Overview
A personal yoga application was developed, integrating Machine Learning to provide users with personalized guidance and real-time feedback. The app analyzes users’ movements through ML-powered algorithms, offering corrective instructions to ensure accurate alignment with yoga poses. This allows for a more tailored and effective yoga experience, catering to individual fitness levels and goals. Designed to help users maintain or improve their physical and mental well-being, the app combines convenience with precision, making at-home workouts more engaging and results-oriented.
The app uses real-time movement analysis to ensure users perform yoga poses with proper alignment, enhancing both physical and mental well-being. My role focused on implementing ML algorithms to provide accurate, customized feedback based on user performance.
Year Accomplished
2023
Technology
- Tensorflow
- Kotlin
- Github
- PyCharm
- Django
- Swagger
- GCP
Publication Link
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