NLP IN RECRUITMENT SYSTEMS: CHALLENGES AND OPPORTUNITIES

Author(s)	Vijay Bhukya
Country	India
Abstract	Natural Language Processing (NLP) is revolutionizing recruitment systems, automating processes such as resume parsing, candidate matching, and job description analysis. While its implementation enhances efficiency and reduces time-to-hire, challenges like algorithmic bias, data privacy, and adapting to dynamic job markets persist. This paper provides an in-depth analysis of the opportunities and challenges of using NLP in recruitment systems and proposes a phased implementation plan to address these issues effectively.
Keywords	NLP, AI, CI/CD, Jenkins, Devops, Cloud
Field	Engineering
Published In	Volume 6, Issue 6, November-December 2024
Published On	2024-12-13
Cite This	NLP IN RECRUITMENT SYSTEMS: CHALLENGES AND OPPORTUNITIES - Vijay Bhukya - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.32976
DOI	https://doi.org/10.36948/ijfmr.2024.v06i06.32976
Short DOI	https://doi.org/g8wkk7

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