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The effectiveness of monetary policy in Zambia is undermined by foreign exchange (FX) market inefficiencies, including lack of transparency, fragmented monitoring mechanisms, and limited regulatory enforcement. These shortcomings contribute to inflation volatility and weaken the capacity of the...

This project is focused on the development and demonstration of an automated Human Resource (HR) case processing system designed to facilitate the storage and analysis of data to support decision making processes by extracting meaningful data from scanned HR case documents. Specifically, this...

This research addresses the critical challenge of opacity and potential bias in machine learning (ML) models used for credit scoring. While advanced models like Gradient Boosting Machines and Deep Neural Networks offer superior predictive accuracy, their "black box" nature hinders regulatory...