International Journal of Advanced Research in Computer and Communication Engineering

Abstract: Diabetes is a chronic and rapidly increasing health condition that requires early detection and continuous monitoring to prevent severe complications. Traditional diabetes screening methods often rely on manual evaluation or simple calculators that consider limited parameters, resulting in inaccurate or generalized risk assessment. To address these limitations, this project presents an AI-Powered Diabetes Prediction System that uses machine learning techniques to provide accurate, real-time, and personalized diabetes risk prediction.

Downloads: | DOI: 10.17148/IJARCCE.2026.151107