Abstract: This paper describes the personality classification experiment by applying k-means clustering machine learning algorithms. Several previous studies have been attempted to predict the personality types of human beings automatically by using different machine learning algorithms. However, only few of them have obtained good accuracy results to classify a person into personality types. With the onset of the epidemic, everything has gone online, and individuals have been compelled to work from home. There is a need to automate the hiring process in order to enhance the efficiency and decrease manual labour that may be done electronically. If resume categorization were done online, then it would significantly save paperwork and human error. The recruiting process has several steps, but the first is resume categorization and verification. Automating the first stage would greatly assist the interview process in terms of speedy applicant selection. Classification of resumes will be performed using Machine Learning Algorithms Random Forest.