One of the Pestering issues in these days is suicides in the young generation. For simple reasons, there are more and more suicidal cases observed all over the world as well as in India. Around 35.1 percentage of suicides are between the age group of 18-30 young adults as per NCRB (National Crime Record Bureau) India. Mere Backlogs in education or love failure or unemployment, professional or career problem, or a fall in Social Reputation are some of the reasons for suicides. 3.7 percentages of suicides are noticed in educational graduates. Failure or depression status is based on the way one takes situations. Education should impart the required skills to handle different situations that life brings. It should contribute to the overall development that includes academics, emotional balance, and a positive attitude. Hence, it requires conducting a study analyzing student’s reactions to a given situation. Identify the students with poor personality traits provide counseling in time and advise him or her to overcome Problems or Failures or depression situations. Identifying the Personality traits of a student will enable us to counsel the student accordingly. This work aims to classify a student as INTROVERT or EXTROVERT. This works collects 600 records of data from a survey questionnaire designed for Engineering College students on different aspects of personality traits. The ML algorithms like Decision Tree, Random Forest, SVM, KNN, and Naive Bayes were modeled with demonstrative 95 percentage Accuracy.