Intelligent-Based Job Applicants’ Assessment and Recruitment System

Abstract

In recent years, companies faced the challenge of sorting resumes from job applicants, assessing, recruiting, and notifying applicants manually. This study is centered on creating a system that will automate this process and resolve the problems associated with manual recruitment processes. The waterfall model was employed in the analysis and design of the system in this study due to its simplicity and sequential nature. The system was built using PHP programming language and the database was designed using MySQL. In this study, an intelligent-based job applicants’ assessment and recruitment system was developed using artificial intelligence techniques. It brings phenomenal success to Human Resource Management in a very short time. The recruitment process, in general, would experience a foremost modification, delivering rapid, efficient, and cost-effective methods of discovering prospective workers. Numerous opportunities were identified when utilizing this technology in recruitment, which include speeding up the staffing procedure, computerization of responsibilities, and rising detachment. Results obtained during the evaluation display that this method enhances the correctness of toning the right applicants with the right jobs. However, this system is still open to upgrading in the future for any researcher who finds this to be of interest.