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DR_Glucoma_AMD Prediction System

A Flask-based web application for predicting eye diseases like Diabetic Retinopathy (DR), Glaucoma, and Age-Related Macular Degeneration (AMD) using machine learning models. This project helps medical professionals in diagnosing these conditions based on patient data and medical images.

Project Overview

This web application allows doctors to input patient data, upload medical images, and predict whether a patient is suffering from Diabetic Retinopathy, Glaucoma, or AMD. The system uses machine learning models to analyze the data and provide diagnostic predictions. Additionally, it provides a history of patient records and enables doctors to upload patient photos and other medical information.

Technologies Used

  • Backend: Flask (Python) with Flask-Migrate for database migrations
  • Frontend: HTML, CSS (Bootstrap), JavaScript
  • Database: SQLite (can be extended to MySQL/PostgreSQL)
  • Machine Learning: CNN and Transfer Learning