This research introduces a novel architecture that combines real-time location tracking and human activity recognition with LLMs to create truly context-aware smart environments.

• System integrates UWB location tags and smart home sensors to understand user context
• LLM-powered chatbot generates personalized interactions based on user activities and location
• Architecture enables proactive assistance rather than just reactive responses
• Framework designed to support various applications including healthcare monitoring

For healthcare applications, this technology enables continuous monitoring of patient activities, personalized assistance based on health context, and proactive intervention possibilities—creating smart environments that truly understand and adapt to user needs.

Enhancing Smart Environments with Context-Aware Chatbots using Large Language Models