AI Healthcare Chatbot

The increasing demand for accessible and efficient healthcare services has led to the integration of artificial intelligence in medical support systems. This paper presents the design and development of an AI Healthcare Chatbot built using a modern technology stack comprising Java (version 17) and Spring Boot for the backend, JavaScript for integration, and HTML/CSS for the frontend interface. The chatbot aims to provide instant, AI-driven medical advice based on user inputs such as symptoms, disease names, gender, age, duration of illness, and severity levels. It covers a range of general and vector-borne diseases including fever, cough, dengue, typhoid, and more. The system intelligently processes the data and offers outputs such as recommended medications for mild to moderate symptoms, preventive care tips, dietary suggestions, and health monitoring guidance. To enhance user interaction, the chatbot interface is designed to resemble a WhatsApp-style conversation with quickreply button functionalities, allowing intuitive selection of options. The Spring Boot framework serves as the core for business logic and RESTful API communication, ensuring scalability and modularity. This AI-based solution can serve as a preliminary health assistant, reducing dependency on direct human interaction for basic consultations and supporting overburdened healthcare systems.