Article
AI-BOT Mock Interviewer
International Journal of Technology & Emerging Research · Published 09 Jul 2025
International Journal of Technology & Emerging Research / Archives
Authors
Mr. Nagaraju Vassey, Mr. Manne Naga VJ Manikanth, Mr. MANTHRI GANESH RAO
Mr. Nagaraju Vassey
Mr. Manne Naga VJ Manikanth
Mr. MANTHRI GANESH RAO
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: Mock Interviewer; Artificial Intelligence; Drizzle ORM; Clerk; Interview Quality