The Employment Management for College Students Based on Deep Learning and Big Data

Author(s)	Ms. Nikita Balu Sartape, Dr. N. S. Bagal
Country	India
Abstract	The project focuses on addressing the growing employment pressure faced by college students through a Deep Learning based employment management and recommendation system. The system analyzes students’ academic data, behavioral patterns, and enterprise requirements to recommend suitable employment opportunities. It improves employment satisfaction and placement accuracy by linking student profiles with enterprise attributes using a recommendation model. The project also emphasizes the role of ideological and political education in enhancing employability by promoting correct employment attitudes, confidence, and adaptability. The proposed model achieves high matching accuracy and learning efficiency, demonstrating superior performance in data sparsity environments. Overall, this system contributes to effective employment guidance and data-driven decision-making for universities.
Keywords	Deep Learning, Big Data, Employment Management, Job Recommendation, College Students, Artificial Intelligence, Employability, Data Analysis
Field	Engineering
Published In	Volume 8, Issue 3, May-June 2026
Published On	2026-06-14

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