International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Stress Detection in IT Professionals by Machine Learning

Author(s) KAKARLA CHENNA KESHAVA, PULIPATI MAHESH BABU, MUPPANA VENKATA RAO, UMAMAHESHWAR, MAHESWARI. A, KAJAL
Country India
Abstract The research focuses on developing a machine learning-based system to predict stress levels in IT professionals. This system aims to improve the well-being and productivity of IT professionals by providing early detection and proactive interventions to address stress.
Keywords RANDOMFOREST, ADABOOST, EXTRATREE.
Field Engineering
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-11-21
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E-ISSN 2582-2160
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