Edge AI for Early Diabetic Retinopathy Detection

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Explore the revolutionary integration of Edge AI in diabetic retinopathy (DR) screening, emphasizing accessibility and scalability in early detection efforts. Utilizing YOLOv8 optimized for NVIDIA hardware, the project presents methodologies for efficient image processing, contrasted with R-CNN for precision in real-time detection. Achieving 82% accuracy, the system's architecture ensures robust data management, security, and cloud connectivity through a Node.js deployment. Looking ahead,...