Personality Predictor System using Machine Learning Model

Abstract

The personality of humans has played a major role in an individual’s life along with the development of the organization that the individual works for. Nowadays, many organizations have started recruiting the candidates based on the personality of the candidates. They are given a particular questionnaire to attempt with certain fixed options; the candidates have to answer accordingly. The questionnaire is usually based on a model called Big Five model which has the traits such are Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism. Another system that exists is through CV based analysis. The candidates have to upload the CV in the specified format. The system scans the CV and determines the skills that the candidate is good in and whether the candidate is fit for the organization. The project combines the above systems specified above and presents it as a combination of both as a single system. The questionnaire system in the project uses the logistic regression algorithm to determine an adjective determining the personality of the person. The percentages of the five traits that user possess is also presented to the user. The second system uses the Term Frequency algorithm to scan the details and determine the skill that has the highest frequency and determine that as the skill that user is good in.