🩺 Multiple Disease Prediction App

This is an interactive Streamlit web application that predicts the likelihood of multiple diseases using Machine Learning models.
The app provides an easy-to-use interface for users to enter medical data and receive instant predictions.

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🚀 Features

• Predict multiple diseases (e.g., Diabetes, Heart Disease, Parkinson’s, etc.)
• Clean and user-friendly interface powered by Streamlit
• Sidebar navigation with streamlit-option-menu
• Fast and accurate predictions using scikit-learn

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📺 Live Demo

🔗Demo Link

🛠️ Tech Stack

• Python
• NumPy - Numerical computations
• scikit-learn - Machine learning models
• Streamlit - Web app framework
• streamlit-option-menu - Sidebar navigation

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📂 Project Structure

multiple-disease-prediction-streamlit-app/
│── app.py # Main Streamlit app
│── models/ # Trained ML models (pkl files)
│── requirements.txt # Dependencies
│── README.md # Project documentation

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⚡ Installation & Usage

1. Clone the repository:

   git clone https://github.com/subhadipsinha722133/Multiple-Disease-Prediction.git
   cd multiple-disease-prediction-streamlit-app

Install the dependencies:

bash Copy code pip install -r requirements.txt Run the Streamlit app:

bash Copy code streamlit run app.py Open your browser at http://localhost:8501

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🤝 Contributing

Contributions are welcome! Feel free to open an Issue or submit a Pull Request.

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📜 License

This project is licensed under the MIT License.

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👨‍💻 Author

Subhadip Sinha