Student-Industry Matching for Internship Placement

Abstract

In this project, a profile matching approach is proposed to assist internship placement tasks. Students often have difficulty finding and applying for internship placements, while companies spend much time sorting applications. Computer-assisted applications help job placement and onboarding tasks by mapping the potential job seekers to the corresponding companies. However, lack of focus put on internship placement, as the student profiles are limited to academic achievement without extensive work experience. A student-industry profile matching approach is proposed to evaluate students’ profiles and map the academic criteria to potential companies offering internship placement. The fuzzy matching technique is used to model the correlation ratio between the student profiles and the industry profiles.