AI DRIVEN PUBLIC HEALTH CHATBOT: A WEB-BASED SYMPTOM ANALYSIS AND PREVENTIVE HEALTHCARE SYSTEM

Abstract

The rapid advancement of artificial intelligence (AI) has significantly transformed the healthcare sector by enabling intelligent, accessible, and efficient solutions. This project presents the design and development of an AI-driven public health chatbot aimed at providing preliminary medical assistance and health-related guidance to users. The chatbot interacts with users through a conversational interface, collects symptoms, and analyzes them using machine learning techniques and predefined medical knowledge bases to suggest possible conditions and basic remedies.The system is designed to bridge the gap between patients and healthcare services, especially in areas with limited medical access. It offers features such as symptom checking, disease prediction, general health advice, and awareness of preventive measures. By utilizing natural language processing (NLP), the chatbot ensures user-friendly and effective communication, making it accessible to individuals with minimal technical knowledge.