A combination of heterogeneity in the recruitment process among companies and rapidly evolving tech stacks has evolved interview preparation to be more complex than ever before, which means that job aspirants have to rely on multiple platforms to prepare for aptitude teams, technical questions, HR interviews and mock interviews leading to fragmented learning experience. In this paper, an AI-based interview preparation and guidance portal is implemented that provides a complete personalized learning ecosystem by amalgamating company-specific modules, technical and aptitude practice exercises, HR and behavioural training sessions with focus on mock interviews, as well as the chat bot feature. By utilizing artificial intelligence techniques, along with natural language processing, user behaviour gets analysed to derive adaptive learning road maps which strive for high learning efficiency, reduced preparation time, and improved interview results through a centralized data-driven approach.
Kumar et al. (Thu,) studied this question.
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