An Intelligent Agent Based Talent Evaluation System Using a Knowledge Base

In the current age of recession, Human Resource department of every organization is facing a real challenging task of recruiting right talent peoples who can do the project in different problem domain and complete it within timeline. Now days, we can see huge number of applicants submitting their resumes for any single opening in the organization. So, the main responsibility of any HR Personnel is to propose right talent pool to the interviewers in order to save their time in selecting the right talent as employee for their organization. In the talent pool set up phase, HR faces the problem of making a decision whether to include the applicant into talent pool or not. Many HR Tools are available to support the decision making of HR Personnel. However, the accuracy of decision making still can not satisfy the HR personnel. Here, we proposed a two tier intelligent agent based architecture consisting of talent evaluation engine that acts on knowledge base constituted by domain experts and infers the pattern needed to make more consistent and accurate decision. Also, we suggested the intelligent resume processing method which is really helpful in making a decision more perfect. The practical implementation of our system shows that accuracy of talent evaluation is very much improved. Our proposed system increases the job performance, reduces retention failure and explicit resignation.