Create README.md

README.md

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+# Stroke Risk Prediction Model 🚑
+
+This model predicts the stroke risk percentage based on user symptoms using a trained linear regression model.
+
+## 📌 Features:
+- ✅ Takes 16 symptoms as input (Checkbox selection)
+- ✅ Returns a stroke risk percentage
+- ✅ Deployed using Gradio on Hugging Face Spaces
+
+## 🔧 How It Works:
+1. User selects relevant symptoms.
+2. The input is normalized based on precomputed dataset statistics.
+3. The trained model (`theta_final.npy`) predicts the stroke risk.
+
+## 🚀 Try it Live:
+[![Hugging Face Space](https://img.shields.io/badge/HuggingFace-Space-blue)](https://huggingface.co/spaces/your-space-name)
+
+## 📂 Files:
+- `app.py`: Gradio interface and model inference.
+- `theta_final.npy`: Trained model parameters.
+- `requirements.txt`: Dependencies.
+
+## 🛠 Installation (Local Testing):
+```bash
+pip install gradio numpy
+python app.py