Abstract
Medical chatbots are becoming more and more common as the healthcare industry changes and places more and more focus on automated and remote services. These digital assistants provide cost savings, prompt answers to healthcare inquiries, and access to medical guidance around-the-clock. The effectiveness of these chatbots depends on how well-informed they are about healthcare. Our project's main goal is to employ Transformer network architecture to create a sophisticated chatbot for healthcare. It includes gathering data, choosing a model, recognizing intent and entities, managing conversations, producing responses, integrating knowledge databases, creating user-friendly designs, doing thorough testing, adhering to regulations, and continuously improving. Our objective is to develop a smart conversational agent that can respond to a broad range of healthcare inquiries, provide advice and recommendations tailored to individual diseases, and eventually improve patient satisfaction and healthcare experiences
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