Generative Artificial Intelligence Technology-Based Architecture for an Intelligent Campus Management Platform

Generative artificial intelligence technology represents a transformation approach to the design and implementation of intelligent campus management platforms. As educational institutions increasingly seek to optimize operations, enhance learning environments, and improve resource allocation, the integration of generative AI can facilitate these objectives by providing data-driven insights and automating complex processes. This innovative technology enables institutions to harness vast amounts of data generated within campus ecosystems, thereby allowing for more informed decision-making and personalized user experiences. The architecture of an intelligent campus management platform powered by generative AI typically encompasses several key components: data collection, processing, analysis, and visualization. By utilizing IoT devices and other data sources, campuses can collect real-time information on various parameters such as student attendance, resource usage, and environmental conditions. Smart campus refers to a new education model that uses information technology, data as the core, and network as the basis to achieve comprehensive intelligence in campus environment, resources, services, and management. In this paper, the development of generative AI technology is sorted out, while relevant algorithms and models are summarised in detail, a smart campus management architecture based on generative AI technology is proposed, and its application scenarios are preliminarily planned. The method proposed in this paper will effectively improve the current intelligent level of smart campus management, which has high practical significance and theoretical value.