This README provides a clear overview, setup instructions, and usage guidelines:

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Multiple Disease Prediction Web App

This is a Streamlit-based web application that predicts the likelihood of various diseases using machine learning models. The application supports prediction for:

• Diabetes
• Heart Disease
• Parkinson's Disease

🚀 Live Demo

yet to host

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🧠 Features

• Separate machine learning models trained for each disease
• User-friendly web interface using Streamlit
• Interactive forms for each disease input
• Real-time prediction based on user input
• Modular and well-organized codebase

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📁 Project Structure

multiple_disease_prediction/
│
├── diabetes_model.sav            # Trained model for diabetes prediction
├── heart_disease_model.sav       # Trained model for heart disease prediction
├── parkinsons_model.sav          # Trained model for Parkinson's disease prediction
│
├── app.py # Streamlit frontend app
│
├── README.md                     # Project documentation
└──

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🛠️ Installation and Setup

1. Clone the Repository

git clone https://github.com/siddhardhan23/multiple-disease-prediction-streamlit-app.git
cd multiple-disease-prediction-streamlit-app

2. Create and Activate a Virtual Environment

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install Dependencies

pip install -r requirements.txt

4. Run the Streamlit App

streamlit run multiple_disease_prediction.py

The app will open in your browser at http://localhost:8501.

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📊 Models Used

• Diabetes Prediction: Trained using Pima Indians Diabetes Dataset.
• Heart Disease Prediction: Trained on Cleveland Heart Disease Dataset.
• Parkinson’s Disease Prediction: Trained using the UCI Parkinson’s dataset.

Models are serialized using joblib and loaded during app runtime.

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💡 Usage

1. Choose the disease you want to check from the sidebar.
2. Enter the required medical parameters in the form.
3. Click "Predict" to see the result.

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📌 Requirements

• Python 3.7+
• Streamlit
• scikit-learn
• pandas
• numpy

(Full list in requirements.txt)

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📜 License

This project is licensed under the MIT License. See the LICENSE file for details.

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🙌 Acknowledgements

• Streamlit for the UI framework
• UCI Machine Learning Repository for datasets

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multiple_disease_prediction