Chat4Elderly: A Multi-Agent System for Personalized Wellness Using Generative AI and Wearable Technology

This demo presents Chat4Elderly, a Multi-Agent System (MAS) designed to support the well-being of elderly users through personalized and proactive interactions. The system combines Large Language Models (LLMs) with smartwatch sensor data to provide real-time, context-aware responses that address both mental and physical health needs. By analyzing conversational patterns and physical activity levels, it adapts to user preferences, offering personalized assistance and engagement. Over time, the system improves its interactions using stored knowledge, increasing personalization and supporting long-term well-being. This approach helps reduce loneliness and enhance quality of life (QoL), creating a more supportive and engaging experience for elderly users.