Fitwave is a flutter mobile application that aims to serve as a complete fitness partner. We utilize Movenet, a pose estimation model developed by Tensorflow to extract poses from the video camera feed in real-time. Using these extracted keypoints, the app monitors the posture of the user and visually indicates incorrect form.
- Calorie counter
- Workout planner
- migrate
- Import assets/data_import/exercisedata.csv to table: workout_exercisedata
- Import assets/data_import/fooddata.csv to table: calorieTracker_fooddata
We are looking for ways to improve this project through optimizations or new features. Here's how you can contribute to FitWave:
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request