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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM59669
Volume:
10 |
4 |
April 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.
An AI-Based Interview Practice System is an intelligent platform designed to help candidates prepare effectively for job interviews using Artificial Intelligence technologies. The system simulates real interview scenarios by generating questions based on job roles, skills, and experience levels. It evaluates candidate responses using Natural Language Processing (NLP), speech recognition, and machine learning algorithms to provide instant feedback on content quality, confidence, communication skills, and body language (if video-based). The system analysis answers for relevance, grammar, tone, and technical accuracy while also assessing voice modulation and facial expressions to improve overall presentation skills. It can adapt question difficulty based on user performance, ensuring personalized learning and targeted improvement. The platform may include technical, HR, and behavioral interview modules, along with performance analytics and progress tracking. By offering real-time feedback and performance insights, the AI-Based Interview Practice System helps candidates identify strengths and weaknesses, reduce interview anxiety, and enhance their confidence. This system provides an accessible, cost-effective, and scalable solution for students and job seekers preparing for competitive recruitment processes.
KEYWORDS
Publication Date
9/3/2026
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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