A Medical Chatbot for Diabetic Patients Using Artificial Intelligence

The quick rise in diabetes cases globally underscores the essential need for technology-driven, innovative management solutions. The project gives the introduction about the cutting-edge in AI-based chatbot tailored for diabetic patients. The combination of Support Vector Machine (SVM), K-Nearest Neighbors (KNN), results the chatbot to provide highly accurate, personalized recommendations to improve self-management. The added advantage is the inclusion of voice-based interaction which offers enhanced accessibility, especially for the elders and visually impaired persons. This study demonstrates about the ability of the chatbot to interpret the complex health data, delivers the real-time insights, and promote adherence to the treatment plans. The advancement in the fusion of machine learning algorithms and voice interaction secures a dynamic and user-friendly experience for diabetes management.