❤️ Heart Disease Prediction using Machine Learning

This Streamlit web app predicts the likelihood of heart disease based on various medical parameters. It uses a trained machine learning model to assist in preliminary health analysis and decision-making.

🚀 Demo

Check out the live app here:

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📌 Features

• User-friendly interface built with Streamlit
• Accepts patient health data inputs
• Predicts likelihood of heart disease
• Displays prediction results instantly
• Machine Learning model trained on historical health data

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🧠 Model & Technology

• Python 3.x
• Scikit-learn
• Pandas, NumPy
• Streamlit for frontend
• Trained classification model : Random Forest Model

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📂 Project Structure

 📁 heart-disease-prediction/ ├── app.py # Streamlit application script ├── model.pkl # Trained machine learning model ├── requirements.txt # List of Python dependencies └── README.md # Project documentation 

🔧 Setup Instructions

Follow these steps to run the project locally on your machine:

1. Clone the repository

git clone https://github.com/Pramodredd/heart_disease_prediction

cd heart-disease-prediction

2. Create a Virtual Environment (optional but recommended)

python -m venv venv

Activate the environment:

On Windows: venv\Scripts\activate

On macOS/Linux: source venv/bin/activate

3. Install Required Python Packages

pip install -r requirements.txt

4. Run the Streamlit App

streamlit run app.py