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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 behavioral patterns, and current air pollution readings in surrounding areas.
By recognizing trends in past conditions and outcomes, our computers can predict future conditions.

Keywords: AirVisual, AirVisual App, Intercom, forecast, air quality