Machine Learning based Smart Hiring

Authors: Netra Walekar, Namrata Waje, Priti Ugale, Sayali Tambe, Prof. Sharad M. Rokade

Country: India

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Abstract: The Expectation Framework is a specific stage intended for Super Administrators and Understudies/Clients, pointed toward smoothing out the enlistment cycle. Its essential capability is to evaluate the character qualities and abilities of clients through a particular Various Decision Question (MCQ) assessment, which covers five unmistakable characteristics. This appraisal enables clients to acquire important experiences in their own capacities and helps them pursue very educated vocation choices.
The framework uses the appraisal results to create customized proposals, recommending reasonable vocation ways or ability improvement potential open doors. Likewise, it produces nitty-gritty reports in light of the evaluation information, furnishing clients and Super Administrators with important experiences for direction.For Super Administrators, the framework offers a dashboard for overseeing client accounts, following commitments, and getting collected, anonymized results and reports. This element helps Super Administrators in refining their enrollment techniques.The general objective of the Brilliant Recruit Character Forecast Framework is to improve the productivity and adequacy of the enlistment cycle by adjusting individual goals to expertise assessments. This approach cultivates better professional decisions and adds to the general nature of recruiting choices. Notwithstanding, the framework faces difficulties regarding creating precise appraisal techniques, guaranteeing information security, and making a connection with client experience to guarantee its prosperity.

Keywords: Hire, CNN, SVM, Machine Learning

Paper Id: 232504

Published On: 2025-05-22

Published In: Volume 13, Issue 3, May-June 2025

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