ENVIRONMENTAL MONITORING AND CONSERVATION
At DSAIL, we use advanced data acquisition and analysis methods alongside traditional conservation techniques to monitor ecosystems and support conservation decisions.
HEALTH
Access to adequate healthcare is essential, and AI offers potential to improve care in underserved areas. We are currently working on automated screening for Rheumatic Heart Disease and using computer vision to monitor Orthopedic patients collaborating closely with medical professionals.
AGRICULTURE
Agriculture is a key income and food security source for many African households, climate change has recently disrupted yields due to unpredictable weather. To address this, we are working on crop yield prediction and weather forecasting projects, as well as intiatives that utilize IoT.
NOVEL MACHINE LEARNING METHODS
We are developing advanced machine learning methods to address challenges in environmental conservation, health and agriculture focusing on probabilistic models like Gaussian processes, Graph Neural Networks and Large Language Models.