Machine learning applications that can help pastoral communities in northern Kenya and elsewhere adapt to climate change (LVL4)

Climate change and AI logo

Case Study: Proposes the use of machine learning techniques to translate climate information and adaption technique from major Western and Asian languages to thousands of less common languages. Studies have shown that access to information can help people assess the magnitude of the climate change challenge, and the feasibility of possible solutions. This project aims […]

Using IoT and Machine Learning to Help Protect Kenya’s Rivers

The Ewaso Nyiro River in Kenya

Case Study: Increased demand for water to irrigate crops alongside reduced rainfall and land degradation in the catchment area have led to water shortage and conflict between the users of a river’s water. To ensure equitable distribution of this resource effective monitoring of the river is essential. They plan to incorporate multiple data sources such […]