Glaucoma Detection using YOLOv7 a Django Precision Eye Care
This project develops a glaucoma detection system using YOLOv7 and Django to analyze retinal images and classify disease severity levels automatically. It enables early diagnosis by providing accurate, real-time detection of glaucoma-related features through deep learning. The system includes a secure web application with role-based access for patients and doctors, supporting diagnosis, recommendations, and appointment management.
Project ID: 0679
Sub domains: Computer Vision, Healthcare Technology, Artificial Intelligence (AI), Web Development
Domain: Python
Project Year: 2026
Keywords: Glaucoma Detection YOLOv7 Deep Learning Computer Vision Django Framework Medical Imaging Disease Classification Telemedicine
Project Cost : ₹6500
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