LLMMedical consultaton

Utilizing a comprehensive dataset consisting of 488 rows and 4 columns encompassing disease symptoms and treatment information, this research aims to merge four datasets into a single entity while eliminating duplicate values. Moreover, it proposes a robust framework for the secure implementation of artificial intelligence in healthcare. This method entails querying a curated medical dataset to as certain suitable treatments based on user input regarding symptoms or diseases. It also emphasizes the need for professional medical consultation in emergency situations while providing concise and actionable recommendations.