A REAL TIME TRACKING OF EMPLOYEE PERFORMANCE USING MACHINE LEARNING

In a modern world there is a growing intricacy in working places such as shift remote and hybrid workingmethods as indulge due to this there is need for real time performance monitoring. Traditional methods ofperformance monitoring files to give us insight into the problem but a modern and machine learning enables thecontinuous performance assessment through the various tools such as predictive analytical anomaly detectionrecommendation. this paper examines the current status of ml driven performance tracking and lighten up onstrength limitation and its consideration we combine the recent research to identify the recent trends and thefuture in the practical execution.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-22
DOI
https://doi.org/10.5281/zenodo.17175178
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

A REAL TIME TRACKING OF EMPLOYEE PERFORMANCE USING MACHINE LEARNING

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

A REAL TIME TRACKING OF EMPLOYEE PERFORMANCE USING MACHINE LEARNING

article en

Abstract

In a modern world there is a growing intricacy in working places such as shift remote and hybrid workingmethods as indulge due to this there is need for real time performance monitoring. Traditional methods ofperformance monitoring files to give us insight into the problem but a modern and machine learning enables thecontinuous performance assessment through the various tools such as predictive analytical anomaly detectionrecommendation. this paper examines the current status of ml driven performance tracking and lighten up onstrength limitation and its consideration we combine the recent research to identify the recent trends and thefuture in the practical execution.

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Openalex Percentile: Top 30%
Geochemistry and Geologic Mapping
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A REAL TIME TRACKING OF EMPLOYEE PERFORMANCE USING MACHINE LEARNING · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS