Ai-Based Resume Screening and Candidate Ranking: An Intelligent Approach to Efficient Recruitment
Year: 2026
Type: article
Abstract: Ai-Based Resume Screening and Candidate Ranking: An Intelligent Approach to Efficient Recruitment Palak Bhardwaj Huma Bi MBA II Year MBA II Year Department of Management Department of Management MIT Moradabad MIT Moradabad [email protected] [email protected] Gunjan Chaudhary Dr. Smrita Jain MBA II Year Associate Professor Department of Management Department of Management MIT Moradabad MIT Moradabad [email protected] [email protected] ABSTRACT provide greater consistency in the initial stage of recruitment. Artificial Intelligence (AI) has become an important technology in modern Human Resource Management Keywords: Artificial Intelligence, Resume Screening, (HRM) and is increasingly being used to improve the Candidate Ranking, Recruitment, Natural Language recruitment and selection process. One of the major Processing, Machine Learning, Human Resource applications of AI in recruitment is AI-based resume Management, Algorithmic Bias, Human Oversight, screening and candidate ranking. These systems are Recruitment Technology. designed to analyse a large number of resumes, identify INTRODUCTION relevant information about candidates, compare candidate profiles with job requirements, and assist HR Recruitment is one of the most important functions of Human professionals in preparing a shortlist. Traditional resume Resource Management (HRM) because the success of an screening is mainly performed manually by HR organisation depends significantly on its ability to attract and professionals, which can require considerable time and select suitable employees. Organisations require people effort, especially when an organisation receives hundreds whose qualifications, skills, knowledge, experience, and or thousands of applications for a single position. AI- capabilities match the requirements of particular jobs. An based systems can support this process by processing effective recruitment process helps organisations identify large volumes of resumes in a shorter period and suitable candidates and place the right person in the right organising candidate information in a structured manner. position. However, recruitment can become a complex and time-consuming activity when organisations receive a large AI-based resume screening systems commonly use number of applications for a limited number of vacancies. technologies such as Natural Language Processing (NLP), machine learning, keyword and skill extraction, In a traditional recruitment process, HR professionals automated matching, and ranking algorithms. NLP generally review applications, study resumes, compare enables the system to understand and extract information candidate qualifications with job descriptions, shortlist from resumes, such as educational qualifications, work suitable applicants, conduct interviews, and finally support experience, technical skills, certifications, and other selection decisions. The initial resume screening stage can relevant details. Machine learning techniques can be used require considerable time and administrative effort. HR to identify patterns in candidate profiles and compare professionals may have to examine hundreds or even them with the requirements of a particular job. Based on thousands of resumes to identify candidates who meet the predefined criteria or matching models, candidates may basic requirements of a vacancy. Manual screening may also then be ranked according to their relevance to the become difficult when resumes are presented in different position. Such systems can help organisations reduce formats and contain information in different styles. administrative workload, improve processing speed, and
Language: English
Topic: AI and HR Technologies
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7225300023