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The liver disease diagnosis project leverages machine learning to analyze medical data, improving early detection and accuracy of diagnoses. This approach aims to enhance predictive models and personalized treatment plans, ultimately advancing patient care and outcomes.

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Liver-disease-diagnosis

This is the repository for Final Project Submission.

Our topic for the project is "Liver Disease Diagnosis/Prediction using machine learning classifiers".

The group members are: Sagar Jaiswal

Shivansh Raghuwanshi

Shreyansh Jain

The application has been deployed using Streamlit:

[Liver Disease Prediction Application]

How to run

  1. Activate the conda environment.

    conda activate

  2. Create a virtual environment using the command..

    python -m venv virtualenv

  3. Activate the virtual environment using the command:

    venv\Scripts\activate

  4. Install the libraries from the requirements.txt file.

    pip install -r requirements.txt

  5. Run the notebook using the command jupyter notebook

  6. To run the streamlit app on localhost, use the command

    streamlit run main.py

    It should run the application on the default port 8501: https://localhost:8501.

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The liver disease diagnosis project leverages machine learning to analyze medical data, improving early detection and accuracy of diagnoses. This approach aims to enhance predictive models and personalized treatment plans, ultimately advancing patient care and outcomes.

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