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10,402 | https://devpost.com/software/sharebear | ShareBear
Civic engagement
Advice, COVID19 updates, Weather
Inspiration
The primary inspiration for this bot is acknowledging that in these recent months, support for Black Lives Matter (BLM) has increased greatly while people around the world have taken time to protest against injustices. Diving into social issues and trying to understand all the political jargon, the political processes, and waiting for all the bureaucracy at work is no easy task at all. And so, we wanted to make it easier for people to be civically engaged in America.
What it does
Sharebear can tell you what bills and resolutions you should know about that are going through Congress. It saves you both the time and headache from looking through the 13,778 bills and resolutions currently before Congress. You can ask for the different topics and learn about a bill from a topic you’re passionate about. Additionally, you can also find out the weather forecast in any city, get a piece of advice, and what the most recent corona virus statistics are for any location.
How we built it
To determine conversation flow, we utilized Google Cloud’s DialogFlow and designed a conversation flow, creating custom intents and entities. With each user input, the app pings the DialogFlow API to get the correct response.
DialogFlow
React Native
Google Cloud
Adobe Illustrator
Web scrapers
Challenges we ran into
On the planning side, understanding the political jargon and reading up on how the US government is structured. There were lots of ideas on how we could carry out civic engagement, but parsing government websites can especially be a challenge.
On the technical side, we created the Alexa skill and saw that Google offered an easy import tool which sounds too good to be true, and it was - that tool no longer works. So, we spent a lot of time reading and understanding many of the Google Cloud Products in order to successfully manually transfer the dialog model. Interestingly enough, you can code in python for AWS Lambda but not for Google’s Cloud Functions, so we needed to find a workaround for the lack of Python compatibility of Google Cloud Functions.
Accomplishments that we're proud of
Tech for social good!
What we learned
Aside from all the different APIs, choosing and understanding which platforms or services to use to implement your program is also paramount. Found some great civic APIs. Learned a lot about US government structure and the federal government vs the state legislature and their differences. Most government websites still really suck though.
What's next for ShareBear
Next, it’d be cool to get a person’s state and federal representatives based off of their location. That way, they would know who to contact to share their views.
Built With
dialogflow
google-cloud
python
react-native
Try it out
github.com | ShareBear | A bear that helps you be an informed and politically active citizen. | ['Muntaser Syed', 'Ebtesam Haque', 'Sarah Zhou'] | [] | ['dialogflow', 'google-cloud', 'python', 'react-native'] | 9 |
10,402 | https://devpost.com/software/masky-k2luf7 | Inspiration
We need to wear masks to stop the spread of COVID-19, as a first layer of defense. However, many forget to wear them or do not pay heed to guidance. Therefore, Masky aims to use awareness and peer pressure to convince people to wear a mask. No one wants to be the odd man out.
What it does
Masky is a tool that highlights faces of people that are not wearing masks. These faces can be optionally blurred.
How I built it
Masky was built with a variety of technologies, consisting mainly of a frontend and a backend. I wanted to create a web interface so that it would be usable on any device.
The model that Masky uses is Yolov5s. The smallest and quickest version of Yolov5, a recently released state-of-the-art object detection model. Currently, requests to the server happen every second and CPU-only processing takes approximately 100ms.
The model was trained in Google Colab.
Challenges I ran into
There were quite a few issues in the training process, making it take longer than expected. Additionally, the regular inference script was not designed to take an input of a base64 string and was not designed to work without command line parameters. Those changes took considerable work.
Accomplishments that I'm proud of
What I learned
How to create a full fledged application in a short period of time.
What's next for Masky
Integration with internal security systems, on-device inference, accessible API.
Built With
opencv
python
pytorch
vue
Try it out
github.com | Masky | App that shows faces of people not wearing masks, to be projected for all to see. | ['Vijay Daita'] | [] | ['opencv', 'python', 'pytorch', 'vue'] | 10 |
10,402 | https://devpost.com/software/datafighter-ckg2pr | UI path workflow1
UI path workflow2
UI path workflow3
Login page
Inspiration
Data without labels is difficult for people to classify with the tools that are out there. Yet, these labels are critical for machine learning and data science to answer questions that we otherwise can’t. Without human interaction, these algorithms are inaccurate. So we are turning classifying data into a game.
Until now, labeling such data has been time-consuming. Our technology enables anyone, anywhere in the world, to help train the models that will make the world of tomorrow a better place.
What it does
While our platform was designed for general use, we developed it with an eye on emerging problems such as misinformation and access to reliable sources during times of crisis. The current COVID-19 pandemic has shown that there is a need to rapidly bring experts in public health, the general public who are spread out and isolated from each other, and policy-makers into the fold in order to vet information. Our platform gives everyone a voice, and a chance to push back against the darkness in which this crisis grew.
Aside from being used to label data, our platform can also be used to improve machine learning algorithms. Human intuition is naturally a lot more powerful than most state of the art classification algorithms. Results from our platform can be used to re-train these algorithms, thereby improving their performance.
How we built it
We used UIPath data scraping along with parameters from user input to scrape platforms like twitter, Reddit, etc. We used a google app engine to make an API for the ML model and compared the accuracy of the model on a dataset to the user's intuitive accuracy for the same dataset using a Flask backend.
Challenges we ran into
We had a tough time integrating the ML model with our web app. We had to use a google bucket and app engine to generate an API for the same We also used MongoDB for storing the results
Accomplishments that we're proud of
We were able to successfully scrape the data using UI Path and build a highly sophisticated software that uses virtual machines and google cloud platform to run machine learning models and download generated spreadsheets, all this while giving user the privilege to label data by playing a game.
What we learned
We learned a lot about Google Cloud Platform, MongoDB, UI Path and how to deploy machine learning models on web apps.
What's next for DataFighter
We are trying to add more scraping options like websites, articles, news, etc.
Domain.com
datadaddy.tech
Work in this hackathon
We had started ideation and thinking about the hack a few days ago. In this hackathon, we worked on the front end dealing with gamifying our idea, hosted our project using a domain from domain.com and worked on the whole backend including the integration of UI path into our hack.
Built With
flask
google-app-engine
javascript
mongodb
python
ui-path
Try it out
datadaddy.tech
github.com | CoronaDataFighter | Data without labels is difficult for people to classify with the tools that are out there. We are turning classifying data into a game so people could enjoy while doing it. | ['Alex Levine', 'Sai Rishvanth Katragadda'] | [] | ['flask', 'google-app-engine', 'javascript', 'mongodb', 'python', 'ui-path'] | 11 |
10,402 | https://devpost.com/software/famjam-ytn3bv | FamJam
Sign In Options
Login Page
Family Creation Menu
Joining a Family
Leaderboard
Family Page
Profile Page
Family Member Page
💡 Inspiration
We all tend to take a lot of things for granted. While brainstorming solutions to connect people during social distancing, all of the ideas we had were to connect with
friends
or even
strangers
, especially during a time like this. But weirdly enough,
not once did we think of connecting with our families
- which we realized was
exactly the problem
. So many of us spend our time at work or school, always wishing we could hangout more with our friends and even get a break from our family - but what better opportunity to get to know those
literally
closest to us than while
stuck in quarantine?
🤔 What it does
FamJam is an Android app that helps families, roommates -
anyone who lives together
, to
get to know each other in a fun way.
Every “family member” will receive two daily missions and one mission weekly. The first daily mission will be sent in the morning while the second will appear at a
random time
for you to rack up bonus points, to encourage you to put family first, and of course to see you scramble. Every mission involves
brightening up someone's day
or doing something to get to
know another member better.
For example, your mission of the day might be to give your mom a hug! The weekly mission will involve the entire “family”, with anything from playing soccer together to having a
profound discussion about what family means to them.
After completing a mission, you immediately
earn points
, the harder the mission, the more points you get! Complete more missions and you can climb to the top of the leaderboard 😎. At the end of the week, the member with the
most points wins a badge
. Badges can also be earned through other methods, just to keep members on their toes. But be
warned
,
there’s also a laziness badge.
The member with the most points by the end of the month receives a present from the other members. Though of course,
everyone's a winner when you’re strengthening genuine connections with those around you!
🧰 How we built it
This is the second time our team has ever used Android Studio! Our last hackathon was our first time trying to build an Android app. Everyone took the lead on learning a certain element such as UI/UX design, front-end and back-end. We were amazed by how much we all learned throughout those two days and we wanted to
challenge ourselves again.
This time,
we all took leads on a different component
. Those who focused on design before, worked on the back-end now and vice versa - we really wanted to push ourselves while being able to create a project that we were
passionate
about.
The first day after finalizing our idea, we all shared a Figma document and over call, one of our members taught us how to use the prototyping tools and gave us design tips. For the initial setup of Firebase and connecting it to our app, another member wrote up a document with a structure, steps, and advice on how to implement each component.
Each of us had to study up on different areas
, whether it was tinkering around with tutorials or reading documentation. Nevertheless, we really took advantage of each other's skill sets to
grow
our own. This was extremely effective as by the end of the first day we had finished the UI/UX designs, had a quarter of the app coded and our database structure outlined.
😅 Challenges we ran into
There were many challenges we ran into while making this app, especially since this was our
most ambitious project yet
, with more screens, features and components than anything we’d ever done before! Some specific challenges we’re proud to say we’ve overcome were:
Data Structures:
Although we're super excited about our app features, we quickly realized that we would require a complicated backend structure to accommodate authentication and data storage using Firebase. In particular, it was confusing to structure relationships between different nodes containing user and family data. We ended up using foreign keys, custom Java objects and
lots
of testing to make our app work.
Layout Inflater & RecyclerView:
To populate our views with our Firebase data, we needed a way to change views dynamically. It took many lots of tutorials, discussions with teammates and searching on StackOverflow to make this aspect function properly.
Image URL firebase
: This was definitely one of the most
frustrating
challenges we ran into and definitely
tested our resilience
-
how could something as simple as loading an image via it’s URL be so hard?
Implementing this took
several tries
. We researched and compiled a list of various strategies to go about implementing them,
dividing and conquering them
amongst us to figure out which ones would work best. We tried everything from extending the Async task to using the Picasso library. It was by troubleshooting together that we were most effective because we could contribute new ideas and push each other forward.
Customizing Mission Card designs:
While in our last project we went with a more generic card block, this time we really wanted to make our app feel unique with new layouts and
dynamic styling
! We had to get crafty with relative positioning, background colours and button styling. Since we also wanted our cards to change strokes, colours and assets depending on the type of mission you receive,
we had to integrate a lot more Java backend than before
, switching out elements after checking out mission statuses and more! It was complicated and overwhelming at times, but seeing it all come together made every minute worthwhile.
🤩 Accomplishments that we’re proud of
Some things we are really proud of is definitely
pushing ourselves out of our comfort zone
into areas we aren't familiar with. This includes working with the backend in firebase, logins, google authentications and working with inflators.
UI/UX design
is another feature we are very proud of. We made sure to create multiple versions to create a cohesive and streamlined design that would be friendly, inviting and calming to users. In order to do this we experimented with a variety of soft colour palettes that were muted and gentle to the eyes in addition to making countless iterations of different cards to see which would fit FamJam best.
Teaching our own knowledge
as it’s quite difficult to articulate a concept when we, ourselves, were beginners. However, today every one of us taught a skill to the others. This not only made everyone more well rounded but also surprisingly taught us that teaching is a great way to learn. Through visualizing the problem multiple ways when someone couldn’t understand, we had a much more organized understanding of concepts that used to be difficult.
🧠 What we learned
Since this was our second time developing an android application, we already learnt some of the very basics needed to get an app running. However this gave us an
opportunity
: unlike our last Android project where we were unfamiliar with these basics, we were able to feel
confident enough to switch our typical assignments
. From this, we were able to learn how to implement a working User Login in Firebase with Google sign-ins, Layout Inflators, and using Figma more intensively with masks, blending modes, and creating vector art.
🎓 What's next for FamJam
We are planning on implementing
tracked statistics
through the completed missions to determine how close members are to each other, allowing them to
“level up
” in closeness as they do more missions together! This would help users understand who they are closest with, as well as gear the app to give
targeted missions
depending on how close they are. For example,
members who aren’t that close
to each other might be
given easier missions to start off!
To make things both more accountable and fun, we want to add a feed of all the missions that your family members have completed recently. That way, if someone tries to mark a mission complete when you know they didn’t do it with you, you can call them out for it and they lose their points!
We also plan on adding
custom missions
that can be randomized and given out to members, giving the option for ‘families’ to come up with their own missions. This would make each experience
more personalized and more fun
, allowing for
inside jokes
and further improving how
tight knit
everyone is.
We recognise that an app that allows for closer relationships to be formed has uses beyond being used only with those we are stuck with. We plan to add the option for users to have multiple “families” with their close friends, or other people they hope to become closer with. Especially for situations where the members of a family or friends are long distanced, we also plan to give an option for members to select virtual missions that can be completed even while apart!
Furthermore, we’d love to
publish the app
to get feedback from the public. We could then identify how to
improve
existing features, code new ones, and add better incentives to use the app for
future reference.
Lastly, with the COVID-19 pandemic taking place, not every family has had the privilege of being at home, whether they are unable to travel or a frontline worker. Once we finalize and publish the app, we hope to
donate the Google Ads revenue towards charitable organizations
helping to
support families and frontline workers impacted by the coronavirus.
Built With
android-studio
figma
firebase
java
xml
Try it out
github.com | FamJam | Your friends are a world away, there’s no way for you to meet new people all because of Covid. Look around, you may not be as lonely as you thought. | ['Bonnie Chin', 'Kailey Chen', 'Grace Gao'] | ['1st Place'] | ['android-studio', 'figma', 'firebase', 'java', 'xml'] | 12 |
10,402 | https://devpost.com/software/volunteer-finder-uskb2y | Inspiration
Volunteering is an amazing way for one to give back and to find a community of like minded people. Finding volunteering events can be a little tedious with multiple sites to visit and sort through. I would like to make it more convenient to find volunteering opportunities with only an Amazon Echo.
What it does
Volunteering Finder finds multiple volunteering opportunities and delivers them to your email. It guides you step by step by asking you for your city, email address, and permission to email you the content.
How I built it
I utilized
python guides
to create an Alexa Skill. Behind the scenes, the python code was running on AWS Lambda, and for debugging purposes, CloudWatch contained the logs. I used the python library
BeautifulSoup
to scrape through a volunteer website for opportunity titles and links based on the given location, and I used the python library
smtplib
to send emails. HTML knowledge was nice to have in order to pretty the email messages sent.
Challenges
There are a few API's with volunteer information, but none responded within the timeframe I was given for the hackathon. I had to resort to scraping data off of a website.
It seems that Python for Alexa Skills is relatively new, and there is limited documentation. One specific things I would love to see in the documentation (written in Python) would be intent chaining and utilizing user's information like an email address or location.
Accomplishments
a functional Alexa Skill
emailing users with volunteer information
scraping up to date volunteer opportunities
What I learned
I learned to develop an Alexa Skill using Python, and I also learned the syntax that comes with Alexa Skills: intents, slots, utterance.
Whats Next for the Volunteer Finder
Improve email creation from voice to text
Create a fancier email
Allow user to select number of opportunities to hear
Allow user to select specific opportunity to be sent
Utilize an API vs web scraping
Utilize better Alexa Skill practices like intent chaining
Utilize user information
Built With
alexa
amazon-web-services
echo
hardware
jupyter-notebook
python
Try it out
github.com | Volunteer Finder | An Alexa Skill to find volunteer opportunities in your area | ['Kevin Webb'] | [] | ['alexa', 'amazon-web-services', 'echo', 'hardware', 'jupyter-notebook', 'python'] | 13 |
10,402 | https://devpost.com/software/grouper-nu89lb | Upload student list via csv
Generator page
Inspiration
During the Covid-19 pandemic, our school resorted to online learning using Google Meet. We as secondary school students are well aware that many other schools are using either Google Meet or Zoom to facilitate online learning.
We noticed our secondary teachers needed a better way of creating and sharing Google Meet links with their students. For instance, many times, they wanted to schedule a Google Meet in advance, but the links expired, and they were not able to do this. Other times, they simply wanted to create breakout Meets for different groups, but had to ask one of the students to create meet links for them. We wanted to create a software that would help teachers during this unprecedented global crisis.
What it does
Using this website, teachers will be able to:
Create a specified number of groups randomly, by homeroom, gender and nationality, or by a custom preset.
If the teacher randomly generated groups and likes the generated result, then he/she will be able to save it to use later.
Create a Google Meet or Zoom video call link for each group. Additionally, teachers have the option of automatically sending an invitation (with the link) to each group member.
How it Works
The teacher will first sign up for an account on the website
The teacher will then be able to upload CSV files containing their students information. They may also upload CSV files of custom groups should they wish.
Anytime the teacher wishes to create groups, all they have to do is go to the group generator page. Then, they can pick the class file - e.g. "AP Statistics.csv" and they will be able to create groups
How we built it
We used Python Flask for the backend, using Selenium to generate Google Meet/Zoom links. We used Javascript, HTML, and CSS for the frontend.
Challenges we ran into
The lack of a Google Meet API meant that we had to use Selenium to generate Google Meet links. On the backend, we struggled to find useful XPATHs on the website to use for the driver.
Additionally, it was our first time working separately on a website as a frontend and backend developer. Until now, we had mostly worked on the backend together, so it was difficult for us to determine the responsibilities of each one of us.
It was difficult designing the algorithm to sort students into groups based on gender, nationality, homeroom or any other criterion split. For instance, if the user wanted to split by gender, then the algorithm had to make sure that males and females were eventually distributed across groups, meaning that each group had similar number of males and females. We overcame this by initially writing the algorithm in pseudocode, then using the appropriate tools in Python to implement it.
Accomplishments that we're proud of
This was also the first time we used Bootstrap, so we are proud of the aesthetics of the website. We believe the interface looks modern and innovative.
Built With
bootstrap
css3
flask
html5
javascript
python
selenium
Try it out
github.com | Grouper | An advanced group generator that innovates online learning | ['Steven Oh'] | [] | ['bootstrap', 'css3', 'flask', 'html5', 'javascript', 'python', 'selenium'] | 14 |
10,402 | https://devpost.com/software/acid-acoustic-covid-19-infection-deactivator | Inspiration
Social distancing necessary to reduce the spread of Codid-19 is not maintained everywhere.
We need an effective method of reducing the spread of Covid-19 virus in public places.
What it does
We offer here a conceptual design of a Covid-19 deactivator based on artificial intelligence and acoustic shower.
How I built it
It is well known that insects create and are greatly affected by sounds.
We believe that Covid-19 can be affected by sounds just as most insects are affected by sounds.
We propose to do some research on effects of inaudible acoustic waves and solitons on Covid-19 virus.
We will determine the types of inaudible acoustic waves and solitons that can kill or deactivate Covid-19 viruses.
We will then make Acoustic Covid-19 Infection Deactivator consisting of two kits.
ACID's artificial intelligence kit will identify Covid-19 infected person within a group of people.
ACID's acoustic shower kit will spread acoustic waves or solitons that can kill or deactivate Covid-19 viruses.
Acoustic Covid-19 Infection Deactivators may be installed in locations where many people gather or travel.
We believe that ACID will greatly reduce the spread of Covid-19.
Challenges I ran into
Datasets needed for designing the systems are not yet available.
Accomplishments that I'm proud of
We believe that ACID will greatly reduce the spread of Covid-19.
What I learned
Similar devices already exist for insects.
What's next for ACID - Acoustic Covid-19 Infection Deactivator
We will conduct experiments and build a prototype system as proposed here.
Built With
ai
energy
sound
Try it out
github.com | ACID - Acoustic Covid-19 Infection Deactivator | AI and sound based method of deactivating Covid-19 viruses in public places | ['Lalit Patel'] | [] | ['ai', 'energy', 'sound'] | 15 |
10,402 | https://devpost.com/software/music-speak | Logo_MusicSpeaks.tech
3D_Model
HomePage_Website
Arduino
Our_Team_NaKesMo
Inspiration
lack of entertainment inspired us to make something which may be beneficial for the society and also would be entertaining. By using the device, user can enhance its piano skills
What it does
MusicSpeaks is kind of a mini piano through which different types of musical sounds can be generated by clicking buttons and audio frequency can be adjusted by tilting left to right as it has tilt sensor in it. It is cheap and good source of entertainment for the quarantine period
How I built it
We did 3D modeling to design the outer part which has holes in it for buttons and for thumb grip. The programming part of the arduino UFO was not that difficult, where we added some buttons, speaker, tilt sensor, some resistors to control the flow of current and battery. The website for the hack was made through bootstrap.
Challenges I ran into
All the teammates belonged to different time zones so, it was difficult to work at the same time but we divided amount of task and worked accordingly
Accomplishments that I'm proud of
This was my first time working on 3D model and a hardware hack. I got to know about arduino, its working and also how can it impact our life in a positive way and also it game me tonnes of ideas that can be helpful in future hackathons.
What I learned
I got to learn about arduino, 3D modeling and using hardware for hackathons. I felt glad that I got to know more about cultures of the countries from where my teammates belonged to and also they got to know more about my country and culture too.
What's next for Music Speak
We plan to make a platform through which different users can connect and play tones and music together and would give users Musical notes to play different tones.
We would be also bringing the tutorial videos for the users and for intermediate users so that they could enhance their skills.
Built With
arduino
bootstrap
ufo
Try it out
github.com
naseeb0.github.io | MusicSpeaks.tech | Music speaks louder than words! | ['Keshav Majithia', 'Naseeb Dangi', 'Min Min Tan'] | ['Script Foundation: Best Team of 2020'] | ['arduino', 'bootstrap', 'ufo'] | 16 |
10,402 | https://devpost.com/software/adopt-me-grandfather-a-messenger-service-for-the-elderly | Most older people have been forced to be locked up to take care of their health from COVID 19, many of them live their experience alone with no one, some receive their food by delivery but cannot have close contact for fear that someone may infect them. , one of them is my grandmother that I have not seen in 6 months, that a word of support would help her to carry her confinement more bearable, my idea is to create a system "adoption of grandchildren" in which volunteers could be adopted by grandparents who they know about technology and that they can listen to them and share their life, a similar adoption tinder, in which their photo would be presented to the older person, this proposal is not only seen for now, but for times after covid would help many people older to feel better and bear their loneliness.
In the same application I would like to make an automated message system, many older people do not know how to use a cell phone, so the messages would be sent to their cell phones, with messages of support from their adoptive grandchildren.
The proposal was created by me but I am asking some friends to help me by getting older people in the first test and volunteers to help us in the messages, the messages we are starting to do manually, maybe some older adults would like to have international grandchildren .
Adopt me grandfather, a messenger service for the elderly
for contact me:
MY EMAIL IS
CAROLINAOLIPROYECTS@GMAIL.COM
Built With
css
html
javascript
javascript-json
sass | Adopt me grandfather! , a messenger service for the elderly | An option to combat loneliness in the elderly in view of a pre and post time of the covid | ['Carolina O'] | [] | ['css', 'html', 'javascript', 'javascript-json', 'sass'] | 17 |
10,402 | https://devpost.com/software/autistart | Most of the kids apps about covid, do not focus on kids who cannot hear or see
I want to develop an interactive story that can have the option of being able to see it with sign language and with voice for young children. And certain activities that help them quarantine
Built With
java | Get off covid -interactive story for deaf and blind children | An interactive story application to explain covid for deaf and blind children about how to protect yourself, what is covid and quarantine games | ['Carolina O'] | [] | ['java'] | 18 |
10,402 | 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'] | 19 |
10,402 | https://devpost.com/software/knowyourbrand | data displayed from query
Inspiration
We were curious about big name brands that we see every day in the grocery stores. We may know what Pepsi is, but we don't know what other brands they own or where they are located. We hope to one day build out a platform where consumers are more conscious about what companies they support in hopes that they would buy more locally and invest locally.
What it does
Allows users to look up info about a particular brand and learn more about that brand. Maybe there is a brand that is marketed as "sustainable" but ends up being a big company instead that doesn't really follow sustainable practices.
How we built it
We built it by divide and conquer method. Linden did the front-end, Chi worked on the backend.
We wanted to spin something up fast and used an SPA. So we went with React.js for the front end and Express as the web framework. We used MongoDB to host the data and Mongoose as the ORM.
Challenges we ran into
We originally wanted to look for a third party API that had supply chain data and other important information like carbon footprints for big brands, but couldn't find anything. We found one by Alphawave, but it wasn't free.
Another challenge was integrating the Rust machine learning into Node.js with WebAssembly, and processing the image files uploaded from the front end.
Accomplishments that we're proud of
We both work on weekdays and weekends, so another challenge was working in real time with each other, but we honestly worked very well given the challenge of being online at different times.
We are proud of being able to make an idea happen in a very short period of time.
An accomplishment is being able to query the data on the client side. It definitely is always nice to see that data displayed on the page.
We got the initial version of image upload/ML recognition working, but we will need better ML models to extract relevant info from photos.
What we learned
We learned a lot about Blue Diamond Growers and the pros and cons of consuming Almonds! :P
Working efficiently isn't easy when the idea isn't clear. At the same time, you have to be willing to go through the vagueness of an idea. Asking questions is important to allow yourself to fully understand what your teammates mean when they talk about a feature/user story. That way, there aren't as many hiccups while building.
What's next for KnowTheBrand
There is a lot more to do.
UI/UX is a big one. We want this to be a smooth experience for users
Re-architecting the data model. We might want to add more information than just brand names. We would love to curate news about specific brands when a user looks something up.
For fun! Machine Learning. This would be better as a mobile app, since most people are on their phones and use it when they are shopping. We'd hope to have users take a photo of a product as a way to query information about the brand.
Built With
javascript
mongodb
node.js
react
rust
tensorflow
webassembly
Try it out
github.com | KnowTheBrand | You are what you buy. Understand where you put your money. | ['Linden Chiu', 'Chi H'] | [] | ['javascript', 'mongodb', 'node.js', 'react', 'rust', 'tensorflow', 'webassembly'] | 20 |
10,402 | https://devpost.com/software/quarancare-girv45 | Welcome page
Sign up- doctor
Patient- choose a doctor
Patient- symptoms
Homescreen
Doctor- chatting with patients
Doctor- profile
Doctor- sign out
Patient- sign out
Choosing doctor or patient
Sign up-patient
Log in page
Patient- chat with a doctor
Inspiration
My inspiration for this app is the Covid-19 cases here in Singapore and back in my homecountry, India. Many migrant workers have symptoms related to Covid-19 such as cough and fever, but they did not want to get them checked out as the medical opinion is very expensive and I am sure that these workers would rather provide their family with food instead. I think that this resistance was one of the reasons that Covid-19 has been spreading so much within the migrant workers and I believe that through this app the spreading of Covid-19 could be reduced as people can get free medical opinion on their symptoms.
What it does
What the app does is connect patients and doctors so that they can chat with one another. The focus audience for this app is patients from low-income families who can not afford to pay for medical care and doctors who would like to volunteer to help patients without getting any income. The user can log in and access chats with different doctors/patients.
How I built it
I used xcode to build the app, most of the app is to do with the user inference as well as some code to save the login details and run the app as it should. I used a lot of help from outside sources such as youtube to guide me along the way.
Challenges I ran into
There were a number of frustrating challenges that I faced when the code was not working as it was supposed to, the login and sign up code was especially challenging, especially since this is my first time participating in a hackathon as well as making a mobile app.
Accomplishments that I'm proud of
I am very proud of myself in finishing this app especially in the time constricts of the hackathon. I put in a lot of hard work and sweat and am pretty glad of how the app came out to me. I do think with more time I could have done a little better with the user interface such as how to add profile pictures or perhaps users can choose to share their information or not and adding more features.
What I learned
I think the most important skill I have learned from this hackathon is time managment and perserverance. There are many times late at night when things were not working out and I simply wanted to give up on that app, but I decided to fight through and I am pleased with the solution that came out as I genuinely believe that it could help and connect people all around the world.
Built With
xcode
Try it out
github.com | Quarancare | An app to connect low income families to volunteer doctors in order to get a medical opinion without any cost. | ['Tanya Vaish'] | [] | ['xcode'] | 21 |
10,402 | https://devpost.com/software/no-touch-disinfectant-wipes-dispenser-em52jp | Future ideas
Arduino code
Complete project
Circuit
The problem
Hey, I am Tanya Rustogi and I got the idea of the wipes dispenser when I was thinking of how Covid-19 is affecting developing countries. My first thought was that to open a wipes container like lysol you need to touch at least two surfaces which can spread coronavirus. Additionally, having a container of wipes per person in an office or school is not realistic due to the shortage of disinfecting wipes. Then came the idea of an affordable, easy disinfecting wipes dispenser that can be used for classrooms to day cares to shopping carts everywhere.
The solution
So what this dispenser does is when an object such as your hand comes within ten centimeters of the sensor, the motor starts moving which is connected to a rod with rolled up wipes on it. The rotation of the motor moves the roll of wipes, causing them to unroll and make their may out of the container.
How to build
So, each of the pins except the ground and vcc on the motor driver are connected to pins on the arduino, which we defined in the code. The trigger and echo pin on the sensor are also connected to the arduino which are defined in the code. Then the ground and vcc of both the motor and the sensor are connected to the ground and vcc of the arduino which is connected to the power. The sensor detects the distance by seeing how long it takes a wave to come back. The code on the arduino makes sure that if the sensor detects something within 10 centimeters of it, it runs the function stepper which causes the motor to run. The container is made from the lysol container, hopefully making it cheaper for developing countries. The container has two holes, one for the wipes to come out from and one for the motor. Then we need to connect the motor to the container which I achieved with tape. The rod connects to the motor which is held on the other side through the hole already provided in the lysol container. Now when the motor rotates, the rod rotates as well.
What’s next
This is just a prototype, with more material, the final product would look cleaner with a box covering the circuits and the pcbs and circuits connected to the container.
What did I learn
I think the most important thing I learned through this experience is time-management due to the time constraints of two days to make the whole thing as well as perseverance to be able to try again despite how many times the circuit and the code did not work as it was supposed to.
Built With
arduino
arduinoide
steppermotor
Try it out
github.com | No-Touch Disinfectant Wipes Dispenser | A prototype of a no-touch dispenser that is easy and affordable to make and could be used from cleaning tables to disinfecting carts. | [] | [] | ['arduino', 'arduinoide', 'steppermotor'] | 22 |
10,402 | https://devpost.com/software/faco-fight-against-corona-jfcza9 | GIF
Confusion matrix for our final model
INSPIRATION
A diagnosis of respiratory disease is one of the most common outcomes of visiting a doctor. Respiratory diseases can be caused by inflammation, bacterial infection or viral infection of the respiratory tract. Diseases caused by inflammation include chronic conditions such as asthma, cystic fibrosis, COVID-19, and chronic obstructive pulmonary disease (COPD). Acute conditions, caused by either bacterial or viral infection, can affect either the upper or lower respiratory tract. Upper respiratory tract infections include common colds while lower respiratory tract infections include diseases such as pneumonia. Other infections include influenza, acute bronchitis, and bronchiolitis. Typically, doctors use stethoscopes to listen to the lungs as the first indication of a respiratory problem. The information available from these sounds is compromised as the sound has to first pass through the chest musculature which muffles high-pitched components of respiratory sounds. In contrast, the lungs are directly connected to the atmosphere during respiratory events such as coughs, heart rate.
PROBLEM STATEMENT
In this difficult time, a lot of people panic if they have signs of any of the symptoms, and they want to visit the doctor.
It isn’t necessary for the patients to always visit the doctor, as they might have a normal fever, cold or other condition that does not require immediate medical care.
The patient who might not have COVID-19 might contract the disease during his visit to the Corona testing booth, or expose others if they are infected.
Most of the diseases related to the respiratory systems can be assessed by the use of a stethoscope, which requires the patient to be physically present with the doctor.
Healthcare access is limited—doctors can only see so many people, and people living in rural areas may have to travel to seek care, potentially exposing others and themselves.
SOLUTION
We provide a point of care diagnostic solutions for tele-health that are easily integrated into existing platforms. We are working on an app to provide instant clinical quality diagnostic tests and management tools directly to consumers and healthcare providers. Our app is based on the premise that cough and breathing sounds carry vital information on the state of the respiratory tract. It is created to diagnose and measure the severity of a wide range of chronic and acute diseases such as corona, pneumonia, asthma, bronchiolitis and chronic obstructive pulmonary disease (COPD) using this insight. These audible sounds, used by our app, contain significantly more information than the sounds picked up by a stethoscope. app approach is automated and removes the need for human interpretation of respiratory sounds, plus user disease can also be detected by measuring heart beat from camera of smartphone.
The application works in the following manner:
User downloads the application from the app store and registers himself/herself.
After creating his/her account, they have to go through a questionnaire describing their symptoms like headache, fever, cough, cold etc.
After the questionnaire, the app records the users’ coughing, speaking, breathing and heart rate in form of video from smartphone.
After recording, the integrated AI system will analyze the sound recording, heart rate comparing it with a large database of respiratory sounds. If it detects any specific pattern inherent to a particular disease in the recording, it will enable the patient to contact a nearby specialist doctor.
The doctor then receives a notification on a counterpart of this app, for doctors. The doctor can view the form, watch the audio recording, and also read the report given by the AI of the application.
The doctor, depending upon the report of the AI, will develop a diagnosis, suggest medicines, or recommend a hospital visit if the person shows symptoms of corona or other serious condition.
In cases where the AI detects a very seriously ill patient, it will also enable the physician to call an ambulance to the users’ location and continuously track the user.
HOW WE ARE GOING TO BUILD IT
We will take a machine learning approach to develop highly-accurate algorithms that diagnose disease from cough and respiratory sounds. Machine learning is an artificial intelligence technique that constructs algorithms with the ability to learn from data. In our approach, signatures that characterize the respiratory tract are extracted from cough and breathing sounds. We start by matching signatures in a large database of sound recordings with known clinical diagnoses. Our machine learning tools then find the optimum combination of these signatures to create an accurate diagnostic test or severity measure (this is called classification). Importantly, we believe these signatures are consistent across the population and not specific to an individual so there is no need for a personalized database Following are the steps the app will take:
Receive an audio signal from the user's phone microphone
Filter the signal so as to improve its quality and remove background noise
Run the signal through an artificial neural network which will decide whether it is an usable breathing or cough signal
Convert the signal into a frequency-based representation (spectrogram)
Run the signal through a conveniently trained artificial neural network that would predict the user's condition and possible illness
Store features of the audio signal when the classification indicates a symptom
IMPACT
FACO will help patients get themselves tested at home, supporting in areas where tests and access to tests are limited. This will help democratize care in hard-to-reach or resource-strapped areas, and provide peace of mind so that patients will not overwhelm already stressed healthcare systems. Doctors will be able to prioritize patients with an urgent need related to their speciality, providing care from the palm of their hand, limiting their exposure and travel time.
CHALLENGES WE RAN INTO
No financial support
Working under quarantine measures
Working in different time-zones
Scarcity of high-quality data sets to train our models with
One Feature Related Problem- Legal shortcomings we might face when adding the tracking patient feature
ACCOMPLISHMENTS
We went from initial concept to a full working prototype. We got a jumpstart on organizational strategy, revenue and business plans—laying the groundwork for building partnerships with healthcare providers and pharmacies. On the creative side, we built our foundational brand and design system, and created over 40 screens to develop a fully working prototype of our digital experience. Our prototype models nearly the entire app experience—from recording respiratory sounds to reporting to managing contact, care, and prescriptions with physicians. Technologically, we successfully developed an algorithm for disease and have begun the application development process—well on our way to making this a fully functional product within the next 20 days.
You can explore the
full prototype here
or
watch the demo
(and
check out our promo gif
)!
WHAT WE'VE DONE SO FAR
We wanted to show that the project is feasible. Scientific literature has shown that audio data can help diagnose respiratory diseases. We provide some references below. However, it is unclear how reliable such a model would be in real situations.
For that reason, we used a publicly available annotated
dataset
of cough samples:
It is a collection of audio files in wav format classified into four different categories.
We wrote code in Python that converts those samples into MEL spectrograms. For the time being we are not using the MEL scale, just the spectrograms. We did several kinds of pre-processing of the signals, including data augmentation, then convert all pre-processed signals, along with their categories into a
databunch
object that can be used for training artificial neural networks created in the fastai library. The signals within the databunch were divided into training and validation sets.
Because the dataset size was reduced, we used
transfer learning
. That is, we used previously trained networks as a starting point, rather than training from scratch. We treated the spectrograms as if it were images and used powerful models pre-trained to classify images from large datasets. In particular, we tried both two variants of
resnet
and two variants of
VGG
differing on their depth (number of hidden layers). This approach implied turning the sprectograms into image-like representations and normalizing them according to the statistics of the original dataset our models were trained on (imagenet). We first changed the head of the networks to one that would classify according to our categories and trained only that part of the net,
freezing
the rest. Later on we
unfroze
the rest of the net and further trained it. We finally compared the different models by the confusion matrices that we obtained from the validation test. We finally settled on a model based on
VGG19
. We exported the model for later use in classifying audio samples through the pre-existing interface of our mobile app.
The results are promising, especially considering the small amount of data that we have available at this moment. We have included an image of the final confusion matrix that shows how our current network can correctly classify all four categories of signal about 50% of the time, far better than the random level of 25%. We conclude that wav files obtained trough a phone mic provide information that can be useful for diagnosing respiratory condition. We are confident that we can vastly improve both the sensitivity and the specificity of our model if we can gain access to larger, more representative datasets.
We provide an image of the final confusion matrix for our model in the gallery.
This is a
repository
that contains the most important pieces of our work, including some code, the confusion matrix image and the exported final model.
SUMMARY
We are developing digital healthcare solutions to assist doctors and empower patients to diagnose and manage diseases. We are creating easy to use, affordable, clinically validated and regulatory cleared diagnostic tools that only require a smartphone. Our solutions are designed to be easily integrated into existing tele-health solutions and we are also working on apps to provide respiratory disease diagnosis and management directly to consumers and healthcare providers.
Feel free to click on our
website
for more information. We developed this website using Javascript, HTML, CSS, Figma, and integrated it with Firebase to manage hosting and our database. Thank you for reading, and don't hesitate to reach out if you have any questions!
REFERENCES
Porter P, Claxton S, Wood J, Peltonen V, Brisbane J, Purdie F, Smith C, Bear N, Abeyratne U,
Diagnosis of Chronic Obstructive Pulmonary Disease (COPD) Exacerbations Using a Smartphone-Based, Cough Centred Algorithm, ERS 2019, October 1, 2019.
Porter P, Abeyratne U, Swarnkar V, Tan J, Ng T, Brisbane JM, Speldewinde D, Choveaux J, Sharan R, Kosasih K and Della, P,
A prospective multicentre study testing the diagnostic accuracy of an automated cough sound centered analytic system for the identification of common respiratory disorders in children,
Respiratory Research 20(81), 2019
Moschovis PP, Sampayo EM, Porter P, Abeyratne U, Doros G, Swarnkar V, Sharan R, Carl JC,
A Cough Analysis Smartphone Application for Diagnosis of Acute Respiratory Illnesses in Children, ATS 2019, May 19, 2019.
Sharan RV, Abeyratne UR, Swarnkar VR, Porter P,
Automatic croup diagnosis using cough sound recognition, IEEE Transactions on Biomedical Engineering 66(2), 2019.
Kosasih K, Abeyratne UR,
Exhaustive mathematical analysis of simple clinical measurements for childhood pneumonia diagnosis, World Journal of Pediatrics 13(5), 2017.
Kosasih K, Abeyratne UR, Swarnkar V, Triasih R,
Wavelet augmented cough analysis for rapid childhood pneumonia diagnosis, IEEE Transactions on Biomedical Engineering 62(4), 2015.
Amrulloh YA, Abeyratne UR, Swarnkar V, Triasih R, Setyati A,
Automatic cough segmentation from non-contact sound recordings in pediatric wards, Biomedical Signal Processing and Control 21, 2015.
Swarnkar V, Abeyratne UR, Chang AB, Amrulloh YA, Setyati A, Triasih R,
Automatic identification of wet and dry cough in pediatric patients with respiratory diseases, Annals Biomedical Engineering 41(5), 2013.
Abeyratne UR, Swarnkar V, Setyati A, Triasih R,
Cough sound analysis can rapidly diagnose childhood pneumonia, Annals Biomedical Engineering 41(11), 2013.
FACO APP VIDEO DEMO
LINK
FACO PRESENTATION
LINK
FACO 1st Pilot Web App
LINK
Built With
android-studio
doubango
fastai
firebase
google-cloud
google-maps
java
machine-learning
mysql
numpy
pandas
python
pytorch
sklearn
sound-monitoring-and-matching-api
spyder
webrtc
Try it out
github.com | FACO: Fight Against Corona | A contactless digital healthcare solution to assist doctors and empower patients to diagnose and manage diseases | ['Archit Suryawanshi', 'Oghenetejiri Agbodoroba', 'Ntongha Ibiang', 'Sahil Singhavi', 'Ruthy Levi', 'Navneet Gupta', 'Mohamed Hany', 'Prachi Sonje', 'GAVAKSHIT VERMA', 'Shraddha Nemane', 'snikita312', 'Gauri Thukral', 'udit agarwal', 'Francisco Tornay', 'Rubén Aguilera García'] | ['1st place', 'The Best Women-Led Team'] | ['android-studio', 'doubango', 'fastai', 'firebase', 'google-cloud', 'google-maps', 'java', 'machine-learning', 'mysql', 'numpy', 'pandas', 'python', 'pytorch', 'sklearn', 'sound-monitoring-and-matching-api', 'spyder', 'webrtc'] | 23 |
10,402 | https://devpost.com/software/robodoctor | Checkup list
COVID checkup
Covid checkup by using chest X-ray
Liver Checkup
COVID-19 live tracking
Inspiration
As Doctor are so busy during this pandemic situation so they does not give priority to other diseases
What it does
RoboDoc is an intelligent platform that keep tracks about a person’s physical health during face to face and remote sessions.
Okay, now this is a definition type of stuff. Let us dig deeper and know how it is helpful.
Now let us create a scenario. You have a drinking problem. You drink on an average twice or thrice a day. I know it is quite a lot and if this is your habit then you should immediately consult a doctor. No need of this application. But if you drink occasionally and want to keep a check of your liver, that till now how the alcohol content has affected your liver or you should consult a doctor or not, then no need to panic.
Here is the application for you.
Log in through your name and password, go through the links, upload your information and get the required results. Furthermore, this helps you to keep a check on your daily intake and you can easily counter attack anyone who tells you to control your drinking. Just show them your health status on your phone and you can keep their mouth shut. Okay, you don’t need to do that. It is mostly for your health care.
Now, you will ask me this is a very easy task to do. What is special about this application?
If you are thinking in this way then really you are thinking in the right direction. Now let me clarify your doubt.
Let us imagine another scenario. There is a lockdown in your society. I know there it is right now. But now let us just only imagine. Doctors are not ready to see you. But you have your X-Ray and CT Scans and you want a doctor to consult your report.
In this situation, you don’t need to go anywhere. Just open this application, upload your reports and CT Scans and they will generate your report. It will also give you a percentage of your medical seriousness.
This app covers almost all the health-related issues.
Now the second question which you should ask me if you are reading all this very carefully is that what about small health-related problems like allergy and something. How it will help in that case?
For covering this issue, we have a different tab where you can enter your symptoms and can directly contact the doctor through this application.
Having talked a lot about scenarios, let us talk about it’s most important advantages.
Whenever we feel uneasiness, our first action to this reaction is to go and consult a doctor. And when we go there, we find out that there was nothing an issue to be cared about and that you have just overslept. And adding misery to it, you have to pay a sum of money to the doctor for consultation fees. This is for the people who have money to spend on their intuitions. And what about those who just don’t go the doctor thinking that it is a small problem and it will heal automatically over time? And later they find out that these negligence has resulted into a big disease.
To cut out all these factors, this application plays a good role which saves your money and time.
Keeping the recent global scenario we have also kept COVID-19 Tracker as it has become the most essential part of our daily lives.
How I built it
I made machine learning models by the help of data available in open sources.Then by using flask,i converted my vision to flask app.
Challenges I ran into
First ,we faced the problems in collecting of datasets of diseases.Second,we had to make every machine model which took too much time.Third,accuracy played critical role.We had to train model again and again with different algorithms to get good accuracy.
Accomplishments that I'm proud of
This is future of medical industry.
What I learned
Got too much information of medical science as i am an electronic engineer. We have used Kaggle to download and to collect the data stuff for creating the models.
We have also used Flutter which is a kind of hybrid platform which helped us to develop deploy act of Robodoc for android as well as IOS. It
Flask helped us to deploy models and images to the web and make it more user friendly.
What's next for RoboDoctor
Now what we are planning to add on to this is that we are thinking of configuring AI bot which will help us to track and guide user’s previous data so that we can use them when the user logins next time.
We are also planning to introduce more ML models for other diseases so that we can keep up to date of the coming health-related problems and issues in the society.
This is just a start to our dream project and we are all ready to make this application better and better with coming time and would try to serve your imaginations in the best possible way.
It would not just be your dream robot, it would be more than that.
Built With
bootstrap
cnn
computer-vision
css
deep-learning
flask
html
javascript
jinja
machine-learning
Try it out
github.com | RoboDoctor | RoboDoctor is an artificial intelligence system which used to predict diseases like cancer,heart diseases,liver diseases,COVID,etc | ['Aditya Mangal', 'Darsh Patel'] | [] | ['bootstrap', 'cnn', 'computer-vision', 'css', 'deep-learning', 'flask', 'html', 'javascript', 'jinja', 'machine-learning'] | 24 |
10,402 | https://devpost.com/software/ikan-a31g26 | Inspiration
But why have I chosen this app idea? iKan holds a very dear meaning to me as two of my aunts have children with special needs. One of my cousins has infant muscle stiffness and the other is hearing impaired since birth. These disabilities prevent them from enjoying activities common to kids their age and the beauty of life. And the negative impact of their families is that they are unable to find products and services to help them out in their daily life. So why can’t we use such widely available technology and resources to help these families and why don’t I use the knowledge that I have gained in this area to aid the needed families
What it does
iKan is a one stop shop for all care givers and parent for special able kids. I did survey through social media and I was shocked to see the results. So many local families are unable to easily access product to help their children and even spend countless precious hours surfing the web to help their loved ones. For this reason, iKan is an app that allows parents to browse and filter products for what is best for their child.
How I built it
For this app the techonolgy stack was React Native and Firebase. React Native is fairly new tool that allows us to build source code for an app that works for both ios and android. It lessens the time from using native applications like xcode and andoird studio by using one tool that efficient and easy to use.
Challenges I ran into
I have not made a lot of projects before with react native so I ran into some difficulties at times. However, it was a good experience and working on this project helped me a developer.
Accomplishments that I'm proud of
I am very happy with how this app turned out and proud of how I was able to use basic skills in order to create an app that can help many people.
What I learned
I learned to solve problems and design wireframes based on my vision for the app. Also, in the end I was able to improve my react native skills by building iKan.
What's next for iKan
As this app is highly scalable, it can be implemented in communities and become a resource available to all. My vision is for iKan to be distributed to doctors to recommend and have it accessible to larger audiences.
Built With
firebase
react-native
Try it out
github.com | iKan | iKan is an app to connect disabled children so they feel secure and welcomed in their environment. | ['Arushi Aggarwal'] | ['Amazon Gift Cards'] | ['firebase', 'react-native'] | 25 |
10,402 | https://devpost.com/software/covid-watch-ag9t2i | Inspiration
a
What it does
a
How we built it
a
Challenges we ran into
a
Accomplishments that we're proud of
a
What we learned
a
What's next for a
a
Built With
appy-pie | a | a | ['Mashrur Chowdhury', 'Philip Choi', 'Moe S'] | [] | ['appy-pie'] | 26 |
10,402 | https://devpost.com/software/wizard | Here as the problem statement defines we have came with the solution of smart hotel check in and also adding some functionalities to our product
which will be helpful for users like the problems of queue for check in, manual billing and many more.
So at a time we are trying to solve two problem statements i.e
Take out the human interaction
and
Smooth the step in
.
Here we are introducing:
Website
- used for hotel rooms booking,
An App
- for hotel check in,
An IoT setup
- used for setup of local server and to provide user the security while hotel check in process
*
An AI chatbot for better preference
*
Augmented reality
The product is the one-stop solution to take out the possible human interaction throughout, getting a glimpse of the hotel room and smoothing out the check-in and check-out processes.
That will consist of a web and an android app for automating a manual process, 3D modeling using AR/ VR for 360' view for hotel's room real scenario, AI chatbot for easy booking and query handling, and an IoT setup for contactless entry-exit.
The outcome of implementation of such system will be minimisation of queue problem, better customer trust, engagement and curtailing the spread of virus. It will be having implications on tourism industry post-pandemic which will be contributing to the economy as well would be helping to flatten the curve where people are expected to live alongside the virus.
The solution can be divided into mainly these parts:
• Web and Android app for automating manual process The user's profile on the website is first created by registering his details for booking of hotel rooms. A unique code is assigned to the user at the time of registering which has to kept securely for the future authorization process.
• 3D modeling using AR/ VR for 360, real scenario glimpse
A gallery of pictures of various hotel rooms presented at the website. Apart from that when the image of his room interest is clicked on by the user, 360' view image of the room can be viewed by him
• AI chatbot for easy booking and query handling
We have tried to provide much security and privacy while hotel checkin. Here the
admin panel plays an important role for it.
Admin will be
alloting an unique id
to each room with unique user no.
For notification
, when the user will come under the range of Human sensor and will scan the QR code successfully, admin will recieve notification of it.
FOR REFERENCE WE HAVE ADDED VIDEO OF OUR WORK IN EACH FOLDER
Built With
c++
css
javascript
php
python
tsql
Try it out
github.com | wizard | Our idea is generally based on Hotels, offices as we know that hotels and airlines are going through a huge loss so we came up with ideas to solve this problem and using etherum also. | [] | [] | ['c++', 'css', 'javascript', 'php', 'python', 'tsql'] | 27 |
10,402 | https://devpost.com/software/liquay | Model of the Liquay
Inspiration
As I was relaxing at my desk, watching a youtube video on different Asian snacks, one part of the video got my attention. As the vlogger was talking about the mountain of snacks piled on the check out table, I noticed that instead of directly handing money to the cashier, he placed it on a tray. The cashier then took the money and placed some coins on that same try. Teeming with curiosity, I did a quick Google search.
What it does
The Liquay offers a place to put money so that the cashier and the customer don't need to directly touch each other to complete an in-person transaction. This system of putting money in trains originally comes from Japan, but I am just making my own version with a few changes due to the coronavirus. In addition, it's meant to be cleaned at the end of each day because of all the money that it touched.
How I built it
I first made a model of the tray in Autodesk Fusion 360, then I made a simple website to display some of the information about my project. Then after I made a presentation, I published it to youtube and began learning how to edit the video well.
Challenges I ran into
Since it's been a long time since I've used Autodesk Fusion 360, I had to relearn the basics and even some advanced techniques to bring out the best in the model. Plus, my computer's GUI isn't optimal for Fusion 360 so there was a plethora of crashes and problems that I ran into.
Accomplishments that I'm proud of
I'm proud of launching my first, complete, individual project on DevPost. Plus I'm really proud of relearning some design and implementation techniques in Autodesk Fusion 360.
What I learned
I learned about basic and advanced techniques in Autodesk Fusion 360. I learned how to solve some of the problems with my GUI and learned a little more deeply in Computer Hardware.
What's next for Liquay
All I'm really looking forward to do is to inspire someone more qualified to release products and hope that the community improves based of this idea. I just hope that the negative side effects of the coronavirus become alleviated thorough our hardwork and determination.
Built With
autodesk-fusion-360
css3
html5
javascript
w3s-css
Try it out
rashstha.netlify.app | Liquay | A CAD-Designed Cash Tray to leverage direct contact in places like stores | ['Rashmit Shrestha'] | [] | ['autodesk-fusion-360', 'css3', 'html5', 'javascript', 'w3s-css'] | 28 |
10,402 | https://devpost.com/software/zero-contact-uav-bot | Ardu Pilot Software
AA Interactive Form to collect Input
UAV Weather Forecast For Pre-Flight Checks
Mission Planner
UAV / Drone Taking off
Access Database for Logging
Sky Vector for logging Aeronautical chart
Code snippet in step level (MainTask)
Code snippet (Sub Task Module) for Input
Inspiration
The Novel Corona-virus has affected humanity in various ways, be it our economy, our freedom of movement, and the loss of loved ones. Something that struck me was elderly people having to wait in a queue for medicines at an outlet. Even though there are home delivery services, the risk of infection is extremely high as this job requires you to move around places at a higher rate and I recollected news of people infected by pizza delivery agents / Swiggy agents throughout India on multiple occasions. The Lockdown definitely has slowed down the infection rates but we are forgetting that all essential services are not contactless. That's when I decided to create a solution to this by using a Drone / UAV to Deliver essentials and medicines primarily for the vulnerable among us so that we ensure they are safe, Drones are usually manually remote-controlled by a pilot. Me myself being an aerospace engineer with focus on Avionics and with Automation Anywhere. I decided to use an AutoPilot Mission Planner to write coded commands to the Flight controller in order to make the Flight Autonomous and deliver the essential package and return home.
From the News
Bengaluru on superspreader alert after delivery boy tests positive
-
Click here to read
83-year-old man collapses while waiting in New World queue in New Lynn
-
Click here to read
Features in a nutshell
Interactive User input
Database Logging
Autonomous UAV Flight
Automated Pre Flight Checks
Address to Geo Coordinates conversion
Distance, Payload release altitude Calculation
AutoPilot Command creation (Flight Plan)
Payload Delivery (Essential package Delivery)
Scalability
What it does
The Bot collects the delivery address and input data using Interactive forms and converts the address string into location coordinates using Geocoding API and uses Python Script to calculate the Flight Distance using Haversine Formula based on the range of the UAV and Performs Pre-Flight Checks such as Wind speed, Temperature, Precipitation Probability, Cloud Cover, Visibility and more. It also checks for any nearby airport and logs the Aeronautical charts for the way-points using Sky Vector web service. It then Sends Flight information to the DGCA for Flying permission via API. It then calculates the payload release altitude based on logic using the Indian regulatory guidelines for construction. Finally, the bot compiles this information to create a flight plan command and uses the Mission Planner which is Ground Control Software to write the code into the Flight controller AutoPilot using a wireless transmitter and launches the UAV on its mission. While doing this each flight is tracked by a unique flight control number and logged to a database for future audit and compliance purposes and folder is created with Logs, charts, and autopilot code. Hence this Bot enables users to completely automate the Pre-Flight processes and automate the creation of code for Autonomous UAV Flight which will Deliver the payload (Essential Package) at the desired location and return back home and complete the mission. This makes the complete process contactless and safe. Hence serving the essential needs of the most vulnerable and reducing the infection rate.
How I built it
This RPA Solution is Built on Automation Anywhere A2019 and integrates with various technology as mentioned below, which is the real beauty of RPA.
Microsoft Bing Geocoding API
Python 3.8.3
Ardu Pilot Mission Planner ( with wireless transmitter )
Interactive Forms
UAV Forecast Service
Sky Vector Chart Service
DGCA API
Microsoft Access Database
UAV / Drone & Payload release mechanism
Challenges I ran into
One of the challenges was to use complex mathematical formulae using Python to derive certain parameters. However, the Python Package on A2019 made it really easy to call Python functions inside and code and get the output. Also creating a waypoint plan for the Autopilot was initially a challenge however using the product documentation I was able to create the flight plans using Log to file package making all the values dynamic.
Accomplishments that I'm proud of
I am happy that I was able to use my academic knowledge in Aerospace, my work expertise in Robotic Process Automation, and my curiosity to explore new possibilities in creating this solution which can help the world in this traumatic situation. I am also happy that I was able to bring out the true sense of Anywhere in the name "Automation Anywhere".
What I learned
It was indeed a great experience to develop this bot with a lot of research, trial & error and new learnings. I was able to start off with Python and I'm looking forward to trying out further possibilities.
What's next for Zero Contact UAV Bot
The RPA solution can be scaled up for usage with Queue (WLM) and to further improvise and add on more features. To make the solution more independent we can have a "Raspberry Pi" attached to the drone and connected to the Flight controller and the Internet. We can install AA Bot agent on the Raspberry Pi running windows and we can remotely deploy the automation considering the Drone as a bot runner with wings ;). This drone will be a fully automated solution for an Autonomous Flight using Robotic Process Automation as the base Technolgy.
Other areas of usage
Delivery Services
Search and Rescue Facilities
Climbers and Firefighters
Mine and Oil Industry
Military and Gaurd Services
Disaster Relief Services
Built With
api
ardupilot
automationanywhere
autonomousuav
flightcontroller
geocodingapi
missionplanner
payloadreleasemechanism
python
skyvector
uavforcast
Try it out
github.com | Zero Contact - Essentials Delivery UAV Bot | The Bot creates and executes an Autonomous Flight Plan for a UAV / Drone based on Guidelines for Contact less Delivery of Essential commodities during the pandemic. | ['Manuel Varghese Philip'] | ['The Wolfram Award', 'First prize', 'Gold'] | ['api', 'ardupilot', 'automationanywhere', 'autonomousuav', 'flightcontroller', 'geocodingapi', 'missionplanner', 'payloadreleasemechanism', 'python', 'skyvector', 'uavforcast'] | 29 |
10,402 | https://devpost.com/software/devit | Introduction
Amid the current COVID-19 situation that has engulfed the whole world; everyone is facing challenges and are socially impacted. This has encouraged us to develop a project management platform on which corporate companies manage their work with total privacy and ownership during remote work from home.
Problem Statement
With the World Health Organization (WHO) declaring Coronavirus (COVID-19) a global pandemic, the communities around the world are forced to practice social distancing, while companies have enforced work from home policies in an effort to flatten the curve of viral infections across the population.
Given the isolation currently being experienced within communities right now, we want to create an online platform or space where developers can ideate, experiment and build software during this crisis.
Our Idea
Due to the prevailing situation from COVID-19 companies and organisation are forced to work from home. Most of them need to use third party platform and softwares to manage their project/work online. Using such third party platform does not assure total ownership of the project since third party may also see their confidential or important project files, work or prototypes. Living in era of web 3, our idea is to make a controlled platform that will help developers from corporate background, who are forced to work from home, and even free lancers to develop, store, manage their ongoing projects amid this lockdown with true ownership, integrity, transparency and security. To achieve this goal, we have used blockchain-based
BlockStack
technology which eliminates the involvement of any third party and provides transparency. We have used
BlockStack Auth
and
Gaia Storage
to give true owner ship to users. Moreover, we have only used the BlockStack eco-system.
Team Quaran-Hack
Built With
blockchain
blockstack
css
html
javascript
node.js
Try it out
devit-7cd11.web.app
github.com | DevIT | An open source project secured by blockstack with commitment of privacy and ownership for your remote workspace. | ['Devarsh Panchal', 'Naivedh Shah', 'Harsh Mauny', 'dwij patel'] | ['Best Open Source Project on GitHub', 'Top 10'] | ['blockchain', 'blockstack', 'css', 'html', 'javascript', 'node.js'] | 30 |
10,402 | https://devpost.com/software/corona-protective-gloves-and-ppes | Inspiration: On this current situation COVID19 affected patient count will be growing exponentially and WHO declared that COVID19 outbreak is a global pandemic. Our medical resources are reducing day to day and Doctor and medical staffs are also affected with corona virus because they are directly connected with COVID19 patients. The crisis of shortage of doctors and medical staff in this critical situation is a most crucial scenario. So, this is very important to protect doctors and medical staff’s for our society. Apart from that coronavirus is very infectious disease, very easily spread through touching. Considering this aspect, we designed a glove that is the very helpful to protect doctors and medical staffs from coronavirus without harming our resources.
What it does :
As per WHO, alcohol is a chemical which will able to destroy novel Corona Virus by breaking their outer lipid-coat. Basis of this concept the present innovation is introduce a special type of gloves that is capable to wet its contact surface by alcohol in every 20 min. and the alcohol comes automatically from the embedded container.
The alcohol container (60 ml) and a lightweight specially designing pump, controlling unit is connected with the alcohol container for the alcohol ejection time to time. The alcohol come from the container and spread on gloves contact surface through the pipe-line and disinfects the gloves.
How I built it:
The effective model introduced with self-disincentive intelligent gloves. The gloves integrated with the module of self-disinfection with alcohol carrying small container and a mini lightweight pump. The alcohol able to destroy novel coronavirus by breaking their outer lipid-coat. Alcohol have the capability to destroy other infected virus/ other bacteria as well. This special type of gloves eject alcohol from all the pore of thin pipe grid embedded with gloves surface on 20 munities of time interval. This time interval will also able to change according to requirement. The alcohol container populated at upper portion of gloves with the capacity of 60 ml alcohol contenting for 5 ml ejection of each interval. The facility is introduced to restore alcohol after it finish at 8 hrs. of interval for continuous use. The self-disinfectant module is introducing in Personal protective equipment (PPE). In case of PPE, this module it carries total two 1.2liter alcohol pouches encapsulation one for upper PPE and another for lower PPE. The pored pipe grid distributed across the PPE surface with proper integration. Every 20 minutes of interval 30 ml alcohol ejected at the surface of PPE and disinfect the external part of PPE. Alcohol pouches need to replace 8 hrs interval on the basis of continuous use of Self Disinfectant Module.
The manual switch is incorporated as per the requirement of no/off of this module. The 60 ml alcohol contenting module is introduced separately for frequently touchable places such as door /window knob, railing of stairs, ATM keyboard, Left switches, other switches etc. In case of frequently touch required place, a transparent flexible plastic module is encapsulated with Self Disinfectant Module. The pipe line connected with the plastic and container capable to carry 60 ml alcohol. 20 minutes of interval the alcohol ejected automatically and wash out the transparent plastic using alcohol. The transparent plastic insulates the electronic switch of ATM, lift or others from alcohol drenching. This invention claims its importance on the basis of present scenario of world and it is obvious to introduce in new industry sector.
Challenges I ran into :
I have to design a special pumping unit because it should be one directional alcohol flow and to be leakage proof.
What's next for "CORONA PROTECTIVE GLOVES AND PPEs"
After this gloves I am designing a total PPE suit with automatic alcohol sanitizer module.
Built With
alcohol
arduino
c++
gloves
lipo
pump | "CORONA PROTECTIVE GLOVES AND PPEs" | As per WHO Alcohol can able to kill Novel Corona virus. By this concept We made a special gloves that can wet its contact surface by alcohol in every 20 min automatically.we are also design other PPEs | ['Sankha Dey'] | [] | ['alcohol', 'arduino', 'c++', 'gloves', 'lipo', 'pump'] | 31 |
10,402 | https://devpost.com/software/collabcircle | Log in page
Find friends page
Sign Up page
Portable Piano- 3D model
Arduino UNO Setup
Inspiration
Finding new teammates during a hackathon is challenging for everyone. So, our team tried to find a solution for it
What it does
CollabCircle is a website that lets the user to find teammates according to their interest. CollabCircle asks user to sign up and add their interest like their hobbies, skills and other favorable thing. In return, CollabCircle will provide list of users with similar interests. Also keeping in mind, during hackathon, it lets teammates to entertain themselves during hangouts when physically apart by using a Portable Piano by our team.
How I built it
We used node.js for backend programming and algorithms that makes the project 'Unique'
Used Bootstrap Studio for frontend designing which gives the project most 'Unique' User Interface
Used Arduino UNO for the portable piano which gives the user 'Unique' way of entertainment.
Challenges I ran into
Different Time Zones: Every teammate belongs to different part of the world which was difficult for all of us to give time to the project
Unfamiliar with some software: No one of us has equal skills in software development so, we divided work and tried to do as much as possible.
Accomplishments that I'm proud of
Got to know about hardware development
Got experience with software development
Got to know more about cultures of different countries
What I learned
Got experience with bootstrap studio.
Tried to work with node.js for first time
Improved my skills at website development
Working on Arduino UNO improved my knowledge with hardwares
Team Work
What's next for CollabCircle
We will try to make Mobile app that will let user to contact with the team anywhere
We will make a chat area in the project where users may chat with their teammates
Will use Machine Learning to improve team finding
Introduce a software through which user can get tutorials for beginners, music notes by music genre.
Built With
bootstrap
express.js
javascript
mongodb
node.js
Try it out
naseeb0.github.io
collabcircle.online | CollabCircle | Collaboration Made simple around the world! | ['Naseeb Dangi', 'Wei Sheng Tan', 'Keshav Majithia'] | [] | ['bootstrap', 'express.js', 'javascript', 'mongodb', 'node.js'] | 32 |
10,402 | https://devpost.com/software/funnybunny-e7u98y | FunnyBunny
Funny
Wise
Inspiration
We wanted to see if we could implement and create a bot that was actually funny and make the user laugh! Plus, with the pandemic, we wanted to create a unique way for people to disconnect and relax and smile without needing to leave the house.
What it does
We present you with a funny chatbot who has been trained on speech from the fan favorites of television: The Office, Gordon Ramsay, and Friends. Yes, the bot can definitely tell you a joke, but just like all the true comics, its humor flows out effortlessly during a conversation. And don’t forget to ask about the weather! Don’t say I didn’t tell you it’s funny AND helpful!
Personality: funny with a side of sass
Hobbies: keeping you company and helping you out
Cute
A fun conversation with FunnyBunny
How we built it
We used:
Gordon Ramsay
Chandler Bing
The Office cast
Chuck Norris
Dad jokes
React Native
DialogFlow
Amazon Alexa
Google Cloud
Adobe Illustrator
SpaCy for POS tagging and linking, word association and NLTK for sentiment.
To determine conversation flow, we utilized Google Cloud’s DialogFlow and designed a conversation flow, creating custom intents and entities. With each user input, the app pings the DialogFlow API to get the correct response. Additionally, we created an Amazon Alexa skill that has the same functionalities as our app, so the user can have the same great experience using Amazon Alexa.
The backend was deployed on Google cloud platform as serverless cloud functions. These functions had a python 3.7 runtime with 128 MB ram. The segregated nature of the endpoints meant that some user config data was stored in a mongodb instance which was looked up upon invocation.
Challenges we ran into
Initially, we created the Alexa skill and saw that Google offered an easy import tool which sounds too good to be true, and it was - that tool no longer works. So, we spent a lot of time reading and understanding many of the Google Cloud Products in order to successfully manually transfer the dialog model. Interestingly enough, you can code in python for AWS Lambda but not for Google’s Cloud Functions, so we needed to find a workaround for the lack of Python compatibility of Google Cloud Functions.
Accomplishments that we're proud of
We're really proud that our product is actually working! Jokes aside, we learned about integrating different parts together from the application to the cloud and the NLP engine.
What we learned
We learnt how to use stuff that makes it work.FunnyBunny has a good sense of humor!
What's next for FunnyBunny
We wanna move it move it
Built With
react-native
Try it out
github.com | FunnyBunny | Bunny with a sense of humor! | ['Ebtesam Haque', 'Muntaser Syed', 'Sarah Zhou'] | [] | ['react-native'] | 33 |
10,402 | https://devpost.com/software/gearz | Our logo!
Our landing screen, with an interactive gear simulation to play with while waiting for a room
Two players set up side by side, ready to join the same room using the room code
Two players communicating about the solution through the built-in room chat
The board for each player after solving one of the first few levels
Our help page
Inspiration
Over the past couple of months, COVID-19 has driven much of society online - from school to work to play, we rarely leave our computers, never mind our homes. This, in turn, has frayed many of our personal relationships and decreased the number of opportunities we have to socialize and meet new people. Thus, the aim of Gearz is to connect people organically, through solving puzzles that require collaboration.
What it does
Gearz is a browser game with an innovative twist - two players must work together in order to link gears together and advance through the levels provided. The built-in chat feature allows for easy communication, and the option to join random games facilitates socializing with unfamiliar players.
How we built it
For the gear system, we designed gears from scratch in
Autodesk Fusion 360
, then loaded them into
Matter.js
to simulate the gears rotating with each other. To allow for connection between players, we created rooms in
Socket.io
. Our website was built entirely in
JavaScript, HTML, and CSS
with a server in
Node.js
, and was hosted on
repl.it
.
Challenges we ran into
One challenge we ran into was making sure that a room would start when two people joined a room. We found out this discrepancy occurred because of the method that the pages were being loaded, so we delayed the signal from the server to start the game until the pages loaded for all players.
Another challenge was loading the gears into Matter.js and figuring out how to rotate them. This took a while, as all documentation pertaining to our gears was general information on SVG files within Matter.js, so it was a general struggle to figure out the translation, rotation, and locking of the gears on the grid. We also found that many functions in the documentation would not work as expected (such as translation), so we designed our own functions using those that did work to make sure that when one player moved a gear, the same gear moved for the other player too.
Accomplishments that we're proud of
We’re really proud of our linkage between Matter.js and Socket.js. This linkage is the foundation of our project, and took a lot of work to get up and running. However, once the linking was finished and game rooms began working, the project came together really well, which we’re super proud of.
What we learned
On the server-side, we learned how to use Socket.js to create game rooms and allow users to interact with each other. Only one of our team members had used Socket.js before, so for the majority of us this was a new experience. Matter.js was also new to every team member, and we all learned a lot about how rigid bodies interact with each other and the physical properties of gears and motors.
What's next for Gearz
In the future, we would like to develop more levels, work on stylizing the game more, develop the landing page of the website, and invite more people to try the game out. Gearz is a way for people around the world to connect and play a game with each other, even during a quarantine that prevents us from doing so in person.
Built With
css3
html5
javascript
json
matter.js
node.js
Try it out
Gearz.kgauld1.repl.co
github.com | Gearz | connecting gears + people | ['Kevin Gauld', 'Katherine He', 'Ethan Horowitz', 'Oleh Shostak', 'Carolyn Qian'] | ['Best Social Connectivity Hack'] | ['css3', 'html5', 'javascript', 'json', 'matter.js', 'node.js'] | 34 |
10,402 | https://devpost.com/software/code-assistant | Inspiration
With the recent COVID-19 pandemic, students worldwide have transitioned to online schooling. For some students, however, the transition has been harder than for others. Near where Veer lives is the oldest school for blind students: Perkins School for the Blind. Veer had always wanted to help them, and, during these times, he decided to help them when they needed it more than ever. Together, our team worked on an online platform dedicated for the blind and targeted for our favourite lesson: programming.
According to the National Federation of the Blind, COVID-19 has had a disproportionate impact on the blind, with many facing additional challenges during the pandemic. From an education standpoint, blind students and blind parents face uncertainty about the types of electronic materials they will be expected to use for the remainder of the academic year, making it hard for them to keep up with classes. Lastly, it is difficult for the visually impaired to learn how to code on their computer, a challenge which has been exacerbated by the pandemic.
What it does
We utilized a complex tech stack incorporating alexa skills, flask endpoints, rest api's, google cloud speech to text, and a python desktop application in order to build a speech-to-text editor which can listen to speech, translate it to Python code, and then display the code in an desktop text editor. The platform is complete with voice enabled git commands which the user can perform using the amazon alexa.
We used natural language processing to:
Allow the visually impaired to code in python by simply speaking
Provide a handful of voice enabled git commands and speech recognition features to effectively teach coding and version control
Display the spoken code in an online IDE, where one can run it and get the output
How we built it
We used:
Amazon Alexa
Flask
Python
Natural Language Processing
Google Cloud Speech API
Challenges we ran into
At first, we wanted to run everything through Alexa; however, we soon learned that we could not read raw text directly from an Alexa action. Thus we decided to pivot to using Alexa for specific commands and the GCP to intake and process all the commits. We also faced difficulty with time zone differences and staying connected.
Accomplishments that we're proud of
We're proud of how we handled the situation once we figured out Alexa couldn't process raw data. We were able to pivot our project nicely and create a product we're proud about. Despite never having met in person, our team as a group was able to be flexible and adapted to the situation.
What we learned
We learnt how to use speech recognition and execute the code in string form. We also learned more about linking Alexa skills and git commands with Python, as well as connecting to flask endpoints through desktop applications, especially for real-time work. Overall, three of our four teammates learned about Alexa and its compatibility, and we all tried to learn more by combining different technologies together.
What's next for Alexa, Let's Code
We eventually want to push this out for all Alexa users. In addition, we want to connect our application with popular text editors, such as VSC, Repl.it, and Atom. We want to eventually expand our project to more languages and functionalities to ease the life of developers.
Try it out
github.com | Code Assistant | Alexa enabled git commands and text editor helping the visually impaired to code | ['Veer Gadodia'] | [] | [] | 35 |
10,402 | https://devpost.com/software/neatstock | NEATStock
Stock recommendations with NEAT.
How it works
This system works using NEAT which stands for Neuroevolving Augmented Topologies.
In basic terms, it starts with a set of simple random neural networks (with random hyperparameters such as weights). Then these neural networks are tested and randomly mutated keeping only the winning or best neural network each time. Over time, the winning neural network becomes amazing at the job. The networks are judged on "fitness" and this means different things in different projects. In the case of my project, it meant the success of the neural network in the stock market simulation. At times I found that the algorithm works hugely better on some stocks than others and this explains how just as a graph, the stock market may be spontaneous and unpredictable. This is why I have attempted to combine it with real-world events which ever so slightly bias the data and make it easier for the bot to use. This system isn't yet perfect though and remains as a future plan for this project.
Issues
This system is useful in some senses as a second opinion for whether to buy or sell a stock as well as how risky the investment is according to the spontaneity and unpredictability of the dataset, but cannot be trusted blindly.
The accuracy varies wildly with this system. At times the accuracy is below 50% and at some, it is at 90% making huge profits in the simulation.
Future plans
Add a regression analysis algorithm to aid with risk analysis. Improve the event bias algorithm.
What I learned
I learned a lot about the stock market in doing this project, which isn't linked to coding in many senses however still remains a learning. As well as this I learned how to implement the NEAT algorithm which is not something I've done before.
Dependencies
yfinance - To get stock information.
numpy - Neural networks and matrix multipication.
Try it out
github.com | NEATStock | Using NEAT (Neuroevolution of augmenting topologies) and other algorithms to recommend BUYIng or SELLing stocks as well as risk calculation (based on the spontaneity of the dataset). | ['Aditya Khanna'] | [] | [] | 36 |
10,402 | https://devpost.com/software/ementalhealth-campus | COVID-19. Mental Health Impact
Isolation. Q&A.
We all need to say goodbye. Stages of loss and grief.
Panic Psychology. How to take over of threats?
Inspiration
The Covid-2019 pandemic is having an unprecedented impact on the behavior of people and the relationships between individuals and countries as well as the blow to the economy. The adaptation of work environments to the new normality, the exploration of new models of relationships between individuals, dissemination of strategies to improve resilience, assertive communication of the new postcovid-2019 rules and a strengthening of mental health and emotional well-being are being the new challenges to overcome
What it does
Dissemination, promotion and training of mental health and emotional well-being as support of improving resilience and assertive communication of new postcovid-19 challenges.
How I built it
Through our eMentalHealth-Campus online as a repository of online workshops, tutorials and guides to support self-help therapies in the management of anxiety, depression and burnout syndrome also includes access to mobile applications.
Challenges I ran into
We are currently working on the implementation of online workshops based on virtual reality scenarios for the therapeutic support of health workers.
Accomplishments that I'm proud of
We belive that it is a project with a deep social and human focus, focused mainly on the dissemination of strategies and models that help people overcome their experiences and adapt to the new postcovid-19 normality.
What I learned
The mental health impact of the covid-19 pandemic has yet to figure out.
What's next for eMentalHealth-Campus
We belive it is a project with a huge projection. Countries that gradually manage to overcome the covid-19 crisis will need training resources to the new normality of their population. Other countries such as India and Brazil require guides to support citizens that are easy to use and that help overcome the crisis. Guide such as the one carried out by our team during the crisis in Spain and Italy that can be seen at
https://covid2019.saludmental.eu/
(Spanish version). On the other hand, international organizations like the European Commission have opened numerous social inclusion and well-being projects in which the project is clearly aligned.
Try it out
mentalhealth.talentlms.com | eMentalHealth-Campus | Dissemination, promotion and training of mental health and emotional well-being based on existing e-learning technologies and the application of others such as virtual and augmented reality | ['Ibonis (Mental Health)'] | [] | [] | 37 |
10,402 | https://devpost.com/software/eyeai | Proliferctive Diabetic Retinopthy
Glaucoma
Normal
Inspiration
Diabetic Retinopathy and Glaucoma are the leading causes of blindness all around the globe.
In countries like India there's drastic shortage of more than 100,000 eye doctors and just 6 million of the 72 million diabetics are screened for eye disease.
Both of My parents are ophthalmologist and they work at a organization called Aravind Eye Hospital.
The organizations key vision and mission:
Provide compassionate and quality eye care affordable to all
Extending the reach of quality eye care to the poor and needy – through active community involvement, screening camps, and IT enabled Vision Centres in rural areas.
So I believe we can develop AI models to fill the gap and improve health care in rural India.
So the objective is to use pytorch to train two models
Classification model for Diabetic Retinopathy diagnosis
Segmentation model to compute cup to disc ratio for Glaucoma diagnosis
What it does
One system for diagnosing both Diabetic retinopathy and Glaucoma.
Predict diabetic retinopthy with very high accuracy
Compute Cup to disc ratio with very accurate segmentation mask
How I built it
The is project is based on Pytorch
I trained the diabatic retinopathy classification model using Fastai
I trained the cup to disc segmentation model using pytorch
-I built the backend using flask
Challenges I ran into
Creating the Web App was the biggest challenge, even though it is a simple app I did not have much knowledge in web dev so it was challenging and I did not have a lot of time left.
Accomplishments that I'm proud of
Creating a end to end application
What I learned
I learnt how to use pytorch in detail (I generally used keras or fastai)
I learnt a little bit of Webdev
What's next for EyeAI
Improve the training accuracy of both the models and do a clinical validation.
Built With
fastai
flask
python
pytorch
Try it out
github.com | EyeAI | Detect leading causes of blindness with just a click of a button using AI | ['V Krishna Adithya'] | [] | ['fastai', 'flask', 'python', 'pytorch'] | 38 |
10,402 | https://devpost.com/software/spark-cdr0kl | Inspiration
Over the past decade, Northern California has been constantly plagued with hundreds of inevitable wildfires, many of which are sparked by malfunctions in the power grid. As utility companies like PG&E have utility lines spanning thousands of miles, routine checks on each of these lines can only happen once a year, so vegetation around utility poles can grow out of control and come into contact with power lines.
What it does
It is a simple-to-use iOS application that helps anyone with an iOS device seamlessly notify utility companies of hazardous situations such as a tree branch leaning on a utility pole or power line, which could potentially start a fire. It’s quick, accurate, and very helpful for utility companies to use.
How we built it
The application was built using the Swift Programming Language via the XCode IDE. We started with developing the UI of the application to make it responsive and easy-to-use. Next, we programmed the logic of the buttons and saving the data in Google Firebase Realtime Database. Using the CocoaPods Framework, we were able to file a report into the database sending the report information and a picture. We also created a website using HTML/CSS/JS to be able to present the data extracted from the Firebase Database and display that for utility companies to view. We finally added the Map to pin-point the user locations.
Challenges we ran into
Particularly, sending the image that the user took of the incident to the database was very hard to master. Unlike text, where you can just send data as a string to be displayed as such in the database, images have completely different protocols for transmissions.
Accomplishments that we're proud of
Other than this, finding bugs were the most rewarding yet frustrating part of the experience, as we learned that nothing is more fulfilling than fixing a SIGBART fatal error. However, being stuck trying to solve that same error lends a feeling of hopelessness, and so the duality of the experience really appealed to us.
What we learned
By the end of development, we learned a lot about troubleshooting and teamwork, as even the most minor problems once seemed like impossible obstacles to overcome.
What's next for Spark
So far, our solution has the potential to save the state of CA millions of dollars because it solves a problem that would otherwise be addressed using expensive hardware systems that, as estimated by the California Public Utilities Commission, could cost well over five million dollars. PG&E has been proposing many solutions to this issue, but none have been passed because of the hefty price tags of these propositions. This is why we would like to create a second version of the application that can create a complete database of every utility pole in the state of California.
Built With
cocoapods
css
firebase
html
javascript
swift
Try it out
drive.google.com | Spark | Spark is an application created to simplify the process of reporting potentially hazardous vegetation and wires near power lines and utility poles. | ['Aditya Sharma', 'Ishan Goyal'] | [] | ['cocoapods', 'css', 'firebase', 'html', 'javascript', 'swift'] | 39 |
10,402 | https://devpost.com/software/covid-alerts | Example Auto Text Message
Inspiration
With the current number of COVID19 cases skyrocketing in California we wanted to create an application that is able to send out daily texts to warn users about the severity of the pandemic, encouraging them to stay home.
What it does
COVID Alerts is able to send out daily texts to its users providing them with information on the current total number of COVID19 cases and deaths in their county as well as how many cases and deaths were gained or lost within the past day or week.
How I built it
COVID Alerts was built using Python with the help of the Pandas framework and Twilio API. We used pandas analyze and retrieve data provided and updated daily by the New York Times and Twilio API to send auto daily messages to our users.
Challenges I ran into
Some of the biggest challenges that we ran into was finding the right data set and learning Pandas in such a short time period.
Accomplishments that I'm proud of
We are proud of the overall application as we were able to turn a simple idea into a working product in such a short time that will hopefully show our users the severity of COVID19.
What I learned
We learned how to effectively code together while living hours apart through the use of Git/github as well as a very popular and important data analysis framework such as Pandas.
What's next for COVID Alerts
We plan to add different kinds of alerts that branch out further than just the change in total amount of cases and deaths in our user's counties.
Built With
pandas
python
twilio
Try it out
github.com | COVID Alerts | Auto messenger that sends daily texts to the users informing them on the current amount of COVID19 cases and deaths in their county | ['Jon Low', 'Trung Dao', 'Vakhshoori101'] | [] | ['pandas', 'python', 'twilio'] | 40 |
10,402 | https://devpost.com/software/recycling-rodeo | Gameplay
Picture from Animation
Game over scene
Title scene
Gameplay
We were inspired by the sheer amount of plastic that forgets to be recycled everyday. There are so many dangers and negative consequences of not recycling. Other countries have all taken measures to keep plastic waste at a minimum, but America has been falling behind.
You play as a cowboy character that is running away from a pile of plastic bottles. The object of the game is to collect stray bottles and recycle those without being overrun.
We made an animation using Blender and incorporated it as our initial intro sequence.
We did not know how to incorporate the animation into the game at first. The cowboy character also clipped into the ground when using the roll motion.
We were very proud of the animation we created.
We learned
We intend to improve the graphics and quality of the game. We may even include different themes, such as preventing smoking.
Built With
blender
c#
unity
Try it out
github.com | Recycling Rodeo | A video game teaching the importance the recycling. | ['Ayush Botke', 'Edmond Niu'] | [] | ['blender', 'c#', 'unity'] | 41 |
10,402 | https://devpost.com/software/memory-match | Inspiration
The COVID-19 pandemic has completely changed the way we live our lives. Entertainment and fun have not been of the utmost concern given the current situation. We are all bored at home and need something to pass time with. This game was created to invoke some sort of nostalgia in you and work your brains. We wanted to bring some 3d augmented reality fun to you.
What it does
This simulation uses unity and echoAR to develop a memory game. A user can select different boxes and unveil what is underneath. They have to remember the location of certain objects and which boxes they are underneath, so they are forced to use their brains during quarantine. Sucks, right?. The user needs to determine which boxes have the same object underneath till they guess all 15 pairs correctly. This program was originally intended to be created using augmented reality so that the user could play the game wherever they are from their phone. However, due to an unforeseen error, this interface could not be translated to a mobile phone to implement the AR for the user to use. We can assure you that we tried for a long time, but sadly, it did not work. This program uses models from echoAR, and hypothetically it should be possible to view them from your phone.
How we built it
This simulation uses unity and echoAR to develop a memory game. A user can select different boxes and unveil what is underneath. They have to remember the location of certain objects and which boxes they are underneath, so they are forced to use their brains during quarantine. Sucks, right?. The user needs to determine which boxes have the same object underneath till they guess all 15 pairs correctly. This program was originally intended to be created using augmented reality so that the user could play the game wherever they are from their phone. However, due to an unforeseen error, this interface could not be translated to a mobile phone to implement the AR for the user to use. We can assure you that we tried for a long time, but sadly, it did not work. This program uses models from echoAR, and hypothetically it should be possible to view them from your phone.
Challenges we ran into
Challenges we faced were working with the echoAR console/interface and importing those 3D objects into Unity. The ARFoundation pack was tough to figure out, and we could never “build and run” our program in order for it to be compatible with our phones. Another issue we ran into was implementing the AR for the user’s phone. After hours of research, we were still not able to find a fix and were not able to achieve what we initially hoped to do. We believe our game would have been much better if AR was incorporated.
Accomplishments that we're proud of
Our team is proud of submitting something for this hackathon. We were happy to improve upon our Unity and echoAR skills. We are proud to have been able to work with such new and improving technology.
What we learned
We learned about the various uses of augmented and virtual reality. EchoAR is our first experience to create AR/VR apps and games. We were exposed to many more aspects of computer science and development. It has also let us know that we should be more prepared and organized as we ran into quite a few problems.
What's next for Memory Match
Not being able to incorporate the AR aspect of echoAR into our project lowered our expectations of what our final project should be. We want to be able to let the user see the 3d objects on their floor, table, or wherever. Also, we want to try to make the models in the game interactable with. We are all hoping that next time, we can incorporate echoAR to create bigger and better projects.
Built With
blender
c#
echoar
unity
Try it out
github.com | Memory Match | We thought this would be a fun way to bring back some memories. We’ve all played this game as children, but have we ever played an AR version? With this, you could play memory from your phone. | ['Eric Wang', 'Shiva Subramanian'] | ['Best Use of EchoAR'] | ['blender', 'c#', 'echoar', 'unity'] | 42 |
10,402 | https://devpost.com/software/moodmatch-9g4xv3 | logo
sample movie conversation
sample music conversation
Inspiration
When one thinks of vacation, the first thing that comes to mind is a setting like Hawaii or some tropical island or perhaps even beautiful wildlife. But due to this unprecedented time in our world, it is difficult to make these vacation dreams into reality, in turn forcing people to rely on some virtual way of getting the vacation vibes. This, along with the issue of not being able to understand one’s true emotions and grasp what is needed to acquire a more positive mindset inspired me to create MoodMatch.
What it does
MoodMatch is a Facebook Messenger ChatBot that recommends songs and movies based on a user’s current mood. MoodMatch understands the user’s current emotions by asking several personalized questions and using novel sentimental analysis algorithms to deliver several songs or movies which will cheer up the mood of the user.
How I built it
Before this project, I was very new to the ideas of creating a project. This project introduced me to the end-to-end programming pipeline. I started by first mapping out what I had to do:
Obtain a list of songs, artists, and lyrics of the songs and similarly movies, and years they were created in
Perform sentimental analysis on the songs and movie titles as well as movie summaries to understand what kinds of feelings are exhibited by the song/movie
Create a messenger bot
Program the messenger bot to ask the user questions
Process the results (sentimental analysis on the chosen choices)
Recommend songs or movies with similar sentiment levels or perhaps higher sentiment levels to cheer one up
Created a fully functioning webpage that allows users to try out MoodMatch directly on the website
I followed this process thoroughly and used the Microsoft Azure Cognitive Science API to perform sentimental analysis. I also used various APIs including Spotify, Genius Lyrics, and various others.
Originally, I had meant for MoodMatch to pop up a Messenger Webview and encourage users to fill out a form that would then allow for the processing of data, however, Facebook’s innovative Quick Replies module on Messenger allowed me to make MoodMatch more interactive and personalized for users.
I also learned the importance of using various REST APIs including TMDB (The Movie DataBase) and various movie trailer npm packages.
Challenges I ran into
As I was very new to the end-to-end programming process, I ran into many challenges including not being able to understand what was wrong. My first challenge in this journey of completing MoodMatch was deploying my messenger bot on a Heroku server. Many times, I received an Error 400 or Error 500 stating that the /GET request cannot be found. However, once I got over this hump by fixing a few lines in my code, I was faced with several other tough mountains:
Obtaining results from the HTML form and using ExpressJS to deliver POST requests
Returning a list of songs and executing my algorithm on an ASYNC function
Transitioning from a bland messenger webview to more interactive Quick Replies
I often asked friends or even posted on StackOverflow to get some of my questions answered and get over these challenges. This project truly wouldn’t have been possible without others who helped me get over these challenges.
Accomplishments that I'm proud of
Creating a bot was not something I could've imagined me doing a few months ago, but now I have fully learned one example of the end-to-end programming pipeline. Getting over the aforementioned challenges and not giving up throughout the process has not only given me more technical knowledge, but it has impacted me mentally as I am more confident in my coding ability after this project.
What I learned
I fully learned the end to end programming pipeline of sorts. In particular, I learned the ins and outs of the various APIs I worked with and understanding how to deploy/manage server-based applications like a messenger chatbot.
What's next for MoodMatch
A lot is in store for MoodMatch, ranging from automating the song updates as well as adding more factors that may influence someone's choice of song. I plan on having an autorefresh of sorts for the list of songs already scraped off the web right now so that users will continuously get different songs. Perhaps even employing an account scenario in which users are never recommended the same song on multiple occasions is also one thing I plan to work on. Lastly, a lot of factors go into one’s feelings and current emotions, which definitely cannot be grasped by the current 2 questions asked my MoodMatch. I plan on adding more of these questions and even an open-ended question of sorts, in which users can type in their response, and emotional analysis will be performed on their inputs. In fact, a few of these are already in the works so be on the lookout for upcoming updates ;) Feel free to checkout moodmatch.tech and watch our video to learn more about what’s coming soon!
Try it out
moodmatch.tech | MoodMatch | Just what you need | ['Viren Khandal'] | [] | [] | 43 |
10,402 | https://devpost.com/software/narad-pkvqd3 | , | . | . | ['Shivay Lamba', 'Pulkit Midha', 'rahul garg'] | [] | [] | 44 |
10,402 | https://devpost.com/software/dreamstream | Inspiration
Style transfer on images.
What it does
it takes a video and applies the same style to each frame thus resulting in Dreamlike animation.
How I built it
Tensorflow lite for deployability on mobile apps.
Challenges I ran into
decomposition of the video into frames and emerging requires high computing power and inefficient memory usage
Accomplishments that I'm proud of
the quality of the resulting video.
What I learned
how to deploy a TensorFlow model.
What's next for DreamStream
handling optimization problems computational and memorial consumption.
Built With
ffmpeg
python
tensorflow | DreamStream | Apply custom style to your videos | ['Oussama Ben Nasr'] | [] | ['ffmpeg', 'python', 'tensorflow'] | 45 |
10,402 | https://devpost.com/software/covi_fight | Inspiration
The virus has affected humanity in various ways, be it our economy, our freedom of movement, and the loss of loved ones. Then how do we live on, comfortably, and safely with this virus around?
Even after the lockdown is over, there is a massive possibility that traces of the virus will remain, and it can spread again.
We wanted to bring people back their mobility and keep them safe at the same time. We wanted people to know about their status while they leave their houses.
What it does
CoviFight alerts me about the risks of catching the virus if I have come in
contact with an infected person
within the past three weeks. It also informs the healthcare system accurately about the spread of infection.
CoviFight also generates a
map with hotspots for what places have virus traces
, so that people can prevent travelling at these places and authorities can sterilize or lockdown these places efficiently rather than having a complete lockdown of a country.
How we built it
We develop a three-tier app:
• A user's app
• A provider's app
• An official's portal.
While utilizing
Bluetooth and GPS
of your phone, CoviFight makes sure that the confidentiality of every individual is secured and can not be compromised. Data is encrypted using a secret key, and no one can view it without your permission. It only traces the past data of positively tested patients. This way, CoviFight also meets the
GDPR compliance.
By using
Geo-fencing and Machine Learning
, we predict your chances of catching the infection so that you can take preventive measures.
A provider's app for aggregation points like shops, restaurants, and public transport synchronizes with the nearby user app. This interface is the key to the detection of infection points, be it
a stationary workplace or a moving vehicle
. If McDonald's installed CoviFight and had an infected customer in the past 15 days, all the customers after the positive tested patient would get alerted, and hence the restaurant can be sterilized.
Only the medical system may update a person's status over the official's portal, and the
authenticity
of the app is maintained hence preventing
false positives
or self-reporting, which might lead to falsification of records.
So, with the help of our app, people can move around while being alerted about their status, stay away from the virus, and be free from the worry of their privacy maintenance at the same time.
Take a look at our demo by clicking
here
Challenges we ran into
To maintain the authenticity of the predictions and analysis, we were initially in a fix as to how to update a person's status as positive or negative. Then we decided to come up with a three-tier system, and we developed a Doc App or official's portal, which is only accessed by the medical system so that the authenticity is maintained.
No one else can manipulate the data.
Accomplishments that we're proud of
• We have made sure that the
privacy
of every individual is maintained and can not be compromised. The encryption algorithms meet the standards of the leading social networking apps existing in the market.
• CoviFight not only alerts people about their own risks but provides heatmaps of the traces of the virus too. CoviFight also shows what
specific restaurant or public transport( like a bus or a train) may be infected
precisely.
• We do not need to compare data between people, thus making
computation very cheap and exponentially faster and efficient.
Our Journey So Far
•
Winners( Runner up) in the #EUvsVirus, a Pan-European Hackathon
Organised by the European Innovation Council to counter COVID-19 pandemic with more than 9k participants and 2000 teams. We stood second in the Real time Communication and Prevention challenge.
•
Top 6 finalists of The Global Hack, by Garage48, April 2020
The Global Hack is a hackathon designed to share and rapidly develop ideas for urgently needed solutions in the face of the COVID-19 crisis, and to build resilience post-pandemic, with over 12k participants from 100+ countries. The team developed a mobile application solution for the containment and tracking of this virus. We were in the top 6 teams in the Crisis Response Track.
•
We were also in the Top 23 Student Innovators in COVID-19 SAMADHAN MHRD( Ministry of Human Resource Development, India) Mega Online Challenge
What we learned
It has been an enjoyable experience to work with people who have not even met each other before and still successfully develop this amazing app. We learned a lot through the hackathon, from interacting with the mentors and getting their guidance, to develop the app.
What's next for CoviFight
We plan
to get this deployed
at its earliest so that people may get their
safe mobility
back. We plan to deploy this on the Play Store and make a version for iOS as soon as we can.
We are also in touch with the Indian Government and we might be able to save lives in India also.
The necessities to continue the project:
• Approval from government authorities to implement and track data.
• Participation from Hospitals/government bodies to update the status of a patient so that system can generate realtime alerts and mark hotspots.
• Cloud resources to scale up the project. Currently limited by the free tier of cloud infrastructure.
The value of our solution after the crisis:
• This application can be used for any contagious disease management.
• It can be used in disaster management to understand the right victims and relief reaches all rightful beneficiaries( such as in the case of floods and storms).
• It can be used by Providers such as McDonald's and Public transport systems to implement targeted location-based marketing complying with data collection practices.
What we have done till now.
• Implemented masked identities for users to comply with GDPR and privacy requirements.
• Identification of hotspots in realtime based on the patient status update.
• Fixed bugs in the flow and to make it work E2E.
• Produced a product demo.
New Technology introduces
• Blockchain to manage user identification data(making it immutable), adding the security of ECC digital signature
• Moving from NoSQL mogoDB to a hybrid of BlockChain and GraphDB for better analysis and prediction while keeping the user's id secrete on the Graph
• Use of Kubernetes for creating multiple threads for gaining concurrency
•Adding caching mechanism to mobile devices to handle any kind of network failure.
Built With
firebase
google-directions
har
java
machine-learning
maps
python
Try it out
github.com
sidhantha.medium.com | CoviFight | A source - contact tracing app, CoviFight is a 3-tier solution that uses geo-fencing and machine learning to trace and track the COVID-19 spread | ['Shikhar Mathur', 'Anshuman Saboo', 'MANIT BASER', 'vishwas puri', 'Sidhantha Poddar', 'Yash Bhagat', 'Neil araujo', 'Navdeep Chawla'] | ['2nd Place Overall Winners', 'The Wolfram Award'] | ['firebase', 'google-directions', 'har', 'java', 'machine-learning', 'maps', 'python'] | 46 |
10,402 | https://devpost.com/software/quizmeet-a-better-online-learning-experience | QuizMeet: A Better Online Learning Experience
A fun new way to learn online
A great tool for teachers
A blast for students
Transform your online classroom today!
Inspiration
I have been a middle school science teacher for 8 years. The pandemic has created challenges for educators and students that we've never experienced before. From an educator's standpoint, we lose the personal and relationship-building aspect of our job that is essential for serving our youth. As a student, it's difficult to engage and interact with your teachers and peers. School is a place for our students to socialize, connect, and grow together. We want our project to streamline the online learning process and improve the virtual classroom experience for both teachers and students.
What it does
QuizMeet is a Chrome Extension that will enhance the virtual classroom experience on Google Meet. The extension allows teachers to create and post multiple-choice questions to all participants within the video meeting. Participants are able to interact directly within Google Meet's interface in real time to answer those questions. This extension will eliminate the need to share screens, open additional tabs, enter class codes, or use additional devices. As a teacher, you will still be able to see your students' video in Sidebar Layout view while seeing your students' responses immediately after each question. For students, this offers an engaging and interactive atmosphere that is often missing in an online setting. They can earn points based on accuracy and speed to climb up the leader board, which is updated after the answer is revealed. This form of competitive educational gaming is extremely popular in the classroom and QuizMeet makes it accessible even during distance learning. This gives them the opportunity for normalcy and social interactions under these extreme circumstances.
How I built it
The concept and design of the project is based on the popular education website Kahoot! The front end portion of QuizMeet is a Chrome extension built with VueJS. The backend is a python flask server behind an nginx reverse proxy, deployed on a GCP virtual machine. Quiz participants are linked together on a cross-origin websocket connection. Quiz questions are currently hard-coded in the backend. We took some ideas from the open source Chrome extension Nod to help scrape user data from Google Meet.
Challenges I ran into
We originally wanted to integrate with the online quiz platform Kahoot!, but Kahoot! doesn’t provide a public API.
Accomplishments that I'm proud of
Smoothly integrating with the Google Meet UI.
Setting up a cross-origin, secure websocket backend.
Asymmetric initialization for teachers and students.
What I learned
The websocket protocol
nginx configuration for SSL and websockets
Using VueJS as a chrome extension
What's next for QuizMeet: A Better Online Learning Experience
The extension is based on the extremely popular education website Kahoot!. Unfortunately their API is not available at this time. If Kahoot! makes their API available, then we can directly integrate it with QuizMeet.
Developing an interface for teachers to create the questions.
Supporting other browsers besides Chrome.
Making QuizMeet compatible with other video conferencing tools like Zoom.
Exploring potential for mobile devices.
Built With
figma
flask
javascript
python
sublime-text
vue.js
Try it out
srblum.github.io | QuizMeet: A Better Online Learning Experience | We allow teachers and students to directly interact within Google Meet’s interface to create a dynamic learning environment. | ['Mo Chen', 'Sean Blum', 'Lei Fu'] | [] | ['figma', 'flask', 'javascript', 'python', 'sublime-text', 'vue.js'] | 47 |
10,402 | https://devpost.com/software/heart-o-k | probability of heart disease in the individual.
patient entering the information to check for heart disease.
Information of the patient that is being entered.
When recommending medicines, the view will be something of this kind.
login page
sign up page
home page from where the patient can jump directly to report/check/logout.
What it does My project provides a simple ui where you can check for probability of heart disease and get recommendations for medicines and drugs correspondingly.
How I built it
I built a simple prediction model using best out ml algorithms available like glm, gbm,svr, etc. After that I prepared my own data of medicines by scraping data from medlife, etc and give recommendations using collaborative filtering.
Challenges I ran into
I face difficulty while building medicines data set. Also, results were not that accurate in the past, so i had to work a lot.
Accomplishments that I'm proud of
The website that i designed provides a very simple ui that anyone is able to operate. Results are promising.
What's next for HEART-O-K
I would like to extend this project for another diseases like thyroid, etc.
Built With
css
google-web-speech-api
html
javascript
parse
r
rshiny
server | HEART-O-K | Predicting heart disease in an individual and getting recommendations for medications and drugs. | ['Deepshi Sharma'] | [] | ['css', 'google-web-speech-api', 'html', 'javascript', 'parse', 'r', 'rshiny', 'server'] | 48 |
10,402 | https://devpost.com/software/c-care | When our app worked, Satisfied
Inspiration
During this current COVID 19 pandemic, I see health worker is curing the patients, doctors are innovating new medicine, the police is controlling the crowd movement and even bus drivers are helping people to get back to home. As a future engineer, I felt like my contribution is none, so I felt motivated to do my part and try to bring a positive change and to make sure my product can also be used in a future pandemic.
problem our project solves
Offices and workplaces are opening up and as the lockdown loosen we have to get back to work, but there is a massive possibility that infection can spread in our workplace as, When a person is infected he can be asymptomatic for up to 21 days and still be contagious, so the only way to contain the spread is by wearing a mask and maintaining hand hygiene. WHO and CDC report said that if everyone wears a mask and maintains hygiene then the number of cases can be reduced three folds. But HOW we will do that? , How can we make ever one habituated to the following safety precaution so the normalization can take place. So we have come up with a solution called C-CARE 1st ever preventive habit maker that will bring a positive change.
What our project does
Our app is 1st of its kind safety awareness system, which works on google geofencing API, in which it creates a geofence around the user home location and whenever the user leaves home, he will get a notification in the C-CARE app ( ' WEAR MASK ' ) and as the users return home he will get another notification ( ' WASH HANDS '), ensuring full safety of the user and their family. It is also loaded with additional features such as i.) HOTSPOT WARNING SYSTEM in which if the user enters into a COVID hotspot region he will be alerted to maintain 'SOCIAL DISTANCING' And it also has a statics board where the user can see how many times the user has visited each of these geofences. With repeated Notification, we will make people habituated of wear masks, washing hands, and social distancing which will make each and every one of us a COVID warrior, we are not only protecting ourselves but also protecting others, only with C-CARE.
Challenges we ran into
1,) we lack financial support as we have to make this app from scratch.
2.) the problem in collecting data regarding government-certified hotspot and also we have to do a lot of research regarding the spread pattern of COVID-19.
3.) Due to a lack of mentors, whenever the app stop working we had to figure out by ourself, how to correct the error.
4.) It took us too long to use it in real-time as during lockdown it was too hard to go outside in the quarantine but finally, after lockdown loosens a bit we tested it and it gave an excellent result.
5.) we didn't know much about geofencing before that so we have to learn it from scratch using youtube videos.
Accomplishments that we're proud of
WINNER at Global Hacks in the category of HEALTH AND MEDICINE.
WINNER at MacroHack As the best Android Application.
WINNER at MLH Hackcation in the category ( Our first Hackcation ).
TOP 5 in innovaTeen hacks.
TOP 10 in Restartindia.org and Hack the crisis Iceland.
What we learned
All team members of C-CARE were able to grow their area of competence by participating in the whole process of idea definition, market research, validation, prototyping, and presentation. Through different mentor sessions, we learned that problems could be approached by many means, but most importantly our mission should be clear.
What's next for C - CARE
COVID cases are increasing every day, and chances are low that we can create a vaccine immediately, apps like C-CARE will play a crucial role in lower the spread of infection till a proper vaccine is made.
Our app can also be used for seasonal diseases such as swine flu or bird flu or possible future pandemic such as Hantavirus, G4 Virus, bubonic flu, Monkeypox.
Built With
android-studio
geofence
google-maps
java
sqlite
Try it out
drive.google.com | C - CARE | C - CARE An app that makes every person a COVID warrior. | ['Anup Paikaray', 'Arnab Paikaray'] | ['Track Winner: Health and Medicine'] | ['android-studio', 'geofence', 'google-maps', 'java', 'sqlite'] | 49 |
10,402 | https://devpost.com/software/covid-safety-all-in-one-website | Home Page
Safety and tips page
Videos page
Inspiration
As a normal person I also searched about
COVID-19
when it was just in some countries, but couldn't find a proper website that gets me all the info about it. So, I decided to make one that has all the latest information about the current pandemic and precautions.
What it does
This website helps people to find the
screening tool, latest news and statistics of countries, preventive measures, some useful videos on masks and sanitization
. This will help people to be more clear about the prevention of
Coronavirus
and will help in clearing the doubts of people.
How I built it
I built this website by using
HTML-5, Javascript, Bootstrap and CSS
which is fully responsive for all platforms
(Windows, Android or MacOS)
so you won't ever miss anything!
I made sure that it should be as fast, smooth and as much informational as it can be.
Challenges I ran into
I faced some issues understanding how
Javascript
works, but somehow managed to make it work. Another challenge that i faced was with
Coronavirus Stats Tracker
, most of the trackers were making website slow if embedded but after digging deep, finally found a good website which works smoothly with the website.
Accomplishments that I'm proud of
Despite the technical challenges, lack of sleep, and occasional procastination, i am very proud to complete the functionality and the UI design of the website in 48 hours. It was challenging but fun at the same time to learn something new.
What I learned
This hackathon gave me an opportunity to get the experience of using web technologies and helped me gain confidence in my skills. It's always good to have new ideas that will help people and in such short time ideas turn out to be really good! It was a great experience which helped me boost my skills.
What's next for CovidSafety
In the near future, i want to expand the functionality of the website by adding an
inbuilt news section, a chatbot and a status updater based on their location
. Also, accounts functionality that will help people save their location and bookmark their
favorite videos
,
news articles
and also
chat with random strangers
all over the web!
Built With
bootstrap
css
html5
javascript
Try it out
covidsafety.yashgarg.co
github.com | CovidSafety - All in one website | A wesbite that will help people to get the latest information about the pandemic. | [] | [] | ['bootstrap', 'css', 'html5', 'javascript'] | 50 |
10,402 | https://devpost.com/software/covid-19-health-center-qogj8t | Doctor
Inspiration
I took inspiration to do this project from the growing crisis and how any help related to the current scenario can yield something better.
What it does
This is a GUI Application with which the user can check for symptoms with the help of a rule based chatbot, which will further give recommendations on evaluating their health. The user can also read all the latest worldwide news related to COVID-19. This digital health center also help the user to keep track of the statistics that is the total cases, total recoveries, total death, total active and critical cases of any country and allows the visually impaired to listen while the machine speaks the text. Furthermore the user can read or listen the precautions given by WHO to keep one safe.
How I built it
I built it using tkinter to give users an easy interaction. A text to speech library- pyttsx3 has been used to also help the visually impaired to some extend. There is a rule based chatbot that evaluates the health by asking certain questions. The data for evaluation has been adapted from DOH Guidelines. To keep track of the statistics I have used the "Coronavirus map" API. And the other data has been obtained from the WHO website.
Challenges I ran into
I ran into certain challenges while making the chatbot since pyttsx3 and tkinter were not syncing together so I decided to use multithreading to some extend. Other than this the designing and functioning needed a lot of thinking and efforts.
Accomplishments that I'm proud of
I'm really proud of the fact that I did something on the current crisis that might be beneficial for people and especially the fact that I did consider the visually impaired while building this. I am also proud of the fact that I used OOP completely to build this project.
What I learned
I have learnt various different libraries and I think I have grown a hands on experience in using most of them like Tkinter, BeautifulSoup and pyttsx3. Other than this I have grown a fair knowledge of information related to COVID-19.
What's next for COVID-19-Health-Center
I really plan on using machine learning and training the chatbot to answer smartly. There are still some thing that can be added to the GUI.
Built With
beautiful-soup
python
pyttsx3
tkinter
Try it out
github.com | COVID-19-Health-Center | This is a GUI application needed to keep track of almost everything related to coronavirus. This is made also to help the visually impaired, so that they can keep track with just one click. | ['maryamnadeem20 Nadeem'] | [] | ['beautiful-soup', 'python', 'pyttsx3', 'tkinter'] | 51 |
10,402 | https://devpost.com/software/ipdrop | Phone UI
uploading image
when client receives request to download file
IPdrop
Project submission
Video submission:
IPdrop presentation
The live application can be found here:
IPdrop
Introduction
When was the last time you had to transfer a file from a device to another device connected to the same network? Did you use Google Drive? Dropbox? AirDrop, then realize you're transfering the file from an iPhone to an Android? What about big files? Did you have to wait for transfers for both uploading and downloading?
Meet IPdrop. This web app will cut your uploading and downloading waits in half, by combining the upload download process altogether. It will also instantly show all the users connected to your network that is ready for file receiving, eliminating the requirement of sharing links and copy pasting.
Combining the upload download process
Node.js's pipe streams are usually for streaming the upload user's data stream to a file on the server using
request.pipe(fs.createWriteStream(filename))
or streaming from a file on the server to a download user using
fs.createReadStream(filename).pipe(response)
. Taking advantage of Node.js's pipe streams' versatility, it turns out that piping the upload user's
request
to the download user's
response
actually works! While the upload user is uploading, the download user can download at the same time, resulting in a process where the total transfer time is cut down by half:
Assume upload speed = download speed
Without piping directly, it takes two hours:
1. Upload user starts uploading. Takes one hour to upload
2. Download user has to wait for upload user to finish
3. After one hour, download user can start downloading
4. After one hour, transfer is complete
With piping directly, it takes one hour:
1. Upload user starts uploading. Takes one hour to upload
2. Download user starts downloading from upload user
3. After one hour, transfer is complete
A demo of this process can be found in the project root directory with a file called
concept.js
.
Running your own IPdrop
It's fairly simple:
If you do not want to use Heroku to deploy, run this app behind a reverse proxy like nginx that controls the
x-forwarded-for
header.
If you do use nginx, remember to disable buffering by setting
proxy_request_buffering off
and increase the max upload size by setting
client_max_body_size 100G
. Don't worry about setting the max upload size to a high number as the uploading should be streamed; therefore, memory won't increase.
Built With
css
express.js
html
javascript
websockets
Try it out
github.com
ipdrop-sc.herokuapp.com | IPdrop | Easily share files connected to the same IP | ['Simon Cheng'] | [] | ['css', 'express.js', 'html', 'javascript', 'websockets'] | 52 |
10,402 | https://devpost.com/software/virtuquiz | Thousands of videos, understand your lessons clearly.
Inspiration
There are so many students around the world who are weak at studies. Many children don't like the traditional learning or the e-learning method.
Although there are many learning apps, there are some features that I thought of that no other app has. Including all these features I wanted to create a learning app, and thus Virtuquiz, which is not limited to quizzes, was born....
What it does
Virtuquiz is a learning app which anyone can download on their mobile phone and start to learn. This app is recommended to students of grades 6-12, but other grades will be added sooner.
Virtuquiz has 2 main sections, one is learning and the other is quizzes.
Leaning Section
The learning section features 3 sub-categories which include videos, a homework checker and an extra knowledge bot.
Videos
There are thousands of videos under different topics which you can refer to. The video section consists videos from an online school 'Khan Academy.' Watching videos here is simple. Scroll down on the topic list, select the topic, then select a video and watch it. All videos are in English.
Homework Checker
This is a feature where anyone can submit there homework for a re-check before submitting it to a teacher. You can either send a picture or document. Then we will re-check it with automated systems as well as manual systems and send whether the work is correct or point out the mistakes and analyze them. We have clearly said that no one can use this feature for cheating.
Extra Knowledge Bot
This bot which is called as the Virtubot can be used for learning good qualities and learning about the society. This is also an essential part which education systems have missed out today. The Virtubut is still under development, it only has 3 questions yet. Using it is simple, the bot asks questions; for example how will you handle a situation where your friend is scolding you for what you didn't do.
There will be some options of what you can do. You will have to chose the wisest solution. You will be judged and given feedback (You are rude, or , very good you are generous).
Quizzes
After you have learned using the video feature you can check your knowledge using the quizzes. There are 20 quizzes with 10 questions each at the moment, more will be added too. Quizzes are under 5 main topics. (Science, History, Technology etc.)
Answering questions in quizzes is simple, all the questions are multiple choice questions, you just how to select the answer and press next. Finally after finishing all the 10 questions you will get a report on your performance. The pass mark for all quizzes is 70%.
How I built it
The Virtuquiz app was built using different app building platforms, the questions were built created by me with the help of online articles. The video feature was added in collaboration with Khan Academy Videos. The Virtubot was built using the virtual bot creator. The app was finally compiled using Android-Studio.
Challenges I ran into
There were many challenges.
The first was finding videos, I couldn't do all the videos myself. But finally I found a Khan academy feature which allows you to add the videos which belongs to them.
Another challenge was creating quizzes, I had to make 200 questions and add different answers. This was all done within 12 hours..
Also the Virtubot was difficult to create. I failed in creating the bot and integrating it successfully at the beginning, but later I was successful.
Accomplishments that I'm proud of
I am proud of adding a bot which is a unique feature and also a feature that plays a role in social-good.
Also I am proud of successfully creating this app.
What I learned
While building my app, I had to read many educational articles, I gained a lot of education through this. Also this was one of the most difficult apps I built, it really taught me a lot about programming etc.
What's next for Virtuquiz
I have to let people know about my app, although it's good and working many doesn't know that something like this exists. So, I need to promote.
Also I will have to develop this app more in the future.
Built With
android-studio
appsgeyser
appy-pie
gimp
Try it out
github.com
play.google.com | Virtuquiz | The Ultimate Learning App, quizzes, video lessons and even problem solving bots included... | ['Senuka Rathnayake'] | [] | ['android-studio', 'appsgeyser', 'appy-pie', 'gimp'] | 53 |
10,402 | 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'] | 54 |
10,402 | https://devpost.com/software/smart-tracker-covid-19-ewyhzx | Inspiration
Now a days whole world facing the novel Corona Virus, to track the spread of novel Corona Virus country-wise, details of confirmed cases, deaths and Recovered, awareness regarding COVID-19. This Android app was created to spread awareness about the covid -19 virus.
What it does
The Android app named as ‘SmartTracker-Covid-19’ created to spread awareness about the COVID -19 virus. App includes following functionalities:
CoronaEx Section - This section having following sub components: • News tab: Having latest new updates. Fake news seems to be spreading just as fast as the virus but as we have integrated from official sources so everyone will be aware from fake news. • World Statistic tab: Real-time Dashboard that tracks the recent cases of covid-19 across the world. • India Statistic tab: Coronavirus cases across different states in India with relevant death and recovered cases. • Prevention tab: Some Prevention to be carried out in order to defeat corona.
CoronaQuiz section - quiz that will help people know about the Corona virus and its effects on human body. It chooses random questions and show the correct answer for the questions and at the end user will get to know their highest score.
Helpline Section - As this application particularly made for Indian citizen to use, all state helpline number of India included.
Chatbot Section - A self-assisted bot made for the people navigate corona virus situation. Common Questions: Start screening,what is COVID-19? , What are the symptoms?
How I built it
We built with using Android studio. For the quiz section we have used sqlite database and live news data we have integrated from the News API. For the coronavirus statistic we have collected data from worldometer and coronameter.
Challenges I ran into
At time of integrating the chatbot in application.
Accomplishments that I'm proud of
Though , It was the first attempt to create chatbot.we have tried to up our level at some extent.
What's next for Smart-Tracker-COVID-19
For the better conversation we will be looking to work more on chatbot.
Built With
ai
android
dialogflow
newsapi
sqlite
Try it out
drive.google.com | Smart-Tracker-COVID-19 | Developed an android application to track COVID-19 current situation in all over world and stats, all state wise in India | ['Pramod Paratabadi'] | [] | ['ai', 'android', 'dialogflow', 'newsapi', 'sqlite'] | 55 |
10,402 | https://devpost.com/software/healthrific | Contact free basin modified design
Actual picture of Basin
Actual hardware pic
SignIn page
SignUp page
Forgot Password page
Kiosk Test
Self Assessment Test
Covid 19 Updates
Health Tips
Results of Self assessment test
UV-C
todo
Built With
bluetooth
dart
firebase
flutter
Try it out
github.com
docs.google.com
drive.google.com | no | na | ['Haripriya Baskaran', 'Mohammed Mohsin'] | ['Script Foundation: Best Healthcare Solution'] | ['bluetooth', 'dart', 'firebase', 'flutter'] | 56 |
10,402 | https://devpost.com/software/remote-elderly-home-care-via-privacy-preserving-surveillance-2lt9p1 | Privacy Preserving Face Detection at Home
Plug and Play AI Device Discovery
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. | ['Björn Kristensson Alfsson', 'Yana Vasileva', 'Ivelin Ivanov', 'Vidhushini Srinivasan'] | [] | ['javascript', 'pwa', 'python', 'raspberry-pi', 'tensorflow', 'webrtc'] | 57 |
10,402 | https://devpost.com/software/rebottle-25xcd0 | Our Solution
Volunteer UI Mock Ups
Patron UI Mock Ups
Inspiration
According to CalRecycle, about 24.5 billion California Refund Value (CRV) eligible containers were sold in 2018. Of those bottles, 18.5 billion were recycled. Leaving 6 billion of them in landfills, since nobody claimed CRV. Six billion bottles equate to over 100 million dollars that could have been exchanged for money with the CRV. With ailments such as COVID-19, our country could implement the extra revenue in beneficial ways. With the money raised from CRV, we can fund non-profits who intend on relieving communities and suffering families that are in pure devastation due to COVID-19. Plastic waste and COVID-19 are both prevalent problems that our world must conquer. From a survey we conducted, we found that 23 out of 50 people recycle bottles, and 41 out of 50 people did not know that their bottles could be exchanged for money.
What it does
reBottle is a free app that connects people interested in recycling bottles with volunteers seeking service hours and donates funds raised from recycling to COVID-19 relief efforts. reBottle works in three parts
1) Allows patrons (people interested in donating CRV eligible bottles) to donate their bottles on specific dates right from their doorstep
2) Provides volunteers a way to earn service hours by picking up these bottles and dropping them off in a reBottle bin at the nearest recycling center.
3) Raises funds for COVID-19 relief efforts by exchanging recyclable bottles for CA CRV.
How we built it
Our website was built in HTML5, CSS, and Javascript. We have used CreativeTim MaterialKit for the website UI and Canva for the app mock ups.
Here
is the link to our mock ups. We also experimented with Google Maps API which you can see in our Patron sign-up page.
Challenges we ran into
On the app design side, we started working on a way to make recycling easier and at scale. There were already many apps in the market that did this locally. We spent more time brainstorming what we could do differently. That's when the concept of volunteering, recycling and raising funds in one app emerged as an idea.
On the technical side, we had two challenges - 1) Using a UI toolkit like CreativeTim but still making it work the way we wanted and 2) Using Google Maps and Google distance API. This was our first time using these APIs. We got the Maps API to work but could not figure out how to use the distance API.
Accomplishments that we're proud of
We are proud of developing a web solution that provides an easier way for people to recycle, raise funds for a global cause and enable volunteers to earn service hours.We are proud of creating a website in little time that helps raise funds for COVID-19 alongside mock ups for our future mobile app. In less than 3 days we were able to research extensively on recycling plastic, conduct a survey to validate our solution, develop a website and mockups for our app.
What we learned
Our biggest learning was how to design a website/mobile app for different set of users, like in our case - volunteers and patrons. We learnt a lot about recycling plastic and realized even CA CRV provides cash refund, people are not fully aware of how to make use of it. Using Google Maps API was very interesting. Overall, we learnt how to split our work and get it done in a remote setup.
What's next for reBottle
We plan to build up on our idea further by expanding it to all states in the US. Currently, our idea to raise funds for COVID-19 but we want to help other global relief efforts as well. Within the new few weeks, we plan to complete our website, fully build our mobile app and connect with multiple non-profits.
Built With
canva
creativetim
css
google-maps
google-places
html
javascript
Try it out
github.com | reBottle | Recycle to save lives | ['Ad J', 'Risha Jain'] | ['Amazon Gift Cards'] | ['canva', 'creativetim', 'css', 'google-maps', 'google-places', 'html', 'javascript'] | 58 |
10,402 | 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'] | 59 |
10,402 | https://devpost.com/software/blogify-web3 | main page
direct subscription option
general information
posting an article
supporting content creater
Paywalled Blogging Site
Quality content usually resides behind paywalls, sometimes rightfully so as the creaters need a source of income. In today's internet, getting paid through running adds on blogs have an added security concern and sends away potential readers.
This solution presents a blogging platform, where users pay a one time minimum amount of 1 DAI to access the site forever.
The capital received isn't directly distributed among content creators, and is instead deposited to compound where it gains a consistent interest.
The profit from this fund is distributed proportionally among all content creators.
How does one become a creator? To maintain quality of posts, just posting an article is not enough. Users can support writers if they find their content engaging by using the Support Creator option.
Process
Deployed at
Rinkeby Testnet
.
Users are expected to deposite 1
DAI
when they subscribe to the blog.
If you don't have the time, just send some ETH to
dai.inotime.eth
and instantly recieve back some DAI! (0.01 ETH ~ 1 DAI)
It uses UNISWAP V2 for the exachange,
contract
deployed
here
if you want to take a look.
This is deposited at
Compound
to gain further interest.
Anyone can post articles, and readers can support writers through the platform. After a user gets a certain number of likes (currently 1), they advance to the position of content creator.
Profits each month are distributed proportionally among all Content Creators.
Built With
compound
javascript
react
solidity
Try it out
xenodochial-mirzakhani-49c177.netlify.app
github.com | Blog Compouned | One time paywalled blogging site where content creators earn using an interest generating fund. | ['Dhairya Sethi'] | [] | ['compound', 'javascript', 'react', 'solidity'] | 60 |
10,402 | https://devpost.com/software/covidnow | COVIDnow overview
COVIDnow is a lightweight, highly available COVID-19 monitoring / alert system.
Know it all at a glance
Elegantly presents the pandemic metrics in the terminal.
Reports real-time Worldwide COVID-19 data, including:
Countries
Confirmed cases
Deaths
Recovered cases
Installation
In terminal, type
npx @covidnow/covidnow
🎉Voilà! It's that easy! You can now glace the countries, confirmed cases, deaths and recovered cases around the world at ease.
Data sources
WHO Coronavirus Disease (COVID-19)
Baidu Real-Time Coronavirus Report
Centre for Health Protection
Roadmap
[ ] Alert notification on telegram
[ ] Support RSS on Breaking News 🚨
[ ] Add useful links
[ ] Add useful information, travel advices & health tips
[ ] Dashboard enhancement (Interactive fields)
[ ] More to come...🚂
Stay safe and stay home, wish you all good health.
Made with ❤️& care in Hong Kong
#StayHome
Built With
api
bash
bigdata
cli
cloud
cloudcomputing
elt
esri
fetch
fetchapp
github
javascript
json
node.js
npm
opendata
restfulapi
serverless
Try it out
github.com | COVIDnow | The easiest way to keep informed and stay aware during COVID19 coronavirus pandemics. | ['Jeremy Tsang', 'Chan W K Anthony'] | [] | ['api', 'bash', 'bigdata', 'cli', 'cloud', 'cloudcomputing', 'elt', 'esri', 'fetch', 'fetchapp', 'github', 'javascript', 'json', 'node.js', 'npm', 'opendata', 'restfulapi', 'serverless'] | 61 |
10,402 | https://devpost.com/software/rfid-for-contact-tracing | Inspiration - as an engineer, I always feel responsible on how to make everyone's lives convenient.
What it does - this project is to help the current situation to have a hassle free contact tracing of every individual who in and out in a place.
How I built it - it's a very simple project whereby we use rfid system to track.
Challenges I ran into
The development phase is hard but everything can be accomplish once you won't give up.
Accomplishments that I'm proud of - My rfid system projects that is currently use as ready to dispense shelves in the pharmacy.
What I learned - Do what you think that can help and don't give up till you manage to implement it.
What's next for RFID for contact tracing. Hoping for new and innovative projects
Built With
rfid | RFID for contact tracing | To develop an rfid system to all the entrance and exit across the country. As the current situation needs a reliable and convenient way of tracking every persons destination . | ['Christine Aguisando'] | [] | ['rfid'] | 62 |
10,402 | https://devpost.com/software/supermusicai | Main intro page
Inspiration
I listen to quite a bit of classical music and movie OSTs and wanted to write my own, unfortunately, I'm quite horrendous at comprehending sheet music, so I decided to try another route. I thought, what if we could generate music using a recurrent neural network. I then, using online resources and APIs as well as my own knowlrdge
What it does
It uses an LSTM based recurrent network to generate a sequential output of notes and chords that is converted to a piano music file. As of now the LSTM and the Unity rig are not connected as it is somewhat difficult to connect python and unity.
How I built it
I used the Keras API for the model architecture and most of the building is covered in the model walkthrough at the end of the submission. The Unity Game engine was also used for the user interface.
Challenges I ran into
Training the project was extremely painful and it actually took a full day of training to reach the somewhat discordant level produced. The Unity integration was cut short due to the fact that I had to go to school on the 10th. Linking the two was and is near impossible for a HTML integration
Accomplishments that I'm proud of
The fact that it actually works and produces music! Also the unity visualiser was quite well done for the short time I had. the music is quite decent and actually has flow and is not disjointed.
What I learned
Keras API, Music21 API, LSTM Theory, MIDI File theory, Unity lineRenderer
What's next for superMusicAi
I want to generate a dance music LSTM to actually work as a DJ for an EDM music event. I want to actually create a working UI and Prediction linked prototype, so that it can generate either classical or another form of music on the go. If possible I would like to try and match colours to the music generated in the UI in order to set a mood.
Built With
keras
python
unity
Try it out
github.com | SuperMusicAI! | Automatically Generating classical music using an LSTM | ['Vedaangh Rungta'] | [] | ['keras', 'python', 'unity'] | 63 |
10,402 | https://devpost.com/software/wecare-5l9dgi | Home Screen of app, which allows you to report your symptoms, check the status of your circle, and get daily personalized tips.
Map Screen of app, which allows you to see hotspots around you and your Care Circle.
Care Circle screen of app, which allows you to health conditions of your loved ones.
Web interface, which can be used to update the symptoms. It is synced with the app.
New logo.
Update with a key.
Hotspots for countries.
Options from the start.
Questions about your health.
Hot spots.
App design
As the outbreak of COVID-19 continues to spread throughout the entire world, more stringent containment measures from social distancing to city closure are being put into place, greatly stressing people we care about. To address the outbreak, there have been many ad hoc solutions for symptom tracking (e.g.,
UK app
), contact tracing (e.g.,
PPEP-PT
), and environmental risk dashboards (
covidmap
). However, these fragmented solutions may lead to false risk communication to citizens, while violating the privacy, adding extra layers of pressure to authorities and public health, and are not effective to follow the conditions of our cared ones. Unless being mandatory, we did not observe the large-scale adoption of these technologies by the crowd. Until now, there is no privacy-preserving platform in the world to 1) let us follow the health conditions of our cared ones, 2) use a statistically rigorous live hotspots mapping to visualize current potential risks around localities based on available and important factors (environment, contacts, and symptoms) so the community can stay safer while resuming their normal life, and 3) collect accurate information for policymakers to better plan their limited resources.
Such a unified solution would help many families who are not able to see each other due to self-quarantine and enable early detection and risk evaluation, which may save many lives, especially for vulnerable groups. These urgent needs would remain for many months given that the quarantine conditions may be in place for the upcoming months, as the outbreak is not reported to occur yet in Africa, the potential arrival of second and third waves, and COVID-19 potential reappearance next year at a smaller scale (like seasonal flu). There is still uncertain information about immunity after being infected and recovered from COVID-19. Therefore, it is of paramount importance to address them using an easy-to-use and privacy-preserving solution that helps individuals, governments, and public health authorities.
WeCare Solution
WeCare is a cross-platform app that enables you to track the health status of your loved ones. Individuals can add their family members and friends to a Care Circle and track their health status and get personalized daily updates on best prevention practices. In particular, individuals can opt-in to fill a simple questionnaire, supervised by our epidemiologist team member, about their symptoms, comorbidities, and demographic information. The app then tracks their location and informs them of potential hotspots for them and for vulnerable populations over a live map, built using opt-in reports of individuals. Moreover, symptoms of individuals will be tracked frequently to enable sending a notification to the Care Circle and health authorities once the conditions get more severe. We have also designed a citizen point, where individuals get badges based on their contributions to solving pandemic by daily checkup, staying healthy, avoiding highly risky zones, protecting vulnerable groups, and sharing their anonymous data.
WeCare includes a contact tracing module that follows the guidelines of Decentralized Pan-European Privacy-Preserving Proximity Tracing
(PEPP-PT)
. It is an international collaboration of top European universities and research institutes to ensure the safety and privacy of individuals.
What we have done during the weekend
Have been in contact with other channels in Brazil and Chile.
We have updated the pitch (extended), app-design and backend connection of the app this week. New contacts with Chile and Singapore. We have also made some translation work with the app. Shared more on social media about the project and also connected to more people on slack and LinkedIn. We have also modified the concept of Care Circle and how to add/remove individuals. Now, the app is very easy-to-use with minimal input (less than a minute per day) from the user. We are proud of the achievements of our team, given the very limited time and all the challenges.
Challenges we ran into
The Hackathon brought together plenty of people of different expertise and skills. There were challenges that we faced that were very unique, as we faced a variety of communication platforms on top of open-source development tools.
Online Slack workspaces and Zoom meetings and webinars presented challenges in forms of inactive team members, cross-communications, and information bombardment in several separate threads and channels in Slack and online meetings of strangers that are coordinated across different time zones. In developing the website and app for user input data, our next challenge was in preserving the privacy of user information.
In the development of a live hotspot map, our biggest challenge here was to ensure we do not misrepresent risk and prediction into our live mapping models.
Also for the testing of the iOS version, we ran to the new restriction of App Store for COVID-related apps, which should be backed up by some health authorities or governmental entities.
The solution’s impact on the crisis
We believe that WeCare would help many families who can see each other due to self-quarantine and enable early detection and risk evaluation, which may save many lives, especially for vulnerable groups. The ability to check up on their Care Circle and the hotspots around them substantially reduces the stress level and enables a much more effective and safer re-opening of the communities. Also, individuals can have a better understanding of the COVID-19 situation in their local neighbourhood, which is of paramount importance but not available today.
The live hotspot map enables many people of at-risk groups to have their daily walk and exercise, which are essential to improve their immunity system, yet sadly almost impossible today in many countries.
The concept of Care Circle motivates many people to invite a few others to monitor their symptoms on a daily basis (incentivized also through badges and notifications) and take more effective prevention practices.
Thereby, WeCare enables everyone to make important contributions toward addressing the crisis.
Moreover, data sharing would enable a better visual mapping model for public assessment, but also better data collection for the public health authorities and policymakers to make more informed decisions.
The necessities to continue the project
We plan to continue the project and fully develop the app. However, to realize the vision of WeCare we need the followings:
Public support: a partnership with authorities and potentially being a part of government services to be able to deploy it on AppStore. It also makes WeCare more legitimate. This would increase the level of reporting and therefore having a better overview and control of the crisis.
Social acceptance: though being confirmed using a small customer survey, we need more people to use the WeCare app and share their data, to build a better live risk map. We would also appreciate more fine-grained data from the health authorities, including the number of infected cases in small city zones and municipalities.
Resources: So far, we are voluntarily (and happily) paying for the costs of the servers. Given that all the services of the app and website would be free, we may need some support to run the services in the long-run.
The value of your solution(s) after the crisis
The quarantine conditions and strict isolation policies may still be in place for upcoming months and year, as the outbreak is not reported to occur yet in Africa, the potential arrival of second and third waves, and possible COVID-19 reappearance next year at a smaller scale (like seasonal flu).
Therefore, we believe that WeCare is a sustainable solution and remains very valuable after the current COVID-19 crisis.
The URL to the prototype
We believe in open science and open-source developments. You can find all the codes and documentation (so far) at our
Website
.
Github repo
.
Pitch:
https://youtu.be/7fMrVqxoPKY
Pitch extended version:
https://youtu.be/Vo0gs3WlptU
Other channels.
https://www.facebook.com/wecareteamsweden
https://www.instagram.com/wecare_team
https://www.linkedin.com/company/42699280
https://youtu.be/_4wAGCkwInw
(new app demo 2020-05)
Interview:
https://www.ingenjoren.se/2020/04/29/de-jobbar-pa-fritiden-med-en-svensk-smittspridnings-app
Built With
node.js
python
react
vue.js
Try it out
www.covidmap.se
github.com | WeCare | WeCare is a privacy-preserving app & page that keeps you & your family safer. You can track the health status of your cared ones & use a live hotspot map to start your normal life while staying safer. | ['Alex Zinenko', 'Sina Molavipour', 'Ania Johansson', 'Hossein S. Ghadikolaei', 'Christian M', 'Seunghoon HAN', 'Tomasz Przybyłek', 'Mohamed Hany', 'Alireza Mehrsina'] | ['1st Place Overall Winners', '2nd Place'] | ['node.js', 'python', 'react', 'vue.js'] | 64 |
10,402 | https://devpost.com/software/diy-social-distance-tag | DIY Social Distance Tag
schematic
final product
Inspiration
In Malaysia, we are under recovery Movement Constraint Order phase and social distancing compliance is very important at very least 1 meter
What it does
Detect distance below 1 meter at front of you and it will produce beep sound indicate how near are you from the people at the front
How I built it
Tools that I used are:
Hardware
Maker Nano (Arduino Nano compatible built-in LEDs and Buzzer)
Ultrasonic Sensor HC-SR04P
Perfboard 7cm x 9cm
Male Pin Header
Female Pin Header
Soldering Tools
9V battery holder
Wires
Software
Arduino IDE
Challenges I ran into
The challenge I ran into is how to design the layout to make it
compact size
and make
customised
pin header for position the ultrasonic sensor. Another challenges I into is to choose the right microcontroller to make the tag look compact.
What I learned
Design layout or the important of position layout of the board to make it compact and choosing the suitable microcontroller for this project
What's next for DIY Social Distance Tag
Design enclosure with 3D printer, make and option for user used power bank to power on the tag or use 9V battery, and optimised the code itself
Built With
arduino
c++
maker-nano
ultrasonic-sensor
Try it out
github.com | DIY Social Distance Tag | A Tag to distance yourself | ['Amir Hamzah'] | [] | ['arduino', 'c++', 'maker-nano', 'ultrasonic-sensor'] | 65 |
10,402 | https://devpost.com/software/compostly | Identifying Properties Of Leaf
Identifying Properties Of Paper
Identifying Properties Of Dairy
Inspiration
One day I was doing some research and then I came across composting. The idea of using old food and other ideas intrigued me, and then next thing I knew a composter was on its way. Once it came I had no idea where to begin. There was no guide or on information on how to start. After that I started learning about composting and started doing it. I found that when people want to start they should not have to do research every time they want to compost something. That was when I came up with the idea Compostly, an app that uses machine learning to give you the best items to compost.
What it does
Compostly uses Apples CreateML machine learning software, to give suggestions on what to compost, and what not to compost bases on your items. All you have to do is scan the item with your phone and then it gives you instructions on if you should compost it or if you should not.
How I built it
I built this using CreateML, Apples machine learning software. Using pictures I manually collected, I created a dataset which I used to make my machine learning model. After that I programmed and designed the app using swift, then I imported my model into the app.
Challenges I ran into
I ran into a lot of problems, but I was luckily able to fix them in time. Some of these problems included my machine learning model not importing. I had to debug this by changing the app version. Figuring out these problems took me some time.
What I learned
I learned a lot about machine learning in total. There was not much information on the internet on how to implement this into an app, so I had to learn it from scratch. I also learned about the programming language swift, as I had never done anything related to machine learning with it.
What's next for Compostly
I want to add more functions to it so users can have an even better time. I am also looking to help add more data to the machine learning model so I can get even better results.
Built With
ai
coreml
createml
machine-learning
swift
xcode
Try it out
github.com | Compostly AI | Incorporating Machine Learning, CreateML, and Swift, Compostly gives you the best recommendations to help you save the world by composting. | ['Navadeep Budda'] | [] | ['ai', 'coreml', 'createml', 'machine-learning', 'swift', 'xcode'] | 66 |
10,402 | https://devpost.com/software/listicle-mv7k6x | Listicle
Hello Judges!
I am Aditya Gupta, an incoming Freshman at Fremd High School. I have recently taken an interest in coding and am a avid learner. I currently code in HTML, CSS, and JS. This is my first Hackathon!
Bio:
I love playing tennis in the summer. I currently play chess and I am rated 2000+, the equivalent of a chess expert. I am also an Illinois Warren Junior Scholar.
I have been the Illinois Math League Champion twice and I received a Gold Medal in the 2018 MathCon. I have reached state level twice in the Mathcounts Competition and I was a qualifier for the AIME in 8th grade.
I also have a math blog, ThePuzzlr.com. Be sure to check it out if you would like to learn more about me.
Categories: Best Overall, Most Practical/Scalable, Best Impact, and Best Design.
Link To Video:
https://drive.google.com/file/d/1916DMLOAbWdrOxzVieH10Y5B8MmV_m73/view?usp=sharing
Project Intro:
Have you ever had that moment when you forget that one thing that you needed to buy from the store? Or when you forgot to join a pre-scheduled Zoom meeting? Well, Listicle is an application that works to make sure moments like the above don't happen.
With a simple user interface, users can add any items that they would like to remember by typing it and then pressing the "Add" button. To mark something complete, just double click it. Additionally, once you have completed your tasks for the day, you can press the "Clear Completed" button to erase the tasks you have completed so you can focus on what remains. To make it easier, I have also added an "Empty List" Button that clears the whole list. Now comes, in my opinion, the most important feature, the save button. You can close the tab, reload, or anything else, and as long as you have pressed the save button, your list will still be there when you come back! Additionally, we have added a timer feature that can be used to set a goal for you to complete your tasks by. Once your time is over, there will be a pop-up alerting you to finish your tasks if you have not.
Future modifications:
We will be adding a feature that lets you set a specific time for each task(separately) and make the UI cleaner.
Built With
css
html
javascript
Try it out
github.com | Listicle | Listicle Remembers, You Can Forget | ['Aditya Gupta'] | [] | ['css', 'html', 'javascript'] | 67 |
10,402 | https://devpost.com/software/covid-stats-fn1m65 | Inspiration
Right from this global pandemic hit I wanted to some effort from my side for a better tomorrow. So I have been reading blog posts and articles describing the spread and a few challenges where we can participate in making it better with the technology. But one thing common about all the posts is that for live stats it always redirect to other pages. I even conversed with a few business analysts who are writing reports and they find it difficult to embed the statistics and graphs right on-page they write.
Also, this can be a friendly reminder to all the members who are reading the confluence page to be
Stay Safe, Stay Calm, Stay Informed
What it does
The application fetches the live data from the COVID-19 API of all the countries around the world and also fetches the live graph from another API and displays it on the page.
In simple terms, it displays a graph and also stats of the top 10 most affected countries.
How I built it
I built it with
forge
, the forge is an amazing library that helped a lot in building the tool. The documentation is really robust and
@forge/api
library helped to fetch those stats.
const fetchCovidStats = async () => {
const res = await (
await fetch("https://coronavirus-19-api.herokuapp.com/countries")
).json();
return res.slice(0, 10);
};
The above snippet is used to fetch the statistics.
Challenges I ran into
Initially, I had some hard time trying to add react and failing it miserable. Then I got to know it uses Node packages. Then I saw
@forge/ui
documentation and shifted to try that library and it felt amazing.
I also found it hard to find accurate data to display, one misleading value can really create great havoc in the reader's mind. Once I found the API things went smoothly.
Accomplishments that I'm proud of
The final output was one thing I am definitely proud of, I have shown it to a few confluence page writers and document reader. They were really happy seeing the app.
I always get immense satisfaction when anyone uses the application I develop.
What I learned
I have learnt how to use
@forge/ui
and
@forge/api
. Learnt about
forge tunnel
and some new things.
What's next for Covid Stats
Next for Covid Stats will be adding a map where user can select a country on the map and then reveal it's statistics. Also, pre-rendering the
svg
of the graph for the top 10 countries.
Built With
api
await
forge
javascript
Try it out
github.com | Covid Stats | Coronavirus is creating a global pandemic and we all must be aware of the stats so that we can plan and act accordingly to be safe, calm and informed. Embedding these stats can help analysts alot. | ['Rohith Gilla'] | [] | ['api', 'await', 'forge', 'javascript'] | 68 |
10,402 | https://devpost.com/software/rationghar | Homepage
Registration Form
Submitted Requests View for people
Login Page
NGO Sign Up form
NGO Dashboard
Change Password Form for a NGO account
All Submitted Requests View for NGO's
Inspiration
Pakistan one of the most deadly affected countries with COVID'19, having almost have of it's a population living under the poverty line. However, Pakistan is one of the most philanthropist nation as well, in which the Development sector is working with Non-Government Organizations to uplift the poor.
In addition, the Ration distribution usually works in way where NGO's go to a public place and ask the people to gather in large groups to receive their ration bags. Given the COVID'19 situation, everyone is
strictly advised not gather in public and in large groups to limit the spread of the virus
, so we tend to tackle this problem. We are aiming to let the people stay at home, prevent attending large gatherings, and at the same time
receive their ration packages at their doorsteps
. This way
quarantined and disable
people can easily register for ration bags and get save themselves from a potential virus infection.
Like all the world, Pakistan is also in Lock down but here already malnutrition people are not even getting basic food items. In addition, to this, there are many people who are underprivileged and have physical disabilities, which restrain them from working and earning for themselves.
What it does
RationGhar is a platform which is linking Non-Government organizations to underprivileged people and people with physical disabilities. It allows people to ask NGO's for ration with the comfort of their home. The people do not necessarily need to own a laptop, all they need is a mobile device with internet connection, to make a submission. A person can, then, fill in a form and make request for NGO to review. The NGOs' can view the submission and assign it to themselves. Once assigned, the form will be available in the Assigned List of the NGO. From this list, the NGO can change the status of the form between "In Progress" and "Fulfilled". People can track their form by tracing their CNIC.
How we built it
We built it using React, Firebase, Material-UI, CSS, HTML.
We also deployed the app on
heroku
.
deployed app link
Challenges we ran into
We learned Firebase from scratch and implemented an idea that initially seemed difficult.
In addition to this, we faced internet connectivity issues at some points, which made the collaborative work a bit difficult. However, we tried to come up against all the odds to complete the project.
Accomplishments that we're proud of
We are proud that RationGhar will someday serve the community for both the people in Pakistan and other countries too.
What we learned
We learned a lot of new skills. Some of these include time management, collaborative working and competitive website development. In addition to this, we learned how to come up with a fully functional web app in just 36 hours.
What's next for RationGhar
We will try to launch it in our local community and try to expand it in the country. In addition to this, we intend to make it more feasible for all types of people and improve the UI even further. We are also planning to make this platform, more user friendly and add another feature of
NGO Portfolio
. This additional feature will help the NGO's to showcase their work and dedication to potential sponsors, who can in return provide the deserving NGO's with funds to extend their community service tasks.
Built With
css
firebase
heroku
html5
javascript
material-ui
react
Try it out
github.com
ration-ghar.herokuapp.com | RationGhar | RationGhar is a ration distribution platform to connect NGO's and community service organizations with underprivileged and people with any sort of physical disability in the time of COVID'19. | ['Farrukh Rasool', 'Hamza Farooq'] | [] | ['css', 'firebase', 'heroku', 'html5', 'javascript', 'material-ui', 'react'] | 69 |
10,402 | https://devpost.com/software/smart-detection-with-autonomous-uav | Crack detection done through webcam using TensorFlow
Number detection on image done using TensorFlow
Inspiration
We were given this task as our final year project and would like to share our project in this competition.
What it does
We modified a drone called Blacklion-068 from the Aerolion Technologies to perform monitoring & inspection functions. By implementing various functions of autonomous flight using lidar and range sensor, smart detection using software implementation, and intelligent payload dispensing.
How we built it
For Smart detection, we used TensorFlow and OpenCV to train data and code to achieve crack, color, shape, and number detections.
We used ROS to achieve Autonomous flight by programming the waypoints and coordinates into the Operating system. In this case Ubuntu.
Challenges we ran into
We faced issues like being given a weak router, which gave us problems in giving commands from our laptop to the drone. We solved it by changing the router to a newer one, which required us to change the codes in the drone and commands to allow everything to run.
Accomplishments that we're proud of
Our drone is able to successfully fly autonomously.
Our detections are able to detect accurately.
Cracks. Colors. Numbers.
What we learned
Learned how to work with AI, work with robotics, programming in python.
What's next for Smart detection with autonomous UAV
We are hoping this project can be taken outdoors to do crack detection on the outside and also be able to scan the whole building with just information about the building's height, width, and breadth.
Built With
ardu
opencv
pyt
teamviewer
tensorflow
ubuntu
windows-10 | Smart detection with autonomous drone | Smart detection and autonomous flying done on drone to help a safer and a more efficient way of doing building inspection using technologies. | ['Ryan Tze Hao Chong', 'Samyuktha Gurusamy'] | [] | ['ardu', 'opencv', 'pyt', 'teamviewer', 'tensorflow', 'ubuntu', 'windows-10'] | 70 |
10,402 | https://devpost.com/software/towards-need | Message Notification
Inspiration
We hear everyday how health care workers are risking their lives to save patients effected with Covid-19,
inspired by the selfless dedication of the front-line healthcare workers who are fighting this battle on behalf of the rest of us.
What it does
Towards Need is a web-based platform that connects healthcare workers who need PPE and any other goods and services with members of the community willing to donate directly to them. The site is very simple for both sides and contains signIn/Register,listing, search,filtering,posting a requirement , Notifications and messaging functionality.
How I built it
Frontend: Angular 9,Angular Material
Backend: Firebase, Google Places API, Google Geo Coding API, Google Maps API
Used FormSpree for messaging functionality.
Challenges I ran into
Getting feedback from healthcare providers and community members in order to design the Product in a manner that is easy to use and deliver the most .
Accomplishments that I'm proud of
I was able to do a short survey and understand the requirements and build a prototype that can make a huge impact .
What I learned
Health care workers are facing challenges every day with the facilities provided to them , In research i also found that donations are not directly getting to them its very complicated .Its needed to support the front line workers at large scale from community members.
What's next for Towards Need
Some future ideas we have are as follows:
1.Scaling: As app gets ready for the production as number of hits gets increase to site that can be handled by caching db queries and putting a load balancer using ELB on AWS.
2.Features:As web app moves to more enterprise level architecture ,features like collecting health care worker medical center location and filtering data to show on map limited to a nearby area using Google Distance matrix API and sending notifications whenever there is donor have posted in nearby area and vice-versa and having a social sharing feature can even more help the health care workers .
Built With
angular9
angularmaterial
bootstrap
firebase
google-geocoding
google-maps
google-places
Try it out
github.com | Towards Need | A Platform to Connect Front-line Health Care Workers With Community Members to help Health Care Workers to donate them critically Needed PPE during Covid-19 Crisis | ['vijaylakshmi karwa'] | [] | ['angular9', 'angularmaterial', 'bootstrap', 'firebase', 'google-geocoding', 'google-maps', 'google-places'] | 71 |
10,402 | https://devpost.com/software/virtual-world-1k0jip | Home and Details Screen Image
Inspiration
During this pandemic life has not been the same as it used to be earlier. Everyone might have been tired of the lockdown and definitely looking forward to experiencing the scenery and ambience of all their favourite places. However we wanted to be a responsible citizen and follow the social distancing norms, but how could we rejoice in nature? Well we have a solution for it.
What it does
With this app Virtual World one can experience the ambience virtually and get all the info on their smartphone without having to travel physically. Get to know the place better and prior. This is a great experience everyone definitely wanted to explore. All the missing birds sounds, nature mode can be experienced through this app. Are you ready to explore the virtual world, then do check out this app! Virtual World.
How I built it
The technology Virtual World app is build using Flutter. We tried to keep the app simple. We used audio player to create the background and flutter_swiper to show off the scrolling effect of images.
Challenges I ran into
There were quite a few challenges I faced while designing the UX of this app. And majorly the app is data driven, collecting all the datas for rendering was quite challenging. However it was fun participating in this hack.
Accomplishments that I'm proud of
I am happy to have inspired to find a way to create an ambience and virtuality of places we missed travelling these days. With this app anyone who misses the fun of being around with friends or their favourite destinations they could experience the same with the virtual mode.
What I learned
Definitely it was a great experience developing the working app from scratch. I was able to explore few of the libraries flutter do provide and made a crisp app with great UI.
What's next for Virtual World
We definitely don't stop here and have thought of creating bunch of features like adding live tour videos, panorama photo viewer, interact lively with your friends and plant the destination. definitely we have a lot of things in store.
Built With
flutter
Try it out
github.com | Virtual World | Virtual World is a new way of experiencing the tour of places virtually. | ['Pavan Kumar'] | [] | ['flutter'] | 72 |
10,403 | https://devpost.com/software/summerjams | Inspiration
Did the Covid-19 pandemic affect your travel plans? Do you miss relaxing on the beach or travelling to a new city? At Summer Jams, you can now bring your travel plans home by listening to music that provides a simulated experience of your favourite travel destination. We created Summer Jams to provide the user with a relaxing getaway during the lockdown.
What it does
Summer Jams brings your pictures to life by audifying them. On uploading a picture, a request is sent to the Google’s Vision API, which detects objects in the image such as birds. These labels are then used with a dataset containing sounds of the corresponding labels. Finally, an audio file is generated accompanying relaxing music and sounds of elements present in the picture. The users can also choose between three different music themes – Acoustic, Piano and Electronic, to adapt the music generated to their tastes.
How we built it
To create the front-end and back-end, we used the Flask micro-framework and web technologies such as HTML, CSS and JS. The website relies on using the Google’s Vision API to find labels in the image. We also used PyDub, a python music library to create the audio files. Finally, we made use of Google Cloud Storage and Google App Engine to deploy the website.
Challenges we ran into
Initially, we struggled with finding pre-existing projects for inspiration that visualise images into its musical elements. Since we didn’t find any, we had to research APIs that would meet the requirements of our application. This often involved reading lots of documentation and testing code, before using them in our project. We also spent a lot of time creating a dataset of sounds and labels, as many pre-existing ones were too large or didn’t meet our requirements.
Accomplishments that we're proud of
Despite the technical challenges, lack of sleep, and occasional procastination, we are very proud to have completed the functionality and the UI design of the website in 48 hours.
What we learned
This hackathon gave us an opportunity to get the experience of using a variety of web technologies and helped us gain confidence in our skills. We learnt how to set up and use the Flask framework from scratch. We also learnt that collaborative problem solving is a very efficient and productive way to come up with solutions. By utilising our strengths, interests and talents we were successfully able to organise the work between the two of us. This greatly improved our progress and helped us become better at time management. Finally, we also learned that taking breaks is important and can help you get a fresh perspective on a problem :)
What's next for Summer Jams Online
In the future, we want to expand the functionality of the website by allowing users to create an account and save their generated music files to playlists.
We also hope to create a more extensive dataset of sounds so we can generate a wider variety of music.
Built With
css
flask
google-app-engine
html5
javascript
pydub
vision-api | Summer Jams Online | Didn’t think you can hear a picture? Well, now you can! | ['Ayesha Akhtar', 'Manya Girdhar'] | ['First Overall'] | ['css', 'flask', 'google-app-engine', 'html5', 'javascript', 'pydub', 'vision-api'] | 0 |
10,403 | https://devpost.com/software/tiktok-kawaii-fitness-app | Inspiration
I've been super unmotivated and sick of doing at home workouts lately.
I find a lot of really cool workouts on TikTok when I'm scrolling in bed and I always "save them for later" but never find the time to actually do them. I wanted to create something that would compile my saved fitness-related TikToks and make me want to actually do them.
What it does
Extracts workout related content from a user's saved TikToks and places them in three super cute tumblr style levels that motivate you along the way.
How I built it
I created my web app using Flask and used bootstrap as well as a lot of cute gifs for the level designs. To extract the fitness TikToks I used a combination of:
David Teather's TikTok Api on Github : extracts a user's liked TikToks and returns info such as associated hashtags (then I compared to a typical fitness hashtag list)
TikTok for Developpers' embedded video Api: formats the video for html
I then deployed my application using heroku.
Challenges I ran into
Unfortunately the tiktok api only works for public accounts that also have their likes public. These are actually pretty rare so it would be great to have an api that allows logged-in user's likes to be accessed. Secondly I had to give up on an idea that I had to offer the option of using trending fitness tiktoks (if you dont have a public account for example). This worked pretty well but resulted in suuuper long loading times.
Accomplishments that I'm proud of
I don't usually mess around much with front end design so this was quite a challenging one! I realize that I literally made a tumblr blog from 2010 but I kinda love that aesthetic ^^ I'm also happy with how nicely the two tiktok apis complimented each other in the end.
What's next for TikTok Fitness App
Alongside making it accessible for private accounts, I would love to implement a database with a rating system for each hashtag. This way I can ask users to rate each TikTok on its quality and improve suggested workouts for all users.
DEMO USERNAME TO TEST OUT THE APP : ambrayhacks
Built With
css
flask
heroku
html
python
tiktok-api
Try it out
peaceful-canyonlands-08577.herokuapp.com
github.com
www.tiktok.com | TikTok Fitness App | A gamified compilation of those TikTok workouts you were "saving for later" | ['ambreine31 Bourdier'] | ['Second Overall'] | ['css', 'flask', 'heroku', 'html', 'python', 'tiktok-api'] | 1 |
10,403 | https://devpost.com/software/boardsafe | Boarding status
Book your seat
Choose your mode of transport
Choose your mode of transport
Inspiration
Mass transportation operators have been struggling immensely due to necessary social distancing measures. Many airlines have been struggling to steer away from bankruptcy. In order to cope, some companies have chosen to increase their fares.
This could be minimized by optimizing social distancing in order to safely increase occupancy.
What it does
Uses a modified version of
Steffen’s method
for boarding airplanes
Takes into consideration keeping families together, boarding groups/priority and disabled passengers
Maintains physical distancing between passengers algorithmically
Staggered boarding/deplaning process for optimal efficiency as well as physical distancing
How we built it
Experimenting with different libraries
Choosing React.js and regretting it
Hard work
Coffee
No sleep
Challenges we ran into
Animating the boarding status.
Assigning coordinates to each seat
Developing the algorithm was harder than we thought
Accomplishments that we're proud of
The algorithm works
What we learned
The current airplane boarding time can be reduced by half!
What's next for BoardSafe
Optimize social distancing in other forms of mass transport
Add a face mask detector at the door
Generate QR codes for passengers to use as boarding pass
Built With
adobe-illustrator
animejs
python
react
Try it out
github.com | BoardSafe | Optimized social distancing for mass transport | ['Ebtesam Haque', 'Muntaser Syed'] | ['Third Overall'] | ['adobe-illustrator', 'animejs', 'python', 'react'] | 2 |
10,403 | https://devpost.com/software/trip-oracle | Inspiration
Last summer, my parents were planning a vacation, and they let me be very involved with the planning. Though I had a laundry list of places I wanted to go, I had trouble finding things to actually do when we were there. When I chose a place, I also didn't consider how safe the place was, since I was so focused on merely going to places.
What it does
Trip Oracle is an all-in-one trip information provider that allows you to assess the safety of the area you are going to. Trip Oracle provides you with vital safety information that could be the deciding factor in whether you go or not. For example, if you plan to take a trip to London, Trip Oracle warns you against the many pickpockets there by scaling the Likelihood of theft very high, which indicates to users that going to London will warrant some protective measures. The place of interest viewer is a perfect tool for you to use when looking for things to do once arrived at your vacation destination. The POI viewer queries your locational data and returns many locations of different categories, ranging from food and restaurants to nightlife and views.
How I built it
The Frontend was built entirely out of Flutter due to its simple UI and the ability to create Multiplatform apps with a single codebase. Flutter was also ideal due to its simple implementation of the Google Maps API. The backend was built with Google Cloud Platform. We used server-less functions that are called by the frontend through http post requests, giving input of your locational data, and returning the corresponding information, whether it be safety scores or the nearby points of interest.
Challenges I ran into
We ran into a lot of trouble integrating the backend and the frontend into a cohesive solution. We fixed this by first debugging using a ngrok tunnel, and then we fixed the functions and the request communication. We also had a bit of trouble integrating the google-maps-api into the Flutter frontend, however the problem identified: we hadn't specified the appropriate user permissions in the Info.plist file.
Accomplishments that I'm proud of
We are proud to announce that our app is fully functional, and can query data from any given user location. This was our first time using many of the flutter plugins used for UI and UX. We also learned a lot about querying data and retrieving information through google cloud server-less functions.
What I learned
We learned the functionalities of many of the new flutter plugins used in this app. We also learned a lot about how communication between GCP and flutter work, as well as how to debug seamlessly through ngrok tunnels.
What's next for Trip Oracle
We hope to publish our app onto the App Store so users all around the world can use our app to find vital information about their vacations.
Built With
flutter
google-cloud
google-maps
python
Try it out
github.com | Trip Oracle | Stay informed of your travel destinations! | ['James Han', 'Muntaser Syed'] | ['Most Relaxing Hack', 'Best use of Google Cloud'] | ['flutter', 'google-cloud', 'google-maps', 'python'] | 3 |
10,403 | https://devpost.com/software/c-care-f4zd7j | Inspiration
During this current COVID 19 pandemic, I see health worker is curing the patients, doctors are innovating new medicine, the police is controlling the crowd movement and even bus drivers are helping people to get back to home. As a future engineer, I felt like my contribution is none, so I felt motivated to do my part and try to bring a positive change and to make sure my product can also be used in a future pandemic.
problem our project solves
The massive spread of COVID 19 is due to a measure reason, When a person is infected he can be asymptomatic for up to 21 days and still be contagious, so the only way to contain the spread is by wearing a mask and maintaining hand hygiene. WHO and CDC report said that if everyone wears a mask and maintains hygiene then the number of cases can be reduced three folds. But HOW we will do that? , How can we make ever one habituated to the following safety precaution so the normalization can take place.
What our project does
Our app is 1st of its kind safety awareness system, which works on google geofencing API, in which it creates a geofence around the user home location and whenever the user leaves home, he will get a notification in the C-CARE app ( ' WEAR MASK ' ) and as the users return home he will get another notification ( ' WASH HANDS '), ensuring full safety of the user and their family. It is also loaded with additional features such as i.) HOTSPOT WARNING SYSTEM in which if the user enters into a COVID hotspot region he will be alerted to maintain 'SOCIAL DISTANCING' And it also has a statics board where the user can see how many times the user has visited each of these geofences. With repeated Notification, we will make people habituated of wear masks, washing hands, and social distancing which will make each and every one of us a COVID warrior, we are not only protecting ourselves but also protecting others, only with C-CARE.
Challenges we ran into
1,) we lack financial support as we have to make this app from scratch.
2.) the problem in collecting data regarding government-certified hotspot and also we have to do a lot of research regarding the spread pattern of COVID-19.
3.) Due to a lack of mentors, whenever the app stop working we had to figure out by ourself, how to correct the error.
4.) It took us too long to use it in real-time as during lockdown it was too hard to go outside in the quarantine but finally, after lockdown loosens a bit we tested it and it gave an excellent result.
5.) we didn't know much about geofencing before that so we have to learn it from scratch using youtube videos.
Accomplishments that we're proud of
We’re proud to have completed our project in the period of this hackathon. Additionally, we’re proud of how we’ve dealt with time pressure and worked cohesively as a team to actualize our start-up goals, which we believe would have a genuinely positive impact on saving many lives once implemented properly.
What we learned
All team members of C-CARE were able to grow their area of competence by participating in the whole process of idea definition, market research, validation, prototyping, and presentation. Through different mentor sessions, we learned that problems could be approached by many means, but most importantly our mission should be clear.
What's next for C - CARE
COVID cases are increasing every day, and chances are low that we can create a vaccine immediately, apps like C-CARE will play a crucial role in lower the spread of infection till a proper vaccine is made. Our app can also be used for a future pandemic or seasonal diseases such as swine flu or bird flu.
Built With
android-studio
geofence
google-maps
java
sqlite
Try it out
github.com | C-CARE APP | C - CARE An app that makes ever person a COVID warrior. | ['Anup Paikaray', 'Arnab Paikaray'] | ['Our First Hackcation'] | ['android-studio', 'geofence', 'google-maps', 'java', 'sqlite'] | 4 |
10,403 | https://devpost.com/software/porta-nap | A pair of Porta-Naps with a small NFC chip attached.
A Porta-Nap wrapped and tightened.
Porta-Nap components.
Lock Screen after tapping Porta-Nap to phone.
Home page with alarm enabled.
Settings Page.
Home page with alarm disabled.
Demo of the Porta-Nap and Porta-Nap App in use.
Inspiration
When away from home, there is nowhere to take a quick nap other than the uncomfortable floors. I wanted to create a product for napping that is more portable, useful, and convenient than the big neck and head pillows.
What it does
The Porta-Nap is a device that lets you sleep anywhere at any time. It attaches your sweatshirt strings to your belt loops so your sweatshirt can support your head when you take a nap. The Porta-Nap makes napping as convenient as possible so you can take a comfortable nap in any chair!
Additionally, it comes equipped with an NFC chip, which can be used to quickly set an alarm or do various other tasks with a tap on a smartphone to speed up the napping process. Using the Porta-Nap App, the user can set a default nap length and a "do not disturb" message. When the user is sleepy, they can tap their phone against their Porta-Nap, an alarm will be set, and the "do not disturb" message will be shown.
The user can also create their own automated task by resetting the URI on the chip to do a task like opening a different app, enabling a shortcut, or opening a website. The Porta-Nap can even be used to share contact information or links with other people by tapping the Porta-Nap against their phone. As long as the Porta-Nap stays on the user's sweatshirt strings, it is convenient for napping, sharing data, and automating tasks.
How I built it
To build the Porta-Naps, I 3D printed a thin piece that allows the Porta-Naps to be attached and tightened on the user's sweatshirt strings. The hook was measured to fit people's belt loops perfectly. The sweatshirt string attachment method was tested many times with different methods on different sweatshirt strings to make sure it works on almost all sweatshirt models. The 3D model is the only part of the project that was worked on before the hackathon.
During the Hackathon, to integrate the NFC chip on the Port-Nap, I added a small indent to the model to keep the thickness constant. The NFC chips that I had were too big, so I folded them to fit in the small indent in the Porta-Nap.
I then created an app to go along with the Porta-Nap. I used XCode to build an IOS app. I built the app so the alarm and the "do not disturb" message were enabled when the app received a deep link. The NFC chip had the deep link for the Porta-Nap App, so when the smartphone picked up an NFC message from the Porta-Nap, the Porta-Nap App would open.
The website was built as support information for the Porta-Nap. It was built using HTML on Glitch and is hosted on GitHub.
Challenges I ran into
I had a lot of trouble passing parameters from the deep link into the app. I found out that there was an extra step for deep linking in IOS 13, and most of the tutorials I watched were slightly out of date.
I also had trouble enabling an alarm whenever the app opens from a deep link.
The NFC chips did not work well because I folded them to fit the Porta-Nap dimensions.
I initially tried to make the app in Flutter, something entirely new for me, but I switched to XCode after I had trouble using it and was running short of time.
Accomplishments that I'm proud of
I'm proud that I could make an old project a lot more useful with integrated electronics, an app, and a support website in less than 48 hours.
What I learned
I learned how to use deep links and how to use NFC chips for something practical.
I also refreshed my HTML skills and built and hosted my first real website.
Even though I didn't use Flutter for the final product, I learned the basics of Flutter.
What's next for Porta-Nap
In the future, the Porta-Nap App will have a better user interface with more features and information about NFC and the Porta-Nap. The website will provide more details on the Porta-Nap and will look better on smartphones. Smaller NFC chips will be used for the Porta-Nap, so the chips' quality isn't diminished by folding the chip. Then, the Port-Nap can be mass-produced using a 3D printer.
Built With
3dprinting
deeplinks
glitch
html
nfc
swift
uikit
xcode
Try it out
porta-nap.online
github.com | Porta-Nap | Sleep anywhere in any chair! | ['Ari Wasch'] | ['Best Hardware Hack presented by Digi-Key'] | ['3dprinting', 'deeplinks', 'glitch', 'html', 'nfc', 'swift', 'uikit', 'xcode'] | 5 |
10,403 | https://devpost.com/software/yourcomfyspace-auet40 | Welcome to Your Comfy Space
The Editor allows adding images, using bold, coloured and underlined text
The map shows your travel history, you can revisit those places by going back to journal entries from those dates
Meet Khushi (meaning Happiness in Hindi), your virtual friend.
You can talk to Khushi(happiness in Hindi) whenever you want to
You can set reminders to write everyday
Your Comfort Space
Inspiration
For most of the people, this time was supposed to be a summer vacation, enjoying with our friends and family but with the pandemic, we are stuck at home and alone with all our thoughts and worries about the future.
Pandemics can be stressful
, the coronavirus disease 2019 (COVID-19) pandemic may be stressful for people. Fear and anxiety about a new disease and what could happen can be overwhelming and cause strong emotions in adults and children. Public health actions, such as social distancing,
can make people feel isolated and lonely and can increase stress and anxiety
. However, these actions are necessary to reduce the spread of COVID-19. Coping with stress in a healthy way will make you, the people you care about, and your community stronger.
One of the ways to deal with any overwhelming emotion is to find a healthy way to express yourself. This makes a journal a helpful tool in managing your mental health. Journaling can help you:
Manage anxiety
Reduce stress
Cope with depression
The whole lockdown period can be like a big vacation period, this project aims to help anyone going through a tough time during this quarantine and help them cope with mental issues and hopefully make it a big happy vacation.
What it does
YourComfySpace is an app that helps you write a journal every day and express your thoughts and feelings.
With everyone stuck at home and unable to socialize with each other it can make people feel isolated and lonely and can increase stress and anxiety. Journaling helps
control your symptoms
and
improve your mood
by helping you prioritize problems, fears, and concerns, tracking any symptoms day-to-day so that you can recognize triggers and learn ways to better control them, providing an opportunity for positive self-talk and identifying negative thoughts and behaviors.
You can really feel the benefits of journaling when you create a
regular habit.
We went through the existing journal apps but they were just not safe, saving all the data on their own servers for ad purposes. So we save your data on your device and on Google Cloud if you want. But it is always very difficult to start a new habit. Especially for me when I really wanted to but was always unsuccessful in making a habit out of it. Our app helps you
create reminders
so that you can always remember to make the day's entry. Like they say it takes 21 days to create a new habit and our app aims to do that exactly.
Journaling is a great resource to help you work through arguments, decisions, creative pursuits, and those times when your motivation is wavering.
It can also serve as a tool to track your emotions, menstrual cycle, and any symptoms related to whatever health experiences you may be facing. Imagine that you’re missing your friends or family or are feeling depressed, all you have to do is open the journal and
go through all the happy memories.
To help you do all our app has a feature where you can express your emotions through choosing the
“mood”
you were in while writing the journal like happy, sad, angry, confused, excited, neutral, curious, tired, etc. The beautiful thing about your journal is that it’s always there for you, whenever you need it, no matter what you’re facing.
We also have Khushi which is an automated conversational agent or
chatbot
that monitors the moods of users and provides a venue in which users can express their
thoughts and emotions through therapeutic conversations.
It asks the user how they’re feeling and what is going on in their lives, talks to them about mental health and wellness, and sends videos and other useful tools depending on the user’s current mood and needs.
We also have
maps
where it shows the
geolocation
of the journal and where it was written. You can go through all the places you’ve visited and relived those moments again.
How we built it
DOMAIN CHALLENGE: Safe Space is located at
http://yourcomfy.space
. Due to the domain being new, some DNS changes may not have yet propagated, so a sample is at
https://priyeshbhawsar15.github.io/
GOOGLE CLOUD CHALLENGE: Our data is and chatbot are all hosted on google cloud!
Both of us in our team had
very little
experience in app development and developing websites since our UG program in Electronics.
We took this hackathon as an opportunity to learn
and that’s what we did! All of Friday was spent researching and looking at other apps for ideas and inspiration and ZERO experience in UI/UX design. We thought there was no way we would be able to finish our app with progress going so slowly. By the end of the day, we all had a few screenshots of other apps to be used as an inspiration for how our app would look like. Little did we know such
slow progress did not mean we weren’t improving.
The next day, something just clicked. We were sitting and trying to implement everything that we’ve decided to make. We woke up the whole night and implemented everything from the app, the website, and the chatbot.
Building this app took a lot of
patience and support from one another.
Sometimes we would be spending upwards of
3 hours
on one recurring error. That’s when another teammate would step in with encouragement and a new perspective on the problem! Through the power of
teamwork
, we assembled and created our first app this weekend!
Challenges we ran into
To be honest, the whole journey towards building an app was a challenge. Trying to implement so many things in a limited time period was quite the feat. However, it’s something we are all extremely *proud to say that we did it! * Some more specific features that were difficult to resolve were:
Implementing the chatbot:
After some intense research and tutorial-watching, we tried to implement the chatbot. We had to write different intent and entities and try mapping out the whole conversion flow. It was thankfully easy to deploy and train the bot because of GCP but the real challenge lied in integrating the bot with our app.
Making the website:
None of our team members had any experience in making a website so we had to learn it from the beginning and implement everything accordingly. We learned a lot during this process.
No experience in Design:
No one in our team had any experience working with any of the design tools and we had to make the whole app with just a few UI works available online and had to figure everything on the go.
Accomplishments that we're proud of
We’re extremely proud of all the challenges we've overcome, especially considering our limited experience in XCode. It was a steep learning curve, but that makes it feel even more rewarding to try our finished app. In particular, we loved:
The chatbot:
Spend a lot of time on creating the chatbot especially considering we had no experience to do it before. It was really amazing to see the chatbot working and hopefully help people out.
Saving data on your device:
Saving data on your own device makes this app stand out way more than the ones on the AppStore right now that save your data on their servers and use the data to suggest you ads.
The bond we’ve built as a team:
This is our first hackathon together as a team. Coding while group calling for the majority of the 48 hours, we have found creative ways to keep each other awake and motivated. We’ve gotten to know and understand each other on a much deeper level!
What we learned
We learned to implement a lot of new features in iOS.
We learned how to make a chatbot and integrate it with our app.
We learned how to make a basic website and host it.
We also understood the importance of design.
What's next for YourComfySpace
We plan to hopefully improve on the many features of the app and fine-tune it accordingly. We would also like to make the chatbot write journals automatically for you while you talk to it. We would also like to work on the design of the app and improve it further.
Built With
coreda
css
dialogflow
event-kit
firebase
gcp
google-cloud
html
kommunicate
mapkit
quote-api
swift
uikit
Try it out
priyeshbhawsar15.github.io
github.com
yourcomfy.space | YourComfySpace | YourComfySpace is an app which helps you write a journal and express your thoughts and feelings.The whole lockdown period can be like a big vacation period and this app will help you make best of it. | ['Priyesh Bhawsar', 'Garima Bothra'] | ['Best Domain Name from Domain.com'] | ['coreda', 'css', 'dialogflow', 'event-kit', 'firebase', 'gcp', 'google-cloud', 'html', 'kommunicate', 'mapkit', 'quote-api', 'swift', 'uikit'] | 6 |
10,403 | https://devpost.com/software/grocerhelp-app | Inspiration
COVID-19 pandemic panic buying has emptied shelves of basic needs in all supermarkets, leaving various individuals in the community without access to the most basic needs. Even though supply chains are implementing measures to increase their stock levels, but fear of shortages of food and services are making their stock on site fluctuate every week and supermarkets become high-risk infection areas.
What it does
GrocerHelp is a community-driven platform that helps users optimise their visit to the supermarket, by informing them about item availability in their nearest shops, while reducing their exposure to the virus, eliminating unnecessary movements to risk areas.
How I built it
FireBase
- As backend Database for storing information about various shops
UiPath
- For webscraping
The app is built using Android Native SDK tools with the following libraries.
Google Maps API V2
- for GeoFencing
ButterKnife
- for View Binding
Glide
- image loading framework for Android
Okhttp
- as android Http Client
OneSignal
- Easy Firebase Notifications
Alerter
- For Material Style Alerts
Challenges I ran into
Initially, Webscraping for data regarding various shops has become hectic. However, UiPaths powerful web scraping tool has made our job super simple.
Also, Using Firebase provided by Google Cloud Platform as database helped us to save lot of time.
Accomplishments that I'm proud of
I was able to wireframe and design the whole app within a day.
Later within the next 12hrs, I was able to complete designing the whole functional prototype.
What I learned
I learnt web scraping using UiPaths powerful web scraping tool.
I also learnt to integrate Firebase in Android.
What's next for GrocerHelp App
Add several other stores like pharmaceuticals and restaurants where there is a high chance for crowding.
Built With
android
firebase
google-cloud
uipath
Try it out
github.com | GrocerHelp App | Community Driven Platform to help everyone find where the required Grocery and Daily needs are available right now. | ['Sainag Gadangi'] | ['Best UiPath Automation Hack'] | ['android', 'firebase', 'google-cloud', 'uipath'] | 7 |
10,403 | https://devpost.com/software/the-good-vibes | Brand Name
Home Page
Playlist Page
Resources
About Us
Inspiration
Taking a vacation means relaxing to the fullest extent. As a team, we pondered over everything that made us relax, whether it was sleep, meditation, or even browsing online. But, each one of us came to the conclusion that an essential part of relaxation was -- music.
Music has an incredible ability to help shape your mood. Regardless of how stressed you may be about projects, put on a happy tune and you're bound to start tapping your feet. In fact, I'm listening to some chill music right now as I write!
However, personal favorite tracks can be hard to come by. So, a streamlined way to retrieve your own personalized playlist is a must need!
*Vibe: a person's emotional state (we always want to have some good vibes, hence our name!)
What it does
Our website is built to be simple and easy to use. Ultimately, we're making that painstaking process of digging through hundreds of songs easier. The user tells us what mood she/he wants to achieve, and we provide a selection of personalized Spotify playlists ready to use. It's fun and quick, giving the user a chance to thoroughly enjoy her/his vacation listening to music found in seconds.
How I built it
TheGoodVibes was built with the priority of user experience in mind. We wanted to create a web app accessible from anywhere on the fly! We implemented our responsive features using BootStrap and added our own flair to inspire creativity. The backend is driven by NodeJS running an Express server to give us the customization we need between a user and their vibes. The site implements the Spotify API, which we interact with using the node-spotify-api library. Everyone was able to collaborate on the project by using GitHub. GitHub made it super easy to collaborate with each other on certain aspects of our web app, all while open sourcing our software. We were able to further formalize our website by deploying it live on Heroku and syncing a domain name to give it that final touch. We look forward to developing and maintaining the vibes we hope to share.
Challenges I ran into
We are a team of recently graduated seniors, thus, many of us have had a limited amount of contact with developing a working website. Only one out of our 6 teammates had any experience with hackathons, and as a result, we struggled at first to understand the time limits and complexity of developing a project for a hackathon. Furthermore, for many of us, this was the first introduction to javascript, html, and css, as well as using visual studio code and github. There was a steep learning curve, but nonetheless an opportunity to bond with teammates and expand our knowledge beyond the school curriculum. We learned from each other and discovered efficient ways to communicate ideas with each other, even with the challenges of different time zones (even different countries!) and doing it all over the internet.
What I learned
More about how collaborating works on GitHub, as well as the ways to use BootStrap. The backend was something only one person had experience in, so it was a learning process for all of us. Time management was also a big thing where we had to consider what could possibly be done with the time ticking down. We had to look at the big picture in order to keep level heads and plan according to what we could do in the given time instead of what we might be able to do. We also ultimately learned how to complete a fully furnished website that includes many interactive features and pleasing animations.
What's next for The Good Vibes
The Good Vibes is planning to take its personalization to the next level. We plan to implement more questions and categories for users to choose from to more concisely sift through our hundreds of playlists and offer him/her the best few. We will be expanding our playlist database as well to cover wider genres of music to meet the needs of all our users. The addition of new filters will bring about endless vibes to groove out to, on or off vacation.
Built With
bootstrap
css
domain
domain.com
express.js
heroku
html
javascript
node.js
spotify
Try it out
www.thegoodvibes.tech | The Good Vibes | Whether you come stressed or brimming with excitement, we aim to provide you a personalized Spotify playlist to achieve your desired "vibe" for the day! | ['Rafael Piloto', 'Vyshnavi Rajeevan', 'Elisa J', 'Julia Yu'] | [] | ['bootstrap', 'css', 'domain', 'domain.com', 'express.js', 'heroku', 'html', 'javascript', 'node.js', 'spotify'] | 8 |
10,403 | https://devpost.com/software/coronacation-trip-advisor | Inspiration
Due to the current pandemic of COVID-19 many of us are taking extreme precautions. The quarantine had us wanting to go out enjoy the outside world again, even more now since it's summer. This website helps people who want to enjoy their summer with the safest travel locations to visit. Powered by ML and Data Science tools, Coronacation uses NYTimes' and CDC databases to provide insights on how rapidly the coronavirus is spreading among the counties of the United States.
What it does
Our website provides a colored-coded map that indicates COVID-19 hotspots, analyzing the infection spread in every county. Aside from the map, we also offer the most relevant COVID-19 news from the CDC, as well as the Center's health guidelines and recommendations. Our goal is to ensure safety for travelers.
How we built it
With the domain coupon "FIREWORKS" we got ourselves coronacation.online domain and hosted it using netlify and Google Cloud Services. The website is connected to our GitHub repository so any changes made there will affect the website. We used Javascript, HTML, CSS, JSON, and other technologies while also working with Highcharts API.
Challenges we ran into
We ran into many challenges. While creating color-coding algorithms was one of the most difficult parts, we enjoyed working together as a team and figuring things out. Deploying the website took us a while also receiving data took a while.
Accomplishments that I'm proud of
We are proud of how us newbies were able to come up with an idea and made it work! It is amazing on how much you can accomplish with a team!
What I learned
We learned how to deploy a website with the domain we received using code "FIREWORKS" which took us a while. This is many of our first time using API's and we learned how to interact with it! The most important skill that we learned is team work. Before the hackathon my impression on working on a project with a team was everyone is by themselves but that is not the case. We learned to communicate well and asked help when needed, which is what a team is all about!
What's next for Coronacation Trip Advisor
Our plan is to further develop our AI skill and team skills. We will continue to work on the Coronacation website after the hackathon is done because we are really enjoying working together and make even start a new project in the near future using the skills we have learned!
Built With
css
highchart
highcharts
html
html5
javascript
json
Try it out
www.coronacation.online
github.com | Coronacation: Trip Advisor | An AI-Driven Vacation Map for COVID-19 Pandemic | ['Kevin Granados', 'Kavya Anbarasu', 'Oleh Shostak', 'Maniya Dahiya'] | [] | ['css', 'highchart', 'highcharts', 'html', 'html5', 'javascript', 'json'] | 9 |
10,403 | https://devpost.com/software/relaxify-oq8pju | Happy Mood
Player Screen
Lonely mood
Player screen 2
Inspiration
Whether it is sad music that helps us feel relatable when we are going through hard times or joyful music that adds an extra bounce to your step, music is incredibly powerful. Couple it up with soothing visuals and all your stress and sadness will be away in no time.
What it does
Relaxify is a website that plays songs gradually elevating person's current mood.
How We built it
We built the website using HTML, CSS, and Javascript for the frontend. For the backend, we used PyTorch and Flask. Spotify API has been used for sourcing the music.
Challenges We ran into
We had the challenge of figuring out how to integrate ML into the backend of the application. Finding a dataset our our specific need was another challenge. Finally, sourcing audio urls for our application was also tough as we couldn't find any free music APIs.
Accomplishments that We're proud of
We are proud of deploying a Machine Learning model being a complete beginner in a short time.
What We learned
We learned to work as a team and learned PyTorch.
What's next for Relaxify
Currently, our model can only classify songs in two categories, relaxing and non relaxing. We look forward to broaden it into more categories along with a functionality to suggest similar songs, for a better user experience.
Music thumbnail devpost image created by freepik -
www.freepik.com
Built With
css3
flask
heroku
html5
javascript
python
pytorch
spotify
Try it out
hackcation-music.herokuapp.com
github.com | Relaxify | Explore new music to elevate your mood | ['Daniel Benton', 'Shikhar Sharma', 'Donghyeon Kim'] | [] | ['css3', 'flask', 'heroku', 'html5', 'javascript', 'python', 'pytorch', 'spotify'] | 10 |
10,403 | https://devpost.com/software/qwizer | main Ui.
What it does
QWIZER is a quiz web app, it lets the user choose the difficulty level and play the quiz.
It Fetches quiz data from
http://opentdb.com/
.
The question can be from any of the following topics:-
General Knowledge
Entertainment
Books
Film
Music
Musicals & Theatres
Television
Video Games
Board Games
Comics
Japanese Anime & Manga
Cartoon & Animations
Others
Science & Nature
Computers
Mathematics
Mythology
Sports
Geography
History
Politics
Art
Celebrities
Animals
Vehicles
Gadgets
How I built it
I used Browser's Fetch API to get quiz data and client-side javascript to handle events such as click on an option, timeout, keyup etc.
Accomplishments that I'm proud of
Minimal User-Interface, which is built entirely from CSS without any external library/dependencies.
What I learned
REST API using Browser's Fetch.
SCSS, PostCSS (SAAS)
What's next for QWIZER
Real-Time Multiplayer.
Global Highscore Ranks.
Email Auth.
Built With
css3
html5
javascript
Try it out
qwizer.web.app | QWIZER | A Quiz web app with minimal Ui. | ['Vishal Kumar'] | [] | ['css3', 'html5', 'javascript'] | 11 |
10,403 | https://devpost.com/software/easymlh | Inspiration
During previous hackathons, my teammate and I have seen people struggling to find resources, tips, and links that they need. This can cause a lot of stress, and that is not healthy. My teammate and I decided to create a webpage It has everything you need for a hackathon on it. And not only does it compile everything you need, Easy MLH also provides hackers with tips, tricks, and a relaxation page built with simplicity, and a sense of calming.
What it does
This project provides many useful tips, resources, and even includes a relaxation page with many interesting features. The relaxation page was built off of scientifically-based concepts. Easy MLH also reduces the amount of stress first time hackers go through, and even provides resources to alleviate practically all of the hacker's stress.
How we built it
We used HTML, CSS, and JavaScript. We used GitHub as our hosting platform, and
domain.com
for our domain.
Challenges we ran into
We ran into quite a lot of challenges. Most of them being JavaScript related. Both of us have not really worked on the JavaScript environment, and so learning about the syntax and hooking up the DOM was very difficult. I also found that the CSS was very difficult. The animation on the relaxation page is 100% CSS based.
Accomplishments that we're proud of
We are proud that we have gotten the entire thing to work, and the relaxation page is by far our favorite part of this project.
What we learned
We learned how to properly use GitHub with VS code integration. We also learned a lot of JavaScript.
What's next for easyMLH
Better styling with CSS, and more features. Because we did not have a backend, we had to copy lots of code, most notably the navigation bar. We would make all that PHP files, and eventually implement team searching. The process for signing up for a MLH hackthon has never been easier!
Built With
css
github
html
javascript
Try it out
www.easymlh.tech | Easy MLH (easymlh.tech) | Making MLH hackathons the least bit stressful with resources, tips, and relaxation | ['Wesley Sullivan', 'Aaron Santa Cruz'] | [] | ['css', 'github', 'html', 'javascript'] | 12 |
10,403 | https://devpost.com/software/numbermate-l09w6h | GIF
NumberMate
NumberMate
is a simple fun game where a player guesses other players numbers. each guess is graded based on Group (number of numbers found) and Order(number of numbers found in the right place).
Submitted by:
Dinaol Tadesse
Time spent:
24
hours spent in total
User Stories
The following
required
functionality is complete:
[x] User can guess other players numbers.
[x] Uses Firestore collection database
The following
Additional
functionalities were not implemented due to shortage of time:
[ ] Winners Page - shows players with the most win count
[ ] Help Page - gives detail explanation along with some animations to help user understand the game
[ ] Authentification - Enable players to sign up for an account
[ ] Settings Page - Enable Users to increase the difficulty thereby being promoted to a whole new Arena! :)
Video Walkthrough
Here's a walkthrough of implemented user stories:
GIF created with
Recordit
.
Notes
While I was building this app. I had to first create the whole skeleton of the project. I found myself thinking of more things I could do.
FireStore
did make some things easier for me. For instance, when getting data from the Firestore database and when setting up a listener to stay up to date.
License
Copyright [yyyy] [name of copyright owner]
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Built With
ruby
swift
Try it out
github.com | NumberMate | This is a simple fun game! | ['Dinaol Tadesse'] | [] | ['ruby', 'swift'] | 13 |
10,403 | https://devpost.com/software/deep-surveillance-using-a-i-deep-learning | On finding the suspect it will store the image of suspect to the database and inform to cops or personal security
Inspiration
Increasing the security to women and children in public areas and can detect a missing children
spot the suspicious and most wanted criminals wandering around especially in Airports/Public places
surveillance of militant activities at the borders
Securing home by identifying the visitors
Making offices more secured by detecting unknown people moving around
What it does
This is a project on building an A.I cam for the detection of the suspicious activities/people around us
If it finds the suspect it will store the image of suspect to the database and inform to cops or personal security
How I built it
Using a Deep Learning Model Trained on my own by using 35,887 data set of images to predict the suspicious activities.
Challenges I ran into
Collection of a data set of 35,887 data set of images
Training the model using CNN Algorithm
Accomplishments that I'm proud of
It finds the suspect it will store the image of suspect to the database and inform to cops or personal security
What I learned
A.I is boon to world if used in right way to add humongous results for our daily activities
What's next for Deep Surveillance using A.I & Deep Learning
Using my skills, knowledge and expertise in the field of deep learning to build a better/innovative society.
Built With
cnn
deeplearning
keras
machine-learning
opencv
python
tensorflow
Try it out
github.com | Deep Surveillance using A.I & Deep Learning | This is a project on building an A.I cam for the detection of the suspicious people/activities in public areas/home | ['Mohit Venkata Krishna Ch'] | [] | ['cnn', 'deeplearning', 'keras', 'machine-learning', 'opencv', 'python', 'tensorflow'] | 14 |
10,403 | https://devpost.com/software/just-save-it | Title
When links have been entered.
No link entered.
Inspiration
When ever you apply for any different event or create a new account, you need to give links of your basic info like your LinkedIn, github, and other social media accounts. Sometime it becomes very annoying to open the profiles and copy the links again and again.
What it does
So I created a chrome extension in which you can save your links and copy them whenever you need. It saves your efforts and time.
How I built it
I used HTML, Javascript and Chrome storage API
Challenges I ran into
It was the first time I build a chrome extension. And I wasn't knowing how to use chrome storage API so I had some difficulties to store the data. But, finally its done.
Accomplishments that I'm proud of
Its first time I had build chrome extension and worked with storage API. So I am glad that I participated in this Hackathon and completed the project.
What I learned
I learned to develop something new and interesting :)
What's next for Just Save It
I want improve its UI
I want to publish this extension so that others can make use of it too.
Built With
chrome
html5
javascript | Just Save It | A chrome extension to save important links | ['Shweta Kale'] | [] | ['chrome', 'html5', 'javascript'] | 15 |
10,403 | https://devpost.com/software/venture-95271p | banner
screen 1
screen 2.2
screen 2.1
Inspiration
People are stuck in quarantine. They are overloaded with work due to the crisis situation. They cant have weekend travel to relieve them from the stress. They cant enjoy there vacations. So we tried to tackle all these with our app
Venture
What it does
Venture lets you travel around the most tranquil locations in the world. You can experience the serene native music of a particular location while delving into the unknown and interesting facts about that area.
How we built it
We built the app using flutter which supports Android, iOS, Web, Linux, Windows and MacOS so you won't ever miss Venture. The backend was made using Golang which is very fast and scalable language for server side development.
Challenges we ran into
We were initially making the backend based on Node.Js but we were getting a api response time of about 2s which just wasn't acceptable because user experience was our first priority with this app. Therefore we switched to Golang and with the help of go routines we were able to get a response time of 11ms!!
What's next for Venture
Supporting more locations, using ML model for facts.
Built With
flutter
gcp
golang
Try it out
github.com | Venture | Enjoy quarantine the right way. | ['Barun Acharya', 'Jayesh Nirve'] | [] | ['flutter', 'gcp', 'golang'] | 16 |
10,403 | https://devpost.com/software/smarttrash-taf6l0 | metal
paper
plastic
prototype
circuit
Details of Our ML Model
Inspiration
Unsegregated waste disposal causes a lot of problems for humans as well as the environment. Soil contamination is one of the major consequences of this problem. For example, unsegregated plastic enters the soil and releases harmful carcinogens, hence endangering life around it. Therefore, it is crucial that we filter the waste before its disposal. This issue is not only observed at large-scale industries, but also at universities, schools, and homes. Students or employees, in a hurry, are less likely to spend time classifying their trash before disposing it into the dustbin. Due to this, most of the trash gets collected in the garbage section of the dustbin, unfiltered. To ease this process of segregation at the first level, we have designed Smart Trash.
What it does
Our product is a special type of dustbin, which will ‘look’ at the garbage intended to be thrown, and indicate which hole it should be thrown in. Currently, our solution identifies the type of waste shown in the camera into (plastic, paper and metal). This is done via a machine learning model, trained on Google Colaboratory with TensorFlow using python.
Once it is determined the type of garbage the user wants to throw, it is further classified as either biodegradable or non-biodegradable. Based on this, the LED near the relevant hole in the dustbin lights up as a visual indicator. This is done quickly enough so that the user does not have to actively think about.
The result is better segregated waste, without any extra user input.
How we built it
This is the basic circuit for our project
Physical Parts:
Raspberry Pi 3B+
Raspberry Pi Camera
2 LEDs
The program runs on a Raspberry Pi so that it can easily be retrofitted in existing dustbins, which are already installed.
The first step was to acquire a database with different types of garbage. We chose to go with the well-known garbage classification dataset on Kaggle. After that, a Python script was used to create a sequential machine learning model consisting of 4 Conv2D and MaxPooling2D layer sets, 1 Flatten layer and 2 Dense layers. This model was then trained on the dataset, which we manually split into Training and Validation subsets. We chose to run this script on Google Colaboratory, as none of our computers were powerful enough to complete the task in a reasonable time-frame. This machine learning model was then exported to a .h5 file, which was downloaded to the Raspberry Pi to begin writing the prediction script. Here are the results of our model:
The prediction script uses the OpenCV module for Raspberry Pi to create a video stream using the Raspberry Pi camera. Each frame of this stream is passed through the machine learning model to predict the type of trash. The number of types of trashed was reduced from 6 to 3, due to camera limitations. Once the type of trash is determined, it is classified into biodegradable and non-biodegradable subsets. After that, the appropriate LED is turned on to convey which hole the trash should be thrown in. Simultaneously, the video feed also displays which type of trash is sensed, along with an image of it(see video).
The physical dustbin model consists of a card-board box with two holes, each paired with an LED. The hole near the white LED represents where biodegradable waste would be thrown. The hole near the red LED represents where non-biodegradable waste would be thrown. Each LED lights up when the relevant waste is sensed. Here is the physical model that we built:
Challenges we ran into
None of the people in the team had experience implementing machine learning hands-on in this manner. Every technology that we used here was learnt in the duration of the hackathon. None of us had experience with openCV and video streams either.
Another challenge was that our camera was not sensing any materials other than paper, plastic and metal. This
meant that we had to remove the functionality of sensing glass and cardboard, as it was interfering with core features of our system.
Our personal systems were not powerful enough and were taking too long to train the model, hence we offloaded this work to Google’s computers, using Colaboratory.
Accomplishments that we're proud of
Our first time implementing and using AI and ML in a project.
Model trained to ~80% accuracy!
Predicting objects in real-time video as compared to detecting features in static images.
What we learned
Coding simultaneously online
Machine Learning training and prediction
Different types of machine learning layers and their usage.
Implementation of AI and ML in real life projects
Working with multiple python libraries to increase UX
OpenCV
Improved video editing skills
Collaboration and teamwork
What's next for SmartTrash
In the future we plan to control the lids of the dustbin automatically, but due to hardware constraints, we opted for LEDs for now.
We also plan on training the AI model to increase accuracy and introduce new segregating factors into the classifier.
As the model becomes more accurate, we will try to adapt to a more realistic version of the dustbin and test it thoroughly in real life scenarios.
Domains Names Registered
Kushagra - letsnotgo.online
Charu - 4dimension.space
Ajeya - allyour.space
Built With
google-colaboratory
gpiozero
keras
numpy
opencv
raspberry-pi
raspberry-pi-camera
raspbian
tensorflow
Try it out
github.com | Smart Trash | An artificially intelligent trash segregator | ['Ajeya Madhava Rao Vijayakumar', 'Kushagra Goel', 'Charu Tyagi'] | [] | ['google-colaboratory', 'gpiozero', 'keras', 'numpy', 'opencv', 'raspberry-pi', 'raspberry-pi-camera', 'raspbian', 'tensorflow'] | 17 |
10,403 | https://devpost.com/software/actibridge-cqrdtu | Inspiration
As a result of the recent events in 2020, including but not limited to the COVID-19 pandemic, Yemen humanitarian crisis, and the Black Lives Matter movement, we wanted to provide people with an option to educate themselves and support others across the nation and across the world. We help users find petitions to sign, organizations to support, and causes from all over the world to learn about and make it easy for them to take action.
What it does
ActiBridge is a website that will allow its users to bridge the gap between activism and ignorance and take action with movements they care about. Users can take a quiz that will personalize their results and show them various causes they can support, petitions they can side, and organizations to which they can donate. In addition, they can select their representative, and ActiBridge will automatically create and format an email for them to send.
How I built it
We built ActiBridge in Glitch using html, css, and javascript. Additionally, we used arcgis to create a map that allows users to find and set up local protests. The color scheme and layout was created in Adobe Color and draw.io. Our logo was created in Procreate and rendered with vectors in Paint Tool Sai. All photographs were found on online photo sharing platforms that offered free to share media, such as Wikimedia Commons and Flickr. The photographs were appropriately sized and given colored overlays in Pixlr.
For our backend development, we integrated Firebase and Google Login to allow the user’s data to be stored-- data which would be meant to help make their experience more personalized on the “Match Up” and “Outreach” pages.
Challenges I ran into
The “Outreach” page allows the user to enter their ZIP code and matches them with their representative. One challenge that we ran into was creating an email template directly in their computer’s local mail application. Since the website uses an HTML form, the email had to be formatted using textareas. At first, we used a text element instead and were unable to add line breaks, and when using normal spaces the email would format with “+” between each word. We fixed this by changing the body element to a textarea and adding ASCII codes for spaces and line breaks.
While laying out the CSS of the entire website, we ran into several problems with consistent formatting, integrating photos into our color scheme, and ensuring the functionality of buttons and links. Although it was the first time many of our team members worked intensively with CSS, we were able to fix the various bugs by testing different solutions from sites such as StackOverflow and W3Schools. For integrating photos into our color scheme in particular, we were unable to fully solve the issue, as overlaying an unedited photo with a separate colored container never fully lined up the photo and the colored screen; unedited photos were also often too small for our website to host cohesively. We ended up editing the photos of protests outside of the CSS formatting. However, given more time we would continue to develop a more efficient solution that would allow developers to upload unedited photos and play with color overlays directly in the source code.
Glitch, the editor we hosted our project on, would often overload with requests, which made it difficult for our team to edit and test features on ActiBridge in real time. We addressed this by using local text editors to test our code and by playing with the Glitch editor settings to prevent automatic updates to our website.
Accomplishments that I'm proud of
We're proud of how the Outreach page came together. After about an hour of tinkering between GET and POST forms, text vs text/plain, and the textarea versus text, ew was able to figure out how the form works. The email was formatted correctly once the mail application opens, and we got to learn the difference between GET and POST.
We are also proud of the interactive elements in the navigation bar and the Black Lives Matters library page. The animations in the navigation bar and the hovering opacity features of the library page were new CSS features that most of us had never worked with before, and it was so cool to see that we could apply them successfully to website features of our choice.
What I learned
On the frontend side, we learned about CSS specificity and how to develop centralized stylesheets that determine style for all web pages. We learned how to create animations to make the website more interactive in CSS and Javascript. We learned to use structures such as grid containers to house multiple photos in cohesive and easily editable ways.
On the backend side, we learned how HTML forms receive and process data that is entered, as well as how to set default, formatted values for parts of the form. We learned how these forms can be used to send emails from the user’s personal email. We learned how to integrate Google Login with our database and our frontend to make a user’s experience more familiar and personalized. Through research, we also learned that personalization is complex to implement, as it requires constant interactions between the front and back ends to make a user's experience unique. We were not able to fully implement the personalization factor, but through developing aspects that would lead to personalization, we learned a lot about how we might implement it in the future.
What's next for ActiBridge
We hope that in the future, we can continue to develop ActiBridge in ways that will make activism resources more accessible, interactive, and localized for aspiring social change makers. We hope that it can connect people from both local and global regions of the world. Also we would like to store user preferences in firebase to personalize their experience.
Built With
arc.gis
css
esri
firebase
html
javascript
Try it out
actibridge.glitch.me | ActiBridge | ActiBridge is a website that will allow its users to bridge the gap between activism and ignorance and take action with movements they care about. | ['Anjali Kumar', 'neha konjeti', 'Anthony Franco', 'Helena Yang', 'Hannah Kim'] | [] | ['arc.gis', 'css', 'esri', 'firebase', 'html', 'javascript'] | 18 |
10,403 | https://devpost.com/software/calme-enbwuc | Home Screen
Inspiration
I was inspired to create this from the existence of many other apps like this, but all lacked the learning and procedural properties.
What it does
You begin a meditation session when you click enter, you are given prompts for things to do and afterwards you simply click whether you liked that meditation or didn't, the system will then recommend other meditations less like that one.
How I built it
I used signalR for the communication from backend to frontend, which is a very new thing to me and I'm glad I was able to apply it in the way I did
Challenges I ran into
Getting the recommendation algorithm to work, along with linq statements not working properly.
Accomplishments that I'm proud of
SignalR mostly, along with a pretty well working algorithm for recommending.
What I learned
How to correctly use signalR for non-chat app purposes and tons on linq and algorithm development, as I'm pretty new to this all.
What's next for Calme
In the future I hope to have more meditation snippets to make the experience more varied, along with using a speech synthesizer so that the meditation can be done without the need to read.
Built With
asp.net
c#
css
linq
signalr
Try it out
github.com | CalMe | Your average meditation web app, but procedural and learning from user feedback | ['Braden Everson'] | [] | ['asp.net', 'c#', 'css', 'linq', 'signalr'] | 19 |
10,403 | https://devpost.com/software/planr-zl40yo | Last Survey Questions
itinerary
Second Survey Questions
Landing Page
Host Person General Travel Information
Custom Survey Link
First Survey Questions
Inspiration
My friends are rather indecisive. We always want to hang out together, however, we are never able to make concrete plans that last until the day of the meetup. For example, for the past year we were planning a trip to a nearby city for camping, however, after a year worth of fruition, the plan fell through because we could not settle on plans that satisfied everyone. We are fixing this problem for everyone with our project!
What it does
Our project is a simple web app where you fill out some basic information about a trip you are planning through a quick 1 minute survey. Then, through our tested algorithms, an itinerary calendar is displayed that plans out the entire trip for you! It includes activities and places to eat. This itinerary will do its best to satisfy all of the trip members' food and activity choices.
How It Is Built
We first used a bootstrap template to get the web app front end started. Along the way, we added a lot of our own custom css, html, node.js, and javascript code to make the UI work the way we wanted it to.
APIs:
Sendgrid email API
Google Maps Javascript and Places API
Languages:
CSS, HTML, Javascript,
Libraries:
Moment.js,
Bootstrap,
jQuery,
Frameworks:
Express
Challenges We Ran Into
Alongside the inevitable frustrations caused by trying to satisfy OCD and perfect the css, a major challenge we faced was connecting the front end to the back end through jquery post methods, as none of us had done this before so we had to learn how to get user data. In addition, there were also difficulties in the back-end in determining a fairness system such that each person’s preferences were taken into account equally. Lastly, we believe that some of our ideas were quite ambitious considering our experience, so implementing certain concepts like custom survey URLs was a challenge.
Accomplishments that we're proud of
We're really proud because for 4 of our members, this was our first official 24 hr hackathon!
One thing we are really proud of is the UI. It looks really clean, and is very easy to follow for the users, all while being full functional in its tasks.
Another thing we are very proud of is our final output itinerary. It would be very easy to just randomly display food and activity choices randomly while loosely adhering to all of the users inputs, but we made sure that all of the users inputs were actually taken into account through a rating based algorithm system.
Above all things, we are proud that our web-app is able to deliver custom itineraries that work on any location in the world, and we did not hard-code anything to save time.
PROUD OF TEAMWORK THROUGH OUR BLOOD, SWEAT, AND TEARS
What I learned
We learned a lot about creating post and get requests, http requests, api calls, using endpoints, and in general a lot about how to connect the front end code to the back end code. We also learned how to parse user input data and also about how to compartmentalize our code so that we are able to reduce as much coupling as possible.
What's next for PlanR
We really like the simplicity of the web app, so we don’t want to increase the amount of questions in the survey. Instead, we want to first develop a mobile app that keeps the simplicity of the web app. Eventually, we are gonna make it into a tech unicorn, being paid by the vacation places we suggest.
Interested In Our Code?
https://github.com/Adrian587/HackationProject
PlanR is hosted through heroku
Try it out
github.com
owl-planr.herokuapp.com | PlanR - Plan ahead with our app instead | Have a perfect vacation idea with friends/family, but can’t agree on something? PlanR is a web app that creates an itinerary that meets everyone’s needs, finally making your dream vacation a reality! | ['Amogh Joshi', 'Adrian Lee', 'Liang Liu', 'Andrew Han', 'Anindya De'] | [] | [] | 20 |
10,403 | https://devpost.com/software/quarantime-5d6amj | Inspiration
Since the outbreak of coronavirus disease (COVID-19), we are aware of the term quarantine and its significance in preventing a further outbreak in communities and individuals. It is necessary to track the individual locations for the ones who have been in contact with an infected person- directly or indirectly, for a variety of reasons including contact tracing, prevention of exposure to the virus.
What it does
The global pandemic needs scalable and distributed monitoring. This calls for a need of apps that can monitor individual activity with precise location and deliver timely updates to the connected services which notifies whenever an isolation or quarantine rule has been violated.
How I built it
Platforms
I built this application with
Google Cloud Platform
, it is essentially a Xamarin.Forms cross-platform mobile application that supports Android, iOS, and Android Wear.
Languages and Frameworks
The app is built with Xamarin.Android and is written in C#.
Cloud Services
Google Geolocation APIs power the app's location-awareness features and provide an identity platform to authenticate every user associated with the app.
Mobile Backend
The backend runs on
ASP.NET Core
, which attaches the webhook to the communication provider.
Communication Provider
The app uses
Twilio
programmable SMS to send texts on appropriate HTTP triggers.
Hosting
To keep the testing process hassle-free and lightweight, the app is hosted on secure tunnels using
ngrok
.
Challenges I ran into
Build process for multiple web services.
Accomplishments that I'm proud of
My first Android WearOS project
What I learned
Connecting services and cross-platform integration to support for a wide range of functionalities, hosting, debugging, and much more!
What's next for Quarantime
Scalability can be achieved starting from the current version of the app itself, to provide real-time COVID-19 updates, connect users with essential services that provide doorstep deliveries, to ensure social distancing, and a lot more!
Built With
android-wear
asp.net
c#
github
google-cloud
google-maps
google-places
ngrok
twilio
xamarin
Try it out
github.com | Quarantime | Smart geolocation tracker to prevent the transmission of COVID-19 by restricting individual activities and residing perimeter to prevent exposure from the deadly COVID-19. | ['Shivam Beniwal'] | [] | ['android-wear', 'asp.net', 'c#', 'github', 'google-cloud', 'google-maps', 'google-places', 'ngrok', 'twilio', 'xamarin'] | 21 |
10,403 | https://devpost.com/software/mlh_hackcation_2020 | Landing Page 1
Dashboard
Run for Tranquility
Landing Page 2
Explore
For You
Chat - Multiverse
Play404, by Team 404
Presenting Play404, the one online getaway you need to keep yourself refreshed and relaxed.
Play404 is your own virtual vacation.
Just login with any username, and you get a free access to all of our features .
Join in and Play games, binge movies, burn some calories, plan activities, set reminders or do various activities and live a much more balanced life!
You can even plan it with your virtual friends across Play404, chat with them and live better life together!
You just have to think and we have a fun and wonderful weekend planned for you at any time of the week.
Do not forget to give any suggestions or recommendations at the end of session!
Enjoy!
Features
Quick Access Dashboard
The dashboard gives you a quick snapshot of what your day looks like. A shot of inspiration and motivation via regularly updated quotes, Your tasks and to-dos, a quick mindful breathing session and more. Dashboard presents you the information you need right when you need it.
For You
The For You tab shows you all the activates you can do, personalized and delivered directly on your screen. View different ways in which you can enrich your day, read about them and add them to your task list if you want.
Explore
Explore tab gives you all the ways you can add to your daily experiences. Want to inculcate a new habit, collaborate on a routine with others or find a completely new activity you want to undertake? Explore tab is where you want to be.
Chat, Goal Sharing
Our chat, Multiverse, built on NodeJS and Express allows our users to share their goals and interact with the community leading to positive reinforcement and an overall better relaxed and happier users.
Arcade Games
Pleasant, short and simple arcade games like Run for Tranquility, 2048 and good old Sudoku are available in app (fully integrated in future versions). This makes the web app the single destination for all your daily needs to help you rewind, relax and rest.
Our Hackcation Journey
Technologies used
Dashboard and Web Application: ReactJS
Chat App: NodeJS, ExpressJS, Sockets.io
Games: React, jQuery, HTML, CSS and Javascript
Inspiration
In these tough times, its 2020, when everyone is having a lot difficulty doing what they had planned for themselves, everyone switching to the virtual world. We thought of a way to build a virtual relaxation centre, where eventually everyone can find something or the other that calms them, takes them out of their everyday chaos at same time keeping them safe where they already are, in their homes. We specifically thought of a website since it should feel like a get away, unlike an app which you would see every now and then.
We too are just a bunch of dreamers like everyone else, planning big things, and have learned to start small, so here is a way to let us help everyone.
What it does
It indulges with you to try to relax you and calm you, to keep a tab on your mental health. Because nothing makes this website more happy other than knowing you are happy and relaxed.
How we built it
This is the usual part you may have read a lot of times, brainstorm, then brainstorm and criticism and brainstorm after which we shifted ourselves to the designing and developing functionalities side by side. We aren't the perfectionists so we kept iterating in an agile way to make the product as perfect as possible for our users.
Challenges We ran into
At first it was about how people are going to forget about their world for some time and get involved to actually enjoy the essence of the experience we are trying to give. That is crucial point when we pivoted from a single application to a set functionalities. Yes, there were a few technical and even non technical difficulties a bit right from crashing software to missing out on a semicolon, but those were the times we learned a lot more, so we won't count them as mere "obstacles".
Accomplishments that we are proud of
Most of us were beginners, who have never worked such a type of hackathon before, and it was an awesome experience, plus managing to develop a market ready product in time crunch would never have been possible with procrastination qualities in humans. We also inherited a lot of knowledge from each other's skill sets. So, overall our major accomplishment can be stated as what our product is thriving to do, making us relaxed, satisfied and happy.
What's next for Play404
We intend to make it a fully functioning free as well as open source product for people that would monitor and improve their mental health, get rid of their stress anxiety etc all of this unknowingly, while they will be busy planning their virtual vacations.
Built With
apis
css
express.js
html
javascript
node.js
react
Try it out
play404.netlify.app
github.com | Play404 | Project built for MLH Hackcation 2020 by Team 404 | ['Japneet Singh', 'Darshika Bansal', 'Utkarsh Sharma', 'Kishoraditya Chaudhari'] | [] | ['apis', 'css', 'express.js', 'html', 'javascript', 'node.js', 'react'] | 22 |
10,403 | https://devpost.com/software/therapy-tunes | Logo
A buddy from Therapy & Tunes is here to talk about your feelings and give you help
Therapy & Tunes gives you activity suggestions and song recommendations based on your mood
Therapy & Tunes website with links to Google Assistant and App Download
Therapy & Tunes on the website
Google Assistant Directory Listing
Inspiration
According to a USC research, sharing your feelings with others reduces stress. But who do you talk to if you want your feelings to be confidential? Have you tried journaling your feelings but it seems ineffective to you without any interaction? Do you just want someone to listen to? In today's day and age, where everyone passes each other with their headphones or airpods in, people have found solace in music, leading to musical therapy being one of the leading forms of therapy. But sometimes when you are in a happy mood or are in the mood for a pick-me-up, scrolling through long lists of songs seems mentally exhaustive. Have you ever wished that you could easily find songs that boost your mood? Are your confidants great listeners but bad singers? We invite you to try Therapy & Tunes, a musical therapy based mental health chatbot.
What it does
Therapy & Tunes is a mobile application to help you stay calm. Everyday Therapy & Tunes asks you about your day and feelings. They are always here to listen about your feelings and even suggest activities and resources for you. When asked for song recommendations based on mood, it also recommends you some songs. Therapy & Tunes also gives you fun activities to do
How we built it
Frontend:
The app was created using React Native along with Expo and Gifted Chat to implement the chatting ui and connect to dialogflow. The accompanying website was made using React and Kommunicate to get the Google assistant skill.
Song Recommendations:
We researched on how songs for different emotions have different levels of track analytics like acousticness, energy, instrumentalness, key, mode, speechiness, tempo, and valence. We then used Spotify’s web API which uses a machine learning model to find songs based on track analytics and similar to a seed track.
Backend:
The backend was built using Node.js and Express along with the Spotify API to authorize the app and get the access token. The conversation handler was built using JavaScript and Node.js and incorporated directly onto the frontend code for efficient use of resources.
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 provide information to the conversation agent.
DevOps:
We used GCP Firebase to host the website. The server was deployed using Google App Engine. We used Google Cloud Storage to store the app builds and connect it to the website for users to download.
Challenges we ran into
We ran into some challenges implementing the spotify web api, specifically getting the access token. Traditionally, this API requires user authorization. However, we felt that this wasn’t required for the scope of our app. After a lot of hits and trials, we found a package wrapper which we used to help get the access token. However, this was not browser compatible so we had to create a backend to use this library.
Accomplishments that we're proud of
We are proud of creating a finished product which was our goal for this weekend. We are also proud of creating an app that benefits us as musical fans still getting acquainted to living in solitude during this pandemic.
What we learned
This was our first time connecting conversational bots to a client code and using an authorization based API. This taught us how real-time socket based app conversations work and how to manage bi-directional flow to data. We also learnt how user authorization flow works in services dealing with sensitive user information. This was our first time using headers in making API calls and we learnt the importance of having the correct headers. We also learnt how cloud configurations work and using pre-configured cloud service in the client side of the app.
What's next for Therapy & Tunes
In the future, with more time and user research, we would like to have more full fledged conversations.
We would also like to send users daily notifications to remind them to self-reflect on their emotions.
With the addition of user profiling and database, we would maintain a daily journal of user’s emotions.
Built With
dialogflow
express.js
firebase
gcp
google-app-engine
google-assistant
google-cloud
javascript
kommunicate
node.js
react
react-native
Try it out
github.com
hackcation-ortbgm.web.app
storage.googleapis.com
assistant.google.com | Therapy & Tunes | A musical therapy based mental health chatbot | ['Saloni S', 'Reshmi Ranjith', 'Megan Tran', 'Vincent Vu'] | [] | ['dialogflow', 'express.js', 'firebase', 'gcp', 'google-app-engine', 'google-assistant', 'google-cloud', 'javascript', 'kommunicate', 'node.js', 'react', 'react-native'] | 23 |
10,403 | https://devpost.com/software/automatic-sentimental-analyzer | twitter
Text and comment based
Inspiration
The inspiration for building this came form amazon.com i was just scrolling through amazon and saw that there where various columns from good to bad reviews so thought of making something with that and hackathons are the best place to invent and make progress.
What it does
The automatic sentimental analyzer takes user data from twitter and then compare the tweets and sort them out into positive, negative, and neutral feedback.
How I built it
I used tweepy to do web scraping of the data the used NLP libraries to sort them out according to there polarity and subjectivity according to which I was able to differentiate that the tweet was positive or negative
after that, I saved the model and integrated it with Flask to make an API of the same
later I deployed the API on the google cloud platform and Eureka the project was ready
Challenges I ran into
Web scrapping as twitter does not allow people to perform web scraping that easily so I was forced to go through there policies and then learn about Twweepy.
I was also able to learn about NLP that is Natural language processing that was a bit new thing for me
What I learned
I learned about how to deploy models on Google cloud platforms and how to make a flask API on the same.
I also learned about NLP that is Natural language processing that was a bit new to me
What's next for Automatic sentimental analyzer
To integrate it with e-commerce website to have a good customer review system
Built With
cloud
gcp
google
natural-language-processing
python | Automatic sentimental analyzer | Automatic sentimental analyzer for customer review system using Twitter and more. The Main idea is to provide customer with a best product. | ['shantam sultania'] | [] | ['cloud', 'gcp', 'google', 'natural-language-processing', 'python'] | 24 |
10,403 | https://devpost.com/software/plan-my-staycation | Companion website with links to resources for each activity
Inspiration
The goal of this project is to relieve some of the "cabin fever" caused by recent events.
What it does
Plan My Staycation is an Amazon Alexa that plans a
Stay At Home Vacation
for those needing a break from the monotony of the current "stay at home" lifestyle. When you ask it to plan your staycation, Alexa will cheerfully plan you an itinerary of at least 3 activities that can be done at home throughout the day. From the
companion website
you can find links to resources for all of the activities Alexa had planned for you (and more).
How I built it
This project was built primarily using the Alexa Skills Kit through the Amazon Developers Website. The skill is Alexa-Hosted using Python, meaning that most of the code was done within the Alexa Developers coding environment.
The frontend of this skill is based upon an Interaction Model where the user "converses" with Alexa. I coded 6 different "Intents" which allow Alexa to respond to various commands. Building the frontend also consisted of creating a dialogue model that felt natural to interact with. The backend of this skill contains the logic of the program. Each "intent" defined in the frontend needs a "handler function" in the backend, which was coded using Python. At the end of each Handler, Alexa knows to ask the user what they want to do next.
The companion website for this skill is fully responsive and was built using a template based on html5. I ran into some formatting issues with the template which were eventually resolved, and added some additional CSS animations to the frontend.
Challenges I ran into
I had never created an Alexa Skill before this weekend, and spent the first part of the hackathon reading through documentation and watching the developer training sessions on YouTube. I finally started understanding the terminology and process by the end of the first hackathon day, but realized I may not be able to incorporate all the features into the skill as I would like.
Some other challenges included:
Incorporating GitHub even though most of the coding was done through Amazon's own coding environment
Figuring out how to host domain on Netlify
Accomplishments that I'm proud of
Built a custom Alexa Skill from start to finish
Pushed myself to use Python even though I'm not well-versed in it
Built a project I'd use in the future
What I learned
Learned how to read through documentation and incorporate what I learned into a program of my own
Learned how to use hosting services like
Netlify
to host domains from Domain.com
What's next for Plan My Staycation
Officially publish Skill to the Alexa Store
Incorporate the Eventbrite API to include events from a specific day
Add the option to send user a text/email with a list of suggested activities and links
Built With
alexa-skills-kit
amazon-alexa
echo
html5
python
Try it out
www.planmystaycation.online
github.com
vibrant-feynman-f7ccc7.netlify.app | Plan My Staycation | Your greatest vacation may be waiting in your backyard | ['Erika Yoon'] | [] | ['alexa-skills-kit', 'amazon-alexa', 'echo', 'html5', 'python'] | 25 |
10,403 | https://devpost.com/software/my-cheat-day | Form
Restaurents
Values
Features
Details
Details-Fish
List
List-data
Restaurent's menu
Restaurent's pics
Home
Inspiration
Have you ever been waiting to follow a particular routine diet plan during say short-planned workouts, or long-workouts or even during daily basis. All the experts suggest you take in some specific amount of nutrients, calories,etc.. But most of the diets would need you to give up your favourite food items or may need to do a lot of research and googling to find out food you can intake based on restriction. This can be absolute waste of time and have happend a lot with me.
Sometimes we may end up being confused and give up diet plans. So to overcome this and make our diet lives easy we have introduced My Cheat Day.
What it does
My Cheat Day is aimed to make your everyday diet a cheat day by allowing you to get your favourite food recipes and health info about it without compromising on the restrictions user has in mind. This helps not only people who follow some diet but also people who go out for work, stay in some motel and want to have their diets prioritised without compromising favourite food. In spite of this we help users by getting them detailed info about food, ingredients, calorie intakes, health labels, diets it follows, etc.. People may be busy with work and dont have the option to make their favourite food can just use the restaurants option to get details of all nearby restaurants offering the favourite food and they can take a decision accordingly.
How I built it
I used React js for the complete purpose. I used Edamame API for food related info and Zomato api for restaurant info. I uploaded the website to Heroku and then used domain.com to host website there.
Challenges I ran into
This is my first react project and i had only started to learn react from last 3 days. So dealing with components, API calls,etc.. were headache first but now learnt how to accomplish them.
Had bit problem with Heroku deployment but mentors helped with the task and could complete with ease.
Accomplishments that I'm proud of
Making a react js project completely for first time is something im feeling great. Now it makes me more interested to learn more about it.
Understanding deployment of js applications to website.
What I learned
How to code in React by using its features like component,fetch,etc..
How to use api calls in js
Learnt about curl,fetch,axios and api providers like rapid api, etc..
How to use Edamame api and zomato api to build interactive applications.
What's next for My Cheat Day
Next i am planning to make it personalised so user can login and make diet plans. So he/she can refer to it any time.
I also plan to make it into mobile version using react-native. Planning to learn that soon.
Built With
api
bootstrap
css
domain.com
edamam
heroku
html
javascript
react
zomato
Try it out
my-cheat-day.herokuapp.com
mycheatdayis.online
github.com | My Cheat Day | My Cheat Day is an web application that tends to help make your diet plan with your favourite food. It is flexible by letting you know health data and also nearby restaurents that offer that food. | ['Siddharth M', 'Rafi Rasheed T C'] | [] | ['api', 'bootstrap', 'css', 'domain.com', 'edamam', 'heroku', 'html', 'javascript', 'react', 'zomato'] | 26 |
10,403 | https://devpost.com/software/maskon-0p19wl | Our product logo
Download and Info Page
Making Live Predictions with Mask On
Inspiration
With the current coronavirus outbreak, businesses struggle to handle the economic toll of increased operational costs through sanitation and reduced business. A large concern of a business owner is the risk of their store becoming a “Hot Spot” for coronavirus cases. Dozens of studies have proven that the simplest way to reduce the risk of Covid-19 is to simply:
Put your Mask On!
So we set out to create a software solution that works with existing security cameras to make sure that customers were wearing their masks.
How it Works
The user experience starts with the
tkinter windows application
we have created. Individual frames are extracted from the live video feed from the webcam. These frames are reshaped, resized, and converted to a (256, 256, 3) byte array. The byte array is passed to the predict method of a
Convolutional Neural Network.
The results are then overlain with the video-feed and displayed.
How we built it
The
core
of our project was the Convolutional Neural Network designed in python with an open source Machine Learning tool called
Tensorflow
. A Convolutional Neural Network is a special class of NN with the unique ability to recognized features of data that has a structure where adjacent values can be grouped together (like an image!). In our Convolutional Layers we passed a few dozen "filters" over the image to detect different features of the image and then passed those filtered images to a Deep Neural Network. After forward propagating the network will converge to a single value ranging between 0 and 1 indicating the predicted class and the confidence in that predication.
The Data:
In order to train our CNN we needed to have a significantly large classified set of images of people wearing face masks and not wearing them. We found a large open source face mask
dataset
on Github. To further increase the generalizing abilities of the CNN we web-scrapped some tougher images to classify and added them to the dataset.
During training we used a technique called Image Augmentation, where we apply various transformations (zoom, skew, change saturation, etc.) are randomly applied to images in the training set; this allows for the neural network to learn image features even with significant distortion allowing it to better generalize to the variety of cameras and video capture devices.
What's next for MaskOn
We would create a version of this project that works with tf.js to allow for a web experience. We could also create a REST API to allow for other services to detect if a customer is wearing a mask; this could be used for automated door that only allows mask wearing customers in.
Built With
machine-learning
openv
python
tensorflow
tkinter
Try it out
github.com
putyourmask.online | MaskOn | High Accuracy Live Face Mask Detector | ['Pranish Pantha', 'Maanav Singh', 'Aarush Sharma', 'Catherine Denis', 'Kabir Pathak'] | [] | ['machine-learning', 'openv', 'python', 'tensorflow', 'tkinter'] | 27 |
10,403 | https://devpost.com/software/brain-dump-izd71t | Brain Dump Logo
Brain Dump Tech Stack Diagram
Inspiration
It always feels like we have more things we need to remember to do and to keep track of, which creates large amounts of stress during our everyday lives. This stress is especially felt while trying to fall asleep, and is one of the main causes of insomnia.
Often, however, systems for note-taking and remembering, such as bullet journals, spreadsheets, and todo list apps are complex and time-intensive to use, which just adds to the stress they are meant to relieve.
Brain Dump allows you to simply pour your thoughts and worries out into one app, where you can easily access them again from anywhere, any time, on any device.
What it does
Brain Dump is a cross-platform app designed to relieve that stress through easy to use user interfaces that allow you to record everything you need to remember, and no longer need to worry about remembering everything.
Through an Alexa Skill, you can record your thoughts, even when your hands are busy. Then, you can organize and manage everything on our cross-platform Flutter app, which runs natively on your phone, desktop, or the web. Our apps allows users to easily keep track of what is going on in their lives, rather than just adding another complex and hard to use system to their already busy lives. Brain Dump uses intuitive user interfaces to relieve stress, rather than creating more.
How we built it
To begin with, we selected two main platforms for the front end. We built our web/mobile/desktop app in Flutter, and we built our smart home component for Amazon Alexa. These services allow our app to run on pretty much every device that people have, anywhere, so there are no accessibility issues with getting the data. The whole point of the app is to reduce stress, we don’t want the user to always need to come back to a single device to reduce their stress! We also started working with Google Assistant at the end, but we didn’t have enough time to get that fully integrated.
From there, we next built out our database architecture using Google Firestore. This serves as the central connection point for all data throughout the app that is coming in or out from any device or interface. We then built a wide range of central database functions on top of the database as basically our own internal library, so that the database actions are identical regardless of the requesting device.
In between these two layers (the front end and the database), we used Google Cloud Run to stand up a serverless Application Programming Interface (API) for each and every device that we support. These can range from a single massive function that handles all Alexa Skill responses, to a complex web of endpoints, helpers, and pass throughs to provide diverse and versatile functions in the Flutter app. Then, it just became a matter of connecting the front end to the associated API, which passed the data to the database, and everything was ready for use!
Challenges we ran into
This was our first time ever working with Alexa skills, or smart home devices in general, so the start of the hackathon was spent learning how Alexa skills worked. One challenge that we had was using Firebase Cloud Functions to run the Alexa skill, rather than AWS Lambda functions. This meant that we couldn’t directly follow the tutorials, but having all of our code hosted through Firebase between all versions of the app made it worth it.
We wanted to try supporting Desktop Applications using Flutter, and so we found out when setting everything up that Desktop Applications aren’t even available in the developer package (bleeding-edge distribution) of Flutter. If you want to compile to a desktop app, you need to be running the code directly from the master branch of the Flutter GitHub. Consequently, when it came time to connect to our database, there were exactly 0 libraries that supported compiling to desktop, so we kind of needed to build our own round-about method. This led to a lot of trial and error and troubleshooting with the data formats, as we were using Dart on one side of the connection, and TypeScript on the other! In the end though, we got it working, and we’re really happy about that.
We also had a very wide range of input devices and systems for Brain Dump, and so we needed common database handlers that would work for all devices, no matter the data format that we are getting. To do this, we first started by writing a cross-platform set of standard database functions, then we built out and exposed the same functions in different endpoints (depending on the device). This ensured that if we updated the database structure, all of our code for each of the devices would receive the update at the same time to avoid data mismatches and rewriting the same code for each device.
Accomplishments that we're proud of
We had a lot of firsts for this hackathon, like our first Alexa skill, and first native Windows app, but despite that we still managed to complete all of the main features that we wanted to. In addition, we’re really proud of how seamlessly all of the devices interconnect and share data, so this can truly be a cross platform service for however users want to access and interact with Brain Dump.
What we learned
This was our first time creating an Alexa Skill, and we learned a lot about creating VUI experiences. It turns out that collecting generic strings of text from the user (for the notes) creates problems creating compound commands, because we can’t tell when the user is done. We ended up needing to separate the creation of notes and tags from one command to two, and learned about conversational design.
This was our first time using Flutter for either Web or Desktop, and so we learned a lot about Flutter in trying to get that set up. It turns out that desktop is still so new that you need to run Flutter from the master branch of their GitHub, you can’t even run it in their developer bleeding edge download. As a result, we had to implement a lot of database connectivity that we usually use a library for ourselves, and we learned a lot about Dart vs. JavaScript data types, and some of the best practices to ensure connectivity between different systems.
This was also our first time running Queries in Firestore. We’ve used Firestore extensively in the past, but only ever when we knew exactly where the data was that we needed. This time, we needed to run multi-step queries to things like filter by tag or rearrange the items to get the database to reflect the changes we made in the Flutter app. In the process of setting that up, we learned a lot more about not only Firestore Queries, but how NoSQL databases are structured and indexed behind the scenes.
What's next for Brain Dump
When we first started developing, we prioritized one platform as having each feature first so if we didn’t have time to finish everything, at least one device worked for everything we wanted to show. In the future, we’d like to work on filling in some of the gaps between what each device can do, to provide a seamless experience for the user across all platforms.
In addition, we’d like to work on adding some more complex features like tag color coding, and self sorting based on priorities assigned to different tags (as opposed to just the last modified almost always moving to the top).
Built With
alexa
firebase
flutter
Try it out
github.com | Brain Dump | Unburden your mind and relax. | ['Nathan Dimmer', 'Andrew Dimmer'] | [] | ['alexa', 'firebase', 'flutter'] | 28 |
10,403 | https://devpost.com/software/musicspeaks-tech | MusicSpeaks.tech-Home Page
Meet the Creators-MusicSpeaks.tech
Home Page-Last Moment Store
Best Selling Books-Last Moment Store
Inspiration
Vacation was the inspiration so we decided to make a software that can plan, book, give virtual tour to the user and can entertain the user on a single platform
What it does
MusicSpeaks.tech lets the user to plan, book, schedule a vacation, get a virtual tour of the planned location and also lets the user to entertain himself using a portable piano made using Arduino UNO using a same platform. Also this project lets the user to order essentials on the spot which can be delivered within a day!
How I built it
The main website was built using Bootstrap studio
The Last Moment Store was made using wix.com.
The portable piano was made using Arduino UNO.
Challenges I ran into
Different Time Zones: Everyone in the team belonged to different country so to work on the project at same time was difficult. So, we decided to divide work among every teammate.
Bootstrap studio was difficult for me to work because of lack of Experience building the website.
Accomplishments that I'm proud of
Got to work with teammates across the world and got to know about their culture.
Used Bootstrap Studio for the first time so I got to know more about website development
What I learned
Teamwork
Used Bootstrap Studio for the first time so I got to know more about website development
What's next for MusicSpeaks.tech
Deploy an android app so that it would be easy for the user to use
Tie Up with the local stores so, we can provide users one day delivery.
Built With
arduino
bootstrap
css
html
javascript
wix
Try it out
hkhrapps.wixsite.com
keshavmajithia.github.io | MusicSpeaks.tech | Vacation is a breeze with MusicSpeaks.tech! | ['Keshav Majithia', 'Naseeb Dangi', 'Min Min Tan'] | [] | ['arduino', 'bootstrap', 'css', 'html', 'javascript', 'wix'] | 29 |
10,403 | https://devpost.com/software/simply-bliss | Logo
Mountain Pose Yoga
Tree Pose Yoga
Inspiration
In our day to day life we have become so busy that we have forgotten to live for ourselves and give time to relax our brain and body. So, we come up with the idea to remind and inspire people to do some self care whether it be through music, meditation or yoga, our app has it all!
Especially, with the ongoing public health crisis caused by COVID-19, this app is needed more than ever. With most of us stuck at home our mental health can quickly deteriorate, so, an app like this is important to remind ourselves to take a little break and destress.
What it does
Simply Bliss is a Mobile App, it gives us an escape from our stressed life. On this app, users can listen to music and select playlists based on their current mood, they can also choose from a variety of relaxing activities to partake in. Simply Bliss also helps users meditate by telling them how to get started and which type of meditation they want to do. On top of this our app has an amazing feature to keep users physically fit, this feature uses a ML model to help users do yoga by telling them what yoga poses we to do and if their form is correct.
So, whether you are looking for some relaxing music, a destress activity, mediate or do yoga, our app has it all. Users can enjoy all these features with a click of a button and from the comfort of their homes.
How I built it
Flutter for Mobile app Development
Teachable Machine for Classification of Yoga Pose
Challenges I ran into
Since this hackathon was virtual one of the challenges we ran into was time zone differences, but our team did a great job of communicating via Discord to tackle this challenge!
Accomplishments that I'm proud of
We are proud of learning new skills, and creating a fully functioning mobile app. Most importantly we’re happy that we were able to create an app that could potentially help others when they are going through a stressful time. Especially with the current condition of the world there are a lot of things out of our control that we tend to stress about so having the ability to help someone feel more relaxed/destress is something we are proud of.
What I learned
We learnt a lot of new tools, since our android app was built in flutter not only did we learn about the flutter framework but also learnt Dart, the programming language flutter uses.
What's next for Simply Bliss
Make our UI more interactive
Implement a notification system
Built With
dart
flutter
machine-learning
tensorflow
Try it out
github.com
docs.google.com
teachablemachine.withgoogle.com | Simply Bliss | A blissful escape! | ['Haripriya Baskaran', 'Pratyush Patwa', 'Ayesha Khalid'] | [] | ['dart', 'flutter', 'machine-learning', 'tensorflow'] | 30 |
10,403 | https://devpost.com/software/vacation-space | Inspiration
We wanted to create a holiday from home, for people to get away from the confines of lockdown. A game was also created as a way for people to relax, and a way to push our skills.
What it does
This website takes you to a relaxing sound environment based on your current mood. The website asks you to select your mood and takes you to appropriate options based on your response. The website also features a java mini game.
How our team built it
We used html and CSS to build the website with some help from bootstrap, and the game was created as a java app. We used ambient mixer to create the sound environments. For the web server we used tomcat 7.
Challenges our team ran into
Between the group we faced a wide array of challenges. I was having issues with running java on my computer whereas some others couldn't see any CSS formatting, but the team worked well to manage these issues.
Aside from that, I had some issues with the spacing on the home page being a bit off and in the final version the background for the emotion page should be blue but it is white. In terms of the minigame there were some issues trying to use java web start so we settled with just having the user download the jar directly. As well, there was an issue getting the jar to properly load the required images.
Accomplishments that our team proud of
We are proud that we managed to put this project together in a short amount of time, especially since the team was split between 2 time zones with a 5 hour time difference. I am proud that I built my confidence with html and CSS.
What our team learned
We learned how to put external links and games into a website, We also improved my skills with GitHub drastically.
What's next for Vacation Space
It would be nice to add more emotions to the website and more sound environments to choose from. We would also like to add more games to the website.
Built With
bootstrap
css
github
html
java
tomcat7
Try it out
vacation-space.herokuapp.com | Vacation Space | Vacation space takes you to a relaxing environment based on your current mood. | ['shanna balfour', 'Yunseon Lee', 'John Amiscaray', 'Steven Rose', 'Holly Groves'] | [] | ['bootstrap', 'css', 'github', 'html', 'java', 'tomcat7'] | 31 |
10,403 | https://devpost.com/software/gurucool | Quizes and Creative Corner
Dashboard
COVID-19 Glimpses
Login Page
Career Coach
GuruCool
link for website
link for demo
THEME :
It is a project based on EdTech. A man without education is like a building without Foundation. During this pandemic, it has become difficult for many students to get access to education. But this website is a complete solution to that problem which helps students to learn and grow. 👩🎓👨🎓
AIM :
To make learning more interesting.😊
RELEVANCE:
Due to covid-19 pandemic health crisis, all schools and colleges are closed. Teaching and learning assessment are now conducted online and students suffer from stress and anxiety but our website is the platform where students and teachers can interact and continue their studies with amazing style and also enjoy weekly quiz and completion of creative skills like singing, dancing, gaming, drawing, crafting etc.This website also encourage entrepreneurship among students so that they can confidently present their ideas and thinking.A place where one can build his/her self confidence.
Inspiration
Our fellow companions were facing many difficulties during this pandemic. This inspired us to complete the project.
What it does
It is a website for students which has a lot of features.
The features we want to include are:
It will have different classrooms for different subjects in which teachers can assign work to the students and can send link for meetings without giving their phone numbers.
Teacher's can mark attendance of the students and students can check their daily attendance from there. 👨🏫👩🏫
There will be different channels in that website which includes the following :
Creative Corner for students so that they can participate in them, which includes painting competitions, singing competitions, drama, crafts, article writing, etc for their development. 😎
A Career Guide/Coach in which they can see various career options after 12th. 📈
A Test which help them to decide that what stream they should choose after 10th.
Resources section in which user can find resources/study material of various subjects. 📚📖
Syllabus section which contains syllabus user have to cover. 📑
Timetable organizer for user's time management. ⏲⏳
Doubts section, where user can ask doubts. ❓❔
How we built it
we used following technologies:
HTML, CSS, JavaScript, echo AR, j-query, GitHub pages
Challenges we ran into
We faced many challenges in making the login page. We were thinking of adding many features but we were unable to do so due to time constraints but we will improve it.
Accomplishments that we're proud of
CREATIVE CORNER
: We made this section to provide students a chance to participate in various competitions and thrive on their own terms and push their intelligence to its limit and grow. 🌈
CAREER GUIDE
: This section is to provide guidance to students about necessary steps that should be taken for heading them towards a bright future.
It was really fun designing and drafting these sections of our project. 📈❌✔🤔
COVID-19 Glimpses
: for creating awareness about the Corona Virus Disease.
3-D CLASSROOMS
: A classroom which uses Augmented Reality for creating 3-D models so that students can better understand the concepts.👨🏫
What we learned
we learned many about many new technologies such as Echo AR, Tawk.to chatbots etc. We also learned how to work in a team and time management.
What's next for GuruCool
For now it is completely based for 1-12th class students we can further make it for college students.
by including tech competitions, daily challenge problems, coding materials etc.
Built With
css
echo-ar
github
html
j-query
javascript
Try it out
github.com
purple-bit-logic-hackcation.github.io | GuruCool | Committed to Excellence in Education for making world a better place. | ['Ankita Basera', 'manisha creative world', 'Naman Goel', 'Aayushi Mittal'] | [] | ['css', 'echo-ar', 'github', 'html', 'j-query', 'javascript'] | 32 |
10,403 | https://devpost.com/software/mask-notifier-app | //
Built With
android
firebase
geo-fence
google-cloud
google-maps
maps-api | Masker App | Get automatically notified | ['Nitish Gadangi'] | [] | ['android', 'firebase', 'geo-fence', 'google-cloud', 'google-maps', 'maps-api'] | 33 |
10,403 | https://devpost.com/software/styleme-85fquo | Main Screen
Photo Taking
Confirmation
UserProfile
Inspiration
Starting out as freshman in college a year ago we realized that we did not have a lot of time to spare and found ourselves really busy. At the same time we all wanted to dress good and go to classes. Selecting the correct outfit takes a lot of time and effort and most people do not find the time to do so. They want to look good but also do not want to spend too much time. In order, to reduce the time they would have to spend we automated the process of matching the top and bottom leading to them being able to check how their outfit looks by just swiping through the available options and without having to wear it physically. The time saved can be used for other activities on the college campus.
What it does
The application functions as a virtual wardrobe, where you can upload images of your own clothes, (currently supporting tops and bottoms for men), where you can mix and match clothes to find the style that suits you the best for the occasion and weather. Having a huge wardrobe can be difficult to find the proper clothes that go together, so this application can be used to quickly and efficiently find the pairs of clothes that go well together so you can go on the rest of your day without a worry for how you stand out with respect to social norms, especially when you lack fashionable knowledge.
How I built it
We used the cross platform mobile development framework Flutter and programming language of dart. Additionally we used the image_picker, gallery_saver, and camera plugins offered by dart in our app.
Challenges I ran into
Due to the steep learning curve we had to face, we ran into many roadblocks. Integrating the camera, saving the image into the phone gallery and calling the folder path to display the individual images on the user interface were the few main challenges we faced.
Accomplishments that I'm proud of
We managed to teach ourselves camera integration in flutter and apply it for our app. In a span of two days we went from having beginner level skills in the flutter framework to intermediate level skills. Lasty, we are also proud of being good team players and team leaders.
What I learned
Considering most of our team didn’t know anything about flutter we learned how to use the Flutter SDK and the Dart programming language especially their plugins. We have also learned how to navigate the Visual Studio Code and Android Studio IDEs as well as collaborate on Github by making multiple branches.
Apart from the technical skills, we learned team coordination, team leadership and gained communication skills.
What's next for StyleMe
In the immediate future we plan on adding more room for other clothing accessories such as shoes, hats, etc and add a functionality to take in the height, weight, and skin tone of the person.
We would also like to add the feature to share the outfit to friends and receive from them. This also gives us the opportunity to set up achievements based on the number of likes and outfits the person makes and sets up friendly competition.
Another significant feature that we would like to add to the application in the future would be dirty clothing analysis. If you choose the option to select a pair of clothes, then the option automatically gets stored away, representing the clothes to be “dirty.” Once the user has done his actual laundry, they have the option to restock their entire wardrobe.
Another interesting feature we would like to add is the on-the-go option, giving the user the opportunity to take a picture of any item of clothing that they see in a store and match with their existing wardrobe to see if it matches, this helps them make a decision to buy it or not.
The next tier of our application would be adding image detection and clothing recommendation code that will depend on machine learning and will recommend pre-made outfits to the user based on their current wardrobe.
Lastly, we plan to use this same algorithm to recommend more articles of clothing for the user to buy based on their current wardrobe and style trends
Built With
camera-plugin
flutter
Try it out
github.com | StyleMe | Mix and Match your wardrobe clothes and make yourself more fashionable | ['Varun Joshi', 'Bharath Meruva', 'Karthik Vinnakota', 'Karthik Mohan Anandaselvan', 'chandrahas nanduri'] | [] | ['camera-plugin', 'flutter'] | 34 |
10,403 | https://devpost.com/software/peoplecounter | Front end demo
BeachWatch
This is a multi-paradigm Hackathon project created by Michael Green and Shane May for the 2020 MLH Hackcation hackathon. There are several pieces which collectively form this project: The computing module, the uploader, the microservice, and the front-end.
What it does
The suite accomplishes multiple tasks:
1) It collects live video data from youtube.
2) It executes object detection on still images so to count the number of people at the beach.
3) It sends the object count to a google cloud microservice which hosts the data.
4) It provides the user of the website relative populations of the beaches, with the option to see the live feed directly.
How we built it
Michael developed the computing module and web scraper, Shane built the front-end, and we collectively worked on the microservice.
Challenges we ran into
We originally wanted to have the computing and data collection engine runnning on the google cloud service as well, but we were unable to come up with a means for rendering the youtube image data non-locally. We settled to run the collection and detection locally and simply push the results to the microservice.
Accomplishments we're proud of
Overall we were able to generate a functional website that accomplished the task we set out to achieve. We learned how to use google cloud to host our Flask instance, which was a first for both of us.
What we learned
Michael: I learned about tensorflow-hub and how to implement their pre-built models, and how to host web services in the google cloud. This is something I've always wanted to pick up and am happy to have had the opportunity to try out the GCP here.
Shane: I learned how to use Flask and Docker for developing back-end services in google cloud. It was an awesome experience!
Additional information
Computing Module
The computing module is a pip-installable Python library which integrates the pre-trained Inception Resnet model from tensorflow-hub into a class object which allows for image object detection. For beach watch, images of beaches are fed to the class object which counts the number of people objects within the image and returns the count.
Uploader
The uploader is a python script which automates a local instance of google chrome. This automated webbrowser queries a set of youtube links which route to live webcam streams of a set of beaches. Once queried and buffered, the uploader takes a screenshot. Each screenshot is them passed to the computing module, which returns the number count. This and other ancillary information is finally passed to the microservice hosted in the google cloud.
Microservice
The microservice is a docker/flask instance hosted in the google compute engine. The instance receives get requests at a designated URL from the uploader, and updates the internal hashmap pertaining to the specified beach. This hashmap is subsequently queried by the front-end when the website is loaded.
Frontend
The frontend is the static webpage hosted at
https://1mikegrn.github.io/PeopleCounter
with the associated HTML file located in the
docs/
folder of this repository. The webpage pings the microservice for the available data and parses it out to a user interface. The front-end also displays the original live youtube feeds when requrested by the user.
Built With
html
jupyter-notebook
python
tensorflow
Try it out
github.com | BeachWatch | Applies Machine Learning to determine how crowded the beaches are | ['Michael Green'] | [] | ['html', 'jupyter-notebook', 'python', 'tensorflow'] | 35 |
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