Human eye disease detection project

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This project focuses on the development of AI-based algorithms for early detection of eye diseases, aiming to improve diagnosis accuracy, patient accessibility, and healthcare outcomes. It includes a literature review of current methods, identification of challenges, and feasibility analysis. The methodology covers data collection, preprocessing, and validation techniques. The presentation outlines completed milestones, future directions, and the project's timeline. Findings and their...