A personalized machine learning–based system to evaluate students’ skillset and analyze the gap between academia and industry for engineering students
S. Thavasi,
T. Revathi
Abstract:PurposeWith so many placement opportunities around the students in their final or prefinal year, they start to feel the strain of the season. The students feel the need to be aware of their position and how to increase their chances of being hired. Hence, a system to guide their career is one of the needs of the day.Design/methodology/approachThe job role prediction system utilizes machine learning techniques such as Naïve Bayes, K-Nearest Neighbor, Support Vector machines (SVM) and Artificial Neural Networks … Show more
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