This study developed a model to determine the Cyber Security Human Vulnerability Exposure Index (CSHVEI) for Microfinance Institutions (MFIs) in Nairobi County, Kenya. While people are a critical component of organizational ...

This project created and contrasted between Multi-Task Learning (MTL) and Single-Task Learning (STL) models in order to make personalized recommendations on nutrition based on an explainable AI method. Its overall goal was ...

Microfinance institutions in Kenya play a unique role in promoting financial inclusion, loans,and savings provision, especially to low-income individuals and small-scale entrepreneurs.However, despite their benefits, most ...

This study is a response to the growing menace of social media site defacement causing the problem of cyber-defacement through the creation of a sentiment analysis model that can predict attacks on the X (previously Twitter) ...

Climate variability is a major driver of malaria surges in Kenya’s Lake Victoria Basin, yet routine decision-making often reacts after peaks have begun. This project develops, validates, and operationalizes an ensemble ...

This thesis presents an auditable, privacy-preserving learning workflow for Kenyan cross-border telemedicine. Hospitals train models locally and share only model signals, so raw EHRs remain in country. Using synthetic ...

In Kenya, coffee farming faced various challenges, including widespread pests and diseases that endangered both the quality and yield of coffee. Traditional farming mechanisms were unable to provide timely interventions, ...

The study investigated the strength of the cybersecurity posture of SACCOs in Kenya by assessing current practices, developing a CTI sharing platform, and formulating supportive policy guidelines. The study was guided by ...

Machine learning predictive approach is created to evaluate the impact of varying factors on school desertion in Narok West Sub-County institutions through analysis of local population dynamics.The lack of evidence-based ...