What it does
Its a web application thats gives you information about the excercises and how to do it . It also provides real-time corrections and counts reps through video analysis.
How we built it
The front-end of the application was made using React and Tailwind CSS. To fetch the excercise info we used Rest Api. We used Tensor-Flow's poseNet Model to get the angles of different part of the body and using those we corrected the proper forms of 2 exercises Sit-Up and Push-UP
Challenges we ran into
The faced some challenges during collaboration. Also Since using tensor-flow was completely new to us we had a difficult time learning it.Working with the proper angles during the excersise using poseNet mode was also challenging
Accomplishments that we're proud of
We are proud that we were able to pull off a completely functional application.
What we learned
We learned how to work as a team and collaborate using git-hub. We also learned how different model works . We learned a lot about tensor-flow and what stuffs can be achieved by it
Built With
- javascript
- posenet
- rapidapi
- react
- tailwaind
- tesor-flow
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