Zindi and SAEON fill in the air quality data gaps for African cities

Build it and they will come

From model to dataset

Before and after: the WAQI map on the left shows the lack of air quality data for African cities. The map on the right shows how much Zindi and SAEON’s model and dataset of air quality predictions has improved the situation.

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Zindi

Zindi

Zindi hosts the largest community of African data scientists, working to solve the world’s most pressing challenges using machine learning and AI.