Personality Detection for Recruitment Using Machine Learning

For the growth and development of organizations, they recruit candidates who are fit for the role and help in that progress. There are thousands of candidates who apply for a particular job role and it is a time taking process to go through each resume. A pre-test such as aptitude does not really reflect whether the candidate is a perfect fit for not only the role but also for the company’s values. That is where personality comes into the picture. It helps in the initial screening of the candidates revealing a bit about how a person behaves in different situation. In this paper, we are applying various machine learning and deep learning algorithms on three datasets and proposing a system which can be used by the recruiters along with the pre-test that is conducted by them. The personality indicators used are Myers-Briggs Type Indicator (MBTI) and O.C.E.A.N (the big five personality traits).