Article Info

Published 09 Jul 2025

Volume / Issue 1 / Issue 3

Pages 19–24

DOI

10.64823/ijter.2503003

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Open Access Research Article

6 pages PDF

AI-BOT Mock Interviewer

by , ,

International Journal of Technology and Emerging Research 2025 , 1 (3) , 19–24

10.64823/ijter.2503003

Received: 22 May 2025 Published: 09 Jul 2025

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Cite this article

APA

Mr. Nagaraju Vassey, Mr. Manne Naga VJ Manikanth, & Mr. MANTHRI GANESH RAO (2025). AI-BOT Mock Interviewer. International Journal of Technology and Emerging Research, 1(3): 19–24. https://doi.org/10.64823/ijter.2503003

MLA

Mr. Nagaraju Vassey, et al. "AI-BOT Mock Interviewer." International Journal of Technology and Emerging Research, vol. 1, no. 3, 2025, pp. 19–24. https://doi.org/10.64823/ijter.2503003

Chicago

Mr. Nagaraju Vassey, Mr. Manne Naga VJ Manikanth, Mr. MANTHRI GANESH RAO. "AI-BOT Mock Interviewer." International Journal of Technology and Emerging Research 1, no. 3 (2025): 19–24. https://doi.org/10.64823/ijter.2503003

BibTeX

@article{Mr. Nagaraju Vassey2025ai-bot, author = {Mr. Nagaraju Vassey and Mr. Manne Naga VJ Manikanth and Mr. MANTHRI GANESH RAO}, title = {AI-BOT Mock Interviewer}, journal = {International Journal of Technology and Emerging Research}, year = {2025}, volume = {1}, number = {3}, pages = {19–24}, doi = {10.64823/ijter.2503003}, }

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

© 2025 The Author(s). Published by IORO Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, distribution, and reproduction in any medium, provided the original author and source are credited, a link to the license is provided, and any changes are indicated.