The problem Yogify-Me solves

With increasing cases of COVID 19, the world has come to a halt. Public places have been shut to avoid large gatherings. One such place is Gym, which has made it difficult for so many people to keep up with their fitness. Due to the unfortunate position of isolation, people are struggling with various health-related problems such as obesity, irregular sleep patterns, eye strain, mental stress, decreased immunity, and hence, are at a higher risk of getting infected with the Coronavirus. The impact of staying fit is huge and it helps to be sane with all the stress people have..

With the help of tensorflow, we are able to estimate the user’s pose and compare it to the ideal pose to generate an accuracy score which helps the user determine if they are doing the exercise or asanas the right way or not.
This eliminates the need for any trainer or expert’s intervention to know the correct technique for performing yogasanas and rectifying them. You just need your laptop which has a webcam to run this awesome application! The massive library of poses makes it perfect for everyone, be it beginners or professionals.

Challenges we ran into

1.Improving accuracy of our ML model.
2.Managing context API in react
3.Choosing a suitable deploying enviornment
4.Managing components in our react app.
5.Using Proper session storage system
6.Choosing appropriate layers for our CNN
7.Training our model on google colab.