🏥 Multiple Disease Prediction System using Machine Learning

A machine learning-powered web application built with Streamlit to predict the presence of common diseases including Diabetes, Heart Disease, Parkinson’s, and Breast Cancer. Users can enter basic health metrics and receive immediate predictions.

🎯 Project Overview

This project aims to provide a simple yet effective tool for early disease prediction. It features:

• ✅ Trained ML models saved as .sav files
• 🎛️ Interactive web interface using Streamlit
• 📦 Easy-to-install Python environment
• 🔍 Real-time disease prediction

🧠 Supported Diseases

The following diseases are currently supported:

• 🔷 Diabetes
• 🔴 Heart Disease
• 🟠 Parkinson’s Disease
• 🟢 Breast Cancer

🚀 Quick Start

⚙️ Installation

# Clone the repository
git clone https://github.com/Ashis-Mishra07/Multiple_Disease_Prediction_Model.git
cd Multiple_Disease_Prediction_Model

# Create a virtual environment (optional but recommended)
python -m venv venv
source venv/bin/activate         # On Windows: venv\Scripts\activate

# Install required packages
pip install -r requirements.txt

The app will open at http://localhost:8501

📁 Project Structure

Multiple_Disease_Prediction_Model/
├── app.py                       # Main Streamlit web app
├── requirements.txt             # Python dependencies
├── models/                      # Trained model files (.sav)
│   ├── diabetes_model.sav
│   ├── heart_disease_model.sav
│   ├── parkinsons_model.sav
│   └── breast_cancer_model.sav
└── README.md                    # You're reading it!

🔮 Future Enhancements

Planned Features

• Add model accuracy indicators
• Add model retraining support from UI
• Integrate user authentication
• Integration with EEG devices
• Deploy on Streamlit Cloud or HuggingFace Spaces

⚠️ Medical Disclaimer: This software is for research and educational purposes only. It is not intended for clinical diagnosis or treatment decisions. Always consult qualified healthcare professionals for medical advice.

📅 Last Updated: June 2025 | 🔢 Version: 1.0.0