Abstract
In the ever-evolving and competitive job market, presenting a compelling resume has become critical for job seekers to secure interviews and land their desired positions. However, manually reviewing and assessing a vast number of resumes can be a time- consuming and laborious task for re- cruiters, often leading to inefficiencies and potential biases in the hiring process. Automatic Resume Quality Assessment (ARQA) systems have emerged as promising solutions to address these challenges, leveraging the power of artificial intelligence (AI) and natural language processing (NLP) techniques to automate the resume evaluation process. This survey paper delves into the fascinating world of ARQA, providing a comprehensive overview of the existing approaches, techniques, challenges, and promisingfuture directions.
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