AI MEDICAL CHATBOT USING MACHINE LEARNING

Abstract: The advancement of Artificial Intelligence (AI) has brought significant changes to the healthcare industry by enabling intelligent systems that can assist users in obtaining medical information efficiently. This project focuses on the design and development of an AI-based Medical Chatbot that provides users with instant medical assistance, preliminary diagnosis, and health-related guidance through an interactive conversational interface. The chatbot is designed to simulate human-like conversation and respond to user queries in natural language, making it accessible and easy to use for individuals without medical or technical knowledge. The AI Medical Chatbot utilizes Natural Language Processing (NLP) techniques to understand user inputs such as symptoms, health concerns, and general medical questions. Based on the analyzed input, the system maps the symptoms to a structured medical knowledge base and generates appropriate responses, including possible health conditions, basic precautions, first-aid suggestions, and lifestyle recommendations. Machine learning algorithms are used to improve the accuracy of responses over time by learning from previous interactions and feedback.

Keywords: Artificial Intelligence (AI) ,Machine Learning ,Medical Chatbot ,Natural Language Processing (NLP) Retrieval-Augmented Generation (RAG) ,Large Language Model (LLM) ,Healthcare Assistant, Vector Database, FAISS, Text Embeddings , Conversational AI.