Abstract: The "AI-Powered Diabetes Early Diagnosis and Health Monitoring Platform" project introduces an innovative method for the early detection and management of diabetes, a growing global health concern. Utilizing advanced machine learning algorithms, this initiative focuses on analyzing and interpreting complex medical data to accurately forecast the likelihood of diabetes onset in individuals. The predictive model integrates a thorough examination of multiple factors, including genetic predispositions, lifestyle habits, environmental influences, and pre-existing medical conditions, all of which play a crucial role in shaping an individual’s risk profile for developing diabetes.
A standout feature of this system is its emphasis on personalized medicine. By considering each individual's unique health profile and risk factors, the model delivers customized risk evaluations, enabling more precise and effective prevention strategies. This tailored approach not only enhances patient outcomes but also supports the efficient use of healthcare resources
Keywords: Artificial intelligence, Machine learning, Diabetes, Disease prediction.
Copyright Form