Personality Prediction Through CV Analysis using Machine Learning Algorithms for Automated E-Recruitment Process

Personality of a person plays a crucial role in the organizational progress and also in the self-development process in an individual's life. One of the typical ways to predict the person's personality is either by a standard review or by scrutinizing the Curriculum Vitae of the candidate. The Conventional method of recruiting the candidates involves manual short listing of job seekers resumes according to the requirement of the company. In this work, a system that automates the task of segregating candidates based on eligibility criteria and personality evaluation in a recruitment process is proposed. To meet this requirement an online application is developed for the registration of candidate's details and analysis of candidate's personalities through an online Multiple-Choice Question (MCQ) test containing personality quizzes. Then the system analyzes professional eligibility by comparing the uploaded Curriculum Vitae trained datasets. This system employs a machine learning algorithm namely “Logistic Regression” which helps to choose fair decisions to recruit a suitable candidate. Thus, the final results of the personality quizzes will be sent to both candidates and the admin.