IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661,p-ISSN: 2278-8727, Volume 22, Issue 1, Ser. IV (Jan - Feb 2020), PP 48-55 www.iosrjournals.org DOI: 10.9790/0661-2201044855 www.iosrjournals.org 48 | Page Design and Implementation of an Expert Recruitment System IhediohaUchechi M 1 , Dr. Modesta Ezema 2 IhediohaUchechi. M 1 Department of Computer Science University of Nigeria, Nsukka, Dr. Modesta Ezema 2 , Department of Computer Science University of Nigeria, Nsukka, Abstract: Recruitment is not as simple as it sounds. Every failed recruitment is a set back to the employers as this may result to a catastrophic loss. It is therefore empirical to look beyond the manual recruitment process to automated process and the field of expert system (ES) has offered us a hand shake towards this transition. The act of merging of technologies in the Internet and the field of expert systems has offered new ways of integration of processes and knowledge distribution. This has not left the field of recruitment with a vacuum. The researcher will develop a web-based expert recruitment system that will assist human skills in recruitment selection procedures. However, there has been a general lack of research in the area of web-based expert recruitment systems (ERS). The researcher addresses the issues associated with the design, development, and use of web- based ERS from a standpoint of the Job seeker, the System administrator and the organizations (Employers). The original theory and concepts in conventional ES were reviewed and a knowledge engineering framework for developing them was revisited. The study considered the design of an ERS which is used to select candidates for a most suitable job with accuracy of about 98%. KeyWord: Expert System (ES), Artificial Intelligence (AI),ExpertRecruitment System (ERS), Web-Based Testing (WBT), --------------------------------------------------------------------------------------------------------------------------------------- Date of Submission: 12-03-2020 Date of Acceptance: 27-03-2020 --------------------------------------------------------------------------------------------------------------------------------------- I. Introduction Different methods of recruitment abound as used by various companies and establishments. One may even want to inquire the reason behind companies engaging with careful recruitment process. Recruitment is vital public relation force; the truth is that the quality of any workforce will ultimately impact on the society and the company both in bottom line profit and public relations image [1]. Most companies accept resumes and job application through recruitment websites in line with various job posting or advertisement [2]. In this case personnel and recruitment officers will require doing manual screening of each application which is no doubt a rigorous and cumbersome process. This kind of process is overtly identified to be time taking as well will require more numeric staff strength to handle and most of the times will involve cross checking due to factor of human accuracy limitation. One can also say in summary that human factor is a major source of inaccuracy andinconsistency in results. There are many approaches and techniques for automating the recruitment such as collaborative filtering to match the candidate for the given job [3]. Certain recruitment and selection patterns impose social barriers for disabled people [2] butquality recruitment process which is as a result of Expert screening procedure or simply put Expert Recruitment System (ERS) is key and the solution to the flaws of most of this limitationin recruitment selection. Truly, the mentality of searching and selecting of applicants for employment based on performance on their certificate is another challenge of most employers today. This work is therefore geared towards overcoming the inherent challenges of social and manual recruitment exercise [4] thereby avoiding the selection of less reliable, less competent and less suitable applicants and also recommending the best fit for employment interview. This work is designed to create a solution that will facilitate the speed in recruitment process and improve on the quality of candidates recruited. This design will achieve this by applying some sort of fuzzy theory concept in statistical analysis of information for each candidate, which is inan Expert system. We will develop an Expert Recruitment System that can establish links with other employment websites. We can agree that the advent of internet has created a progressive development of most process from manual to automation, and recruitment exercise is not left behind. Web based recruitment has emerged and is taking the lead in human resource exercise. Hence, we have identified the challenges facing some recruitment agents and processes and these challenges have also been addressed likewise in this work. We have identified the present challenges facing the recruitment system in Nigeria and they are manual recruitment processes and the non-expert web- based recruitment system. The research aims at creating a functional expert recruitment system that can address the existing issues with the following objectives: 1. To select and hire appropriate candidates suitable for the specified Job