A PLATFORM FOR AUTOMATING INTERVIEWS USING ARTIFICIAL INTELLIGENCE

Relevance The relevance of developing a platform for automating interviews using artificial intelligence is determined by a number of factors. The concept of this product touches on two important areas: information technology and human resource management. Many industries actively need to replace outdated methods of organizing HR processes with innovative solutions using artificial intelligence. Secondly, in the course of the work, the study of the possibilities of integrating various machine learning methods into recruitment processes is touched upon, which has been an urgent topic for the past 5 years. The current implementation of the traditional approach to recruitment often faces many difficulties, from the high complexity of the candidate selection processes to the difficulty of assessing their professional and personal qualities. In this regard, the search and implementation of innovative solutions aimed at optimizing and improving the recruitment process is coming to the fore. Aim of research To develop a web platform for automating the recruitment process using artificial intelligence technologies, which will improve the efficiency of hiring and the accuracy of evaluating candidates. Research methods Analysis of existing business processes, software development using Next.js and Prisma, and machine learning algorithms for generating test tasks, facial recognition and analyzing the emotional background of candidates. Results A web platform has been developed that successfully automates the recruitment process in the oil and gas industry by integrating artificial intelligence technologies to generate test tasks, face recognition and analyze the emotional background of candidates. The platform provides high performance and scalability through the use of modern technologies such as Next.js, Prisma, WebSockets and peer-to-peer connections. The implemented functionality, including the creation and publication of vacancies, user registration and online interviews, significantly increases the efficiency and accuracy of evaluating candidates, which makes the platform competitive in the market.