Design and Implementation of Intelligent Elderly Care Community System Based on Machine Learning

With the acceleration of the global aging process, the demand for elderly care services is growing day by day, while the traditional way of elderly care can no longer meet the needs of modern society. Therefore, the design and implementation of smart elderly care community system has become an important research topic. This paper aims to introduce a smart elderly care community system based on machine learning, which can intelligently analyze and process various information in the elderly care community through machine learning algorithms, and provide more intelligent and personalized services for the elderly. The intelligent elderly care community system based on machine learning mainly relies on a large number of data collection and analysis, as well as machine learning technology to achieve human-computer interaction and provide better home life services for the elderly. First of all, this paper introduces the basic concept and background of the intelligent elderly care community system, and expounds the shortcomings of the traditional elderly care way and the advantages and development trend of the intelligent elderly care community system. Then, the design and implementation process of the intelligent elderly care community system based on machine learning is introduced in detail, including the architecture, functional modules and key technologies of the system.