AI-Enabled Eye Screening Tool for Early Detection of Common Eye Diseases

Abstract: Eye diseases are common but they are often not find until later, especially in rural areas. It takes a long time and costs a lot of money to get a traditional diagnosis because you have to go to the hospital, use equipment, and see experts. Current AI-based systems are hard to use in real time because they are so complicated.

This project makes a basic Eye Disease Detection System using a CNN model. The user can either upload an eye image or take one through a web app. The system looks at the picture and finds diseases like cataracts, conjunctivitis, styes, or a normal condition.

Camera support, a better user interface, and better performance make the system better. It gives you quick and correct results along with a confidence score. The system is easy to use, works well, and is good for finding eye diseases early.

Keywords: Convolutional Neural Network (CNN), Machine Learning model Deep Learning, Early eye diseases detection, Accuracy, Artificial intelligence.