A desktop and mobile app designed to enhance microscopy education was also developed. Students and professionals can capture images, which are then uploaded with metadata for annotation and instructional feedback. This interactive platform improves diagnostic skills by providing hands-on learning experiences, making it a valuable educational tool for both students and professionals. The project work aims to integrate these AI-enhanced tools into the existing health care infrastructure, making disease surveillance and diagnosis more accessible and reliable in Uganda and potentially other similar contexts.