Multi-Cure is an advanced supervised Machine Learning model designed to predict multiple diseases, including:
- Diabetes
- Heart Disease
- Parkinson's Disease
- Breast Cancer
This powerful tool combines Python and Machine Learning to provide accurate predictions. The user-friendly web app is built and deployed using Streamlit, making it accessible and interactive.
- Easy-to-use web interface.
- Predicts multiple diseases with a single app.
- Powered by robust supervised learning models.
- Deployed for seamless access via Streamlit.
Follow these simple steps to set up the project locally:
-
Download the Project
- Download the complete repository from here.
- Extract the files to your desired location on your device.
-
Install Dependencies
- Open a terminal or command prompt.
- Navigate to the project folder and install the required libraries by running:
pip install -r requirements.txt
-
Optional: Create a Virtual Environment
- To keep your setup clean, create a virtual environment:
python -m venv env source env/bin/activate # On macOS/Linux env\Scripts\activate # On Windows
- To keep your setup clean, create a virtual environment:
-
Run the Application
- Copy the file path of
main.pyfrom your device. - In the terminal or command prompt, run:
streamlit run [path_to_main.py]
- Replace
[path_to_main.py]with the actual file path you copied. - Access the app via the local hosting link provided in the terminal.
- Copy the file path of
- Select the disease you want to predict.
- Input the required medical details.
- Click "Predict" to view the results instantly.
- Python
- Streamlit
- Supervised Machine Learning Models
- Add more diseases to expand the model's capabilities.
- Include additional input features for greater accuracy.
- Improve the UI/UX of the web app.
Feel free to suggest improvements or contribute to the project! 😊