readme_content = """# 🧘‍♀️ YogaAI Your Personalized Yoga & Meditation Assistant – Powered by AI, Guided by Wellness

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🔍 Features

• 🤖 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.

---

🛠️ Tech Stack

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

---

📁 Project Structure

``` 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 ```

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🚀 Getting Started

Follow these steps to set up and run YogaAI locally:

```bash

1️⃣ Clone the repository

git clone https://github.com/yourusername/yogaai.git

2️⃣ Navigate to the project folder

cd yogaai

3️⃣ Create and activate a virtual environment

python -m venv venv venv\Scripts\activate # Windows source venv/bin/activate # Mac/Linux

4️⃣ Install dependencies

pip install -r requirements.txt

5️⃣ Run the Flask app

python app.py

6️⃣ Open in browser

http://127.0.0.1:5000/ ```

🔑 Tip: Replace `yourusername` with your actual GitHub username before sharing this repository.

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🛣️ Roadmap

• 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

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🤝 Contributing

We welcome contributions of all kinds — from bug fixes and new features to design suggestions!

1. 🍴 Fork the repository
2. 🌿 Create a new branch → `git checkout -b feature/your-feature`
3. 💻 Make your changes
4. ✅ Commit & push → `git push origin feature/your-feature`
5. 📬 Open a Pull Request

---

⚙️ Model Files

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).

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✨ 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! """

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