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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM60769
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.
â Securing employment in the current job market is increasingly challenging, and effective interview preparation remains a significant hurdle for many candidates. Common preparation methods such as online videos, peer mock sessions, and generic question banks often fail to provide meaningful performance insights or actionable feedback. This paper presents a web-based platform designed to address these limitations. The system makes use of the Groq AI Engine API to conduct live mock interviews, dynamically generate role-specific questions, and evaluate candidate responses in real time. In addition, the platform incorporates an aptitude assessment and two coding challenges to strengthen technical proficiency. The frontend is developed using ReactJS, while Firebase Firestore manages backend data, including user records, performance scores, and session history. Overall, the system delivers a reliable, efficient, and user-centered solution for interview preparation, providing candidates with practical insights and measurable performance improvements.
KEYWORDS
Publication Date
4/20/2026
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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