Medicine Information and Advice System Using NLP and Decision Tree Algorithm

Abstract

The "Medicine Information and Advice System" is an application based on machine learning that aims to give reliable medicine information and individualized healthcare advice, enabling users to make better, informed choices more securely. It can handle both symptom-oriented and medicine-oriented questions through a simple interface, suiting all types of users. Using artificial intelligence, the system performs operations on user input either symptoms or medicine names to provide crucial health information. For medical questions, it provides comprehensive information such as, composition , product information, possible side effects, therapeutic class, uses. For symptom-based search, predictive modeling suggests possible diseases and recommends suitable medicines, diets, exercises, and precautions required. The system features voice command for hands-free use and is backed by a performance-tuned backend for rapid, reliable data access with ongoing learning from user behavior to enhance precision. Coupled with a simple, intuitive frontend and a large, robust medical database, the system improves health decisionmaking for patients and clinicians alike, enabling better, safer, and more tailored health outcomes