Eye Disease Detection and Classification (ROP): EyeCare

The proposed EyeCare system provides a secure, AI-driven approach to eye disease detection using fundus images. By integrating a VGG19 + CNN model with a robust Flask–MongoDB backend, the system ensures accurate disease classification, reliable data management, and safe clinical decision support. Unlike decentralized blockchain models, this solution uses encrypted database storage and role-based access control to maintain patient privacy and integrity. The platform supports doctors and ophthalmologists in early disease diagnosis, digital report generation, and efficient record management — making it ideal for hospitals, clinics, and telemedicine.

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