README.md

metadata

tags:
  - health
  - stroke-risk
  - machine-learning
  - gradio
library_name: gradio
license: mit
widget:
  - type: gradio
    src: app.py

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:

📂 Files:

• app.py: Gradio interface and model inference.
• theta_final.npy: Trained model parameters.
• requirements.txt: Dependencies.

🛠 Installation (Local Testing):

pip install gradio numpy
python app.py