Against the dual backdrop of accelerating aging and digital transformation

smart communities offer a novel paradigm for the development of home-based elderly care. Drawing upon the analytical frameworks of technological sociology and public governance theory

this paper systematically examines how technologies such as the Internet of Things (IoT)

artificial intelligence (AI)

and big data reshape the home-based elderly care service system. Employing a hybrid research methodology encompassing case studies

technical validation

and policy text analysis

this paper uncovers the tensions among diverse stakeholders' needs and the challenges of technology adaptation. Subsequently

it proposes a "cloud-edge-end" collaborative architecture and a multi-tiered service ecosystem model. Research findings indicate that smart communities can effectively bridge the "service gap" in traditional home-based elderly care through a dynamic balance between resource integration

emergency response

and privacy protection. The research conclusions not only offer theoretical underpinning for the integrated elderly care model encompassing "technology

service

and governance"

but also distill policy optimization pathways and technology adaptation strategies that can be promoted through localized practices in Shanghai

Guangxi and other regions.