Team Introduction
ZhiChuang Yuntu Team from Jiangxi University of Finance and Economics is an interdisciplinary student group composed of members from Software Engineering (VR Development), Digital Media Arts, and Accounting. Guided by the principle of “cross-disciplinary integration and technology-driven innovation,” the team focuses on addressing the nutritional crisis prevalent among university students through AI-empowered and scenario-based health solutions.
The team includes Shang Ji, Yang Jiali, Gao Bingchang, Shen Yuya, Luo Chungan, and Zhao Yingchun, under the supervision of Professor Liao Yishen. Members contribute complementary expertise:
— Software engineering members develop the technical framework, system architecture, and algorithmic modules;
— Digital media members specialize in visual communication, UI/UX design, illustration, and content creation tailored to young users;
— Accounting members conduct cost analysis, budgeting, financial modeling, and data-driven feasibility validation.
With rigorous execution, strong creativity, and efficient collaboration, the team forms a complete innovation closed-loop—from technology development to visual design to financial assessment. Their work not only ensures scientific rigor and practicality but also maintains a student-centered perspective, allowing solutions to remain feasible, affordable, and aligned with real campus needs. Leveraging this multidimensional synergy, the team is committed to building a scalable, intelligent health management ecosystem for university students and contributing to the modernization of campus health governance.
Project Introduction
“CloudWise Nutrition” (Yunshan Huiyang) is an AI-driven, campus-level intelligent nutrition and health management system designed for university students. Built upon a four-pillar architecture—Smart Hardware Terminals, AI Nutrition Brain, Data Ecosystem Platform, and Mini-Program User Portal—the project addresses the persistent issues of unbalanced diets, fragmented health data, limited nutritional awareness, and rising psychological stress among students.
The system integrates multi-scenario sensing through cafeteria food-recognition devices, dormitory and gym micro-health stations, and campus card data. These devices automatically capture food types, portions, caloric intake, body composition, heart rate, sleep indicators, and behavioral patterns. The back-end AI Nutrition Brain fuses dietary behavior, physiological data, circadian rhythms, and psychological signals into a structured, multidimensional health profile. It then generates personalized dietary recommendations, nutrition plans, lifestyle adjustments, and health trend predictions.
For students, the mini-program provides accessible tools including real-time nutrition tracking, individualized meal suggestions, daily wellness insights, and visualized health reports. For university administrators, a comprehensive analytics dashboard offers aggregated nutrition trends, dietary preferences, energy balance distribution, and health status changes across student populations—supporting data-driven campus health governance.
Aligned with national health strategies such as Healthy China 2030 and the National Nutrition Plan, the project combines scientific rigor, technological innovation, and public health value. “CloudWise Nutrition” aims to embed intelligent health support seamlessly into students’ daily life, fostering sustained healthy behaviors and building a modern, integrated framework for university-level wellness management.
