XAI- Enabled Resume Screening System for Smart Recruitment

Abstract: The XAI-enabled Resume Analyzer is developed to automate and optimize the recruitmentprocess by intelligently evaluating and ranking resumes using advanced Natural Language Processingand Machine Learning techniques. The system extracts essential information from resumes, includingcandidates’ skills, work experience, educational qualifications, and overall job relevance, and matchesthese attributes with specific job requirements to assess candidate suitability. Machine Learning modelsgenerate ranking scores, while Explainable AI techniques are integrated to justify each ranking decisionby highlighting influential factors such as relevant skills and experience. This transparency enablesrecruiters to clearly understand why certain candidates are ranked higher than others, thereby increasingtrust in automated recruitment decisions. The proposed approach improves recruitment accuracy,significantly reduces manual screening time, and promotes fair hiring practices by minimizing hiddenbias and ensuring consistent evaluation criteria. Overall, the system provides reliable, explainable, anddata-driven insights that enhance the efficiency and quality of the recruitment process.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-09
DOI
https://doi.org/10.5281/zenodo.20609007
Primary Topic
Employer Branding and e-HRM
Type
article
Field-Weighted Citation Impact
0.00
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article

XAI- Enabled Resume Screening System for Smart Recruitment

Uma Maheswari Gurusamy, G. Gurulakshmi, M. Rohinipandi, S. Yazhini
Zenodo (CERN European Organization for Nuclear Research)
Employer Branding and e-HRM
article

XAI- Enabled Resume Screening System for Smart Recruitment

Uma Maheswari Gurusamy, G. Gurulakshmi, M. Rohinipandi, S. Yazhini
article en

Abstract

Abstract: The XAI-enabled Resume Analyzer is developed to automate and optimize the recruitmentprocess by intelligently evaluating and ranking resumes using advanced Natural Language Processingand Machine Learning techniques. The system extracts essential information from resumes, includingcandidates’ skills, work experience, educational qualifications, and overall job relevance, and matchesthese attributes with specific job requirements to assess candidate suitability. Machine Learning modelsgenerate ranking scores, while Explainable AI techniques are integrated to justify each ranking decisionby highlighting influential factors such as relevant skills and experience. This transparency enablesrecruiters to clearly understand why certain candidates are ranked higher than others, thereby increasingtrust in automated recruitment decisions. The proposed approach improves recruitment accuracy,significantly reduces manual screening time, and promotes fair hiring practices by minimizing hiddenbias and ensuring consistent evaluation criteria. Overall, the system provides reliable, explainable, anddata-driven insights that enhance the efficiency and quality of the recruitment process.

Zenodo (CERN European Organization for Nuclear Research)
Madurai Kamaraj University (IN)
Quality Education
Openalex Percentile: Top 4%
Employer Branding and e-HRM
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XAI- Enabled Resume Screening System for Smart Recruitment — Uma Maheswari Gurusamy, G. Gurulakshmi, M. Rohinipandi, S. Yazhini · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS