This repository contains the codebase for the "Multiple Disease Prediction Streamlit App". The training notebooks and datasets are also provided in the respective folders.
The Streamlit app allows users to predict the likelihood of having diabetes, heart disease, or Parkinson's disease based on user input. The models used for prediction are pre-trained and saved in the saved_models directory.
app.py: The main Streamlit app code.requirements.txt: List of dependencies required to run the Streamlit app.colab_files_to_train_models/: Contains Jupyter notebooks used for training the models.dataset/: Contains the datasets used for training the models.saved_models/: Contains the pre-trained models.
- Open the Streamlit app in your browser.
- Select the type of disease prediction you want to perform from the sidebar.
- Enter the required input values.
- Click the "Test Result" button to get the prediction.
Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.