Abstract

Abstract: There is a pattern among understudies to, for the most part, settle on professional ways in light of their colleagues' choices or, on the other hand, the most significant compensation-paying jobs.They neglect to know their assets and pick their careers randomly, leading to frustration and demoralization. Moreover, while recruiting thecandidates, recruiters need to assess them in all different aspects. Consequently, there is a requirement for a framework that helps students decide on a job role best suited for them based on/her skillset and other evaluation metrics, which is now possible due to advancements in deep learning. This project proposes an automated system using an Artificial Neural Network, which considers the individual's personality traits and personal interests, and academics to predict which computer science job role would be best suited for them.

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