CAREER COUNSELING SYSTEM USING MACHINE LEARNING

Abstract: As more and more opportunities are originating in today's technical world engineering students are getting more options to choose their field of interest from. Hence, it becomes very important for them to be aware of their interests and capabilities at early stages of their career. This will help them start early, and target their efforts in improving their performance. They can assess themselves on all grounds and work on their weaknesses. Even the recruiters assess students in these aspects before recruiting them for a particular job role. This will help both candidates and recruiters to analyze and evaluate the candidate's performance in various areas and suggest the best job profile for him.This paper mainly concentrates on the career area prediction of computer science domain candidates. keywords- Career Counseling, SVM, Decision Tree, Feature Selection, XG Boost