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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM24451
Volume:
7 |
7 |
Jul 2023
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.
After the pandemic, Every sector has experienced the impact of change. corona. Many people are unemployed and soon we will see how the world needs more job seekers. Since there is no such process where you can conduct interviews and screening, you must be ready to engage in the recruitment process with IT solutions. Now we have voice recorders or skype phone alerts that are not yet undergone feature analysis. So, overcoming all these shortcomings and introducing a new era of the interview process is the main goal of the project. With artificial intelligence systems, we can predict human skills and recommended types of work, as AI will be introduced in today’s industry, namely recruitment agencies. By utilizing a range of machine learning algorithms, including the convolutional neural network, Naive Bayes, Random Forest, and SVM, significant progress can be made.. Employee sentiment, voice to text, face to face company verification process will be implemented in this project. In the future, the system can access user logs that can analyze the effectiveness and efficiency of users. Also, employees are able to get benefit from this system by analyzing their emotions and personality, we can see such a system in future interviews.
KEYWORDS
Publication Date
8/6/2023
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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