Author

Description

The Garment Worker Productivity Prediction System is a web-based tool designed to forecast the productivity of garment factory workers. Leveraging machine learning models, the system analyses diverse operational, environmental, and worker-related factors to provide actionable insights. This predictive capability is crucial for optimizing resource allocation, improving workflow efficiency, and maintaining high-quality production standards while reducing operational costs. By addressing variability in worker performance due to skill levels, work conditions, and task complexities, the tool helps businesses streamline operations and enhance profitability.

Keywords

GARMENT WORKERS PRODUCTIVITY PREDICTION ANALYSIS