heart-disease-machine-learning-model

❤️ Machine Learning-Based Heart Disease Risk Analyser Web App

This project is a machine learning-powered web app that predicts the risk of heart disease based on sleep quality and lifestyle habits using a dataset from Kaggle.

Built with:

• ✅ Python & Streamlit
• ✅ XGBoost Classifier
• ✅ SHAP-ready architecture
• ✅ Sleep & stress-based features

---

📊 Features

• Interactive web form to enter lifestyle data
• Predicts heart disease risk with confidence %
• Uses custom rules to label heart disease based on:
  • Obesity/Overweight
  • High Stress
  • Sleep Disorders (Insomnia, Sleep Apnea)
  • High Resting Heart Rate

---

📁 Dataset

Dataset used:
Sleep Health and Lifestyle Dataset
📎 Kaggle Link

---

🚀 How to Run Locally

git clone https://github.com/Rifa-111/heart-disease-machine-learning-model.git
cd heart-disease-machine-learning-model
pip install -r requirements.txt
streamlit run app.py