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🩺 MultiDx

A Streamlit-based web application that predicts the likelihood of multiple diseases (Diabetes, Heart Disease, and Parkinson’s) using trained machine learning models.


📌 Features

  • 🔍 Predict Diabetes, Heart Disease, and Parkinson’s Disease
  • 🧠 Uses machine learning models trained with real-world data
  • 🧾 Simple web UI built with Streamlit
  • 📈 Fast and interactive predictions
  • 📦 Easily deployable on Streamlit Cloud

🧠 Technologies Used

  • Python
  • Streamlit
  • scikit-learn
  • Pandas
  • NumPy

🧪 Installation

1. Clone the repository

bash Copy Edit git clone https://github.com/vineesha35/MultiDx.git cd MultiDx

2. Create a virtual environment (optional)

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

3. Install dependencies

bash Copy Edit pip install -r requirements.txt

4. Run the Streamlit app

bash Copy Edit streamlit run app.py

About

This is an interactive machine learning-powered web application built with Streamlit that helps predict the likelihood of multiple health conditions based on user input. The system currently supports prediction for diseases like Diabetes, Heart Disease, and Parkinson’s Disease using trained machine learning models.

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