Date:
Mar 18, 2025
Author:
Ibrar Yunus
001
Research
Exploring yoga pose recognition through computer vision and real-time analysis. BlackLotus uncovers body landmarks and movement patterns, creating intelligent foundations that deliver precise, encouraging feedback for practitioners.
What's included:
Pose detection for Downward Dog, Tree, Plank, Warrior
Real-time form analysis and corrections
Vision model trained on diverse yoga datasets
002
Experiment
Translating AI models into interactive coaching with clarity, encouragement, and scalability. BlackLotus evolves beyond basic detection, generating personalised feedback that adapts to user progress and style.
What's included:
Live feedback with friendly voice prompts
Multi-person group monitoring capability
ASMR-style guidance using Gemini 2.5 TTS
003
Refinement
Deploying production-ready systems with precision and user focus. BlackLotus refines pose accuracy, voice synthesis, and app integration for seamless yoga experiences across devices.
What's included:
Daily AI-generated yoga class sequences
Cloud deployment for multi-user sessions
Performance optimization for mobile cameras
004
Next Steps
BlackLotus AI will expand into a full app with personalised routines, community features, and comprehensive pose library. Test videos from Pexels, music by SigmaMusicArt (Pixabay).
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