ITM Web Conf.
Volume 37, 2021International Conference on Innovative Technology for Sustainable Development (ICITSD-2021)
|Number of page(s)||5|
|Section||Innovative Technology for Sustainable Development|
|Published online||17 March 2021|
A Deep Learning Model to predict the Industry Readiness of Engineering Students Community
Assistant Professor/CSE,Rajalakshmi Institute of Technology, Chennai.
2 Professor/CSE, Dhirajlal Gandhi College of Technology, Salem.
3 Assistant Professor/MBA, SRMValliammai Engineering College, Chennai.
4 Professor/MBA, Velammal Engineering College, Chennai.
* Corresponding author: firstname.lastname@example.org
Industry readiness of Engineering students community is a big challenge in the recent campus recruitments. 21st century skills are completely mapped with the technical and non – technical knowledge background of the engineering graduates. In this paper the work narrated the process of identifying the parameters for skill assessment of the candidates and derived a learner model using deep learning framework. Further the model can be used to predict the employability readiness of candidates.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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