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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM28918

Video based Interview Assessment System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM28918

Volume:

8 |

2 |

Feb 2024

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

AD

Abhijit Darade

AK

Ayush Kamble

AS

Anushka Satav

PRR

Prof. Rasika Ransing

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Abstract

The evolving job interview landscape, driven by technological advancements, has given rise to a pressing challenge in effectively assessing candidates in the era of virtual interviews and remote hiring. To address this, a video-based IAS is introduced, offering a comprehensive solution by integrating innovative features. IAS leverages cutting-edge technologies to analyze audio tones, enhancing the evaluation of candidates’ communication skills by assessing confidence and clarity. The system incorporates facial sentiment analysis to gauge emotional expressions, providing insights into interviewee engagement and enthusiasm. IAS streamlines the hiring process by automating candidate comparisons, thereby saving recruiters valuable time. In essence, IAS represents a holistic and efficient approach to modernizing the interviewing and hiring process, revolutionizing candidate evaluation and selection in the digital age.

KEYWORDS

Interview Assessment System (IAS) Convolutional Neural Networks (CNN) Deep Learning Machine Learning.

Cite This Article

Abhijit Darade, Ayush Kamble, Anushka Satav, Prof. Rasika Ransing, "Video based Interview Assessment System," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 2, Feb 2024.

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Publication Date

12/31/45351

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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