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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM28918
Volume:
8 |
2 |
Feb 2024
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.
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
Publication Date
12/31/45351
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.
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