MVet is a project that is curating datasests on livestock health and test. The datasets include geotagged images labelled with signs and symptoms tags. This work is supported by Lacuna Fund and partners will unlock opportunities in developing data-driven solutions to improve livestock health in Uganda and beyond. We use AI and real-time data to help veterinarians, researchers, and farmers monitor, diagnose, and respond to diseases in livestock. Our goal is to improve livestock health outcomes and transform agriculture in Uganda.