Browsing School of Computing and Informatics Technology Collection by Subject "Machine learning"

Now showing items 1-9 of 9

    • Automatic depression detection 

      Tusiime, Hewitt; Nahabwe, Alvin; Babirye, Grace; Kimuli, Wasajja Julius (Makerere University, 2022-01)
      Depression is a common mental disorder that affects more than 264 million people worldwide. Between 76% and 85% of people in low and middle-income countries receive no treatment for their disorder. There are many barriers ...

    • CGPA Predicting Model 

      Katuramu, Deus; Draleti, Louis; Ayella, David; Komuli, Patrick (Makerere University, 2023-06-29)
      Students come to university from high school with the aim of performing well. However, they are oblivious to the nature of the grading system in the university especially since it is cumulative and therefore, every result ...

    • Fuel demand forecasting system 

      Amooti, Happy; Emmanuel, Bahindi; Rodney, Echeru; Jeremy, Jesse (2023-07-18)
      This project presents a fuel demand prediction system designed to forecast the amount of fuel required by a specific branch of a fuel station. The increasing complexity of fuel consumption patterns and the need for efficient ...

    • Image classification system for cassava disease detection 

      Kiiza, Favour; Kabali, Fahad Maliki; Ssessaazi, Nasser; Nalumansi, Faith (Makerere University, 2020-12)
      As the second-- largest source of carbohydrates in Africa, cassava is a key food security crop grown by smallholder farmers because it can withstand harsh conditions. At least 80% of household ...

    • Interpretable machine learning for health insurance cost prediction based on health risk factors 

      Bagenda, Samuel; Berocan, Samuel; Etyang, John Bright; Nyiringiyimana, Manasseh (Makerere University, 2023)
      The utilization of machine learning in the healthcare domain holds immense potential to transform how individuals and organizations oversee the well-being of their workforce.Nevertheless, conventional machine learning ...

    • Machine learning mobile application 

      Suubi, John Trevor; Nantanda, Jamilah; Mulungi, Steven Junior; Nabwire, Esther (Makerere University, 2024-05)
      The Sign Language Converter project aims to develop a mobile application that bridges the communication gap between the Deaf and Hard of Hearing (DHH) community and those who do not use sign language. Utilizing advanced ...

    • Maize stalk borer detection system 

      Nantabo, Hildah Gertrude; Babirye, Patricia Nakyejwe; Nvannungi, Juliet; Mulungi, Jemimah (Makerere University, 2024-06-28)
      This report presents the development, implementation, testing, and validation of the Maize Stalk Borer Detection System (MSBDS). Initially, it outlines the GitHub repository and blog used by the team to document and manage ...

    • Mobile and web yochat system 

      Nakiranda, Proscovia; Ssemakula, Julius; Nuwagaba, Drake Milton (Makerere University, 2020-12)
      Social media is a phenomenon that has widely spread to people in our community due to the growth in technology and widespread of smartphone usage in our community because they ease on our ways of life through communication. Due ...

    • Transparent price forecasting AI Model for basic food commodities in Uganda 

      Waliggo Bbale, Reagan; Kasasa, Muhammad,; Ssembatya, David; Isadru, Santos (Makerere University, 2023-07)
      Price fluctuations have been on the rise, especially for the basic food commodities in Uganda and are attributed to many causes. The use of machine learning algorithms was used to forecast the future prices in order to ...