Abstract
Glaucoma is a group of eye conditions that damage the optic nerve, which is important for good vision. It is one of the leading causes of blindness worldwide. The Glaucoma Detection System using Machine Learning and Deep Learning approach aims to develop a robust and accurate tool for the early detection of glaucoma. This system will utilize machine learning algorithms to analyze retinal images and assist ophthalmologists in diagnosis and monitoring. The project’s primary goal is to create a highly accurate and efficient system that reduces dependency on manual interpretation. It will offer a user-friendly software application for ophthalmologists, extending its potential utility to general practitioners and telemedicine platforms, thereby improving early diagnosis and enhancing accessibility to glaucoma screening and care.
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