This study describes an AI healthcare chatbot that automatically assesses patients’ medical needs, conducts interviews and performs thorough health analyses. Using several state-of-the-art natural language processing (NLP) models, including sentence transformers and Llama-based large language models, the system analyzes user symptoms and classifies them into specific medical domains like diabetes, blood pressure, skin and stomach disorders. It uses Gemini API’s generative AI. This dynamically creates several questions and suggests some medical diagnoses. The platform’s improved fishbone diagram considerably aids root cause analysis by visually showing how potential causes relate to user-reported symptoms. Our project creates efficient, interactive healthcare assistants that improve access to preliminary medical advice.