Author(s)

LiPing He

Affiliation(s)

Department of Information Management, Guangdong Justice Police Vocational College, Guangzhou 510520, Guangdong, China.

Corresponding Author

LiPing He

ABSTRACT

This paper proposes an AI-based intelligent system for students' career planning, which integrates technologies such as big data analysis, machine learning, and natural language processing to construct a "data-model-service" architecture. The system consists of three modules: data collection and preprocessing, intelligent analysis, planning generation, and interaction. By leveraging technologies including multi-source data fusion, the combination of reinforcement learning and knowledge graphs, and natural language generation, it realizes precise, personalized, and dynamic career planning services for students. Experiments show that this system increases the rationality score of career goals by 24.2%, improves the matching degree of first employment positions by 14.7%, and raises student satisfaction by 35.5%, providing a technical solution for the digital transformation of students' career planning education.

KEYWORDS

Artificial intelligence; Students' career planning; Intelligent system; Big data analysis; Machine learning

CITE THIS PAPER

LiPing He. The technology of AI-driven intelligent system for students' career planning. Journal of Computer Science and Electrical Engineering. 2025, 7(6): 14-21. DOI: https://doi.org/10.61784/jcsee3083.

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