Please join the YEESI Lab, EEISHEA, and the Department of Informatics and Information Technology in congratulating Mr. Massawe and the other five (Catherine Mangare, Deus Francis, Dickson Wilfred, Fikiri Matatizo, and Sifa Abdala) on their victory at IndabaX Tanzania. They have demonstrated that problem-based learning (PBL) approaches are the most effective way to teach students. This is a tenet of SUA’s YEESI Lab and EEISHEA projects.
Indaba is a Zulu word that means “important meeting.” Its goal is to “bring together the right people at the right time to discuss the right issues in ‘deep talk.'” An IndabaX is a locally organized Indaba (i.e. gathering) that assists in the development of knowledge and capacity in machine learning and artificial intelligence in some African countries. It began in 2018 as an experiment to strengthen the machine learning community and allow more people to contribute to the artificial intelligence and machine learning conversation.
IndabaX Tanzania (2022) has been organized by Tanzania AI Lab in collaboration (co-hosted) with Nelson Mandela African Institution of Science and Technology, AI for Development Lab at the University of Dodoma, dLAB at the University of Dar es Salaam and YEESI Lab at the Sokoine University of Agriculture.
This year’s challenge was to create a model that predicts when an airtime customer will switch providers. Fifty Tanzanian innovators signed up for the challenge, but only 20 of them submitted their codes by the end of the competition. These were the top 20 best competition challenge winners out of which six (6) were YEESI Lab members.
The competition winner, Mr. Massawe is a 4th year Agricultural Engineering student at SUA and a YEESI Lab student being trained in artificial intelligence (AI) and machine learning (ML).
