HomeCase StudyBreezoMeter


Environmental challenge(s) met
Air Quality
Open Data Platform

United States, Califiornia

San Francisco

Outline of project:
BreezoMeter uses air pollution data from Government sensors and combines it other environmental data such as with wind, weather and traffic dynamics to paint an accurate, easy to read picture of air quality within a city.

The BreezoMeter API can be embedded into a variety of apps or web based tools. This software uses dispersion algorithms and machine learning techniques to predict ambient air quality and enable developers to create programmes that can accurately forecast air quality trends, map pollution across a city, create and analyse historical data sets, provide actionable health recommendations, and provide real-time updates on pollution levels.

What stage is the project at?
In Production

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