Gastrointestinal Disease Detection - Project Report

This repository contains a detailed report on the Gastrointestinal Disease Detection project, which uses deep learning models to classify gastrointestinal diseases from endoscopic images.

Live Demo

The live demo of the project is available at: [live

Report Contents

This report repository includes:

1. Project Overview - Introduction to the project, its goals, and significance
2. Methodology - Detailed explanation of the dataset, preprocessing, and model architectures
3. Results - Comprehensive analysis of model performance and comparisons
4. Conclusion - Summary of findings and future work

Technologies Used

• HTML5/CSS3 for the report website
• Wikipedia-inspired ultra-realistic UI/UX design
• Responsive layout for all devices

Viewing the Report

The report is accessible through GitHub Pages at [repository URL]/index.html or by cloning this repository and opening the index.html file in a web browser.

Original Project

The original project uses:

• React for the frontend
• Three.js for 3D neural network visualizations
• TensorFlow/Keras for the machine learning models
• Google's Gemini API for the chatbot functionality

License

This project is licensed under the MIT License - see the LICENSE file for details.