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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM53009
Volume:
9 |
11 |
Nov 2025
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.
This paper presents an AI-powered mock interview platform developed to assist job seekers in enhancing their interview performance through an automated and realistic environment. The system integrates advanced speech recognition, natural language processing, and multimodal behavioural analytics to assess candidates’ communication skills, technical understanding, confidence level, and overall behavioural attributes. Unlike conventional interview preparation methods, the proposed platform provides instant feedback, personalized recommendations, and progress tracking to help users identify their strengths and areas for improvement. Experimental evaluations demonstrate that the system effectively enhances candidates’ preparedness and self-confidence by delivering adaptive and constructive feedback tailored to individual performance.
KEYWORDS
Publication Date
11/18/2025
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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No funding information available for this research.
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