Artificial Intelligence-Based E-Recruitments System

In order to maintain well-rounded competences in today's global businesses, organisations seek efficient methods to attract the best qualifications and candidates to maintain a high-level, qualified workforce. Currently, organisations in Saudi Arabia receive a tremendous number of job applications which, require manual selection and identification of the best candidates. This is considered to be a time-consuming process that requires personnel and resources. In this paper, we develop a new e-recruitment support system for organisations that can assess the experience, qualifications and suitability of a candidate applying for a specific job in a company or governmental organisation. In the proposed work, a "codeigniter" framework is used which is the main interface platform for the graphical user interface dashboard to filter the input data of all candidates. The proposed system is built experimentally using mySQL and PHP servers. For the quantitative survey, the Cronbach method is implemented to assess the reliability and validity of the survey. The quality achieved is 94%. The system should analyze job requirements and match the skills of potential employees, selecting the best person for short-listing. Hence, the human factor in the selection process can be eliminated.