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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM46933

AI MOCK INTERVIEWER

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM46933

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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.

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Authors

DAK

D.Vishal Anup Kumar

V

V.Ranjith

M

M.Dinesh

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Abstract

AI Mock Interviewer is a smart interview preparation platform that uses Gemini AI to mimic actual interview situations. It creates dynamic, role-based questions and employs speech-to-text and NLP to evaluate user answers in real time. Developed with Node.js, MongoDB, on the backend, and React.js on the frontend. The AI assesses content quality, clarity, and relevance, providing instant, personalized feedback. Through adapting to user performance, it facilitates incremental skill improvement. The system provides a self-paced and scalable substitute for the conventional mock interview. Its chat interface simulates real interviews, which increases user readiness. Repeated learning cycles allow users to get better with each session. This project closes the gap between theory and actual interview experience.

KEYWORDS

AI Interview Simulator Gemini AI Mock Interviews Speech-to-Text Natural Language Processing Real-Time Feedback Personalized Learning Interview Preparation Node.js React.js MongoDB

Cite This Article

D.Vishal Anup Kumar, V.Ranjith, M.Dinesh, "AI MOCK INTERVIEWER," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025.

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Publication Date

5/4/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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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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