๐ŸŒŸ Explainable AI (XAI) in Eye Disease Detection

๐Ÿ‘จโ€โš•๏ธ Meet Amit: A 45-year-old man experiencing blurry vision. His doctor recommends an AI-based retinal scan.

โ“ The Problem: Traditional AI models provide a diagnosis but lack transparency. How do we know why the model predicted a disease?

โœ… Solution - XAI: Explainability techniques like Grad-CAM highlight which parts of the image influenced the decision. This helps doctors validate the AIโ€™s diagnosis.

๐Ÿ“ท Try it yourself! Upload a retinal image, get a prediction, and compare it with XAI-based explanations.

๐Ÿ” AI Diagnosis Without XAI

๐ŸŒŸ AI Diagnosis With XAI Explanation

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