Diabetic Retinopathy

Diabetes is a chronic metabolic disorder affecting millions of people worldwide and is associated with severe complications such as Diabetic Retinopathy, cardiovascular diseases, and kidney failure. Early prediction and diagnosis are essential for effective disease management and prevention of complications. This research proposes a machine learning- based technique for predicting diabetes using a mobile application platform. Various machine learning algorithms are evaluated to enhance prediction accuracy and efficiency. Additionally, Explainable Artificial Intelligence techniques are incorporated to improve model interpretability. The proposed system aims to provide an accessible, reliable, and efficient solution for early diabetes detection and monitoring.