Early Placement Prediction System for Engineering Students of Indian Universities

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

Suggested Citation: Suggested Citation

Katkar, Dr. Vijay and Iyer, Sharan and Kemkar, Chinmay and Kolangara, Nikhil, Early Placement Prediction System for Engineering Students of Indian Universities (May 18, 2019). Proceedings of International Conference on Communication and Information Processing (ICCIP) 2019, Available at SSRN: https://ssrn.com/abstract=3419952 or http://dx.doi.org/10.2139/ssrn.3419952