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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
AI-Powered Recruitment System
Authors
Pratik Pawar, Prachi Pawar, Revati Pandit, Ankita Phalke, Sanjana Jagadale
Keywords
AI-powered recruitment, recruitment automation, candidate-job matching, resume screening, HR management, employee performance evaluation, bias reduction.
Abstract
In today's fast-paced world, the AI-Powered Recruitment System revolutionizes hiring by automating key tasks such as resume screening, candidate-job matching, and interview scheduling. This enables HR teams to save time and focus on strategic goals. Unlike traditional hiring methods, which often involve manual resume reviews and time-consuming processes prone to bias, the AI system ensures efficiency and precision. Beyond recruitment, it evaluates employee performance, identifies skill gaps, and boosts engagement, fostering workforce development. By reducing bias and enhancing hiring accuracy, it offers a seamless experience for both candidates and companies.
IJCRT's Publication Details
Unique Identification Number - IJCRT2501047
Paper ID - 273469
Page Number(s) - a423-a427
Pubished in - Volume 13 | Issue 1 | January 2025
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Pratik Pawar, Prachi Pawar, Revati Pandit, Ankita Phalke, Sanjana Jagadale, "AI-Powered Recruitment System", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 1, pp.a423-a427, January 2025, Available at :http://www.ijcrt.org/papers/IJCRT2501047.pdf
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Volume 13 | Issue 12
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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