ARTIFICIAL INTELLIGENCE SUPPORTED CAREER PLATFORM MODEL: A PROPOSAL FOR ADAPTIVE DEVELOPMENT IN COMPANIES AND TALENTS

Authors : Fatih Bildirici, Tunç Durmuş Medeni, İhsan Tolga Medeni, Demet Soylu, İbrahim Edib Kökdemir

Pages : 209-230

View : 41 | Download : 33

Publication Date : 2025-07-31

Article Type : Research Paper

Abstract :This study addresses the development of an Artificial Intelligence-based human resources platform that effectively bridges the gap between job seekers and employers. Through analysing the skills and abilities of job seekers with modern artificial intelligence algorithms such as deep learning and natural language processing, the platform recommends the most suitable candidates for the specific requirements of employers. It also provides personalised learning and development opportunities in line with the competencies required by employers to support the career development of users. This system, which evaluates job adverts and applications in a multidimensional way, uses a scoring mechanism and aims to increase the process satisfaction of both job seekers and employers by providing the most appropriate matches. The architecture, functioning mechanisms, algorithmic models and contributions to the user experience of the developed platform are analysed in detail in this study; at the same time, the advantages that this technology brings to human resources processes such as operational efficiency, impartiality and speed in decision-making processes are emphasised. Through these findings, the study reveals the transformative impact of AI-supported HR platforms on the sector and serves as a strategic guide for future applications. The implementation is also expected to meet the needs of both the private sector and public administration.
Keywords : Yapay Zeka, İnsan Kaynakları, Kariyer Platformu, Eğitim Modülü, Makine Öğrenimi

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