Demo Abstract: CaringFM: An Interactive In-home Healthcare System Empowered by Large Foundation Models

The demand for fully on-device health monitoring is huge and urgent. However, deploying Large Foundation Models conventionally relies on cloud-based computing services, which poses privacy concerns. Driven by the belief of delivering personalised healthcare to family members, this study presents the development of an innovative on-device machine learning system, CaringFM. This family caring system utilizes privacy-protecting sensors and an edge-deployed Foundation Model(FM) to offer a convenient and low-cost solution for chronic disease prediction and health condition monitoring at home. In particular, CaringFM provides general health suggestions and personalized medical information while ensuring high privacy by processing and preserving all data locally.