Detection and Prediction AI Chatbot for Viral Diseases

The spread of viral diseases is being implemented, it is making a call for the intelligent and ease-of-use health supportive system which can assist an individual in early detection of viral diseases and appropriate preventive alertness. In this paper, an AI driven chatbot system named Health Guard is proposed which can predict and detect the potential risk of having viral disease on user pursed symptoms in natural language. The system uses natural language processing (NLP) techniques to analyse the users’ inputs, extract the relevant symptom terms and match them against a predefined symptom-disease dataset kept in a relational database. The back end is implemented with Node. js and Express. js, and MySQL has been employed to manage disease data and chatbot responses. The predictions, precautions and health tips are disseminated to the users by means of clearing house provided by the chatbot system through interactive and user-friendly interface. Performance evaluation demonstrates that rapid and accurate responses are achieved with the system’s average response time being below 3 s. The introduced system demonstrates the possibility of integrating NLP with rule-based logic in intelligent healthcare systems, to make medical information accessible and to raise awareness about viral diseases among public.