Authors: Dr. Bayomock Linwa André Claude, Mrs. Diagone Grace
Abstract: In modern days, getting his first job is a very hard process for newly graduated students. Several factors contribute to this issue: no experience, poor resume qualities, few knowledge of job market and required skills for a given job title, no real exposure to job interview (phone, virtual, physical). In the past 30 to 50 years, structured human resources agencies played great role helping young graduates to be well prepared for job readiness. Techniques as how to write a good resume, determining job title and job profile in a particular domain, how to handle a phone, virtual and physical interview were taught to a candidate. Traditional advisory systems are often insufficient in addressing these structural issues at scale. This paper presents an AI-powered web-based career development platform designed to enhance employability among students and job seekers in Côte d'Ivoire. The built application is called DIJOB (Digitalized Job), DIJOB integrates Groq’s LLaMA 3.3-70B large language model to provide four core services: intelligent job search with AI-based CV matching, automated résumé quality assessment, skill compatibility scoring against job descriptions, and a personalized eleven-module career coaching system. The coaching module includes salary estimation in FCFA, LinkedIn profile optimization, and interview preparation guidance. The system is implemented using Jakarta EE 10, GlassFish 7, MySQL 8, and a responsive XHTML frontend, following a three-tier architecture with a RESTful API layer. Results indicate that the platform provides real-time, actionable career insights, including résumé scoring, skill gap analysis, and personalized career recommendations. DIJOB shows strong potential in improving alignment between job seekers and employer expectations, thereby contributing to reduced skills mismatch and improved employability outcomes.
DOI: http://doi.org/10.5281/zenodo.21505674
