CredMatch

CredMatch

Ms. Surabhi Abhijit Salunke1, Dr. Rakhi O. Gupta2, Nashrah Gowalker3

1Student, Department of Information Technology, Kishinchand Chellaram College, HSNC University, Mumbai, India.

2Co-ordinator, I.T Department, Kishinchand Chellaram College, HSNC University, Mumbai, India.

3Assistant Professor, I.T. Department, Kishinchand Chellaram College, HSNC University, Mumbai, India.

Abstract –In an era where hiring biases persist and traditional recruitment methods remain inefficient, CredMatch redefines candidate evaluation through AI-powered resume parsing. Leveraging cutting-edge Natural Language Processing and fuzzy matching techniques, our system transforms raw, unstructured resume data into actionable insights by accurately extracting technical skills, educational background, and professional experience—without being influenced by demographic details. By focusing solely on merit, CredMatch fosters fair recruitment practices and streamlines the hiring process, enabling organizations to identify top talent with unprecedented speed and precision. This paper details the theoretical foundations, advanced algorithms, and comprehensive evaluation metrics that drive CredMatch, demonstrating its potential to revolutionize HR technology and promote equity in hiring.

Keywords: AI-powered resume parsing, Natural Language Processing (NLP), fuzzy matching, fair recruitment, skill extraction, bias mitigation, automated resume analysis, machine learning in HR.