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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM29202

CV Analysis and Personality Prediction System for Recruitment Process Using ML

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM29202

Volume:

8 |

3 |

Mar 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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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

VSP

Vikram S. Patil

PRR

Pranjal R. Rajole

SSG

Sakshi S. Gangurde

PSG

Pratik S. Gadekar

MVKW

Mr. Vipin. K. Wani

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Abstract

When studying people; determining one’s personality is vital since it provides insight into the individual’s thought. When working for a complex company, an individual’s personality is critical. There are various methods for determining an individual’s personality, but the most popular and straightforward is a short quiz. The quiz questions will be constructed so that they incorporate values from the Big Five personality model and help the developer create a personality report for the individual in question. When we examine the existing hiring and selection processes used by various firms, we can observe that employers typically select CVs manually, which is tedious, time-consuming, and requires a significant number of human resources. The purpose of this project is to create a system that, using the technology we’ll construct, automates an eligibility checking and aptitude evaluation of applicants throughout the selection process. It will be feasible to overcome the shortcomings of the traditional hiring process by creating a web application that examines a candidate’s CV and personality.

KEYWORDS

CV NLP Machine Learning Personality Prediction and Big Five Personality Model (OCEAN).

Cite This Article

Vikram S. Patil, Pranjal R. Rajole, Sakshi S. Gangurde, Pratik S. Gadekar, Mr. Vipin. K. Wani, "CV Analysis and Personality Prediction System for Recruitment Process Using ML," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 3, Mar 2024.

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Publication Date

12/31/45439

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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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No funding information available for this research.

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