Communities, as the basic constituent units of cities, are both an important foundation for safeguarding the quality of life of residents and a key vehicle for coordinating the urbanization process and achieving sustainable urban development. Ecosystem cultural services play an irreplaceable role in promoting residents' physical and mental health and enhancing social well-being. However, most current research focuses on macro-scales such as ecosystems and urban agglomerations, and there is still a relative lack of research on cultural services at the community scale. In order to fill this research gap, this study aims to construct a set of cultural service assessment index systems applicable to the community scale, to realize the accurate quantitative assessment of community cultural functions. Indicator screening was carried out based on the literature indexing method, frequency analysis method, and content analysis method, and the indicators were weighted using the hierarchical analysis method. A cultural service indicator system applicable to the community scale is constructed from the three dimensions of leisure and entertainment, aesthetics, and sense of belonging, paying close attention to the real experience and deep spiritual needs of residents. In this study, Guangzhou Guanggang Park is chosen as an case study, and based on the data collected by traditional questionnaire survey, AI intelligent monitoring technology is introduced for real-time collection of data on leisure and recreational activities, and the frequency and type of activities of residents are recorded in detail through high-precision behavior recognition model. The AI intelligent monitoring technology in this study has a high recognition accuracy for static behaviors (e.g., sitting still, standing), but there are still some limitations in the recognition of dynamic actions that change continuously, have less distinctive features, or more details. The results of the study show that: (1) The constructed cultural service index system can effectively quantify the cultural service functions of Guanggang Park, in which the aesthetics and sense of belonging functions score higher, but the leisure and entertainment functions are slightly worse, and the functions of the fitness area are significantly better than those of other areas; (2) Respondents' characteristics, such as age and education level, significantly affect respondents' evaluation of the functions of cultural services, which is manifested in the fact that the group with higher education level and the group with higher age have a lower evaluation of cultural services. At the same time, there is a significant positive correlation between different cultural services, which means that the functions of different cultural services affect each other; (3) AI intelligent monitoring technology excels in recognizing distinctive movements such as sitting still and standing, but still needs to be improved in capturing dynamic details. This study not only provides a scientific basis for the optimization and enhancement of community cultural services, but also contributes new ideas to the research on the evaluation of urban community cultural services.