Methodology for Implementing Artificial Intelligence Technologies in the Recruitment Process of the Armed Forces of Ukraine
Abstract
Purpose: is the search for effective methods and innovative scientific and technical solutions to increase the efficiency of the process of searching and selecting candidates for military service during recruitment in the Armed Forces of Ukraine.
Method: a machine learning-based analysis and forecasting method using the Random Forest algorithm to identify the best candidates for military service according to a given position.
Findings: developed, trained, and tested a machine learning model that searches and selects the best candidate for military service based on their characteristics.
Papertype: scientific and practical.
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References
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Copyright (c) 2025 Oleksandr Sampir, Ilona Sampir, Anna Fedorenko
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