As COVID-19 ravaged the world, people were told to isolate themselves, and stay inside. Many people started working from home. People started working in their beds, couches, and kitchen tables, often sitting for hours at a time without any breaks, causing many neck and back issues due to bad posture when sitting in those positions. We want to help correct that.
What it does
Ensures that your posture is correct and encourages you to do some stretches given a timer,
How we built it
Our application is really lightweight and built using electron.js, which means that our application can also run on your browser. We make use of ML5 on Tensorflow.js for our machine learning base, and we used Photon as a basis for our UI.
Challenges we ran into
We initially had difficulty in connecting the two neural networks to our electron application. We handled it step by step and worked through each view. This way we were able to make it work eventually.
Accomplishments that we are proud of
We are proud of building this application in 24 hours and making it fully functional within this timeframe. We are also proud of having a great developer coordination / collaboration.
What we learned
This was the first time all of us worked on an electron project, but more importantly, with machine learning. We learned a lot about classification, which allows us to take inputs, specifically our body points, and use that to predict whether or not you have good posture. We've learned a lot about Machine Learning, and how to set up Neural Networks and this hackathon was fun and a great learning experience.
What's next for neckTech
This project is fully extensible and will include more exercises and help support seating ergonomics in different ways. After this hackathon, we’d like to work on fine tuning our models and make it available for all students and employees around the world who are now working online.