Automated Retinal Disease Detection and Classification Using AI

Retinal diseases represent a significant global health challenge, contributing to preventable vision impairment and blindness. Conditions like Diabetic Retinopathy, Glaucoma, and Age-related Macular Degeneration often progress silently until irreversible damage occurs. Early detection is critical, yet traditional manual screening is resource-intensive and dependent on specialist availability, especially in underserved regions. This project introduces an AI-powered Retinal Disease Detection and Classification System, a full-stack web application designed to bridge this gap. Patients can securely upload retinal fundus images through a user-friendly interface. These images are then preprocessed and analyzed by the Google Gemini AI model, which generates diagnostic predictions with confidence scores. Healthcare professionals can review these AI-generated results, validate them, and issue final reports. The system architecture integrates a ReactJS frontend, a Flask backend, and secure database storage, aiming to improve the accessibility, scalability, and reliability of retinal disease detection. By combining automation with expert supervision, this project contributes to earlier diagnosis and better patient outcomes.