AI-Powered Diabetes Risk Prediction and Foot Ulcer Classifications

Abstract

This project focuses on creating an intelligent system that can help predict the chances of a person developing diabetes and also detect foot ulcers, which are a common complication in diabetic patients. The system uses artificial intelligence (AI) to analyze health data like blood sugar levels, age, and body measurements, along with foot images, to give accurate results. It is designed in a way that doctors or medical staff can simply upload the patient’s data or images on a website and get instant feedback without needing technical knowledge. One of the key features of this system is that it not only gives one-time results but also tracks the patient's health over time, helping doctors see if the condition is improving or getting worse. This can be useful in planning the right treatment at the right time. By combining advanced technology with an easy-to-use platform, the tool aims to support early detection, reduce human error, and help medical professionals make better and faster decisions. Overall, it is a helpful step toward improving the quality of care for people with or at risk of diabetes.