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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM57544

Agentic AI In Interview Automation

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM57544

Volume:

10 |

3 |

Mar 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM57544

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

AA

Akshaya Ajith¹

AK

Alokh K²

AA

Anusree A³

AM

Archana M⁴

PP

Pradheeba P⁵

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Abstract

Recruitment is a very crucial process for any organization because recruiting the right candidate directly influences productivity and growth. However, traditional interview methods have several drawbacks, including human bias, being time-consuming, not easily scalable, and lacking standardized candidate evaluation. Online interviews have recently become common with remote hiring, but they introduce their own set of challenges like impersonation, cheating, and no real-time monitoring. Recent developments in Artificial Intelligence have allowed for intelligent systems capable of executing complex decision-making tasks autonomously. Agentic AI-a goals-oriented branch of AI that focuses on the self-directed behavior of autonomous entities- has already seen considerable success across health, robotics, and autonomous systems. Drawing inspiration from the success of Agentic AI in healthcare decision-making, this research investigates its application in recruitment. This paper introduces IntelliHire-an Agentic AIpowered interview automation platform that independently conducts interviews, evaluates candidates fairly, and ensures integrity in the interview process. It aspires to minimize human interaction while offering a professional, adaptive, and humanlike interview experience

KEYWORDS

Agentic AI Interview Automation Intelligent Recruitment Voice-Based AI Adaptive Questioning Cheating Detection Autonomous Decision-Making

Cite This Article

Akshaya Ajith¹, Alokh K², Anusree A³, Archana M⁴, Pradheeba P⁵, "Agentic AI In Interview Automation," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 3, Mar 2026. https://doi.org/10.55041/IJSREM57544

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Publication Date

12/2/2026

Peer Review Type

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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