About
Industry
- Digital Fitness & Wellness
Application Type
- Cross-platform mobile and web app
Core Functionality
- Personalized sessions powered by yoga posture detection AI and real-time posture correction
This wellness platform wanted to move beyond static video classes and offer an experience that feels closer to practicing with a studio instructor. Users needed guidance tailored to their flexibility, mobility and health goals, along with corrections that adapt to their movements in real time. The solution was an AI-guided yoga system that reads the body through computer vision, adjusts difficulty based on performance and tracks progress over time. The result is a personalized yoga app that feels supportive, intuitive and responsive to every user’s practice.
Results
The AI-guided yoga sessions helped users build safer, more consistent routines with measurable improvement.
Better Precision
92% accuracy in yoga posture detection AI
Higher Participation
3 times higher engagement than traditional video sessions
Stronger Consistency
70% improvement in daily practice adherence
Fewer Errors
55 percent reduction in posture-related mistakes
Improved Mobility
40% improvement in flexibility and mobility scores
This AI-powered yoga instructor app development transformed our user experience and helped us deliver truly personalized practice
Challenges
Why It Mattered
Yoga practitioners need personalized guidance that matches their body’s capabilities. AI-powered posture detection and adaptive programs help users practice safely, progress faster, and sustain long-term wellbeing.
Our Approach-
The project began with building a computer-vision spine capable of reading the body accurately and responding in real time.
Our Tools:
AI Models
- MediaPipe
- MoveNet
- BlazePose
- OpenPose
ML Stack
- TensorFlow
- PyTorch
Backend
- Python
- FastAPI
- Node.js
Frontend
- React.js
- Next.js
- Flutter
Databases
- PostgreSQL
- MongoDB
DevOps
- Docker
- AWS Lambda
- CloudFront
Integrations
- Wearable sensors (heart-rate
- breath tracking)
- Video streaming SDKs
Before & After
Replacing one-size-fits-all video sessions with AI-powered posture detection transformed how users practice, progress, and stay consistent.
| Feature / Metric | Before – Traditional Video Sessions | After – AI-Guided Yoga |
|---|---|---|
| Posture Accuracy | Low / No corrections | 92% accuracy with real-time corrections |
| User Engagement | Moderate | 3× higher with interactive sessions |
| Daily Session Adherence | 20–30% | 70% + consistent practice |
| Safety | No injury detection | Preventive alerts for risky poses |
| Personalization | One-size-fits-all | Adaptive routines for each user |
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