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The article is devoted to the consideration of the selection of specialists in the field of information technologies (IT) using the definition of competencies. The main advantages of using such a solution are analyzed, in particular, reducing the time for evaluating candidates, improving the objectivity of personnel selection, and increasing the speed of decision-making in the recruiting process. A client-server software product can usually help job candidates solve this problem. The system can compare the specialist's competencies with the requirements of employers and recommend vacancies that match his profile and competencies. This approach can help professionals identify their strengths and weaknesses, as well as find a suitable job for their future career development. A technical solution in the form of the development of an appropriate software product is proposed. Functional capabilities of the product, its architecture and potential options for use in practical situations are considered. An activity diagram is proposed to monitor the dynamic aspects of the system's functioning. This diagram shows that the user has the option to log in as a student or an employer. Using Lucidchart made it possible to quickly diagram the processes, systems and organizational structure of the team. This approach to diagrams proved that even complex ideas can be visualized even faster and more clearly, involving the entire team in the work. During the development of the software product, Figma became an essential tool for the graphic design team as well as for the web interface development team. This platform has gained popularity due to its many unique features. The implementation of such solutions helps to increase the competitiveness of companies. The proposed technical solution has significant potential to improve recruitment processes in any industry. The use of software products contributes to increasing the objectivity and efficiency of recruiting, which helps companies attract and retain the best specialists in their team.
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Zakharov et al. (2024) studied this question.
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