Empowering Nepali farmers: Revolutionizing loan management with AI-enabled data digitization

Classifying and identifying bears on low-powered edge-hardware

Use Computer Vision to segment coral reefs in benthic imagery and measure long-term growth or loss of coral cover in marine protected areas

Develop computer vision software that can recognise and distinguish individual turtles through automated identification.

Classify the species and age of eagles to aid conservationists in monitoring their population health

Use Computer Vision to detect toxic clouds emitted by large factories and report the authorities on the sightings

Automated detection of atmospheric NO2 and CH4 plumes over Greater Kampala metropolitan area using high-resolution satellite observations from TROPOMI and Deep learning methods

Construct Computer vision models that estimate the risk for diabetic ulcer formation, as well as highlight areas that indicate the risk.