YNU launches innovative DeepSeek applications

Yunnan University (YNU) has recently launched five innovative applications based on the DeepSeek large model.

The five applications include a psychological counseling platform, an intelligent knowledge base platform, an AI teaching assistant and learning partner, a digital administrative services assistant, and an intelligent admissions Q&A system.

MH-i, the psychological counseling platform, provides users with a WeChat applet and web version. [Photo/ynu.edu.cn]

These applications enhance mental health support for students and faculty members, streamline administrative tasks, optimize teaching and research efficiency, improve campus services, and facilitate intelligent admission consultation. The goal is to boost work efficiency and better serve the university community.

These intelligent applications are currently in the trial phase. They may encounter challenges such as adapting to complex real-world demands, enhancing multi-system integration efficiency, and improving response accuracy for certain functional modules.

The AI learning partner provides homework guidance for students, outputs problem-solving ideas, and guides students to think independently. [Photo/ynu.edu.cn]

Relevant university departments will continuously gather feedbacks from students and faculty during usage. They aim to enhance service efficiency and user experience by reinforcing model iteration and refining application scenarios.

The undergraduate enrollment page of Yunnan University's website. [Photo/ynu.edu.cn]

Candidates or parents can enter Yunnan University's undergraduate enrollment website and click on the intelligent robot "Small E". They can fill in their basic information in the login interface to consult or leave a message online and get answers to questions on the college entrance examination, enrollment policies, disciplines, and campus life.

Additionally, YNU will use DeepSeek as a foundational technology to explore applications in teaching and research assistance, interdisciplinary knowledge graph construction, and personalized growth path planning.

The university is committed to building an intelligent ecosystem that supports human-machine collaborative innovation across the entire teaching and research chain.

This initiative will drive the intelligent transformation of teaching, research, management, and services, creating a more convenient and efficient environment for students and faculty members.