Advisor One-Stop Personalized Career and Education System

This paper presented an AI-Driven One-Stop Personalized Career and Education Advisor (AI-CEA) system designed to address the persistent limitations of traditional career counseling through intelligent, data-driven guidance. By integrating machine learning classification, collaborative filtering, content-based recommendation, and NLP-based skill gap analysis within a unified web-based platform, the proposed system delivers personalized, actionable advisory services to students and early-career professionals at scale. Experimental evaluation demonstrated that the AI-CEA system achieves a recommendation accuracy of 93.2%, substantially outperforming rule-based, signature-based, and single-model ML alternatives. High user satisfaction scores and strong skill gap identification completeness further validate the system's practical utility. The integration of real-time job market data ensures that recommendations remain aligned with current industry demand, addressing the temporal obsolescence that undermines static guidance systems. The proposed system represents a meaningful contribution toward democratizing access to high-quality career and education guidance. By making personalized advisory capabilities available through an accessible digital platform, AI-CEA has the potential to reduce career misalignment, improve graduate employability, and support more informed educational decision-making across diverse student populations. Future work will focus on longitudinal outcome integration, multilingual expansion, and mobile accessibility to further broaden the system's impact and applicability.

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