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
- 0.00