AI-Based Resume Matching and Prediction

This survey paper explores the advancements in the realm of “AI-based Resume Matching and Prediction” by focusing on empowering candidates to predict their eligibility for specific companies based on their skills, job descriptions, and defined criteria. In recent years, artificial intelligence (AI) has been at the forefront of transforming recruitment processes, allowing for a more efficient matching of candidates with job opportunities. The primary objective of this survey is to provide an in-depth understanding of the methodologies, techniques, and technologies used in the integration of AI to facilitate this predictive capability. We analyze various AI approaches, ranging from natural language processing (NLP) to machine learning, and evaluate their effectiveness in matching candidate skills with the requirements stipulated in job descriptions. Additionally, we discuss the potential impact of such advancements on the job market, addressing the challenges and opportunities that lie ahead in enhancing the recruitment process for both candidates and employers. This survey serves as a comprehensive guide for researchers, practitioners, and organizations aiming to harness the potential of AI to optimize the recruitment journey.