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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM55442

An AI-Powered Platform for Mock Interviews and Career Preparation Using OpenAI (LLM’s) and Google MediaPipe

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM55442

Volume:

9 |

12 |

Dec 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM55442

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

PKSR

Puneeth Krishna S Rakunde1

PNU

Pooja N U2

SD

Shreshta Doggalli3

ITY

Iuka T Yeptho4

VP

Vinayak P5

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Abstract

We present a comprehensive AI-driven platform for interview preparation, built with the MERN stack, that integrates mock interviews, resume-building, and aptitude practice into a single application. Users can customize mock interviews by type (technical, HR, behavioral), difficulty, and job role. Interview questions are generated in real time from the user’s resume using the OpenAI ChatGPT API. Real-time facial expression and confidence feedback is provided via the Google MediaPipe Face Mesh model, displayed alongside the interview interface. The system also features a GitHub-integrated resume builder and an aptitude module covering Quantitative, Verbal, Logical, and Non-Verbal reasoning. Secure authentication is implemented with JWT tokens, and a dashboard presents performance analytics and personalized feedback. In preliminary testing, the system achieved prompt question generation (≈3.8s), high face-analysis FPS (24–30), and strong user satisfaction.

KEYWORDS

AI mock interview ChatGPT API MediaPipe Face Mesh resume builder GitHub integration aptitude tests MERN stack interview coaching.

Cite This Article

Puneeth Krishna S Rakunde1, Pooja N U2, Shreshta Doggalli3, Iuka T Yeptho4, Vinayak P5, "An AI-Powered Platform for Mock Interviews and Career Preparation Using OpenAI (LLM’s) and Google MediaPipe," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 12, Dec 2025. https://doi.org/10.55041/IJSREM55442

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Publication Date

12/23/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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3

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5

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This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

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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