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AI-BOT Mock Interviewer

  • International Journal of Technology & Emerging Research
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Abstract

This paper presents an Innovative AI-Bot Mock Interviewer system designed to assist job seeker’s by providing real-time, intelligent feedback on virtual interviews. The system integrates advanced language models via OpenAI APIs within a secure Next.js, Drizzle ORM, and Clerk for secure user authentication. A key feature is its intelligent real time interview feedback mechanism. The frontend, built with Next.js, offers a smooth and interactive user experience. Evaluation results show the system delivers over 90% accurate and relevant feedback, with average response times under 2 seconds. This solution supports people by providing virtual mock interviews while preserving human oversight, ultimately enhancing interview quality and accelerating job seeker’s confidence Keywords: artificial intelligence; Mock Interviewer; Drizzle ORM; Clerk; Interview Quality

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Publication details

DOI
10.64823/ijter.2503003
OpenAlex
W7166099802
Document type
article
Language
EN
Source
International Journal of Technology & Emerging Research
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