Resume screening and analysis

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N. MARINBI; N. Hima sai; A. Ajay; K. Manasa; D. Sravani

Resume screening and analysis

Authors: N. MARINBI, N. Hima sai, A. Ajay, K. Manasa, D. Sravani

Unique Paper ID: 164365
Volume: 10
Issue: 12
PageNo: 945-947

Keywords: No Keywords Found

Abstract:
Hiring the right talent is a challenge for all businesses. This challenge is magnified by the high volume of applicants if the business is labour-intensive, growing, and facing high attrition rates. companies often receive thousands of resumes for each job posting and employ dedicated screening officers to screen qualified candidates. The main aim of the resume screening is â€œtask of selecting the best talent among many others is known as Resume Screeningâ€. The complex endeavour of selecting the most suitable talent from a vast pool of applicants Therefore, standardized automated screening methods categorize qualified from unqualified candidates based on their background, education and professional experience faster, with more efficiency and more accurate results to streamline hiring processes. Artificial intelligence, along with text mining and natural language processing algorithms, can be applied for the development of programs capable of screening objectively thousands of resumes in few minutes without bias to identify the best fit for a job opening based on thresholds, specific criteria or scores. Typically, large companies do not have enough time to open each CV, so they use machine learning algorithms for the Resume Screening.These research' experimental findings show that the suggested strategies are more effective than conventional ones. The results of this study can help human resource managers and recruiters automate the hiring process and efficiently and impartially identify viable applicants

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Cite This Article

ISSN: 2349-6002
Volume: 10
Issue: 12
PageNo: 945-947

Resume screening and analysis

Available:https://ijirt.org/article?manuscript=164365

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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