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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM41934
Volume:
9 |
2 |
Feb 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 project presents an AI-driven mock interview web application designed to enhance job preparation through realistic and interactive interview experiences. Key features of the application include user authentication via email and Google sign-in, ensuring secure access. The system leverages Gemini AI to generate tailored interview questions based on job descriptions provided by users. To simulate a real interview environment, the application enables webcam and audio recording. AI algorithms analyze user responses, offering detailed feedback, including correct answers and the detection of filler words such as “you know,” “like,” and “okay.”
KEYWORDS
Publication Date
2/28/2025
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.
Funding Information
No funding information available for this research.
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