Drug Recommendation Based On User Disease

This research focuses on developing an intelligent drug recommendation system based on user-input diseases. The system utilizes machine learning techniques and medical datasets to analyze symptoms and predict suitable medications. By processing user data such as disease type and symptoms, the model provides accurate and personalized drug suggestions. The aim is to assist patients and healthcare providers in making informed decisions, reducing manual effort, and improving healthcare accessibility. The proposed system enhances efficiency, reliability, and supports early treatment through automated recommendations.