No description
- Python 100%
| ai-motion-feedback.md | ||
| ai-pipeline.md | ||
| app.py | ||
| contact-point-detection.md | ||
| full-analysis-workflow.md | ||
| metrics.md | ||
| motion-recognition.md | ||
| README.md | ||
| requirements.txt | ||
| Runnable Prototype | ||
| system-architecture.md | ||
RallyMind AI W2
AI Tennis Motion Analysis Prototype
RallyMind AI is a runnable AI prototype for tennis motion analysis.
This project focuses on validating the technical feasibility of AI-powered sports motion intelligence through runnable Skills and a working Prototype.
Core Skills
1. Tennis Motion Recognition
Detects:
- Forehand
- Backhand
- Serve
2. Contact Point Detection
Analyzes:
- Swing timing
- Contact timing
- Body rotation timing
3. AI Motion Feedback
Generates:
- Motion correction suggestions
- Training advice
- Technique feedback
Prototype Workflow
Video Upload → Pose Estimation → Motion Analysis → Contact Point Detection → AI Feedback → Result Output
Technology Stack
- MediaPipe
- OpenCV
- Streamlit
- Python
- GPT / Gemini API
Runnable Prototype
This repository includes a runnable prototype for AI tennis motion analysis.
Evaluation Metrics
- Motion recognition accuracy
- Contact point estimation
- AI feedback quality
- Workflow completion
Future Direction
- AI Tennis Coach Agent
- Smart Glasses Integration
- Motion Intelligence Infrastructure