Yogamrit is a yoga & wellness platform (web/mobile) designed to help users learn, practice, and track yoga routines and mindfulness programs. The project includes guided sessions, program plans, progress tracking, and resources for physical and mental well-being. A platform for user to learn yoga with AR-based camera. It suggests the correct posture with automatic posture detection and correction. Comparison of popular multi-class classification models – DNN, CNN, LSTM, Logistic Regression, Random Forest and SGD.
Short tagline: "Breathe. Move. Thrive."
Model training and results: Kaggle Notebook
Yogamrit provides structured yoga sequences, guided audio/video lessons, scheduling and reminders, and progress tracking to support users in building a healthy, consistent practice. It is built with modularity and accessibility in mind so instructors and contributors can easily add new programs and content.
- Guided classes (beginner → advanced)
- audio cues to check if posture is correct
List the technologies used in the project.
- Frontend: HTML, CSS, JS
- Backend: Flask
We welcome contributions! Please follow these steps:
- Fork the repository
- Create a branch: git checkout -b feat/your-feature
- Make your changes and add tests
- Commit: git commit -m "Add some feature"
- Push: git push origin feat/your-feature
- Open a Pull Request and describe your changes
- Thanks to open-source libraries and contributors