HelixCare AI: NLP-Based HealthCare Advisor and Emergency Support System

The rapid spread of infectious diseases poses significant challenges to global healthcare systems, emphasising the need for timely information dissemination and early intervention. This project presents an Infectious Disease Chatbot powered by Natural Language Processing (NLP) that provides intelligent, interactive, and real-time communication between users and an automated health assistant. The chatbot is designed to assist users in identifying symptoms, understanding possible infectious diseases, suggesting preventive measures, and directing them toward appropriate medical consultation. By leveraging NLP techniques such as intent recognition, entity extraction, and sentiment analysis, the chatbot can interpret user queries expressed in natural language and respond accurately with medically validated information. The system integrates a knowledge base of common infectious diseases such as influenza, COVID- 19, dengue, malaria, and tuberculosis, ensuring relevant and contextual responses. Additionally, machine learning models enhance the chatbot’s adaptability and accuracy over time through continuous learning from user interactions. This solution aims to reduce misinformation, promote health awareness, and support early disease detection, thereby contributing to public health surveillance and improved healthcare accessibility.