• Enhanced hybrid machine learning model for detecting denial of service attacks in internet of things networks. 

  Ngunyi, Beatrice Njeri (Cuk, 2025)

  Connecting devices across homes, healthcare, agriculture, transportation, and businesses through the Internet of Things (iot) has become a critical part of modern life. Nevertheless, the universal interconnection of iot ...
• Second hand car price prediction model in Nairobi. 

  Onyiego, Brian Atandi. (Cuk, 2025)

  The second-hand car market in Nairobi continues to grow rapidly, creating a need for accurate and transparent price prediction methods. Traditional valuation approaches rely heavily on subjective judgement, leading to ...
• A hybrid security model for data protection in public cloud computing. 

  Orucho, Daniel Okari (Cuk, 2025)

  This thesis sought to address the following objectives: assess security threats and attacks on data in public cloud computing, assess existing techniques for securing data in public cloud environments, develop a hybrid ...
• Leveraging machine learning models to predict HIV/AIDS treatment interruption in art patients in Machakos county,Kenya. 

  Odundo, Clifford Omondi (Cuk, 2025)

  HIV/AIDS remains a major global health challenge, with Sub-Saharan Africa carrying the highest burden. In Kenya, where adult prevalence is 4.3%, treatment interruption (IIT) continues to undermine antiretroviral therapy ...
• Machine learning model for precipitation forecasting in Kenya. 

  Muthoki Mulinge, Damaris (Cuk, 2025)

  Accurate precipitation forecasting is important for mitigating the impacts of climate variability in Kenya, where erratic rainfall events considerably affect agriculture, water control, and disaster preparedness. Traditional ...
• Hybrid fraud detection model for financial institutions. 

  Mwarangu, Danson Gikonyo (Cuk, 2025)

  Digitization has significantly expanded access to financial services while simultaneously increasing the exposure of financial platforms to fraud. Institutions globally are adopting machine learning (ML) to detect emerging ...
• A hybrid machine learning based model to enhance detection of zero day attacks. 

  John, Dominic Kavoi (Cuk, 2025)

  In the current technological landscape, a lot of risks are present due to the availability of existing and novel kinds of attacks. For these attacks to be countered, systems that identify all the variants without any false ...
• Case based reasoning model to optimize sentencing guidelines in the judiciary of Kenya. 

  Charani, Donald Asiago (Cuk, 2025)

  Judicial sentencing often faces challenges of inconsistency and disparity, undermining both fairness and public trust. Existing guidelines provide direction, but variations persist due to the subjective interpretation of ...
• An adaptive machine learning model for real time detection and mitigation of oit intrusion threats 

  Kilonzi, Mwende Elizabeth (Cuk, 2025)

  The rapid expansion of Internet of Things (IoT) deployments has increased system exposure to advanced cyber threats such as Distributed Denial-of-Service (DDoS) attacks, botnet infections, and zero-day exploits. Traditional ...
• Leveraging machine learning for diabetes prediction:Ensemble model 

  Otieno Ogutu, McDonald (Cuk, 2025)

  Diabetes presents a great global health challenge, with delayed diagnosis significantly impeding effective management, particularly in resource-constrained regions. The critical shortage of medical professionals in regions ...
• A hybrid machine learning model for detecting and preventing corruption in Kenya"s public procurement contracts. 

  Ndolo, Melchizedek Lewela (Cuk, 2025)

  This study investigated the use of a hybrid machine learning model to detect and prevent corruption in Kenya’s public procurement contracts. Persistent procurement irregularities continue to undermine fiscal accountability, ...
• Hybrid encryption model for secure token distribution scheme. 

  Ayuma, Michael Juma (Cuk, 2025)

  In the current era of digital communications, the safety of token transmission is crucial especially, in securing sensitive data and in distributed systems. The classical encryption algorithms, despite their popularity, ...
• Developing a real-time ai fruit detection model for robotic agriculture. 

  Ombuna, Nyamwange Paul (Cuk, 2025)

  The global agricultural sector faces growing pressure to meet increasing food demand while also dealing with reduced labor availability and the need for more sustainable and data driven farming practices. Real time fruit ...
• Kenyan sign language recognition using the ensemble method. 

  Rotich Kiplagat, Stanley (Cuk, 2025)

  Communication is the process of interaction between two or more individuals. It can be done through verbal, written, gestures such as hand and head movement, facial expression, lip motion. Communication is fundamental to ...
• A predictive intelligence model for detection of fake news on online media. 

  Kamwira, Titus Kalweo (Cuk, 2025)

  The emergence of social media on the internet has increased the rate at which people spread misinformation and fake news, posing serious societal, political, and economic dangers. This paper created a predictive intelligence ...
• Leveraging ensemble models for optimizing predictive accuracy of low birthweight risk in Kenya. 

  Otieno Opiyo, Victor (Cuk, 2025)

  Low birth weight (LBW) remains a significant public health concern in Kenya, affecting approximately 11.5% of infants and resulting in high infant mortality and long-term poor health. Accurate prediction of LBW risk is ...
• A hybrid prophet -LSTM model for drought forescasting in Machakos County. 

  Katumo, Eric Kioko (Cuk, 2025)

  In Kenya, drought remains a challenge in its arid and semi-arid lands (ASALs) where Machakos County located in the Eastern region, it experiences such events every three to four years. Crop yields, livestock losses, and ...
• A model to determine cyber security human vulnerabilities exposure index for MFIs(A case study of Nairobi county,Kenya 

  Evaline, Njeri Waweru (Cuk, 2026-06-29)

  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 ...
• Regression algorithm-based machine learning model for Apartments’ price prediction in Nairobi city. 

  Gift, Merqular Odieny. (Cuk, 2025)

  The real estate market of Nairobi has been booming quickly with the price of apartments depending on location, amenities, and the market forces. Conventional approaches to valuation that use the past and market judgement ...
• Multi-task machine learning model with explainability for Personalized nutrition in Kenya. 

  Wamucii, Johnson Kiiru (Cuk, 2025)

  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 ...

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