Automated Candidate Evaluation: A Natural Language Processing and Machine Learning Paradigm for Intelligent Resume Screening

Authors

  • Kamireddy Tharun ,Dr. G.V. Ramesh Babu

Keywords:

Smart Resume Screening, Machine Learning, Natural Language Processing, Candidate Ranking, Recruitment Automation

Abstract

The increasing number of job applications received by organizations has made manual resume screening atime-consuming and resource-intensive process. Traditional recruitment methods often struggle to efficiently identify the most suitable candidates while maintaining consistency and fairness in candidateevaluation

References

Albaroudi, E.; Mansouri, T.; Alameer, A. A Comprehensive Review of AI Techniques for Addressing Algorithmic Bias in Job Hiring. AI 2024, 5, 383–404. [Google Scholar] [CrossRef]

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Published

2026-06-14

How to Cite

Kamireddy Tharun ,Dr. G.V. Ramesh Babu. (2026). Automated Candidate Evaluation: A Natural Language Processing and Machine Learning Paradigm for Intelligent Resume Screening. Journal of Computational Analysis and Applications (JoCAAA), 35(6), 84–92. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5575

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Section

Articles