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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/IJSREM58556

A Comparative Review On: Mock Interviewer Powered by AI- Intelligent System for Comprehensive Interview Preparation

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM58556

Volume:

10 |

3 |

Mar 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM58556

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

PU

Prof.Archana Ugale

MDA

Mr.Lokhande Dhanaraj Arjun

MUS

Mr.Gholap Utkarsh Sanjay

MVH

Mr.Patel Viraj Harishchandra

MSJ

Mr.Lawande Sagar Jitendra.

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Abstract

The increasing complexity and competitiveness of job markets have amplified the necessity for effective interview preparation tools. This research proposes the development of “Mock Interviewer Powered by AI,” an integrated, intelligent system designed to enhance job seekers’ readiness through a suite of modules: aptitude assessment, resume analysis, AI-driven live interview simulation, and detailed personalized feedback. Leveraging state-of-the-art Natural Language Processing (NLP) and Machine Learning (ML) techniques, the system evaluates communication skills, technical proficiency, and non-verbal cues, providing users with actionable insights to improve their performance. Experimental evaluation demonstrates that the system augments user performance consistency by 30%, indicating significant potential to democratize interview preparation and reduce barriers posed by limited access to professional guidance. This paper details the system architecture, methodologies, evaluation results, and discusses future directions, situating the work within the broader context of AI- driven human resource technology.

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Cite This Article

Prof.Archana Ugale, Mr.Lokhande Dhanaraj Arjun, Mr.Gholap Utkarsh Sanjay, Mr.Patel Viraj Harishchandra, Mr.Lawande Sagar Jitendra., "A Comparative Review On: Mock Interviewer Powered by AI- Intelligent System for Comprehensive Interview Preparation," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 3, Mar 2026. https://doi.org/10.55041/IJSREM58556

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Publication Date

3/30/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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

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