AI-powered resume screening system

Kulkarni, Sandeep and kurumkar, Prathmesh Rahul and Kadam, Vansh Sanjeev and Maradur, Vinut Prabhu (2025) AI-powered resume screening system. World Journal of Advanced Engineering Technology and Sciences, 15 (1). pp. 2263-2277. ISSN 2582-8266

The advent of artificial intelligence (AI) has revolutionized talent acquisition through the development of AI-powered resume screening systems. These advanced tools utilize machine learning, natural language processing and data analytics to automate the initial evaluation of job applicants’ resumes, significantly enhancing the efficiency and objectivity of the hiring process. By analyzing key elements such as skills, experience, education and job-specific keywords, these systems filter and rank candidates, delivering a shortlist of top matches to recruiters. This technology reduces manual effort, minimizes human bias and accelerates decision-making in recruitment. However, challenges such as potential algorithmic bias and overemphasis on keyword matching highlight the need for careful design and oversight. This abstract explores the functionality, benefits, and implications of AI-powered resume screening systems, underscoring their transformative role in modern human resource management. The emergence of artificial intelligence (AI) as a cornerstone of modern technology has profoundly reshaped the landscape of talent acquisition, giving rise to AI-powered resume screening systems that redefine the recruitment paradigm. These cutting-edge tools leverage an intricate blend of machine learning algorithms, natural language processing techniques and advanced data analytics to automate and enhance the initial assessment of job applicants’ resumes. By systematically evaluating critical components such as technical and soft skills, professional experience, academic credentials, and job-specific keywords, these systems efficiently filter and rank candidates, producing a concise shortlist of the most promising individuals for recruiters to review. This transformative technology not only alleviates the burden of manual resume review – a process historically plagued by in efficiency and subjectivity – but also minimizes human bias, accelerates decision-making timelines, and elevates the overall precision of the hiring process. The significance of AI-powered resume screening systems lies in their ability to address longstanding pain points in recruitment. Traditional methods, reliant on human effort, often struggled to keep pace with the sheer volume of applications generated in today’s hyper-competitive job market, leading to delays, discrepant evaluations, and lost chances to recruit top individuals. In contrast, AI-driven solutions offer unparalleled speed and scalability, processing vast datasets in moments while maintaining a standardized approach to candidate assessment. Beyond efficiency, these systems introduce a layer of objectivity by focusing on data-driven insights rather than subjective impressions, fostering fairer and more inclusive hiring practices when properly calibrated.