Air quality forecasts are generated by using machine learning, a subset of artificial intelligence, technologies.
These predictions are derived from factors such as historical information, weather trends, wind movement, geography, human behavioural patterns, and current air pollution readings in surrounding areas.
By recognising trends in past conditions and outcomes, our computers can predict future conditions.

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