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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 04

Published on: April 2026

AN AUTOMATED INTERVIEW EVALUATOR USING NLP

Vedant C. More Virendra Parteti Piyush Agrawal Adnyesh Bambal

Dr. Yogita A. Dhumale

Department of Computer Science & Engineering Prof. Ram Meghe Institute of Technology & Research (PRMITR) Badnera Amravati Maharashtra India

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

In this paper, we propose an Automated Interview Evaluator with the use of Natural Language Processing (NLP). The system simulates interviews, assesses candidate answers, and produces a structured feedback report. It combines a web frontend, Python Flask backend, SQL database, and Google Gemini AI engine and allows for voice usage through speech recognition and text-to-speak.

Keywords - NLP; Automated Interview; Recruitment System; Conversational AI; Google Gemini; Flask.

How to Cite this Paper

More, V. C., Parteti, V., Agrawal, P. & Bambal, A. (2026). An Automated Interview Evaluator Using NLP. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.562

More, Vedant, et al.. "An Automated Interview Evaluator Using NLP." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.562.

More, Vedant,Virendra Parteti,Piyush Agrawal, and Adnyesh Bambal. "An Automated Interview Evaluator Using NLP." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.562.

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References


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Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
  • Authors retain copyright.
  • Peer Review Type: Double-Blind Peer Review
  • Published on: Apr 22 2026
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This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

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