AI-Powered Healthcare Chatbot: A Conversational Approach to Accessible Medical Assistance

The rapid evolution of artificial intelligence (AI) has significantly influenced various sectors, with healthcare being one of the most impacted domains. This report presents the development and implementation of an AI Healthcare Chatbot designed to assist patients and healthcare providers by delivering instant, accurate, and reliable medical information. The chatbot leverages natural language processing (NLP) and machine learning (ML) techniques to simulate human-like conversations, enabling users to inquire about symptoms, medications, diseases, and basic health guidelines. It serves as a virtual assistant capable of functioning 24/7, reducing the burden on healthcare professionals and enhancing patient engagement and accessibility. This project explores the methodologies involved in building the chatbot, including data preprocessing, intent recognition, entity extraction, and response generation. Various tools and technologies such as Python, TensorFlow, and Dialogflow are utilized to create a responsive and context-aware system. The report also evaluates the system’s performance through test cases and user feedback, demonstrating its potential as a reliable supplementary tool in primary healthcare delivery.