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NETRA X – AI-Powered Diabetic Retinopathy Detection NETRA X is an AI-powered solution designed to support the early screening of Diabetic Retinopathy (DR), an eye condition that can affect people with diabetes and may lead to vision loss if not identified in time. Our project uses Deep Learning to analyze retinal fundus images and predict the possible severity level of Diabetic Retinopathy. Users can upload a retinal image, and the trained AI model processes it to provide a prediction that can help identify potential signs of the disease. What makes NETRA X different is its focus on AI safety and reliability. We incorporate Bayesian Deep Learning (BDL) concepts and uncertainty estimation to help the system recognize when it is not sufficiently confident about a prediction. Techniques such as Monte Carlo Dropout can be used to estimate prediction uncertainty. When uncertainty is high, a safety mechanism can flag the result for further professional review instead of presenting an uncertain prediction as reliable. The model is trained using retinal fundus image datasets such as APTOS 2019. It aims to classify the possible severity of Diabetic Retinopathy and make AI-assisted screening more accessible. Our vision is to make early eye-disease screening more accessible, especially for people who may have limited access to specialized eye-care services. Key Features: - AI-based retinal image analysis. - Diabetic Retinopathy severity prediction. - Deep Learning-based classification. - Bayesian Deep Learning and uncertainty estimation. - Safety mechanism for uncertain predictions. - User-friendly image upload and prediction workflow. - Support for early screening and awareness. Our Impact: NETRA X aims to combine artificial intelligence, healthcare accessibility, and responsible AI practices to support early detection and encourage timely medical consultation. Important: NETRA X is designed as an early-screening support tool, not a replacement for professional medical diagnosis. All results should be reviewed by qualified eye-care professionals.