Demonstrates improved recruitment accuracy in candidates, suggesting fair hiring practices.
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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Uma Maheswari Gurusamy, G. Gurulakshmi, M. Rohinipandi, S. Yazhini (2026) studied this question.
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