Application of a Test Survey System Based on Cluster Analysis and Machine Learning in the Tasks of Professional Selection of Specialists
The research is aimed at developing a test survey for the effective selection of specialists in the IT field, based on the use of modern machine learning methods, particularly cluster analysis using the k- means method. Given the limited access to existing testing platforms, which are typically available only to large companies on a paid basis, the decision was made to create an alternative web application. This application will become an accessible tool for a wider range of users and will allow automating the process of evaluating candidates' skills.