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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM44665

Artificial Intelligence based Virtual Interviewing Platform

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM44665

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM44665

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PIJ

Prof. Indira Joshi

AM

Armaan Manoj

GC

Ganesh Chavan

TB

Tejas Bhosale

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Abstract

This project aims to develop a virtual voice-based interviewer powered by advanced natural language processing (NLP) technologies to address the inefficiencies and biases in traditional hiring methods. By automating the interview process and simulating human interactions, the system will assess candidates in real-time, evaluating the content of their communication. This approach ensures consistent and fair evaluations, reducing biases while providing hiring managers with data-driven insights to make more informed decisions. Ultimately, the virtual interviewer seeks to streamline the hiring process, improve talent acquisition outcomes, and enhance the overall candidate experience

KEYWORDS

Artificial Intelligence Machine Learning Virtual Interview Gemini Django NLP API.

Cite This Article

Prof. Indira Joshi, Armaan Manoj, Ganesh Chavan, Tejas Bhosale, "Artificial Intelligence based Virtual Interviewing Platform," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/IJSREM44665

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Publication Date

4/16/2025

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Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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