Machine learning applications that can help pastoral communities in northern Kenya and elsewhere adapt to climate change (LVL4)
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 machine learning to close the vocabulary gap in the context of environment and climate change in Chichewa (LVL 4)
Case Study: Machine Learning has a role to play in closing the ‘vocabulary gap’ of terms and concepts regarding the environment and climate change that exists in Chichewa and other Malawian languages. They aim to create a visual dictionary of key terms used to describe the environment and explain the issues involved in climate change […]
Using IoT and Machine Learning to Help Protect Kenya’s Rivers
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 […]