Year: 2025
Type: article
Abstract: This study introduces a novel candidate-job matching framework leveraging Generative AI (GenAI) as an alternative to conventional Natural Language Processing (NLP) techniques. While existing research predominantly focuses on NLP-based resume parsing and keyword matching, our methodology utilizes GenAI to produce comprehensive skill assessments by evaluating candidate qualifications against job descriptions. The framework extracts candidate profiles from CVs and analyses their alignment with job requirements, classifying proficiency levels into four tiers: Beginner, Intermediate, Competent, or Expert. This GenAI-driven approach not only demonstrates higher matching accuracy compared to traditional methods but also provides actionable insights for both candidates and hiring managers, thereby streamlining recruitment workflows.
Authors: Dr. J. M. Patil, Krishna R. Kolekar, Samarth V. Zamre, Aniket S. Galzalwar, Swastik P. Chaudhary
Language: English
Topic: AI and HR Technologies
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4410099719