Development of a Voice-Interactive Chatbot for Personalized Health Management Using a Lifestyle Recommendation Knowledge Base

Abstract

This paper introduces a voice-interactive chatbot designed to provide personalized health recommendations through a knowledge base built on validated medical literature. By leveraging 17 key health variables, the chatbot addresses approximately 150 million potential health scenarios, offering advice for personal health management. The system developed as an Android application, represents the initial phase of a broader project aimed at delivering evidence-based health management services. Future advancements will focus on replacing the current knowledge base with a knowledge graph and integrating large language models (LLMs) to enable more natural and contextual conversations in healthcare.