and energy required an in-depth look at how they contribute to a person’s carbon footprint because of how widespread and prominent they were.
Another challenge we had was with UiPath — something that none of our teammates have used before. Our team spent over 24 hours trying to figure out how it works, how to link it to python scripts, and how to port the robot to our website. After scouring many forums and failing to implement the bot over and over again, we were finally able to use UiPath to look up the calories contained in a single serving of a specified food using the United States Department of Agriculture’s FoodData Central API.
Yet another challenge we faced was in configuring the Dialogflow chatbot to respond to queries. Initially, we believed that just entering a single word to look for would be enough to allow the chatbot to respond, but when we tested it out the chatbot did not recognize what we were saying. We then had to come up with multiple phrases people could use to ask the chatbot for information, which Dialogflow could use to generalize input to multiple different cases. After manually entering and tagging around 100 total phrases into Dialogflow, the chatbot was able to naturally respond to user queries.
Accomplishments that we're proud of
We are very proud of our user-friendly and aesthetic design of the website. We were always moving things around and formatting pages in different ways because of applications such as the calorie counter and emission’s Google Cloud-based chatbot.
Another thing we are extremely proud of is figuring out the carbon footprint formula that accounts for each different topic. This equation combines information from multiple different sources, from fashion to water consumption, into one metric to accurately represent an individual’s carbon footprint.
We also love the complexity of the emission website with the implementation of a landing page, log in/sign up, different profiles, and the ability to add friends. We added fun pages such as the leaderboard page where the user can compete with people around the world or choose to compete with just their friends and the ability to view a map of global CO2 emissions that enables the user to see how much carbon emission is in their area.
Furthermore, after much work, our team was able to implement a chatbot in which the user can ask for more information on carbon footprint and receive tips that inform you about how to reduce your carbon footprint. We’re super proud of this, as none of us had even set up a Google Cloud account before this hackathon, much less implemented a fully functional chatbot in it.
Possibly the most impressive achievement (to the backend devs) of this hackathon was linking a responsive UiPath Robot to our website. We used our experience in Python requests from our past hackathons and applied it to the Robot structure which we had never even seen before. After struggling to implement the Robot for an entire day, we were ecstatic when the website finally began picking up data sent from the UiPath Robot for the calorie lookup.
What we learned
In creating the calorie lookup, our team had to learn how to program Robots using UiPath to automate a search through an API. This seemed like a daunting task for a group of developers who had never touched automation before, much less used it for API searching. Nevertheless, we persevered, not only learning the basics of UiPath, but also how to connect it to Python scripts, HTTPS requests, and more.
Before this past weekend, none of us even knew how to get into the Google Cloud interface, but once we thought of creating a chatbot, we realized we had to learn to use Dialogflow within Google Cloud. In deciding to create a bot which educates the user about one of six topics, we learned to define Entities, connecting them with Intents to create a bot which, when connected to the Google Cloud interface, could respond to queries and log response information. Once we figured out how to add the Dialogflow chatbot to our website, we had a responsive chatbot to educate users on their environmental impact.
To develop our website, we used Flask to create templates, link pages together, and integrate our databases for login information and user sustainability scores. It was our first time using Flask, but we were able to seamlessly navigate between HTML pages using Flask and access our databases from multiple pages in order to display the leaderboard, user scores, badges, and friends.
Most of all, we learned a lot about how each of our daily tasks affects the environment. While creating emission to inform others, we also gained an understanding of how the carbon footprint of simple activities like texting, calling, surfing the web, and sending an email can become a significant contributor to global carbon emissions due to the energy used by servers.
What's next for emission
We hope to develop a more sophisticated chatbot that can answer a wider variety of questions, such as “How many pounds of carbon emission was caused by my diet on June 2nd?” We also hope to add more detailed factors to the carbon emissions formula for greater accuracy, be able to view your friend’s profiles to see their badges, and add more statistics to your profile, such as “Your carbon emissions are higher than 68% of users.”
Built With
chart.js
css
dialogflow
google-cloud
google-earth-engine
html
javascript
mongodb
python
uipath
Try it out
emission.hexhax.tech
github.com | emission | We make it our mission to lower your carbon footprint, while teaching you about your personal impact on the environment. | ['Michelle Bryson', 'Kevin Gauld', 'Jendy Ren', 'Ethan Horowitz', 'Bach Nguyen', 'Christina W'] | [] | ['chart.js', 'css', 'dialogflow', 'google-cloud', 'google-earth-engine', 'html', 'javascript', 'mongodb', 'python', 'uipath'] | 19 |
10,133 | https://devpost.com/software/brainfun-fqvu65 | Inspiration
Our inspiration starts with one of our team members having learned the language before. To apply the language, he tackled a computer science competition problem in the language. After completing the problem, our teammate showed our teacher the code. After being shown the language, his teacher thought that this would be a good application to help teach his students to learn the problem solving and logical thinking needed in computer science. As the language has an application to teach logic at the high school level, we wanted to create a course that allows younger children the same experience.
What it does
Brainfun is an intuitive experience to help teach young kids logical thinking and programming via the esoteric programming language Brainf***(it is traditionally an expletive throughout the rest of the written portion we will refer to the language as Brainfun). We provide 19 unique exercises and easy to use UI to help promote learning. Additionally, it allows authentication so your progress is saved. We give notes that help the user retain information and an easy to use environment so that a language typically hard to visualize is now easy to visualize.
How I built it
We used a modular approach to build BrainFun. Each piece of the website was made into a Vue component and then pieced together. To manage the website's state, we created a flow of events to transmit information to and from the different components.
Challenges I ran into
Our three biggest challenges were:
Dealing with the changing data states.
Passing data between components
Integration between front-end and back-end
Accomplishments that I'm proud of
I think the two things we are most proud of are:
The UI and how the website looks.
We got a working product that helps our community.
I am proud of the login functionality that we added.
What I learned
As a team, only one of us knew Brainfun prior to the hackathon, so as part of the process we all learned the language. Below are individual things we each learned.
Adam - I learned how to use Vue for the first time which allowed us to make a unique front end design. Along with this, I learned how to implement new libraries such as Vuebash material
Tyler - I improved my skills in CSS. Prior to the hackathon, my skills were very limited. I specifically used CSS to help style the front end of the website.
Keshav - I used JavaScript for the first time to write checking algorithms to make sure that the answer they submitted was correct.
Peter - I primarily designed throughout the process. I learned about the design workflow. Also, I got exposure to the iterative improvement process.
Iain - I learned how to make JSON objects for the first time to store the lessons, exercises, and answers.
What's next for BrainFun
We will continue to work on Brainfun to make it a viable platform for people to learn to program. One thing we hope to improve is the responsiveness of the website. Additionally, note that the domain below, brainfun.tech, was bought at Domain.com via the code we received.
Music Credit for Video: "Show Your Moves" Kevin MacLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 4.0 License
http://creativecommons.org/licenses/by/4.0/
Built With
css
firebase
html
javascript
sass
vue
Try it out
brainfun.tech
github.com | BrainFun | A learning platform to teach young children the fundamentals of programming using an esoteric programming language. | ['Adam Goldstein', 'Tyler Lin', 'Keshav Ganapathy', 'Peter Ganunis', 'Peter Ganunis'] | [] | ['css', 'firebase', 'html', 'javascript', 'sass', 'vue'] | 20 |
10,133 | https://devpost.com/software/message-saver | Inspiration
Constantly missing important deadlines
What it does
Automatically save these deadlines
How I built it
Constructing a React Front End and Flask Back End
Challenges I ran into
Connecting the Front End via Back End
Accomplishments that I'm proud of
Setting up a Flask module
Built With
flask
javascript
python
react
Try it out
github.com | Message Saver | An app that can be used to save important deadlines and messages | ['Christopher Kang'] | [] | ['flask', 'javascript', 'python', 'react'] | 21 |
10,133 | https://devpost.com/software/fakeurgrams | Welcome Page
About Page
Edit Your Own Picture Page
Generating a Picture using ML
Generated Picture using ML
Artworks generated by the ML network.
Inspiration
In the upcoming years, a new idea of GANs had emerged. GANS or generative adversarial networks work as two neural networks that compete with one another: one that tries to produce fake data, the other that tries to discriminate real vs fake. They work together to train each other.
We wanted to use this new technology to incorporate it into the idea of the artwork. We wanted to accomplish the artistic track by using computer-generated artwork. How does a computer generate artwork? It needs some kind of inspiration. Hence, we fed the computer with large amounts of data (images of flowers, artworks, sceneries) to learn color patterns to display.
We also wanted to allow the network to create fake data that would be confused as the real data, but we quickly realized that the training time for this kind of result was not suitable for a hackathon. Hence, we resorted to this abstract artwork.
What it does
The application/ website has the ability to edit any image type files of JPG,PNG,or GIFs suing filters and photo effects such as Vibrance and Color Contrast. Our app/website also generates a dynamic image that is generated when clicking on a single button.
How we built it
We used many technologies for this such as flask which was used for the Machine Learning that generates the pictures of a landscape kind, then we used HTML, CSS for the basic User Interface. We also used CamanJS which is another scripting library/module that allows image editing with certain effects like Vibrance and Contrast. We also used Electron JS to create a desktop app from our basic HTML, CSS, and JS that we had for the website. We plan on hosting this site over Google Cloud's App Engine ut currently using firebas hosting. We also made a share button to share the website on Whatsapp, Gmail, Facebook, and Twitter and to get that we used an online tool called addthis.com.
Challenges we ran into
We ran into library importing issues such as machine learning runtime NodeJS libraries, API access to images, learning how the machine learning works, limited access to NodeJSon ElectronJS, self-hosting servers.
Overall, all-out problems were with the coding side of the project which did mess with the plan of the project and changed drastically.
Accomplishments that we're proud of
We are proud of the project we have been able to come up within 36 hours and that we never thought possible that we could integrate art with coding to generate on-demand art but we were able to figure it out. We are also proud of the way our pre-planning was done because it gave us insight on how to delegate tasks and how much time permitted for each and who's doing which task in which is a of coding based on strengths.
What we learned
We learned that nothing is impossible and that it just takes time for everything to understand and to code and to also think outside of the box to incorporate your skills into new things such as art creation through coding. We also learned a couple of programming languages that will help us for future hackathons.
What's next for FakeURGrams
For FakeUrGrams, we hope to upload this website and publish our desktop app on more advanced hosting sites and we also have many features we would like to add such as photo gallery, authentication for users use when on our website. We would like to finish the Machine Learning to get the image to actually generate completely and correctly when retrieving a gram(an automated photo). We also think we can change the theme of the pictures generated from landscapes to something else.
Built With
addthis.com
camanjs
css
electronjs
flask
github
html
javascript
jquery
machine-learning
node.js
npm
python
tensorflow
Try it out
github.com
github.com
github.com
fakeurgrams-3434.web.app | FakeUrGram | A machine learning approach to generating art and perfection. | ['Sai Charan Todupunoori', 'Abinavraj Ganesh Sudhakar'] | [] | ['addthis.com', 'camanjs', 'css', 'electronjs', 'flask', 'github', 'html', 'javascript', 'jquery', 'machine-learning', 'node.js', 'npm', 'python', 'tensorflow'] | 22 |
10,133 | https://devpost.com/software/reverse-style-transfer | Inspiration
Our original vision was to train a CNN to 'undo' the style-transfer process, allowing us to look at what the person in a portrait would look like in real life. We succeeded in creating a database for this problem, but could not finish our original vision in time.
What it does
Creates large numbers of stylized face images.
How we built it
By using a tensorflow hub, we performed style transfer on thousands of images from the CelebA dataset, using a kaggle art dataset for the styles (
https://www.kaggle.com/ikarus777/best-artworks-of-all-time/data
).
Challenges we ran into
Unfortunately we didn't have enough time to build the model which would fulfil our original vision.
Additionally, the resulting dataset would perhaps not generalise so well to the kinds of portraits we originally intended to use the model on.
Accomplishments that we're proud of
We have loads of awesome high quality stylized pictures.
What we learned
To set a more realistic workload.
What's next for Reverse Style Transfer
We might see this project through to the end in our spare time.
Built With
python
tensorflow
Try it out
github.com | Style-Transfer Face Database | Generate a database of faces to which style-transfer has been applied | ['Julian Henjes', 'Job K'] | [] | ['python', 'tensorflow'] | 23 |
10,133 | https://devpost.com/software/moo-sician-farm | Moo-sician Farm
Creating the site
Originally, the site was going to be a music creation site. Due to time constraints and lack of javascript knowledge, I ditched the idea in the last 5 hours and decided to make a quiz site about cows and music instead. This was still tough since I had no experience in javascript or Bulma, the css framework I used. Even though my site isn't very complex, I still learned a lot from creating it and participating in this hackathon.
Proof of Purchase:
https://imgur.com/CYOK6Wh
Built With
bulma
css3
html5
javascript
Try it out
moo-sicianfarm.herokuapp.com
www.moo-sicianfarm.space | Moo-sician Farm | A simple quiz about cows and music | ['Clinton Graham'] | [] | ['bulma', 'css3', 'html5', 'javascript'] | 24 |
10,133 | https://devpost.com/software/quiz-me-now | homepage
instructions-page
answer
hints
Inspiration
So, in this quarantine, we thought of building a website, where friends can come together and challenge each other/quiz each other. The idea was that the website will have some pre-available questions which users can solve and check their knowledge. We also thought of creating "user-made" questions where the admin can create questions, invite others to solve them and finally have a tally on the leaderboard.
What it does
Currently, our website only has pre-available questions that the user can answer.
How we built it
We used React.js for the UI and Trivia Database questions from "opentdb".
Challenges we ran into
Currently, the user can select a track and answer questions specific to that particular track. Multi-user support is not functional but we're working on it.
Accomplishments that we're proud of
I learnt how to make use of components, timer and working with json. Though we have worked with React in past, we're still trying to get a hang of it and hence, each time we learn something new.
What's next for Quiz Me Now
Multiple players support and creation of personal rooms.
Built With
api
css
css3
html
html5
react
Try it out
github.com | Quiz Me Now | Quizzing my way around | ['Utkarsh Tiwari', 'Preet Shah'] | [] | ['api', 'css', 'css3', 'html', 'html5', 'react'] | 25 |
10,133 | https://devpost.com/software/birdcam | The BirdCam Setup
Inspiration
Behind my house, there is a forrest, and I wake up to the calls of woodpeckers and bluejays. I set up a bird feeder behind my house so I could not just hear them, but see them. To capture some of that beauty and it share it with the world I wanted an automated system for taking bird photos.
At the same time, there has been a drastic decline in the bird population over the last few decades of nearly 30%. In order to better understand the impact of anthropogenic alterations to the environment, we need to track bird populations and their health. A bird camera would help with that too.
If you would consider purchasing a BirdCam (if I make more) to help collect more wildlife data, fill out
this interest form
.
What it does
It takes photos and tags them based on the wildlife present (currently includes birds and squirrels.)
How I built it
1) Scraped images from google images using UiPath.
2) Used those images and pytorch on a gcp virtual instance to train a model which can recognize animals in pictures.
3) Deployed the model to a raspberry pi with a camera.
4) Waited for birds.
Challenges I ran into
The biggest challenges I ran into were all related to deploying the model on the pi. I had to build pytorch, pytorch vision, and various dependencies to work given the pi's firmware. I had to debug lower model performance on the pi. I had to increase the speed of the model so it didn't take 3 whole seconds between photos. I had to debug an error where pytorch ✨magically✨ managed to sever my SSH connection every time I ran the program to capture images.
The raspberry pi was clearly not meant to run my 84 megabyte transfer learning model built on resnet34 🤪
Accomplishments that I'm proud of
Honestly, see the challenges section.
I did not realize how hard this project would be, but I learned a lot about edge computing. I also now have a raspbian image with pytorch fully set up, so deploying this to any other pi is as easy as flashing an SD card! It'll also make future edge-computing projects waaaay easier.
(Also also, I cannot wait for pretty bird pictures.)
What I learned
How to use UiPath and GCP
A metric crap-ton about edge-computing (esp. deploying AI models on the pi)
What's next for BirdCam
Firstly, I'll add some of the best pictures from the camera to the devpost.
Then:
Solar Power
Nicer Camera
Rain-proofing
A model to find the nicest bird photos and to beautify bird photos
Try running the model on a GCP server and sending classification requests to the server
More cameras so I can take more bird photos :)
Building cameras for other people and providing data for projects like
Feeder Watch
(a project of
Cornell University
)
If you would consider purchasing a BirdCam (if I make more) to help collect more wildlife data, fill out
this interest form
.
Built With
google-cloud
hardware
opencv
python
pytorch
raspberry-pi
uipath | BirdCam | A camera that automatically takes pictures of wildlife (particularly birds) so you can better enjoy nature 🌳🦉☀️ | ['Shriyash Upadhyay'] | [] | ['google-cloud', 'hardware', 'opencv', 'python', 'pytorch', 'raspberry-pi', 'uipath'] | 26 |
10,133 | https://devpost.com/software/locate-my-tech | Inspiration
Creating hardware projects can be annoying if you discover that you don't have enough parts, or parts are being used by other projects.
What it does
This app keeps tracks of your components, specifically the quantity and which projects they are assigned to.
How I built it
This was built using Dart and Flutter.
Challenges I ran into
Both Dart and Flutter were entirely new to us. Additionally, object-oriented programming is not our strong suit. We ran into a lot of errors to do with object-oriented and spent a lot of time trying to figure out the best way to implement a feature.
Accomplishments that I'm proud of
Using Flutter is a big one since neither of us had experience with it. We managed to create a functional app that does
some
things (though it is far from complete).
What I learned
Flutter and Dart, as well as familiarising ourselves with object-oriented concepts.
What's next for Locate my tech
Improve the user experience by getting rid of unnecessary screens.
Add authentication so that multiple users can use the system.
Do some work on the database and make sure the relationships between collections are correct.
Domain.com url
locatemy.tech
Try it out
locatemy.tech | Locate my tech | A way of finding what projects you've used your components in | ['Sam Robbins', 'Karina Talibzhanova'] | [] | [] | 27 |
10,133 | https://devpost.com/software/dumblr | Send Me To HELL Lesson
Is it Dark Outside? page
Send Me To HELL
Home Screen
Rate My Fart poor score
Fidget Spinner
Rate My Fart amazing score
Send Me To HELL agreement
Send Me to HELL Terms of Usage
Photo Trivia
Inspiration
There was an app called S.M.T.H. which means send me to heaven. That app inspired me to make something similar to it. I added a feature in the app called Send Me to HELL, this feature asked user to throw the device as far as possible. As Dumblr is a silly app, we asked user to throw phone but at the end, we gave lesson to user that Never trust anyone BLINDLY. We added more features similar to it so that app could be uniquely Dumb and Silly
What it does
This app has five different features,
Send Me To Hell:- This features was inspired by an app called S.M.T.H. which means Send Me To Heaven. SMTH asks user to throw phone as far as possible. The app in return tells how far the device was thrown. Send Me To HELL
too asks the user to throw the device but at the end it gives user the lesson that we should never trust anyone blindly.
Rate My FART:- This feature asks user to record its fart, the app in return will give rating to the fart out of 100. More the rating, amazing the fart. Lower the rating, poor the fart.
Fidget Spinner:- This feature allows the user to spin a fidget spinner virtually in the app.
Is it DARK Outside? :- This feature does nothing but reminds the user not to be dependent on anyone to know anything.
Photo Trivia:- A Historical figures trivia game which has a twist in it! As Dumblr is a Silly app, Sometimes the correct option doesn't appears, sometimes the correct option is said to be wrong answer.
How I built it
I build the app through a non coding platform called Kodular. It has a simple user interface and the app can be programmed by joining the blocks. The complete app was made by Kodular.
Challenges I ran into
Making a complete app was challenging task for me and my teammates.
Some challenges we faced:-
Different Time Zones:- No one in our team belonged to same country so it was difficult for us to manage time to work together. So, we divided some part of work and tried to complete as much was possible.
Working on same project together:- Kodular doesn't allow many users to work on same project. So, we made a common google account and logged in to Kodular and we worked at different screens at same time.
Accomplishments that I'm proud of
I am proud that I got a chance to work with teammates from different parts of world and I am proud that I got to know about more sources to make android apps. And For the first time I worked on a silly app.
What I learned
By this Hackathon, I got to know about culture of different parts of world because my teammates belonged to different parts of world and I got to know more about Kodular and tried making Silly app for the first time and also made trivia game in the app.
What's next for Dumblr
We will try to add some more features in the app like other minigames like Rock, Paper, Scissors and also would add multiplayer feature to the app.
Built With
android
kodular
Try it out
drive.google.com | Dumblr | Dumbness Has No Limits! | ['Keshav Majithia', 'Kody Alan Rogers'] | [] | ['android', 'kodular'] | 28 |
10,133 | https://devpost.com/software/sound-synth | Logo for Sound Synth
Web Application: A simple UI for instrument mode
Instrument Tile: Currently supports piano, guitar, and xylophone
Brainstorming Notes: 1
Brainstorming Notes: 2
Inspiration
Both the Sound Synth members are music lovers and it made perfect sense to follow the Arts path for this hackathon. Between the two of us, we play about 6 instruments (piano, flute, clarinet, guitar, trumpet, and saxophone). We wanted to build something fun and exciting which wrapped traditional/classical music with tech and featured unlimited extensions.
What it does
Sound Synth is an all in one instrument intended for music lovers of all ages. From beginners to skilled musicians who want to have fun and create some sick tunes! It can be used on the go, or at home with ANY computer.
Unlike striking, strumming, or blowing, the Synth works through an ultrasonic sensor to determine the note based on proximity to the device. The device features two modes:
Portable mode: the on board buzzer produces the sound
Instrument mode: web application with different instruments sound and
sheet music creation
How we built it
Hardware
The hardware for this device utilizes an Arduino which processes the ultrasonic sensor reading between specific interval. The value of the sensor determines which note should be played and it's duration. Additionally, there is an LCD display along with a button to toggle between the portable and the instrument modes. The portable mode uses the sensor readings to play the respective notes on the buzzer
Web Application
In instrument mode, the Arduino sends the ultrasonic sensor readings over a serial port to a computer. To start playing, the user can navigate to the web application build on HTML, CSS, and JS to choose their instruments and hit play. This process calls into our python-flask backend application to spawn a thread and read the data from the serial port to play the right notes.
When ending your Synth session, the user hit Stop which sends a GET request to the flask app and terminates the thread. Additionally, the entire session is recorded and transcribed into sheet music through LaTeX.
Challenges we ran into
Sending and reading data between our backend and Arduino
Working with only one Arduino between both of us
Transcribing the sheet music
Thread manipulation to allow the main server application unblocked
Accomplishments that we're proud of
Having a finished product
Learning how to communicate between a flask app and Arduino
Construct a real-time low latency device with possible applications in IoT
What we learned
In addition to learning new framework such as Flask, we also learned how to work with sound files in Python and making an Arduino act differently based on whether it is connected to USB port or not. Additionally, we also researched about synthesizing sounds with sine functions to produce musical notes resembling specific instruments.
What's next for Sound Synth
Short-Term
Adding more instruments
Refining user interface
Reducing latency for sheet music creation
Resolving unnoticed bugs and refactoring inefficient code
Long-Term
Incorporating a mixer to layer several sessions for more music creation
Synthesizing better quality sounds using artificial intelligence and the Karplus Strong algorithm
Adding connectivity and features to share recordings
Built With
arduino
c
c++
css3
flask
html5
javascript
python
serial
Try it out
github.com | Sound Synth | One device, countless instruments, endless fun! | ['Ankit Gupta', 'G-Gautam Gupta'] | [] | ['arduino', 'c', 'c++', 'css3', 'flask', 'html5', 'javascript', 'python', 'serial'] | 29 |
10,133 | https://devpost.com/software/find-my-photos | App
Images found gallery
Inspiration
We have basically unlimited storage now and there are a lot of photos! We will have a HUGE collection of photos after a wedding or a trip. We will have to go through each photo to find the ones we are in. Google Photos and other cloud services can recognize, but you need to upload.
What if you can easily pick the photos you are in with a simple click, without internet !
What it does
A desktop offline app to find photos you are in from a large collection of albums/folders.
How I built it
Electron JS, nodeJS & Vue : To make the desktop app
face-api.js : For face recognition
Challenges I ran into
Getting face-api.js to work. It was my first time with Electron and nodeJS. Learning how to use face-api.js with Electron was difficult
Electron : Integrating Vue & Electron plus having a different worker to process images was very difficult. Spent many hours for it
Initially I wanted to make an app for making timelapse video from a set of selfies, but nodeJS had its limitations, so I remade it into Find My Photos.
Accomplishments that I'm proud of
It works! From being sad of not getting it to work to making it work is a great feeling :)
Got to find photos that I didn't know I was in :D
What I learned
ElectronJS: Learnt basics of working with Electron
face-api.js : How to use it and the basics of facial recognition
What's next for Find My Photos
Publishing as an app
Implement timelapse video feature
Group photos by faces
Built With
electronjs
face-api.js
javascript
node.js
tensorflow
vue | Find My Photos | Easily find photos with you in it from large collections ! (by recognizing your face) | ['Subin Siby'] | [] | ['electronjs', 'face-api.js', 'javascript', 'node.js', 'tensorflow', 'vue'] | 30 |
10,133 | https://devpost.com/software/talk-to-tammy | GIF
This is Tammy our fun and helpful Robot
Our website in lightmode
Our website in dark mode
What is Talk To Tammy
MLH Same home different hacks discord bot created by Chris King, Rohan Singh, Daniel Qiu, Lauren Rowe.
Created using Python and running on Google Cloud servers, Tammy is your own quarantine buddy. Not only is she able to keep a conversation,
Tammy can be used for quick searches (weather, google, dictionary etc.)
Inspiration
We were inspired to build Tammy as most of the members of the team often use discord while gaming and working. We always found it inconvenient having to tab out to search for something or grab quick and easy information. That is why we created Tammy. With Tammy, one can access information right from discord with Google, Wiki, Weather support and much more! This is a game-changer for individuals that play fast-paced games (such as the developer team) where they now can get information without being gone from the game for extended periods of time.
What it does
Our discord bot Tammy can fulfill all your Wikipedia wishes by searching for requested topics and replying instantaneously. Tammy can also host games for members to play and tell jokes to lighten the mood. Additionally, Tammy can help individuals cope with loneliness during the Covid-19 pandemic by holding interactive conversations with different members using her many commands interpreted using natural language processing. Since Tammy is a discord bot, it is very easy to add it to any discord server with all you're friends and family for everyone to enjoy.
How we built it
Tammy was built using Python for the back end as it is a discord bot. We used many Python libraries in order to handle the many requests the users may throw at it. The discord library was crucial to the creation of Tammy as she is a discord bot after all. To handle Google, Dictionary, Weather, and Wikipedia requests we implemented and learned many new libraries in order to make Tammy feel like a real personal assistant to chat with on your discord window. In order to host Tammy and the website to bring Tammy to your own server, we use Google Cloud Credits to set up a Windows machine to run Tammy and host our website.
Challenges we ran into
We ran into numerous problems while programming our discord bot. As a group, we are new at GitHub so it was challenging to figure out how to pull and push from different branches. After spending multiple hours learning how to use Git we ran into another problem with our project. We wanted to create a discord bot, however, none of us knew how to use Javascript, and we had very little knowledge in Python. Nonetheless, we were committed. Slowly climbing the learning curve, we learned many libraries and learned the syntax of these new languages to create Tammy, you're discord bot to fulfill all you're quarantine needs. A massive headache of a challenge for is was implementing the functions of the game. Not knowing asynchronous programming and now sure how to handle multiple inputs and outputs from discord chats, implementing the games took two days of researching and debugging.
Accomplishments that we are proud of
We are especially proud that in only 36 hours we were able to accomplish building and hosting a python based interactive bot named Tammy. At the start of the hackathon, we had no clue where to start and what to create. The fact that most of the team is unfamiliar with Python (as we generally use Java & C++), and we still yet managed to create a working bot with an unfamiliar language is astonishing. Each team member worked hard to learn new things and take Tammy further to create a platform that handles it all accurately and efficiently, all while working remotely.
What we learned
For the majority of our group this Hackathon, our very first, improved our knowledge of Python and also taught us that implementing a simple discord bot in Python proves to be a very difficult task. Having very little Python knowledge and no knowledge of any Python libraries forces us to spend time looking at the different API’s and learning how to implement all the API’s in order for Tammy to have the useful features she yields right now.
What's next for Tammy
In the future, we would like to implement speech to text and text to mp3 in order for the user to jump into a channel with the bot and talk to it. This would make accessing information very easy and would not require the user to take their eyes or swap windows from their current tasks. The reason it is not implemented at the moment is due to the fact that no stable libraries support retrieving audio from a discord channel, and we are hoping to work around that issue. The bot currently is able to join a channel the user is in, however, we would like to add the functionality for the bot to listen for the user. This would allow it to convert the speech to text for the bot to intemperate and respond accordingly. Furthermore, there will always be more text changes and fun things to keep Tammy users entertained. We look forward to making Tammy’s language more natural and adding more fun surprises and informative commands.
Built With
batchfile
css
html
javascript
python
shell
Try it out
github.com
talktotammy.ml | Talk To Tammy | Tammy is an interactive discord bot who can play games, answer questions, and fulfill all your Wikipedia and Google needs. | ['Daniel Qiu', 'Rohan Singh', 'Lauren Rowe', 'Chris King'] | [] | ['batchfile', 'css', 'html', 'javascript', 'python', 'shell'] | 31 |
10,133 | https://devpost.com/software/idk-vs6bo0 | Home Page
Settings Page for the Host
Invalid Access Code
Guest Lobby
Choose Categories
Vote on Each Restaurant
More Info About Restaurant
Waiting on Other Users
Top 3 Results
Inspiration
Whenever a person in our friend group asked what we should eat for dinner together, they would always be met with an IDK. Many times we were trying to figure out what to eat when we were together. It would end up with us spending a lot of time debating on where to go. We needed a way to help us decide on what to do.
What it does
Each user can join a group created by the host. The host decides on the max range to search for restaurants. From there, all users choose which types of foods they may want to eat (Indian, Chinese, Vegetarian, etc.). Once everyone has submitted their choice, the app will present the user with a bunch of restaurants from Yelp based on the location of the host and types of food chosen. The user will swipe right or left on each restaurant (Tinder style!) to vote on which restaurants they want to eat at. Tapping on the restaurant will pull up a page with more information regarding it, such as images, reviews, and a Google map with its location. Once everyone has finished voting, the app will display the top 3 choices in order.
How we built it
For the mobile app, we used flutter. Flutter is a framework by Google based on dart. It is cross-platform and can work for Android and iOS. For the server, Node.js was used, as well as MongoDB for the database. Pusher was used to notify the users when all the submissions were in and they can move on to the next phase.
Challenges we ran into
The major challenges that we had were mainly just learning how to use the new tools. One person had some experience in Flutter, and others had some experience in Node.js, however none was extremely proficient at it. Additionally, this was the first time any of us used MongoDB and Pusher, so a lot of time was spent on learning it.
Also, since most members did not know Flutter, it took quite some time to thoroughly test the mobile app, especially with the long build times that come with mobile development.
Accomplishments that we are proud of
Honestly, we are proud that we were able to finish such a project. It seemed a trivial task at first, however as we started exploring the tools and developing, it quickly became a large task. In addition, despite being friends for so long, this is the first hackathon that we did in over several years together. Being able to finish, especially in these circumstances caused by Covid-19.
What we learned
We learned how to use Pusher to setup listening channels on the devices and MongoDB to store information, and we were able to teach and help each other about client-server connections, Flutter, and Node.js. While we worked on different parts, we made sure everyone had a basic understanding of what was going.
What's next for IDK
The next step for IDK is to expand and encompass more than just deciding restaurants. Initially it would incloud locations and activities. Eventually, we hope that it could include any of the user-choices.
Built With
flutter
google-maps
mongodb
node.js
pusher
yelp
Try it out
github.com | IDK | What do you want to eat? uhh...IDK. Great idea, we'll use the IDK app to help us decide! | ['Nachiket Ingle', 'Kevin Luo', 'Aaron Chen'] | [] | ['flutter', 'google-maps', 'mongodb', 'node.js', 'pusher', 'yelp'] | 32 |
10,133 | https://devpost.com/software/match-thon | Signup page -- where a new user enters.
After signing in. We use cookies to keep users logged in.
Login page -- fast switch.
Hey, look! Simon requested me. That's nice.
Browsing other hackers. This gibme user seems pretty cool, Imma add him.
Problem Statement
There are a number of dating services available, but for a certain demographic, unsuitable. Developers are creatures deprived of social interaction with two primary traits: their ugliness and their loneliness. There is an inherent lack of services which pertain to them.
Solution
As such, Match.thon was developed with the goal of, not creating a social life for developers (that’s frankly impossible), but rather providing a temporary connection with another developer for hackathons. All a developer has to do is sign up, then start browsing the profiles of other developers. If they found one with the tech stack they like, they can send a request. If the developer who received the request accepted, then they have matched.
Dependencies
Match.thon utilized several technologies. First, it used the relational database management system (RDBMS) Postgresql to store the information of its users and their relationships to one another. On the backend, it used Express.js and Node.js to serve the static HTML, CSS, and Javascript files, as well as act as an API layer between the database and the client. While an HTML file was present on the frontend, the site was dynamically rendered with vanilla Javascript.
Future Scope
In the future, Match.thon can implement a chat feature using sockets. It would also be best to fix the cybersecurity flaws introduced with the use of vanilla javascript and an SQL-based database, as well as the time constraints of a hackathon. Considering the extensive use of innerHTML, it would be fairly easy to perform an HTML injection. Not only were database queries not sanitized (meaning it would be simple to perform an SQL injection), passwords were furthermore stored in plaintext, and potentially sent from server to client. Match.thon, while a fully functional service, is not ready for production.
Bobby Tables
.
Getting Started
MacOS
Requirements
yarn:
brew install yarn
postgresql:
brew install postgresql
Setting Up
Enter the project's directory. Then, enter the backend directory.
cd backend
Download the dependencies for the Node.js environment.
yarn
Start the Relational Database Management System (RDBMS).
brew services start postgresql
Access the RDBMS.
psql postgres
Add your profile to the RDBMS.
CREATE ROLE me WITH LOGIN PASSWORD 'password';
ALTER ROLE me CREATEDB;
\q
Once you've exited it, re-enter with your profile.
psql -d postgres -U me
Create the database structure.
CREATE DATABASE api;
\c api
CREATE TABLE users (
ID SERIAL PRIMARY KEY,
name VARCHAR(30),
email VARCHAR(30),
password VARCHAR(30),
username VARCHAR(30),
description VARCHAR(500),
sex VARCHAR(10),
languages VARCHAR(100),
searching VARCHAR(5),
github VARCHAR(30),
);
CREATE TABLE userconnections (
ID SERIAL PRIMARY KEY,
first_user INT REFERENCES users(id),
second_user INT REFERENCES users(id),
);
\q
Reenter the project's main directory.
cd ../
Start the website.
node backend/app.js
You can now visit the website at
localhost:3000
!
Authors
Lucas Sta Maria -
sm49697
Simon Huang -
simonyellow
Built With
css3
express.js
html5
javascript
node.js
pg
postgresql
Try it out
github.com | Match.thon | Match.com, but for hackathons. Totally not copyright-infringing. | ['Lucas SM', 'Simon Huang'] | [] | ['css3', 'express.js', 'html5', 'javascript', 'node.js', 'pg', 'postgresql'] | 33 |
10,133 | https://devpost.com/software/virtual-assistant-1hsz7f | Inspiration
Due to COVID-19, many people went to unemployment and had a lot of financial difficulties. It gives people a new opportunity to start work from home during this pandemic.
What it does
This app not only provides them an opportunity to get hired but also creating their own business. If people need some courses, this app gives them an opportunity to learn.
How I built it
I built it using android studio project
Challenges I ran into
I ran into multiple challenges while creating the app because it was my first time. Due to which my app is still unfinished.
Accomplishments that I'm proud of
I am proud of where I am in this completion. This is my first hackathon. I did face some issues, but attending the workshops was helpful.
What I learned
I have learned a lot of things including how to to do blockchain and how to make apps with Andriod studio. | Virtual assistant | Due to the COVID-19, there was a lot of people who went to unemployment and lost their jobs.So I thought to create a project to resolve the unemployment and people will be able to get to make | ['Unaiza Nizami'] | [] | [] | 34 |
10,133 | https://devpost.com/software/classifyit | Sandal Classification
Shark Example
Different Computer Vision tasks
Inspiration
Being curious about how face recognition tools work, I wanted to learn about its implementation and dig in more into the machine learning field, thus I decided to pursue this with image recognition and classification for this project, adding a touch of offline capability to it. Being able to use an app like this offline allows people with no internet access to still be able to classify images in this case, but this could also apply to doctors in areas with poor connection to be able to use to identify and classify types of parasites, bacterias, or other organisms that can help save people's lives.
What it does
This TensorFlow web application lets users classify images either taken live through their device's camera or locally by uploading one. The app uses a trained model converted to the TensorFlow.js format to provide the predictions for each image chosen with percentages shown of its confidence in inferring what it is. The serviceworker also lets user to be able to use this offline.
How I built it
I built it using React and tensorflow for the web application the and model, with html and css for the front-end. I used IBM Watson's ML resource platform for the model training. Most importantly, I made use of service workers making it a progressive web app that can provide offline functionality, as shown in the demo.
Challenges I ran into
Challenges included to integrate the model into the React app and getting used to IBM Watson ML's platform being new to it. Figuring out how to also allow camera device to be used was a challenge I ran into.
Accomplishments that I'm proud of
I am most proud of tackling the ML field that I have recently been curious about, and focusing on computer vision, and also to use new technologies such as Watson ML platform to create and train models. I am also proud of having been able to not only have the uploading feature available, but also the live camera use, as well as being able to use the app offline with serviceworkers.
What I learned
I learned how to make a machine learning app that classifies images, and integrate that within a React app. I also learned how to make a progressive web app using serviceworkers. I also learned how much classification instances is used in the real world through research, and that computer vision can not only detect and classify, but can also track objects.
What's next for ClassifyIT
Next, I will take this progressive web app one step further and explore the facial recognition field of Machine Learning. I want to be able to learn how to recognize people's faces, and not only objects or images. Also, I am planning on making Visionary into a mobile app for even easier access to users.
Built With
css
html
indexeddb
javascript
python
react
tensorflow
Try it out
samehomebut.online
github.com | ClassifyIT | A progressive web app for offline image recognition and classification | ['Alex W'] | [] | ['css', 'html', 'indexeddb', 'javascript', 'python', 'react', 'tensorflow'] | 35 |
10,133 | https://devpost.com/software/accelerator-s0u4ey | The thing is staying at home at this point of time is quite necessary at this point of global pandemic but as a teenager(I am 16 years old), I feel it to be very difficult to stay home as it has been 4 months since I last went out. At this point I thought of building something productive that keeps me engaged for a long time. It is actually fun to play with.
Detects if people are present or if the camera is being covered. In either scenario, a signal to lock the firearm and stop it from firing is given. If the trigger is pulled while the gun is pointed at people, emergency services are notified via automated phone calls giving the exact location of the incident (from a GPS sensor). I usually have around 48 hours to create something from scratch and have it functional enough to present at the end of every hackathon. At the beginning of the vent, my team meets to dish out responsibilities, set sub-deadlines, and then start hacking.“The best way to learn is to do.” And Hackathon is a perfect chance to try new tech. I can fantasize all day about what else once program or app could and should do. Fact of the matter is though, all these add-ons take real time to implement. And even though the time limit is extreme for an event like this, that fact is still true in real life for any real life problem I would like to solve. Time is a limited resource.
Built With
accelerometer
android
camera-plus
google-maps
gps
php
python
vr
Try it out
github.com | Gun Pointer | A camera and accelerometer mounted on a firearm sends live video to computer vision processing, which then detects if people are present or if the camera is being covered. | ['Udayan Chatterjee'] | [] | ['accelerometer', 'android', 'camera-plus', 'google-maps', 'gps', 'php', 'python', 'vr'] | 36 |
10,133 | https://devpost.com/software/ppe-sanitization-box | Plastic pollution from Personal Protective Equipment
Shortage of PPE endangering healthcare workers worlwide
UV Disinfection
Inspiration
The rise in demand of the PPE equipment across the globe during this pandemic led to a new type of pollution known as the PPE pollution. Front-line health care workers across the United States report shortages of PPE ranging from gloves, protective gowns, eye wear and face masks. So we got into thinking how to reuse masks and conserve masks for people on the COVID-19 frontlines.
In a
materials science study of N95 face masks by Stanford medicine
, an efficient disinfection method was found to be UV light treatment (254 nm, 8W, 30 min). And this method can be used for a maximum of 10 times for disinfecting face masks.
So, we designed an android application connected to a box fitted with an UV lamp that can guide us through the procedure of disinfecting and reusing face masks under UV treatment for a maximum of 10 times per mask.
What it does
All the masks and other PPEs are provided with an unique id. The user places the mask inside the UV sanitization box for 4 minutes and enters the mask id. This also updates the list in the app and starts a timer for 4 minutes. After the end of 4 minutes, user is notified to put the equipment into the isolation chamber for another 72 hours to eradicate any virus still holding on to the equipment. This treatment will ensure that the corona virus is reduced by a significant amount as a
research by “N. Engl. J. Med.”
shows that corona virus cannot live on surfaces for more than 72 hours.
How we built it
The sanitization box has a UV lamp inside which is controlled by the Arduino. Also connected to arduino are a numpad to feed the equipment ID, a LCD screen to display the id and time remaining and a NodeMcu which is connected to a realtime Firebase database. On entering a new ID, Arduino starts a timer and NodeMcu updates the database which is connected to an Android app. The app keeps track of which equipment has been sanitized how many times and how much time is remaining for it to be sanitized.
Please note: We used LEDs instead of UV lamps in our prototype as without proper enclosure, exposure to UV light can pose serious health risks.
Social impact
This method of PPE sanitization and reuse can greatly reduce the number of protective gear that are discarded after single use, help in reducing pollution and also make sure that sudden surge in demands of PPE does not have a huge impact on supply chain. It can educate people on how careful and safe re-usability is possible in these difficult times.
Challenges we ran into
It was particularly difficult adding a screen, a keypad and NodeMcu to a single Arduino board. Setting up proper serial communication between arduino and nodemcu and formatting properly was a real challenge.
Accomplishments that we're proud of
This was the first for both of us for working with Firebase and NodeMcu. We are proud that we were able to create a prototype in the time provided.
What we learned
Using Firebase
Using NodeMcu
Learnt how different surfaces affect how long the viruses can survive on them.
Learnt how different masks work and how different cleaning processes affect their efficiency.
What's next for PPE Sanitization Box
Making a prototype using proper UV enclosure and testing it at a local healthcare facility.
Built With
android-studio
arduino
firebase
nodemcu
Try it out
github.com | PPE Sanitization Box | Providing a way to safely reuse PPE such as gloves and masks to reduce pollution | ['Jatin Dehmiwal', 'Jashanjot Pruthi'] | [] | ['android-studio', 'arduino', 'firebase', 'nodemcu'] | 37 |
10,133 | https://devpost.com/software/tutorbot | Landing Page
Thread
Conceptualizing
Inspiration
Traditional Q&A forums are not suitable for asking quick questions. You always have that fear of "asking a dumb question" in public. Tutorbot team came up with a convenient and stress-free method for seeking a quick help within your community.
What It Does
Student's Perspective
When you get stuck, you can put out an "SOS" with a simple command from your discord server.
!sos c++ c : How is std::unique_ptr different from pointers?
This SOS signal will notify mentors who have both
c++
and
c
skills. They will quickly answer your short question, and they can even stay to have helpful conversations with you.
Mentor's Perspective
If you want to help other people, you can register yourself as a mentor. Just type in a command with your technical stack.
!register python js react
Now, you will get notified by Tutorbot if someone out there desperately needs your help.
Of course, it can be difficult to help multiple people at simultaneously. You can always mark yourself "busy" by letting Tutorbot know.
!busy
Just do not forget to delete the "busy" status after you're done.
!free
Easter-egg
!wisdom
How I Built It
Tutorbot is powered by Python and Discord API.
discord.py
library is used to access Discord API, and Tutorbot is deployed on Heroku hosting service.
Here's
a google doc
that we used for planning & organizing specs.
Story of Tutorbot Team
Tutorbot team is an ad-hoc team assembled right after the opening ceremony of Same Home Different Hacks event, so we had very diverse programming experience. However, when we decided to develop Tutorbot, everyone was eager to make it happen by learning new material. Tutorbot team believes our project can actually benefit many programmers' communities like MLH, so we will continue seeking contributions to Tutorbot project after this event.
What's Next for Tutorbot
Here are a few idea that can make Tutorbot more useful to communities:
Provide a method to access help from external services like StackOverflow, GitHub and Reddit.
If a mentor forgets to erase "busy" status after one's mentoring session, automatically erase the busy status after N hours.
Publish discussions from discord to online Q&A forum, if it can help general population and worth sharing.
Built With
python
Try it out
0916dhkim.github.io
github.com | Tutorbot | Find Your Yoda. A Mentor-Matching Service Bot for Programming Communities | ['Donghyeon Kim', 'Udayan Chatterjee', 'Daniel Benton'] | [] | ['python'] | 38 |
10,133 | https://devpost.com/software/prosfero | 2 - Home Page - Scroll Down
6 - Artist Sign Up
7 - Figma
8 - Figma
5 - Search Charities
4 - Searching Through Artists
3 - Search By Artist
9 - Blooper 1
1 - Home Page
9 - Blooper 2
INSPIRATION
We were inspired by the current events, which we felt highlighted the generosity of a large percent of the population in their efforts to promote and support important movements and organizations. Specifically, we saw many of our peers creating fundraisers to donate money to organizations such as Black Lives Matter, the NAACP Legal Defense Fund, The Bail Project, and more. As artists ourselves, we strived to contribute to these movements with our talents, creating posters and promotional materials.
We created prosféro to transform the way in which artists can contribute their talents to activism and altruism. prosféro is a Greek word meaning "to donate" and our web app provides a platform for artists to sell their artwork to clients who donate to charities, non-profits, and other organizations on a commission basis.
HOW IT WORKS
prosféro allows artists to sign up for commissions, inputting their information and activism area of choice into a database. Then, customers can peruse prosféro's list of artists based on medium and charity type, and choose to contact an artist to proceed with a commission. To hire an artist for a commission, the customer can then donate to a charity that matches the artist's required donation amount and chosen charity type. Then, we provide a form to contact the artist and upload proof of the donation, which gets sent to the artist. Additionally, we provide the artist's contact information should the customer wish to speak with them on a different platform. The artist then proceeds with the commission, sending the artwork back to the customer.
HOW WE BUILT IT
We used HTML, CSS, and JavaScript to create a robust website. Additionally, we used Bootstrap to add elegant elements to our website. We integrated our web app with Firebase to allow artists to input their information, store it, retrieve the information, and display it back to the customer. The result: prosféro is a dynamic and efficient platform for supporting humanitarian causes!
CHALLENGES
All of us are first-time hackers, due to the constraints of an online hackathon, we found it difficult to make sure our edits did not overlap and to satisfy all of our expectations. We were able to manage this with good communication and using Git for version control. Additionally, 2/3 of us have never used HTML, CSS, JavaScript, or Firebase before, so it was a steep learning curve to become accustomed these tools and skills while creating a web app using them (and doing it all virtually!). We also had a teammate have a personal situation come up thus unfortunately lost a team member midway. However, all of us agree that this was one of the most difficult but interesting projects we have completed, and we are extremely proud of how it has turned out.
Built With
bootstrap
css
firebase
flask
html
javascript
postgresql
react
Try it out
sohinik.github.io | prosféro | prosféro is a way for artists to turn their art into charitable contributions. in an era of activism, artists are at the forefront of using their talent for a way to promote societal change. | ['Sohini Kar', 'Derek Velez', 'Ariana Adames'] | [] | ['bootstrap', 'css', 'firebase', 'flask', 'html', 'javascript', 'postgresql', 'react'] | 39 |
10,133 | https://devpost.com/software/university-selector-gocnr9 | Home page for the website.
Inspiration
Because of this pandemic, many universities are not getting applicants and students are not able to apply. So I wanted to create a site using which people could easily apply.
What it does
As of now, all it does is list universities and has an easy apply option. Universities can contact us to have it listed online.
How I built it
I built this with the help of bootstrap.
Challenges I ran into
I have never used bootstrap before and it took quite some work getting used to.
Accomplishments that I'm proud of
It was my first time with bootstrap and I have actually learnt how to use this.
What I learned
bootstrap and bootstrap studio
What's next for University Selector
remember students choices and recommend universities for them.
Built With
bootstrap
bootstrap-studio
html5
Try it out
github.com
vishnusreddy.me | University Selector | A place where students can look at the universities available and then apply directly or through us. | ['Vishnu S Reddy'] | [] | ['bootstrap', 'bootstrap-studio', 'html5'] | 40 |
10,133 | https://devpost.com/software/uplift-f1jie3 | Inspiration
During this season of COVID-19, it can be difficult to stay positive, especially with increased exposure to social media. We wanted a simple way to inspire happiness and positivity, not only in others but also in ourselves. Uplift is a simple and direct way to encourage and support yourself and your friends.
What it does
Uplift's core feature is snippet-sending, which is essentially sending short messages to yourself and other people. These messages get saved in your message bank, where you can see all past messages you sent yourself and messages other people sent you. As an Uplifter, make an account to start sending and receiving encouragement to you and a randomly chosen friend. Check out a randomly chosen message for inspiration!
How we built it
We used React.js for the frontend, which communicates with an Express.js backend. This is all brought together with Firebase (database, authentication). Uplift is currently hosted on Heroku.
Challenges we ran into
It was rather challenging to keep the app as minimalistic as possible. We wanted to add all these cool features (points system, avatars, rewards, streaks, etc), but we needed to narrow down our feature set to highlight the actual messages our users send. All the other peripheral features, we decided, would only distract from the core mission
In addition, finding a seamless way to integrate the two-piece web-app with the database, then host the app, was tricky. Deployment took more hours than expected, but it was done successfully in the end.
Accomplishments that we're proud of
We pride ourselves on our minimalistic design, streamlined user experience, and responsive layout. A lot of thought was put into the design of the homepage, specifically on how to best highlight the purpose of Uplift. A clear call to action was paramount in this design.
What we learned
Some of our team used to React for the first time! They are happy to report that they love it and will be using it in the future.
Also, as a team, we now know to allocate more manhours to integration and deployment. The deployment process required a surprising amount of code edits, especially in our attempt to deploy to Google Cloud. Planning contingency time into our schedule is crucial.
What's next for Uplift
Our next steps will be to integrate a strong incentive to send messages. With more personalized and genuine messages, the Uplift support network grows stronger and benefits all of its users. We also hope to increase the number of users, so that each user has a more complete Uplift network, and thus a stronger support group.
Built With
express.js
firebase
node.js
react
Try it out
team-uplift.herokuapp.com
github.com
team-uplift.tech | Uplift | The Ultimate Self-Love Platform. Uplift is a mobile-friendly web-app that promotes mental health and combats negative self-image, which is increasingly prevalent in young adults today. | ['Jonathan Cheng', 'Sean Prendi', 'Anna Lulushi'] | [] | ['express.js', 'firebase', 'node.js', 'react'] | 41 |
10,133 | https://devpost.com/software/neox | Base code for the project (in development)
Developing website using Python
Running the server in localhost
Repo being hosted in GitHub
Admin login page
Base user web page
Admin interface
Server currently running in background
Before this project
Before creating this site, I didn't knew that Python can be used for Web development, this is the first time I'm using Python for Web development!
Inspiration
When I asked some of my friends about some topics (yeah, they're not from CS/IT field), they asked "Huh? What is that??! I didn't know and I never heard of it!". Then I had to start over the topic, teach them... So, I had the idea of how about creating a website that integrates some frameworks and then teach the user what it is, how it works etc. We just learned programming languages like C++, Python just basically. So, that's the reason I made this project to compel that programming languages can be used to create softwares and web app stuffs
What it does
So basically NeoX is just a web app in which users can access a library. It is a full fledged web app such that it works perfectly like a full stack app (probably). It is an OPAC web app which library members can track the books, name of the authors etc from the webpage. (
I didn't publish my project using Heroku due to system issues
)
How I built it
This project is mainly built on Django framework! I've used the grappelli theme for the admin UI page. So, yes this is mainly built using Python3, Django, HTML, CSS and Bootstrap
Challenges I ran into
The main challenge I took is to learn the framework and design it properly. Yes! I've never used Django framework before! But somehow, I got my interest on it! So, I wanted to use that and show it to the people, how the framework would be like! That's why I named my project as
NeoX
to imply it as a new learning method!
Accomplishments that I'm proud of
I'm proud because I've learned to use how to use the python3 for
Web Development
. Before that, I knew some basics and tried to learn ML using Juypter Notebook. Later, while surfing the net I came to know about that python can be even used for web development. So, yep. That's much of it.
What I learned
1.How python can be used for Web Development,
2.Basics of Django Framework,
3.How to modify and properly use the classes in the python code,
4.Building a proper website
Warnings
I shouldn't have said it but this app just works only within localhost (ie, within a system) due to technical issues. And the user can't see the user page properly due to incomplete models and plain user page UI.
So, that's much of it and I hope you guys may have enjoyed it. Thank you so much for this opportunity. THANK YOU, MLH! <3
Built With
bootstrap
css3
django
html5
node.js
python
Try it out
github.com | NeoX | A basic library OPAC web app created using Django and Python | ['Aadhitya A'] | [] | ['bootstrap', 'css3', 'django', 'html5', 'node.js', 'python'] | 42 |
10,133 | https://devpost.com/software/click-to-split | Inspiration
On a monthly basis roommates have to split rent, electricity, gas, internet, cable, and food bills. One night out with friends can have numerous bills to split and can result in one friend paying more than they should. I wanted to create something that would keep track of how much each user pays and how much each user owes towards each bill so in the end every user pays what they owe and no one is left being owed money.
What it does
This app keeps track of how much each member has paid and how much is owed to each member. Multiple bills can be added and they can be split evenly or split in a specific way. When you are ready to settle up the app will tell you who pays who and how much so that everyone receives what they are owed.
How I built it
I built this using a linked list data structure in javascript. I created all of the methods and functions I would need then created the web page using html and css. I then linked all the buttons and input fields with the appropriate javascript functions to get everything working. I also added some checks that will throw out error messages to prevent the user from adding incorrect data and making the calculations off.
Challenges I ran into
I am not very experienced with javascript so I had to google many things to figure them out. I was also not able to figure out how to store the variables so they would not be lost after refreshing.
Accomplishments that I'm proud of
This is the first time I have built a website that required some back-end functionality. I have solved problems using java in school and have created basic websites, but this was the first time putting the two together.
What I learned
I learned a lot about javascript that I didn't know before. I was very beginner, but struggling with this project made me learn a lot very quickly.
What's next for click to split
I will figure out how to store the data so that it can survive a refresh. I will also work on the design to make it look nicer. I also plan on adding the functionality to settle the bill for a single user and continue with the remaining users. For example on a night out with friends, one may have to leave early so I would want to be able to close out the tab on that user while allowing the remaining users to continue to track their spending.
Built With
css3
html5
javascript
Try it out
carlosalima.com | click to split | Split multiple bills with your friends whether it's a night out or your monthly bills. This app will make sure everyone is paid what they are owed when all is settled. | ['Carlos Lima'] | [] | ['css3', 'html5', 'javascript'] | 43 |
10,133 | https://devpost.com/software/covid-19-rescue | This is screen shot of the Corona Relief App Running on Microsoft PowerPlatform
Inspiration
I saw that many people who are poor or belongs to middle class families are facing Food Scarcity due to this Covid-19 Pandemic because their income source is stopped due to the Lockdown. There are many pregnants women, children, old aged people who are facing the same situation and they cannot afford food for them because they are in short of money and they are helpless.
I saw that many organizations are helping these kinds of people by are taking live call in Television Channels to address people problems and helping as they require. Only one calls can be taken at a time on a live television. Also, there will be problem of network Busy and those organizations cant reach many people in this way. So I thought to develop and application so that people can report their problem and the organizations will get to know about the problem and help them as they need.
What it does
Basically my app minimizes and speeds up the process of addressing people Problem so that their problems can be fixed as soon as possible in this Pandemic. So when the app runs, user will enter their name and they need to choose whether they want to request for Food Help(Basic Need Relief) or Corona Check(this is additional feature added in app) When they choose the Food Help or Basic Need Relief then they will be asked with several questions such as total family member, no of pregnant women, kids, old aged, and remaining food stock, and also a option to send an attachment.
Whereas, when people will choose the option for corona check then they will be asked with several questions like gender, what the symptoms seen on person so you are checking corona, has he came from abroad or not and so on..
.
Now, When the user will submit this information then these data will be recorded in Microsoft Sharepoint where the admin or the organization can view the problems or people along with the
GPS CORDINATES
and
Date
that will be automatically sent while submitting the problem inside the app.
Then from this information, the organization can directly go with the necessary relief to the needed families using the GPS Cordinates that is sent while submitting the app
How I built it
I built it using the Microsoft Power Platform
Challenges I ran into
I had learnt some Flutter. And I was trying to make this app using Flutter but my laptop got some ransomware and i lost my everything and I reformatted it again and installed flutter. I did made the forms but the conditional things, GPS Location and so on was very complex for me as I am beginner to Flutter. And learning everyconcepts from the beginning and developing the app would really be difficult and time consuming.
Then I heard about Microsoft Power Apps, I already had and idea and I just needed to implement it properly so I started learning Microsoft PowerApps and I tried to bring my idea to life. Using PowerPlatform also I had some Difficulties in Conditional Forms for Corona Check and Basic Need Relif. But finally I figured it our after couple of research.
Accomplishments that I'm proud of
I don
t know that the project I have made will be used by some organizations that are really doing these kinds of Relief Programmes but I think this app will really be helpful for them because if they can address many people problems in less time then they can provide reliefs to many people as possible and poor and needy people as well as middle class people who are deprived of food, pregnant womens, kids who are not getting nutritious food due to the Covid-19 Pandemic and lock down in the country will get relief and should not die out of hunger. Because we dont
t know how long this Pandemic is going to take place.
What I learned
I was complete beginner to Microsoft Power Platform. But I had an idea that must be implemented to help people so I started learning by heart and got to know many things about the Microsoft Power Apps and I think it also increased my creative skills and logical thinking capacity.
What's next for Covid-19 Rescue
Currently this app can be run under the Microsoft PowerPlatform only but it needs to be platform-independent. So I am planning to make it platform independent very soon if I will get some good mentors to support my project.I have also planned many other features in this app that can be really beneficial and helpful for the people facing Covid-19 Pandemic. I think this kinds of apps must be developed to address poor people`s problem who can be helped by the person who can help them.
Problem sending app demo link
Since it is dependent on Microsoft PowerPlatform. I require your email to show you this app. It must be opened within Microsoft Power Platform so i couldnot send the link but i have sent image on how it looks when the app is running and demo video for working of the app.
Built With
powerplatform | Corona Relief | My idea is to let the poor and middle class families get chance to request food help as well as Corona Check within the app so the helping organizations or teams can reach them with the solutions. | ['Naseeb Dangi'] | ['The Wolfram Award'] | ['powerplatform'] | 44 |
10,133 | https://devpost.com/software/dr-covid-9s4vdm | Dr COVID Logo
Developers
We are 4 developers with very different backgrounds who came together with a common objective in mind:"
Educate people about the pandemic with facts in their language
". A lot of people who cannot read or write often fall prey to the mass misinformation and blindly believe everything that is said to them, this creates a hurdle in the community efforts in breaking the chain.
What our app does
Dr
COVID
is your
Corona Oriented Vital Information and Details assistant
, which can share facts derived from trusted sources to the users in both textual and audio format.
We provide services like quizzes, Real time Covid dashboard and Helpline contact information through which the users can track the situation and educate themselves in the comfort of their houses.
How we built it
Through strong determination and team work.
Challenges we ran into and how we approached it*
We had a lot of challenges thrown at us at every turn in our development process, Lot of technologies we used were new to us and demanded us to spend hours learning it. We had lots of ideas, which we had to shortlist and carefully plan our actions since we are racing against time and all of us have to build the components separately at the same time coordinating with the team members simultaneously. We used Divide and Conquor technique effectively to evenly spread and make most of our time and finally here we are standing together as a team with our final submission, but we do intend to further develop it and make it better .... for the technical future ahead!
What we learnt
We as a team learnt that nothing is impossible when developers come together to make an impact.
What's next for Dr COVID
This is only small step against towards our objective "
Correct and factual information for all
" We are planning to expand
beyond COVID
and help even the illiterates know and understand their role in the community in breaking the chain. We want to provide many more medical services through our app on demand basis and at an affordable cost.
Built With
css
dialogflow
folium
google-assistant
google-cloud
google-maps
google-places
html5
java
javascript
material-design
python
Try it out
github.com | Dr COVID | Our app is built with a strong motive to eliminate any confusion and misinformation regarding the COVID-19 Pandemic of a comman man in the language they speaks .While providing additional services. | ['anush krishna v', 'Prahitha Movva', 'Akshita Sharma', 'Manish Chandra'] | [] | ['css', 'dialogflow', 'folium', 'google-assistant', 'google-cloud', 'google-maps', 'google-places', 'html5', 'java', 'javascript', 'material-design', 'python'] | 45 |
10,133 | https://devpost.com/software/poornapegada-github-io | Inspiration
COVID-19
Yes, my inspiration is COVID-19 because we are in a state of confusion about what we have to do in the free time, and keeping ourselves mentally strong and healthy.
What it does
You can add your To-Dos and make a to-do list. You can hover over the todos and you will see a nice delete button with the trash can icon. And if you click on that it will delete the todo entirely or if you just click in the text u can check it off. You can also uncheck the todo just clicking the text again. You can add new todo in the "Add To-Do" bar.
If you click on "Have some fun" you will see a blank screen initially if you click keys on the keyboard, music will be played with some animation. Each key corresponds to different music.
How I built it
I have built it using jquery, javascript, HTML, CSS, Paperjs, Howlerjs.
Challenges I ran into
The main challenge I have run into is making the circles change their color while shrinking.
Accomplishments that I'm proud of
I have accomplished the animation part and I am proud of it.
What I learned
I learned how to add animations using paperjs.
Built With
css
howlerjs
html
javascript
jquery
paperjs
Try it out
poornapegada.github.io
github.com | Quarantine TO-DOS with FUN | Make your quarantine life productive with the proper To-Do list daily. | ['poornapegada Poornachander'] | [] | ['css', 'howlerjs', 'html', 'javascript', 'jquery', 'paperjs'] | 46 |
10,133 | https://devpost.com/software/go-corona | Use sanitizers to kill corona virus
Maintain social distancing
Inspiration
Inspired by problems people face because of Corona.
Trying to create awareness while also letting people have fun in quarantine at their homes.
What it does
Main aim of the game was to provide users with a FUN-FILLED EXPERIENCE to spend time and simultaneously RAISE AWARENESS among them about coronavirus and how to fight it.Mainly,kids are the most vulnerable group of our society and if they catch covid,they may end up in critical condition.Since kids are the ones who play games frequently,we felt it's best to raise awareness among them using a game.
How we built it
We build the game using pygame framework in python
Challenges we ran into
We weren't familiar with the Pygame framework in python. So figuring out the various functions and methodologies was difficult yet fulfilling and fruitful.
Positioning characters, elements and state management was also a challenging task.
Accomplishments that we're proud of
It was our first time working so extensively in Pygame, but we managed to overcome those issues within a short span of time and successfully create a game which nearly fits into whatever we planned initially before starting the work on our project.
We learned a lot about functionalities of Pygame and Game development.
What we learned
Pygame: Got a good foundation for game development
Python: A better understanding of Object-Oriented Programming
What's next for Go Corona
Planning to make it a 3-D game with multiple tracks in which Corona will be present. Hoping to add more characters as heroes and adding features that promote home-quarantine, increasing immunity, and being more prudent as citizens of society which act as a score booster in the game.
Built With
pygame
python
Try it out
github.com | Go Corona | A game to create awareness on COVID-19 | ['Abel C Dixon', 'KEVIN VIGI.MATHEW'] | [] | ['pygame', 'python'] | 47 |
10,133 | https://devpost.com/software/art-ideas | Example Tweet
Our SQLite database
Art Ideas logo
Inspiration
We considered ideas for each of the four tracks by thinking of what people would be interested in for each idea. To come up with this idea specifically, one person thought of using a twitter bot, since none of us had experience with that before, and then we thought of how we could incorporate a Twitter Bot with art. Thus, "art ideas" was born.
During quarantine, we found it difficult to come up with art related ideas to pass the time. Finding a book to read or a movie to watch can lead you down long Google threads, even taking you to the infamous second page of Google search results. We wanted to create a tool to help users stuck at home channel their inner artist by providing reasonable and easy ideas for them to use as inspiration!
What it does
We made a twitter bot that gives you ideas! Mention the bot (@artideas10) in a tweet, and use a certain hashtag, and it will reply with an idea and like and retweet your tweet. If you need an idea for something to draw, tweet @artideas with the hashtag #drawings for drawing ideas. You can also use:
#musicals for musical suggestions
#songs for song recommendations
#movies for movies to watch
#books for literature to read
#help to learn more about what the bot does
How I built it
To build the bot, we first applied for twitter developer access to get a Twitter API key. Then, we wrote the bot in Python, using the tweepy module (which implements the twitter API, in python).
After writing the bot in Python, we pushed the code to a github repository and linked that repository to a Heroku app, where we were able to successfully deploy the bot.
For data storage, we used SQLite to store lists of random books, musicals, and other media in our ideas.db file and employed queries to parse the data, passing it to our bot.
Challenges I ran into
Getting Heroku to host and deploy the app was particularly challenging.
We also had to work around Twitter's rate limit on the number of requests per hour—this limited both our ability to test the bot, as well as the functionality of the bot (it delayed responses).
Accomplishments that I'm Proud of
Tweepy is an awesome API to build Twitter bots in python. That's why its name is Tweepy—Twitter + python. When we started making our bot, the first thing we learned is how to use tweepy.
Then we added some images, movie lists, art ideas, etc. to our database with SQL.
After writing the script for our bot in python, the next challenge was to deploy it to cloud.
For deployment, we used Heroku. It was our first time deploying it, so learning how to deploy the bot was an accomplishment.
What I learned
We learned how to use Twitter API / the Python tweepy package, as well as how to host an app on Heroku.
We also learned how to retweet, follow and favorite the tweets, as well as a better understanding on Twitter API.
What's next for Art Ideas
In the future, we could expand Art Ideas by adding support for a wider range of hashtags and increasing support for image inspiration.
The future can’t be determined, as they say, but it can be predicted using Data Science. We can add NLP (Natural Language Processing) to our bot, which can do pretty good sentiment analysis; and we can respond better to the tweets with the help of NLU and Spacy.
The Future is brighter.
Built With
heroku
python
sqlite
tweepy
twitter
Try it out
twitter.com | Art Ideas | Igniting your inner artist during quarantine, one idea at a time. | ['Geoffrey Wu', 'Jayanti Upadhyay', 'Ashish Kumar Panigrahy', 'Alayna Nguyen'] | [] | ['heroku', 'python', 'sqlite', 'tweepy', 'twitter'] | 48 |
10,133 | https://devpost.com/software/vocal-portfolio | Vocal Portfolio Logo
Main Page - Submission of Code
Setting up Portfolio Creation - Uploading Pictures
Final Portfolio Example
Using a Google Nest Mini to build a portfolio
Inspiration
Vocal Portfolio
is inspired in the idea of helping creators of the Art industry
develop and share
their own portfolios in a quick & easy manner with the use of their voice in hardware and a web application!
What it does
Vocal Portfolio
starts with a conversation with the user through a device with the
Google Voice Assistant
to create a portfolio. The gadget greets the user, ask for their type of portfolio, and how many images they want to showcase. The device receives all the user input and saves it in a numeric code. This code is then given to the artist so he can upload his pictures, write a title, and input their social media on the web application. After that, the portfolio is ready to be shared with anyone across the web with the link.
In addition to that, the artist can download the HTML page and add his own designs and ideas.
How I built it
Vocal Portfolio
is built on a combination of hardware and software hosted on Google Cloud. The Google Nest Mini, or any other IoT device powered by Google Assistant, has access to this tool.
Vocal Portfolio
uses Dialogflow and actions by Google to make the conversation flow with the user. This is done by creating Intents and setting up words that trigger the conversation through Dialogflow. To process all the user input and save data to the server, a webhook is necessary. To make this work,
Vocal Portfolio
has a Google Cloud Function written in Node.js that handles all of the data and send a code back to the user.
The web application that receives the code from the user is written in Python (Flask), and it's hosted on Google App Engine. The application uses Google Datastore to store all the information and Google Cloud Storage to save all the images uploaded by the user.
Challenges I ran into
Since this was my first time using Dialogflow and Google actions, I had plenty of challenges while attempting to build a conversation flow. The parameters were not being saved from one conversation to the other, so this required some debugging and documentation digging. After fixing that, I jumped to the development of the webhook. The webhook receives a request but it also needs to provide a response back. This was a major problem because I was dealing with external requests and the webhook would send a response back without waiting for the external request. I spent a long time trying to fix the issue and then I decided to delete the external function and built an equivalent internally. As this was not enough, I had some problems trying to send the upload of multiple files to Google Cloud Storage.
Accomplishments that I'm proud of
This was my first project using a Smart Home device with voice functionality. Therefore, I'm proud of completing a full application that combines hardware and software on the cloud. In addition, I'm proud for developing an impactful solution for artists and people in the creative industry.
What I learned
I learned how to make actions, intents, and conversation flows on a Google Assistant powered gadget. In addition to that, I learned how to integrate a webhook on Google Cloud Functions that allows me to manipulate and save all the data from the user.
Built With
css3
datastore
dialogflow
flask
google-action
google-app-engine
google-cloud
google-cloud-function
google-storage
html5
javascript
node.js
python
Try it out
homeportfolio.appspot.com | Vocal Portfolio | Combining Hardware and Software to develop and share quick portfolios for artists, photographers, writers, and musicians | ['Nathan Kurelo Wilk'] | [] | ['css3', 'datastore', 'dialogflow', 'flask', 'google-action', 'google-app-engine', 'google-cloud', 'google-cloud-function', 'google-storage', 'html5', 'javascript', 'node.js', 'python'] | 49 |
10,133 | https://devpost.com/software/fakenewsify-news-credibility-checker | A peek at the MongoDB database we're using
About
A web app geared towards disclosing real vs fake news articles and sources while visually representing them
Built With
bootstrap
flask
mongodb
newsapi
pymongo
python
Try it out
github.com
fakenewsify.herokuapp.com | FakeNewsify | A web app geared towards disclosing real vs fake news articles and sources while visually representing them | ['Prithviraj Singh Shahani', 'Anushka Saxena', 'Nand Vinchhi', 'Estefania Jimenez', 'Jeremy Nguyen'] | ['Amazon Gift Card'] | ['bootstrap', 'flask', 'mongodb', 'newsapi', 'pymongo', 'python'] | 50 |
10,133 | https://devpost.com/software/suisense | Home Page
Classify your Messages
Progression Analysis
Our Mission
Our Process
Therapist Form
Pairings
Local Support
Support Page
Blog Post
FAQs
Inspiration
While our team has transitioned to quarantine with ease, those suffering from mental instability have struggled. With the insurmountable stress accumulating from quarantine, which can come from being laid off or dealing with an abusive family, people are simply not happy at home.
Thus, we took a unique approach to the “Happy at Home” track.
While it is important to keep people happy through entertainment or productivity hacks, people who suffer from mental instability are even more vulnerable and unproductive due to shelter in place. We believe that mental stability is the
root
of being “Happy at Home”, and addressing those who are struggling the most is of utmost importance.
Social isolation can induce a lot of anxiety which compounds from isolation during quarantine, leaving those that suffer from depression especially vulnerable. The current economic status has prevented a huge group of people from working, which has led to declining mental states and therefore higher suicide rates. Specifically in the Bay Area, where we live, doctors have seen more deaths from suicides than COVID-19.
Facebook and other companies have created algorithms for detecting posts with suicidal sentiment. However, these solutions are insufficient because: 1) people are deterred by robots which provide generic advice and resources, and 2) they are less likely to publicly express their feelings on social media as opposed to privately speaking to their friends in-person or over text. Support and assistance from a friend instead of robots is far more ideal.
The problem is that humans are unable to accurately detect these cryptic phrases that can be considered “suicidal”, let alone distinguish them from less severe depressive sentiment. Additionally, early detection is key as the longer a person is struggling, the more likely they are to commit self-harm. We filled this critical hole through AI and ML, which can find the intricate details and differences in these messages based on comprehensive datasets.
P.S: Our name is SuiSense, which means to have a “sense” for detecting suicide.
What it does
SuiSense is a unique progressive web application that allows concerned family and friends to determine whether their struggling loved one is on the path to suicide. The core of our project is a Natural Language Processing model(sci-kit) that classifies a phrase someone says as representing suicidal tendencies, depression, or neither. Users can input text from their messaging conversations, memory of their in-person conversations, letters, diary entries, or screenshots (powered by TessaractOCR). Classifying between suicide and depression is important because the implications and methods for support are completely different, but determining the difference is a precise task that is best dealt with through ML.
Through extensive research, we were able to find a dataset from Medium which web-scraped reddit with thousands of posts from “r/depression” and “r/SuicideWatch”. We managed, trained, and improved our model using automations from
UIPath AI-Fabric
. We also created a web-scraper to periodically collect data from the subreddits to improve our classifier. We deployed all our models using
Google Cloud
,
UIPath
, and
PythonAnywhere
.
After our model determines a primary classification, we then feed data into our progression model. Psychologist Jesse Bering discovered six stages on the path from depression to suicide, and our model accurately assesses what stage a patient is at and the severity of their depression. This model is trained on metadata containing attributes such as gender, race, employment status, and more.
Next, our framework allows friends and family to find the best therapists to address their specific needs. Our algorithm uses the data from this form along with key words from the original classification to match a user with a therapist that is best suited for them. We store all user data and classifications in Firebase from
Google Cloud
.We also have local therapists and support centers displayed on a Map, powered by the
Google Cloud
Maps API.
Lastly, we have a support page that allows therapists and patients to post on a forum, similar to a blog, creating a safe community for those who feel lonely and isolated.
How we built it
After numerous hours of wireframing, conceptualizing key features, and outlining tasks, we divided the challenge amongst ourselves by assigning Adithya and Ishaan to developing and designing the UI/UX, Ayaan to building the NLP model and training, improving, and testing the model using
UIPath AI-Fabric
automations, and Viraaj to integrate
Google Cloud
Functions, TessaractOCR, and our python webapp.
We coded the entire app in 4 languages:
HTML, CSS, Javascript
, and
Python
(Python3 /iPython). This was our first NLP project, so learning how NLP models work was a daunting task. Luckily,
UIPath/AI-Fabric
provided us with an interactive interface to quickly train, improve, and deploy our models all in the cloud through automations. Developing and optimizing our NLP model and creating our python web was done through
Jupyter Notebook
,
PythonAnywhere
, and
Google Cloud
. We hosted our website through
Netlify
and
Github
.
Challenges we ran into
The primary challenge that arose for us was training and deploying of our model. Since this was our first NLP project, we struggled to train and make predictions with NLP models as our model utilized too much data and local machine power . Luckily, we found
AI-Fabric from UIPath
, which automated the training and testing process for our model.
UIPath
also was integrated into our web app to optimize our deployment process.
Accomplishments we are proud of
We are incredibly proud of how our team found a distinctive yet foundational solution to those who are struggling with mental instability due to external pressures, especially from COVID-19. We feel accomplished because of how efficiently we built off our specific research from various sources and applied them in a technological context to build one comprehensive product. We are extremely proud of developing a solution that has not been previously considered in this setting and putting it into functional form.
What we learned
Our team found it incredibly fulfilling to use our Machine Learning knowledge in a way that could effectively assist people struggling with their mental health, especially during such a strenuous time where their existing difficulties are amplified. Seeing how we could use our software engineering skills to impact people who are often ignored and stigmatized in society was the highlight of our weekend.
From a software perspective, learning NLP was our main focus this weekend, as it was our next step in our ML journey. Most importantly, learning
AI-Fabric from UIPath
was a phenomenal method for automating our training, testing, and deployment of our machine taxing models, and we will continue to use
UIPath
for future ML automations.
What is next for SuiSense
We aim to integrate SuiSense in schools and workplaces. These are high pressure environments where people’s mental health is gradually deteriorating; we feel that our software will allow compassionate friends to accurately recognize their peers’ struggles and provide them with personalized and trustworthy support.
For our application, we want to integrate more
UIPath
automations for our algorithm and website because it made the process incredibly easy. We also want to improve our progression model to better classify and diagnose depression and suicidal progression in patients, which would allow therapists or friends to better understand who they are trying to help.
Demo(if youtube isn’t working):
https://drive.google.com/file/d/1FbF8uynkRqq9fHK7epFwzSeWaRmB3G-7/view?usp=sharing
Built With
ai
automation
css3
domain.com
firebase
google-cloud
google-hosting
google-maps
html5
javascript
jupyter-notebook
ml
natural-language-processing
tessaract
uipath
Try it out
suisense.space
github.com | SuiSense | Using NLP to distinguish suicidal messages and provide personalized support. | ['Ayaan Haque', 'Adithya Peruvemba', 'Ishaan Bhandari', 'Viraaj Reddi'] | [] | ['ai', 'automation', 'css3', 'domain.com', 'firebase', 'google-cloud', 'google-hosting', 'google-maps', 'html5', 'javascript', 'jupyter-notebook', 'ml', 'natural-language-processing', 'tessaract', 'uipath'] | 51 |
10,133 | https://devpost.com/software/productify-8imncg | Home screen depicting the different topics for which tips can be generated.
An example of a tip that could be generated relating to physical health.
An example tip related to productivity.
An example tip related to mental health.
Inspiration
With the current situation with COVID-19, being at home may not be the easiest task, especially with working from home, but that doesn't mean you can't make the most of it. It can be hard to stay motivated and positive during these isolated times at home, especially in regards to maintaining a healthy work-life balance and prioritizing your wellness rather than comparing yourself to the achievements of others in quarantine. We wanted to help our community overcome these obstacles by providing simple goals and action items to check in with themselves and support a healthy lifestyle, encouraging them to make the most of their time at home.
What it does
Productify is a web app based on providing tips for physical health, mental health, and productivity to encourage everyone to be more productive, optimistic, and energized throughout this period of isolation or at least to give someone a little bit of motivation. Because this time is so uncertain, no one’s path is wrong. Whether you’re using this time to get ahead in academics and work or just trying to relax during this stressful time, we want to encourage you to not compare yourself to others' progress and “be the best version of you.”
Our main functionality is composed of 3 buttons, each corresponding to one of the aforementioned topics. For example, clicking on the mental health button takes you to the portion of our web app that presents tips for improving your mental health. On this page, you can click on the random generator button to receive such an actionable suggestion. If you want more information on the given tip, you can scroll down or generate another tip. You can use the navigation bar at the top to go back to the homepage and access the other buttons for physical health and productivity.
How we built it
We build our application with HTML, CSS, and JavaScript.
Challenges we ran into
We ran into issues with alignment, positioning elements, and getting multiple JavaScript functions to show when the button was pressed.
Built With
bootstrap
css
html5
javascript
Try it out
github.com
productify-your.space
kevin-dillon.github.io | Productify | A web app that provides tips for physical health, mental health, and productivity to encourage everyone to be more productive and energetic. | ['Audrea Huang', 'Kevin Dillon', 'Allison Chu'] | [] | ['bootstrap', 'css', 'html5', 'javascript'] | 52 |
10,133 | https://devpost.com/software/covid-helper-x2utr6 | Home Page
Form to collect the required information
Number of beds in a region
Results for risk
Inspiration
The aim of our project was to develop a risk calculator that would help in calculating the probability of being infected with Covid19 (Morbidity Risk). It would also assess the risk of death (Mortality Risk) of the person. Along with this, the project also shows the number of urban and even rural hospital beds available near the user. For this assessment, we took the user’s real-time personal data like age, height, weight, gender, etc, and predicted upon the basis of this data. We also provide dynamic stats of the coronavirus in India.
What it does
It was proven that the coronavirus was not deadly to most of the people who got affected. So, we decided to go through a dataset of past patients and make an ML model that could accurately identify whether a patient needed hospitalization or not depending on their health history and health score. This method ensures that only the patients who have a severe chance of mortality are assigned a bed while the other patients can stay and heal at home. Another area of concern that was identified was the availability of infrastructure like beds in hospitals near the user.
How we built it
We collected personal data from various websites for our platform. It ranges from normal data like height, weight, gender, age, to more medical-related data like the number of masks, sanitizers, any diseases. We even asked for their opinion as to how the user as well as their family follow social distancing and activities like washing hands. In totality, we took 33 inputs pertaining to a sample of 735 people. We used about 16 inputs out of 33 to predict the risk of being infected with Covid19 and all 33 to find out the user’s morbidity risk. Here, we used Multiple Linear Regression as our model to fit the data with the accuracy coming out to be 98% for Covid19 risk and about 93% for the mortality risk. Apart from this, our team used Vanilla JavaScript, jQuery, and Bootstrap for the frontend part. For the backend, we used Nodejs as well as Flask to connect our Machine Learning model to the web services.
Challenges we ran into
We all know how this pandemic of Covid19 has disrupted everyone’s life. It has caused the world to be at a standstill. We worked upon this problem as this is the problem of the hour which needs to be solved with utmost priority. The real-world problem our group identified was the massive overburdening of our healthcare systems. This was because once a patient was identified as being infected he/she was assigned a room and ordered to stay in the hospital regardless of the individual’s previous health score.
Accomplishments that I'm proud of
This solution provided by us is all-encompassing. It not only predicts infection and their morbidity risk but also shows the real-time status of the beds available near the user. At one platform, the users will get a complete assessment of risk and availability of medical facilities around them. Hence this solution is far better than the existing platforms as presently a user has to visit various platforms to get the same information.
What we learned
We used IBM Watson Assistant chatbot to help the user in navigating the website.
Integrating ML models to API's
What's next for COVID-Helper
Improvements: If we had access to more patient information our model could become more accurate. In the future, we would like to add more features to the Watson chatbot that we incorporated into our website.
Sustainability concerns: We feel that such a product has a good future as it helps in reducing the overload on communication systems and helps in rallying the people in times of crisis. It reduced confusion and provides an assurance and acts as an online doctor.
Built With
css
flask
html
javascript
machine-learning
node.js
Try it out
github.com
github.com | Covid-Helper | COVID Helper is a web app that helps users find their risk of getting infected and the severeness of the infection based on their geographical, social and health history data | ['Sreemanth Gourishetty', 'Roshan John', 'Devang Mehrotra', 'Pranav V A'] | [] | ['css', 'flask', 'html', 'javascript', 'machine-learning', 'node.js'] | 53 |
10,133 | https://devpost.com/software/know-your-government | Start Up Screen
Dynamic Home Screen
Search custom location
See results
In ❤️ with MLH
Inspiration
In this day and era of the Internet, we are still lazy to research a particular thing, even though it can be done easily with the device known as a Mobile phone in your pocket. The problem is, Most of us don’t know who all are, the elected representatives from our constituency. Also, we are not that excited to Google them up, ‘coz we all have that frog of laziness.
What it does
Takes your current location or the location you have typed and retrieves all the Government officials in a hierarchy with respect to that location. from President to your local county officials. Not only in your region or county but any part of the entire United States.
For any U.S. residential address, you can look up who represents that address at each elected level of government and not only that but we make use of Google Civic API to show clickable links of government officials' office addresses, email, and communication channels like Facebook, Google, Twitter, and Youtube.
In addition to the above features, we also show real-time news stories about particular candidates. Which can help you to research about that particular candidate?
How we built it
Firing up Android studio
Designing wireframes and custom layouts.
Designing the best possible UI while focusing on User Experience.
Embedding that Material Design with our App
Researching about various APIs Google Cloud Platform offers.
Geocoding and Reverse geocoding.
Parsing the JSON
Displaying the data.
Making queries to Google Civic API
Fetching and showing data and (ERRROR HANDLLING!) 🛑
Fetching news by querying news API.
Updating news in real-time with that 🤪 CardView
Challenges we ran into
It was hard to come up with the idea adhering to the theme because we wanted to make use of this hackathon to make something for social good. Figuring out Google cloud APIs and creating API_TOKEN. Parsing JSON while keeping eye 👀 on API daily rate limit.
Accomplishments that we're proud of
We made an android app focused on User Experience with custom shapes and keeping aesthetic in mind. We made a really complex app and it works. Error handling was done properly.
What we learned
Various Google Cloud products and their effectiveness. Android Studio, Version Control, and Github.
What's next for Know Your Government
We are planning to add more features to enhance the User Experience and accessibility.
Built With
andorid
android-studio
google-civic-api
google-cloud
material-design
news-api
ui
Try it out
github.com | Know Your Government | Literally Know Your Government | ['Akshay Kulkarni'] | [] | ['andorid', 'android-studio', 'google-civic-api', 'google-cloud', 'material-design', 'news-api', 'ui'] | 54 |
10,133 | https://devpost.com/software/i_am_not_forgotten | What It Does
This project is a website that features a prototype of an interactive chatbot open to the public. The goal of the chatbot is to aid users to explore their feelings and for suicide prevention. When the chatbot application faced with specific keywords related to negative emotions (such as ones that show signs of suicide or COVID-19 depression), the chatbot would respond immediately and provide local crisis hotline for the users of the chatbot.
Inspiration
As a result of COVID-19 and implementations of social distancing around the world, higher rates of mental health problems have been reported. Many face loneliness and isolation while others may be forced to live in unhealthy and/or abusive environments. We want to provide comfort and company for those who are facing these hardships in these times, and we have chosen to do so through an interactive chatbot. It features emotional guiding and provision of additional local resources in times of need.
How we built it
The website was assembled using HTML and CSS. In addition, our GEOIP and country based crisis hotlines are stored in MongoDB databases. The interface is provided to both the chatbot(and the site was supposed to be planned) but sadly Macarthur forgot to include that part in time for the final version. But it has been added to the code itself.
Challenges We Faced
Throughout the process, we faced several obstacles of our project: lack of experience with creating API's and using flask, technical difficulties with the consistency of our servers, struggles with training the chatbot to produce coherent responses, and etc. However, we were able to tackle these challenges as a team, through problem solving, learning on the spot, and adapting to new solutions. None of us had ever used flask before, nor MongoDB, or chatbots, nor ML were all struggles that we faced when developing it. Also the lack of prior experiences doing hackathons also contributed to making the project more difficult than it would have been if members were more familiar with the format.
What we learned
We were able to gain valuable experience through this process of our project. We picked up new tools allowed us to reach our final goal, including flask, the ChatterBot library, etc. We were also able to gain experience with areas that we were less familiar with, such as machine learning, API's, querying databases, and more. Therefore, we thoroughly enjoyed the process of working together as a small team, and proud to say that after this experience.
Github
https://github.com/133794m3r/i_am_not_alone
Built With
css
debian
domain.com
flask
gcloud-dns
google-cloud
html
javascript
letsencrypt
mongodb
nginx
python
ssl
uwsgi
Try it out
iamnotforgotten.online | I am not Alone | I am Not Alone is a chatbot that can help you by giving you information that you need at times when you need it. | ['Richard Ho', 'Macarthur Inbody', 'Yiwen Dai', 'Nithya Jayakumar'] | [] | ['css', 'debian', 'domain.com', 'flask', 'gcloud-dns', 'google-cloud', 'html', 'javascript', 'letsencrypt', 'mongodb', 'nginx', 'python', 'ssl', 'uwsgi'] | 55 |
10,133 | https://devpost.com/software/jank-tank | Finished tank with everything mounted and running.
Block interface for programming the tank's auto commands.
Testing the block auto commands on the tank.
Bottom of tank with electronics assembled.
Basic electronics and base of tank assembled.
The motor was not centered at times which made the tank difficult to move.
Bottom of tank after duct tape.
Inspiration
Our team is heavily involved in robotics, and our love of robotics caused us to want to create a way for people to control autonomous robots in our case a tank without any programming experience in order to develop the same passion we have.
What it does
Our program can be accessed from any browser hooked up to the same network connection as the raspberry pi hosting it. The program is a flask webpage which allows users (kids learning how to program) to place blocks to control a robot which the raspberry pi is connected to. We also built a demo-bot for the software which is essentially a tank made "jank", hence the name "Jank Tank"
How we built the software
The block code generates formatted python code which is wrapped in a JSON object to be sent off to the flask webserver hosted on the raspberry pi in an AJAX request when the user presses the execute button. The python script then runs functions we created (e.x. forward or turnLeft) to control the raspberry pi's GPIO pins to control the robot.
How we built the demo-bot
The demo bot is powered via a 12V battery and a portable charger. The bot's "brains" are the raspberry pi, which uses the software to intercept block codes sent by the user. The raspberry pi sends out electrical signals via its GPIO pins which are read by the arduino. The arduino then sends out a signal to the MOFSET transistors, which are hooked up to the 12V battery to power the motors, which control the tank. The reasoning behind this multi-multiprocessor setup was because the raspberry pi does not have the 5V output required to run the MOSFETS we used for the motors, but the arduino can output 5V, requiring us to use the arduino as the MOSFET controller. Most of the 3D printed parts from the demo-bot were from past projects, but the tank was assembled from scratch during the hackathon.
Challenges we ran into
It was difficult to implement a block coding interface and creating unique blocks for the purpose of controlling robots. It also took us a while to connect the python code generated by the block code to the python script and also communicating and controlling the robot using it. There was also issues as mentioned earlier with controlling the motor with a raspberry pi, which we solved by placing an arduino as a sort of "man-in-the-middle" between the raspberry pi and the MOSFET transistors, which then output to the motors. We also had problems keeping the tank together because it was assembled with mostly hot glue and duct tape.
Accomplishments that we're proud of
We are proud of solving the different challenges we had, as well as creating a final product that allowed users to be educated and learn how to control robots easily. It was also great to build an actual demo robot, however "janky", to test out the code we worked so hard on. Finally, plugging together the end-to-end code was extremely satisfying to do, and was considerably cleaner than we had originally presumed.
What we learned
We learned how to implement different frameworks and implement features like block coding. We also learned how to configure a Flask server on a raspberry pi to execute python on a server. We got bounds of experience in end-to-end development, from the client to the server to the hardware.
What's next for Jank Tank
In the future for Jank tank we hope to be able to create better learning experience for the user and give more information to the user about what is happening "Under the hood". Also with more time to work on the tank in the future, we can use professional methods to assemble the tank so that it isn't so jank.
Built With
3dprinting
ajax
arduino
blockly
flask
javascript
mofset
python
raspberry-pi
robotics
Try it out
github.com
yashdraja.github.io
github.com
www.janktank.tech | The Jank Tank | The hands on learning tool to teach people how to control autonomous robots, even without knowing how to program. | ['Ari Wasch', 'Lincoln Doney', 'Yash Raja', 'Ranvir Singh'] | [] | ['3dprinting', 'ajax', 'arduino', 'blockly', 'flask', 'javascript', 'mofset', 'python', 'raspberry-pi', 'robotics'] | 56 |
10,133 | https://devpost.com/software/same-home-different-hacks | Same-Home-Different-Hacks
Entry for same home different hacks online hackathon.
It's a pomodoro technique timer! Focus on your work for 25 minutes, then take a 5 minute break. after 4 work periods, take a longer, 15 minute break. As a student currently studying university courses from home, staying focused it VERY challenging! This timer can be a great asset for any student or professional needing help staying focused at home.
The app was made with Qt and C++. To use the app yourself you will need to build the source. More info on how to do this can be found on the Qt website:
https://www.qt.io/
I made this myself in about 10 hours as my first attempt at learning Qt. Im happy with how much I completed, but I know there is so much more I can still do! I am looking forward to developing new projects in the future with Qt.
Built With
c++
qmake
qt
Try it out
github.com | TimelyStudy | It's a pomodoro technique timer! Focus on your work for 25 minutes, then take a 5 minute break. after 4 work periods, take a longer, 15 minute break. | ['Aidan Bowers'] | [] | ['c++', 'qmake', 'qt'] | 57 |
10,133 | https://devpost.com/software/covid-caretaker | Logo
Corona Caretaker In Use
Inspiration
Since the start of the COVID-19 pandemic, misinformation about the virus and its origin has become widespread on the internet. We believe that by learning more about the virus through a conversational system, users will be enabled to stay healthier, help keep others healthy, and become more clearly informed.
What it does
Corona Caretaker is a more natural way to learn about COVID by providing information in an intuitive conversational manner. It combines resources from a variety of sources to give users an unbiased perspective on COVID-19 and its impact on society.
How we built it
We used Google Dialogflow to create a powerful virtual assistant capable of understanding a wide range of inputs. React.js and Redux.js were used to create the website and provide styling. The website is hosted on Google Firebase.
Challenges we ran into
Originally, we intended to deploy on Google Cloud App Engine, however, we kept encountering various errors. When attempting to switch to Heroku, a service one of us had prior experience with, we encountered similar difficulties. After consulting with mentors, we switched to using Google Firebase for an easier deployment experience.
We were going to use the Google Maps JS API and Radar.io to create a map of COVID-19 testing facilities. However, the Maps API did not return results when queried for "covid testing". To solve this, we will have to implement our own database of testing facilities in the future, a task not possible in 48 hours.
Accomplishments that we are proud of
This is the first time any of our team members have used React and Redux. Also, this is the first time we have worked in-depth with several of the Google Cloud products. It was exciting to see all of these services come together to form the submission version of Corona Caretaker.
What we learned
A lot of new technologies were introduced (as mentioned in the previous section). We also gained more experience with deployment and interest in natural language processing. All of us are interested in artificial intelligence/machine learning and hope to explore these topics more in the future with more complex uses of Google Dialogflow and involvement in research.
What's next for Corona Caretaker
Since Google Maps API does not return results when searching for “covid testing”, we plan on creating our own dataset to store these locations. To accomplish this large task, we will likely have to recruit some volunteers. We also plan on adding more resources and information as the pandemic progresses.
Domain.com URLs
covidisnotahoax.online
tellingthefactswith.tech
givemesixfeetof.space
Built With
dialogflow
firebase
google-cloud
google-maps
radar.io
react
redux
Try it out
mlh-hackathon2-srtshu.web.app
github.com | Corona Caretaker | A virtual assistant designed to help users stay informed and educated about COVID-19 by leveraging natural communication. | ['George Zhuang', 'Bryant Hou', 'Luke Duan'] | [] | ['dialogflow', 'firebase', 'google-cloud', 'google-maps', 'radar.io', 'react', 'redux'] | 58 |
10,133 | https://devpost.com/software/vid3o | Logo
In a call
Screen sharing
Inspiration
There is a lot of video meeting software out there, but they all require you to set up accounts, which can be a hassle. VID3O makes it easy to connect with others just by sharing a link.
What it does
It allows people to share their webcam and audio with others in a one on one chat. You also can share your screen. There is a text chat for sending links as well.
How we built it
We used WebRTC to connect two devices using a peer-to-peer connection and transfers the data between them.
Challenges we ran into
We had some issues getting the devices to connect to each other. We also had issues with the muting the mic and video.
Accomplishments that we're proud of
We're proud that we managed to get it to work, as well as add most of the extra features we wanted.
What we learned
We learned how WebRTC works.
What's next for VID3O
We want to add support for multiple people in a chat at once.
Built With
javascript
jquery
scaledrone
Try it out
vid3o.ml
repl.it
vid3o.ccreativecnd.repl.co | VID3O | Connect with anyone, anywhere right from the browser with no sign in required. | ['Calum Dingwall', 'Moman Malik', 'Athulya Vempati', 'Edwin Renck'] | [] | ['javascript', 'jquery', 'scaledrone'] | 59 |
10,133 | https://devpost.com/software/same-home-diff-hacks | ~logo~
home page
memeify!!!
fairy comment generator!
music quiz
team photo <3
Inspiration
Our inspiration came from a need for some laughs in unprecedented times like these. Memes have always been there to make us smile, and so just like how wikipedia organizes the history of more formal items, memopedia does the same for memes! Our product is for families to learn and to laugh at the same time!
What it does
When you click our link (
https://meme-o-pedia.glitch.me/
), you are immediately shown the timeline of memes, dating all the way back to 1920! The 12 most iconic memes are shown through images and gifs. We even created a web app to go with the last one, called the fairy comment generator, but more on that later.
The fun part of our page is the memeify button, which essentially transforms our page into its own meme, equipped with fun fonts, colors, and backgrounds!
The fairy generator page is based off of a popular tiktok trend, and is sure to make anyone laugh with its sarcastic, but still lighthearted remarks!
Finally, the playlist page features a personalized quiz to gauge what era of “meme-music” each user would enjoy the most!
How we built it
everything coded and submitted for this project was made this weekend. no coding was done before the hackathon
Our team worked on Glitch to collaborate to make this website using HTML/CSS and JavaScript. We used jQuery to facilitate the changing pages, as well as a bit of css animation! By starting off with a simple HTML flexbox, our team was able to build it into the entire web app!
Challenges we ran into
We mainly ran into challenges relating to JavaScript because it was our first time using the language. In the past we’ve only used HTML and CSS, so this was definitely a new and learning-filled adventure! We were able to create a quiz as well as randomize the fairy comments through javascript, as well as make the memeify button work!
Accomplishments that we're proud of
We are very proud of the end result, because we believe we focused a lot on design and ensuring the user has a great experience! Designed for laughs and positivity, we are elated that all the buttons, generators, and quizzes worked out as planned!
What we learned
Throughout this entire project, our team has not only learned the history behind each iconic image/video, but also have pushed ourselves in regards to our coding skills. The fairy comment generator was one of the more challenging aspects of the website which required a sophisticated back-end framework. And building this framework taught us about how dynamic websites can transform with substantial JS.
What's next for Meme-o-pedia!
In the future, our team would like to incorporate more features onto the website which allow users to access a larger variety of memes across all different languages. Memes are more than just funny images - they define our culture worldwide, and so providing a page that is accessible to all languages and features content from across the globe is really important for meme-opedia. From a technological aspect, our team is eager to branch off into different realms of coding by utilizing complex CSS animations, and detailed JavaScript to enhance UI and ultimately make the website more dynamic. And most importantly, we are excited to build a mobile-app version of meme-opedia to make this educational product available on all devices! As for the “memeify” option, we would like to build more onto that part of the website as well.
Built With
bootstrap
css
html
javascript
jquery
Try it out
meme-o-pedia.glitch.me | meme-o-pedia | a little laugh can go a long way | ['Hana Memon', 'Anum Ahmad', 'Trinity Tran', 'Mackenzie Hill', 'Bhavana Chamarthi'] | [] | ['bootstrap', 'css', 'html', 'javascript', 'jquery'] | 60 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.