Early Placement Prediction System for Engineering Students of Indian Universities
8 Pages Posted: 15 Jul 2019 Last revised: 30 Sep 2019
Date Written: May 18, 2019
Engineering is considered as one of the competitive field wherein getting a good profile job with decent salary as a fresher is challenging. The demand for employable students is increasing day by day. This paper presents an approach for early placement prediction using scores of 10th, 12th board examination and Multilayer Perceptron. The idea is to predict the possibility of placement after the admission of student in the institution so that institute can train the probable week students in more efficient manner for placement drives. The proposed approach is tested using placement data collected for past four academic years of SIES Graduate School of Technology, Navi Mumbai. Experimental results support the effectiveness of the proposed approach.
Keywords: Early Placement Prediction System, Employability Improvement, Multilayer Perceptron, Decision Tree
JEL Classification: Y60
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