In Morocco, high school students face significant challenges in navigating their path to higher education and employment, with current career guidance tools being limited to manual processes and basic job-matching websites. This paper presents an innovative AI-based system that transforms career planning for Moroccan students by providing intelligent, future-focused educational and career recommendations. Our research critically compares the effectiveness of this AI agent against existing solutions in Morocco, demonstrating improvements in accuracy and personalization. The system leverages advanced natural language processing (NLP) and AI techniques to analyze the evolving job market and higher education landscape in Morocco. By employing a semantic approach and contextual understanding, it maps educational pathways to future career opportunities. At its core, the system is powered by a sophisticated AI agent and a Large Language Model (LLM), significantly enhancing its precision and contextual awareness. This AI-driven approach allows for a nuanced analysis of educational programs and job market trends, aligning recommendations with current needs and future economic demands.

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The Career Agent AI: Bridging Education and Employment with Smart Recommendations

  • Hassan Silkhi,
  • Brahim Bakkas,
  • Khalid Housni

摘要

In Morocco, high school students face significant challenges in navigating their path to higher education and employment, with current career guidance tools being limited to manual processes and basic job-matching websites. This paper presents an innovative AI-based system that transforms career planning for Moroccan students by providing intelligent, future-focused educational and career recommendations. Our research critically compares the effectiveness of this AI agent against existing solutions in Morocco, demonstrating improvements in accuracy and personalization. The system leverages advanced natural language processing (NLP) and AI techniques to analyze the evolving job market and higher education landscape in Morocco. By employing a semantic approach and contextual understanding, it maps educational pathways to future career opportunities. At its core, the system is powered by a sophisticated AI agent and a Large Language Model (LLM), significantly enhancing its precision and contextual awareness. This AI-driven approach allows for a nuanced analysis of educational programs and job market trends, aligning recommendations with current needs and future economic demands.