The persistent issue of job-skills mismatch in the Philippine higher education system continues to hinder graduate employability, particularly in high-demand fields such as analytics and artificial intelligence (AI). Despite various efforts, many institutions still rely on traditional career guidance methods that fall short in aligning student competencies with evolving industry requirements. This gap is especially evident at Eastern Visayas State University (EVSU), where limited data-driven tools are available to assess and support students' career readiness. To address this challenge, the study developed a data-driven competency assessment feature grounded in the Philippine Skills Framework for Analytics and Artificial Intelligence (PSF-AAI). The tool enables graduating students to self-assess their proficiency across AI and analytics competencies and receive targeted career pathway recommendations. Utilizing the Software Development Life Cycle (SDLC), the system was designed, implemented, and tested with 165 graduating students. Results demonstrate that the platform effectively aligns student competencies with industry standards, enhances career guidance services, and improves employability in the digital economy. The study underscores the value of integrating standardized competency frameworks into educational practices to promote workforce readiness and support national development objectives. © 2025 IEEE.
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