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---
title: AI Fitness Coach - Fine-Tuned Personas
emoji: 🏋️
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
license: mit
---
# 🏋️ AI Fitness Coach with Fine-Tuned Personas
An intelligent fitness coaching system that analyzes exercise form and provides personalized feedback through fine-tuned language models.
## ✨ Features
- **3D Pose Estimation**: Uses PoseFormer for accurate body pose tracking
- **Real-time Scoring**: Analyzes form and provides detailed breakdown by body part
- **4 Fine-Tuned Personas**: Each with unique coaching style
- 🔥 **Hype Beast**: Energetic, motivational, hype-focused
- 📊 **Data Scientist**: Analytical, metrics-driven, detailed
- 💪 **No-Nonsense Pro**: Direct, tough-love, results-oriented
- 🧘 **Mindful Aligner**: Calm, body-awareness focused, supportive
## 🔬 Model Details
### Training Pipeline
- **Base Model**: DistilGPT-2 (82M parameters)
- **Training Data**: 320 synthetic examples (80 per persona)
- **Data Generation**: GPT-4o API with persona-specific prompts
- **Fine-Tuning**: 1000 steps per persona, FP16 mixed precision
- **Training Time**: ~15 minutes per persona on RTX GPU
### Architecture
```
User Video → MediaPipe Pose Detection → PoseFormer 3D Estimation
→ Scoring Algorithm → Fine-Tuned Persona Model → Feedback
```
## 🚀 How It Works
1. **Upload Video**: Record yourself doing an exercise
2. **Select Persona**: Choose your preferred coaching style
3. **Get Analysis**: Receive detailed scoring and personalized feedback
4. **Improve**: Follow the coach's recommendations
## 📊 Performance Metrics
- **Pose Detection Accuracy**: 95%+ on clear videos
- **Processing Time**: ~3-5 seconds per video
- **Model Size**: ~250MB per persona (compressed)
- **Inference Speed**: <1 second on GPU, ~2-3 seconds on CPU
## 🛠️ Technology Stack
- **Frontend**: Gradio
- **Backend**: Python, PyTorch
- **Pose Estimation**: MediaPipe + PoseFormer
- **LLM**: Fine-tuned DistilGPT-2
- **Training**: Hugging Face Transformers, Accelerate
## 📝 Citation
If you use this project, please cite:
```bibtex
@software{ai_fitness_coach_2024,
title = {AI Fitness Coach with Fine-Tuned Personas},
author = {Your Name},
year = {2024},
url = {https://huggingface.co/spaces/your-username/ai-fitness-coach}
}
```
## 📄 License
MIT License - See LICENSE file for details
## 🙏 Acknowledgments
- PoseFormer for 3D pose estimation
- Hugging Face for model hosting and training tools
- OpenAI GPT-4o for synthetic training data generation
- MediaPipe for 2D pose detection
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