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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM58556
Volume:
10 |
3 |
Mar 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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.
KEYWORDS
Publication Date
3/30/2026
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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