Meet the man on a mission to clean up Africa’s air using AI
For Engineer Bainomugisha and the Makerere University team, grantees of the Google AI Impact Challenge, the streets of Uganda could hold the key to tackling air pollution across Africa.
2-minute read

'I’m a little bit obsessed with air', says Engineer Bainomugisha as he fixes a small, black box to the back of a motorbike taxi in the bustling capital city of Kampala, Uganda. To the untrained eye this may look like a fairly ordinary box but this contraption is being used to tackle dangerous pollution levels on Kampala’s city streets. Combined with AI, it has the potential to improve the lives and air quality for millions of people across Uganda.

'9 out of 10 people breathe unclean air worldwide. Unfortunately, this is mostly happening in low-income countries. This is where we come in.'
Engineer Bainomugisha

Growing up in rural Uganda, Engineer first encountered the pollution facing Kampala when he travelled 300 km from his family home to study computer science at Makerere University in the country’s capital. With a natural passion for technology, he often woke in the early hours of the morning to practise writing software on one of the few computers in his university’s lab. Little did he know that one day he’d use what he had learned to help people better protect themselves from pollution in Kampala and beyond.

Engineer now heads up the Department of Computer Science at the same university and leads their pioneering AirQo project – an initiative that combines human ingenuity, AI models and boxes packed with air monitoring technology to predict pollution patterns in Kampala.

Engineer building a sensor in his lab at Makerere University The team installing a sensor on a rooftop in Kampala
The team installing a sensor on a motorbike known as a boda boda Photo taken of Engineer Bainomugisha at Makerere University
Engineer and a teammate installing a sensor on a rooftop in busy Kampala

Along with a dedicated team of students, Engineer installs air sensors on top of buildings and the backs of motorbike taxis – known as boda bodas and one of the city’s most common forms of transportation – to collect pollution data from all over the city. The team then uses cloud-based AI software to analyse air particle data in real-time and predict local pollution. These forecasts offer Kampala’s communities a way to reduce their risk of exposure and are being used by government agencies to improve air quality on the ground.

Engineer and the team at Makerere University are one of 20 organisations selected from more than 2,600 applicants to receive a grant through the Google AI Impact Challenge: the Google.org initiative to help nonprofits, startups and researchers use the power of AI to address social and environmental challenges. Through this program, the Makerere team also received coaching and mentorship from Google and DeepMind AI experts over the course of a 9-month AI accelerator.

The Team at Makerere University

While the network of air sensors currently criss-crosses Kampala on the back of boda bodas, Engineer hopes that one day this technology will reduce pollution on streets across the continent, so that this generation and the next will know what it means to breathe fresh air.

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