International Journal of Science, Engineering and TechnologyAuthors: Akshitha T, Jyothi H U, Kavya D N
Abstract: Glaucoma often leads to permanent vision loss without warning signs, so catching it early really matters. Instead of relying on expensive exams or hard-to-reach experts, this tool uses smart automation. It works with regular photos of the back of the eye taken ahead of time. At its heart is a learning- based model called a CNN that checks those images, even if they come from cheap, mobile cameras. People can upload scans safely through a connected system, then talk to eye doctors online. Results get shared fast by local workers who aren't specialists but still help speed up diagnosis. Because it runs on common gear and gives clear feedback quickly, it helps close service gaps where care is limited – giving patients a better shot at saving their sight before it's too late.
