With support from the Improving Undergraduate STEM Education: Hispanic-Serving Institutions (HSI Program), this Emerging Faculty Research Track project at San Francisco State University (SFSU) aims to enhance STEM education while addressing critical healthcare challenges faced by the aging population in the United States. This project aims to develop the fundamental knowledge necessary for an AI-driven, non-intrusive, real-time health monitoring system. The system will use floor vibration sensing technology to extract information about gait, enabling early detection of physical changes that might not otherwise be immediately noticed. By integrating advanced technologies, the system will deliver continuous, personalized monitoring while protecting the privacy of users. In addition to its technical contributions, the project's intellectual merit is rooted in its commitment to strengthening student engagement through both STEM education and research. By engaging students in cutting-edge research, this project creates an environment where students' skills and experiences are recognized as strengths within their research teams. The multidisciplinary nature of this project offers students the opportunity to collaborate, share ideas, and develop solutions to research challenges. The project will employ advanced machine learning techniques to address fundamental engineering challenges, supported by a robust mathematical foundation. Leveraging floor vibration sensing technologies