The advancement of Artificial Intelligence (AI) has paved the manner for wise healthcare solutions that may beautify prognosis and treatment hints. This paper provides an AI-driven Personalized Medical Recommendation System, which predicts diseases primarily based on person-input signs and indicates relevant drugs. The system leverages machine learning algorithms using supervised studying techniques for sickness prediction and content-primarily based filtering for medication guidelines. A Flask-based web application ensures accessibility, providing real-time interaction. Experimental effects suggest that the system provides exceptionally accurate and reliable clinical recommendations, showcasing the capacity of AI in modern healthcare. The development of a Medicine Recommendation System ambitions to help healthcare specialists and sufferers in selecting appropriate medications based totally on individual clinical profiles and particular situations.