readme_content = """# 🧘♀️ YogaAI Your Personalized Yoga & Meditation Assistant – Powered by AI, Guided by Wellness
-
🤖 AI-Powered Routine Suggestions
Get personalized yoga & meditation routines based on your health concerns using ML models. -
💬 Natural Language Understanding (NLP)
Understands inputs like "I feel anxious" or "I have back pain" and recommends suitable poses. -
🧘 Curated Wellness Plans
Beginner-friendly yoga poses & guided meditations tailored to your comfort level. -
💻 Smooth User Experience
Clean, responsive front-end built with HTML, CSS & JavaScript. -
🔒 Secure Login System
Flask-powered authentication with dedicated login & signup pages.
| Layer | Technology Used |
|---|---|
| Frontend | HTML, CSS, JavaScript |
| Backend | Python (Flask) |
| Database | SQLite + SQLAlchemy ORM |
| AI/ML | scikit-learn, pandas, pickle |
| NLP | Label Encoding, Target Encoding |
``` yogaai/ ├── static/ # Static assets (CSS, images) ├── templates/ # HTML templates (login, signup, homepage) ├── app.py # Main Flask application ├── model.pkl # Trained ML model for yoga suggestions ├── label_encoders.pkl # Encoded input features ├── target_encoder.pkl # Encoded output labels ├── requirements.txt # Python dependencies ├── logo.png # Project logo ```
Follow these steps to set up and run YogaAI locally:
```bash
git clone https://github.com/yourusername/yogaai.git
cd yogaai
python -m venv venv venv\Scripts\activate # Windows source venv/bin/activate # Mac/Linux
pip install -r requirements.txt
python app.py
🔑 Tip: Replace `yourusername` with your actual GitHub username before sharing this repository.
- Add more yoga categories (e.g., prenatal, senior-friendly)
- Improve NLP accuracy with advanced preprocessing
- Add voice input support
- Deploy on a live server (Render / Heroku)
- Build a user dashboard with history tracking
We welcome contributions of all kinds — from bug fixes and new features to design suggestions!
- 🍴 Fork the repository
- 🌿 Create a new branch → `git checkout -b feature/your-feature`
- 💻 Make your changes
- ✅ Commit & push → `git push origin feature/your-feature`
- 📬 Open a Pull Request
This project uses pre-trained ML models:
- `model.pkl` — Core yoga routine prediction model
- `label_encoders.pkl` & `target_encoder.pkl` — For input/output encoding
⚠️ To retrain the model, run the training script with the appropriate dataset (training code coming soon).
✨ YogaAI isn’t just code — it’s a step toward mindful living through intelligent tech.
💡 Star the repo ⭐ if you find it helpful and contribute to its growth!
"""
file_path = "/mnt/data/README.md"
with open(file_path, "w") as f: f.write(readme_content)
file_path