Smart-Hire Personality Prediction Using ML

Abstract

Through technological changes, data science and artificial intelligence are altering the world. One of the most significant uses of machine learning is the classification of people based on their personality features. We can see many applications of machine learning in our daily lives. Each individual on the world has a distinct personality type. Targeting particular demographics has made it possible to make marketing campaigns more effective. This is made possible by the availability of high-dimensional data. Such personality-based promotions are quite effective at raising brand awareness and enhancing the appeal of goods and services. Using the Big Five personality traits, we created a system for predicting personality. Every day, a large number of students take competitive exams with a strong personality component. These tests' primary goal is to evaluate the student's talents and personality. Writing the personality test and assessing the subject's personality are made easier by this initiative. The person can view their personality type and make improvements to their personality depending on the results of the personality classification. In our paper, we tried to combine phrase frequency algorithm to determine a person's talent and personality prediction utilizing ML algorithms like KNN, CNN, and Logistic regression to predict a person's personality. From this model or system, users can quickly determine his personality and level of technical proficiency.