Zihua Zhu is a Master of Science in Information Studies student at The University of Texas at Austin, working at the intersection of human-centered AI, wearable sensing, and large language models. Her research explores how everyday wearable devices can capture physiological signals and pair them with LLM-based reasoning to support personalized health awareness. At this symposium, she presents a proposed framework that combines NeuroBuds, an ear-worn sensing platform, with a large language model to help people build awareness of daytime jaw clenching — a common but often unnoticed source of tension during focused work.