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The increasing adoption of the Internet of Things (IoT) in healthcare has revolutionized patient care through real-time monitoring and remote diagnostics. This project presents a SecurityAware IoT-Driven Remote Patient Monitoring (RPM) Framework that captures, encrypts, and securely transmits...

Social Protection programmes in Zambia aim to reduce the levels of poverty and improve the lives of the vulnerable in the communities. However, the two most common challenges in the Social Protection sector in Zambia are fragmented data and poor targeting of beneficiaries. This report describes...

This research project investigates the development and implementation of AI-Powered Fraud Detection and Prevention in financial institutions. By using artificial intelligence and machine learning techniques like supervised learning, the proposed model aims to improve the accuracy, efficiency, and...

A major barrier to the mainstream adoption of cloud computing in the workplace is security, specifically security compliance. Cloud providers are required to adhere to certain security compliance standards for several reasons, including trust, legislative restrictions, and commercial needs. To...

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...

As all cattle producers are interested in export profit and also for the continuity of their herd numbers there is increasing acceptance for the use of the Internet of Things (IoT) technologies-with a focus on monitoring cattle movement and managing pasture access behaviors in this research. GPS...

Healthcare systems worldwide are increasingly leveraging data-driven strategies to enhance decision-making, optimize resource allocation, and improve patient outcomes. This research explores the application of machine learning-driven predictive analytics for Cholera outbreaks forecasting and...

Aquaculture is a viable way for Zambia to fulfil the increasing demand for fish, however conventional approaches don’t have effective monitoring systems. For smallscale farmers, this makes it more difficult to diagnose diseases, manage resources properly, and adopt sustainable techniques. This...

This study introduces a groundbreaking TB detection system in Zambia, harnessing chest X-ray analysis via machine learning. Addressing the limitations of traditional TB detection methods, this research utilized a layered architecture for image processing and classification using a convolutional...