Indian Liver Patient Disease Prediction Web App

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Table of Contents

1. Project Overview
2. Demo
3. Features
4. Dataset
5. Installation
6. Usage
7. Model Details
8. Deployment
9. Future Improvements
10. License

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Project Overview

This is a web-based application that predicts liver disease based on patient medical data.
The app is built with Python, Streamlit, and scikit-learn, and provides real-time predictions with a modern, interactive UI.

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Demo

Interactive form for liver disease prediction with risk gauge.

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Features

• Sleek two-column input layout for patient data
• Predicts Liver Disease presence/absence
• Displays risk probability with a dynamic gauge
• Color-coded results:
  • Red → Liver Disease Detected
  • Green → No Liver Disease
• Optional interactive charts to compare patient values to healthy ranges
• Fully deployable to Streamlit Cloud / Heroku

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Dataset

• Name: Indian Liver Patient Dataset (ILPD)
• Source: Kaggle ILPD Dataset
• Features: Age, Gender, Total Bilirubin, Direct Bilirubin, Alkaline Phosphotase, ALT, AST, Total Proteins, Albumin, Albumin/Globulin Ratio
• Target:
  • 1 → Liver Patient
  • 0 → No Liver Disease

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Installation

1. Clone the repository:

git clone https://github.com/your-username/liver-disease-prediction.git
cd liver-disease-prediction