Career Prediction Model Using Data Mining and Linear Classification

When one decides a career, this choice can shape ones life entirely. Recently, more and more people have begun to re-evaluate their career decisions and change careers at a later stage in life. This can be prevented by proper counselling of young teenagers before they begin their graduate studies. To solve this problem, data of existing students is used, where the personalities, aptitude and student general information information is mapped with their careers. The created Intuitive Career System uses a variety of questions that students have to answer to test their aptitude as well as students background questions. The students personalities are determined using their social media accounts by means of the Facebook Graph API. The answers are then entered into the created model to predict the career that matches the students aptitude and personality. The model gives an average accuracy of 77.41% for the aptitude, 75.4% for personality, and 60.09% for the background information. This is a realistic approach to counselling since it takes into account both personality and aptitude, which are responsible for career decisions.