In response to the growing concern over the physical health of student athletes in the digital age, this study proposes an athlete-focused student physique test and evaluation system utilizing body test big data. The system is designed to optimize both hardware configuration and software functionality to enhance the accuracy and efficiency of physical fitness assessments. The system's software is divided into server-side and client-side components. The server-side, built on a J2EE framework, utilizes Apache and Tomcat 6.0 servers for deployment, with data management supported by a MySQL database system. The client-side features modules for physique testing and evaluation, allowing for the integration of athletes' basic physical attributes to provide tailored assessments. The system leverages API programming to interact with the server-side database, facilitating real-time access to body test big data for comprehensive fitness evaluations. Additionally, the inclusion of a specialized physique test module enhances the system’s ability to monitor and assess the physical fitness of student athletes, providing actionable insights to improve their health and performance. Experimental results demonstrate that the athlete-focused student physique test and evaluation system based on body test big data is highly practical and effective in real-world applications. The system not only meets the research requirements but also offers significant potential for improving the monitoring and enhancement of athletic performance and physical health in educational settings.