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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM42280

Advancing Interview AI-Driven Real-Time Mock Interview System for Enhanced Communication and Technical Skills

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM42280

Volume:

9 |

3 |

Mar 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem42280

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

AUP

Abhilash U P

AhH

Abdul haris H

HsMH

Hiba sherin M H

LB

Likitha B

Pk

Praveena k

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Abstract

The machine learning-based mock interview system allows candidates to practice technical, non-technical, and group discussion sessions through a virtual platform. It uses sentiment analysis, emotion detection, and grammar checking to evaluate candidates’ performance. The technical session assesses the use of correct technical terms, while the non-technical session grades emotional expression, grammar, and filler words. Group discussions are hosted on the Agora platform for real-time interaction. The system provides personalized feedback and recommendations for improving both communication and technical skills. Developed using Flask, Python, and JavaScript, it integrates features like live emotion detection and grammar error analysis for enhanced practice.

KEYWORDS

Machine learning Sentiment analysis Agora platform Personalized feedback

Cite This Article

Abhilash U P, Abdul haris H, Hiba sherin M H, Likitha B, Praveena k, "Advancing Interview AI-Driven Real-Time Mock Interview System for Enhanced Communication and Technical Skills," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025. https://doi.org/10.55041/ijsrem42280

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Publication Date

3/11/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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