What does this research mean for the field?

A deep learning-based career recommendation model provides personalized guidance by integrating multidimensional student profiles, achieving high classification accuracy in career recommendations. Novelty: ClaimNovelty.NOVEL_FINDING. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The research aims to develop an AI-driven framework to enhance personalized career recommendations for students.

February 27, 2026Open Access

An AI-Driven Deep Learning Framework for Personalized Career Recommendation Using Multidimensional Student Profiling

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Authors

MBMr.B.Muthu Krishna Vinayagam, Munees kumar B, Akash Arumugam S, Jogansridhar B

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Implication

Analysis shows high accuracy in career recommendations using AI-driven student profiles, suggesting improved guidance methods.

Key Points

The research aims to develop an AI-driven framework to enhance personalized career recommendations for students.
Developed a deep learning-based model integrating multiple student profiles.
Employed a hybrid feature representation for academic and personal attributes.
Trained using a multi-input deep neural network with adaptive learning.
Focused on achieving class-balanced optimization for more reliable predictions.
Achieved high classification accuracy for career recommendations.
Provided reliable Top-3 and Top-5 career choices for students.
Supported skill-gap analyses and real-time updates to recommendations.

Cite This Study

Mr.B.Muthu Krishna Vinayagam, Munees kumar B, Akash Arumugam S, Jogansridhar B (2026) studied this question.

synapsesocial.com/papers/69a13591ed1d949a99abf87e https://doi.org/10.5281/zenodo.18766683

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An AI-Driven Deep Learning Framework for Personalized Career Recommendation Using Multidimensional Student Profiling

Discussion

Member takes

Implication

Key Points

Cite This Study

An AI-Driven Deep Learning Framework for Personalized Career Recommendation Using Multidimensional Student Profiling

Discussion

Member takes

Implication

Key Points

Cite This Study

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