ARTIFICIAL INTELLIGENCE FOR GLAUCOMA SCREENING

Glaucoma is a leading cause of irreversible blindness worldwide, and early detection is critical to prevent vision loss.This project presents an artificial intelligence (AI)-based approach for automated glaucoma screening using retinal fundus images.A deep learning model is trained to identify structural changes in the optic nerve head and retinal nerve fiber layer, key indicators of glaucoma.The system enables fast, accurate, and costeffective screening, especially beneficial in resource-limited settings.Experimental results show high accuracy in distinguishing between glaucomatous and healthy eyes, demonstrating the potential of AI to support largescale, early diagnosis and reduce the burden of blindness.