AI-Powered Career Matching System for University Students: Bridging Education and Employment

The rapidly evolving job market and the growing number of students entering the workforce present significant challenges for delivering career guidance in higher education. Traditional career counseling, involving face-to-face interactions with counselors, is facing a lot of limitations in efficiency and personalization [1]. The rise of Artificial Intelligence (AI) in the 21st century offers new solutions for complex pattern recognition and multi-factor matching. This research explores the transformative potential of AI in career guidance for future graduates through a comparative analysis of the three possible approaches: traditional counseling, AI-integrated counseling, and personalized AI-integrated counseling. Building on previous research of both traditional and AIintegrated counseling, this study investigates the potential of personalized AI through the design and implementation of an AI-driven web application crafted to empower future graduates in their career journeys. The platform collects comprehensive data via a structured questionnaire and an application programming interface (API) to generate a personalized recommendation. These recommendations are then assessed for accuracy against traditional counseling Moreover, a feedback platform is implemented to measure applicants’ satisfaction. Since findings show that while traditional counseling offers valuable emotional support, it lacks the efficiency and scalability of AI solutions. This paper highlights the need for an AI-personalized model that combines AI’s analytical strengths with the empathetic insights of human counselors, allowing for a data-driven personalized career advising.