Air Quality Radar: Difference between revisions

From Computer Laboratory Group Design Projects
Jump to navigationJump to search
(Created page with "Client: Matthew Smith, Microsoft <Matthew.Smith@microsoft.com> Rain radar apps are familiar and popular - allowing people to plan their activities by approaching rain. Th...")
 
No edit summary
 
(5 intermediate revisions by the same user not shown)
Line 1: Line 1:
Client: Matthew Smith, [[Microsoft]] <Matthew.Smith@microsoft.com>
Client: Matthew Smith, [[Microsoft]] <Matthew.Smith@microsoft.com>


Rain radar apps are familiar and popular - allowing people to plan their activities by approaching rain. This project will create the first “air radar” that uses monitoring of multiple air quality parameters to predict movement of pollution. We can provide access to recordings of data streams from around Cambridge, and also the Microsoft Cortana Intelligence Suite. You should use machine learning techniques to predict what happens next. This will involve integrating data with time of day, traffic movements, temperature, wind speed and other factors. Your current situation maps and future trend predictions will be useful not only to cyclists and residents, but to planners concerned with future environmental health.
Rain radar apps are familiar and popular - allowing people to plan their activities by approaching rain. This project will create the first “air radar” that uses monitoring of multiple air quality parameters to predict air movement and local variations in pollution. We can provide access to recordings of air quality data streams from multiple locations around Cambridge, and also the Microsoft Cortana Intelligence Suite under Azure. You should use machine learning techniques to predict what happens next. This will involve collecting and integrating other data such as time of day, traffic movements, temperature, wind speed and other factors. Your current situation maps and future trend predictions should be useful not only to cyclists and residents, but to business analysts and city planners concerned with future environmental health.

Latest revision as of 15:52, 14 November 2016

Client: Matthew Smith, Microsoft <Matthew.Smith@microsoft.com>

Rain radar apps are familiar and popular - allowing people to plan their activities by approaching rain. This project will create the first “air radar” that uses monitoring of multiple air quality parameters to predict air movement and local variations in pollution. We can provide access to recordings of air quality data streams from multiple locations around Cambridge, and also the Microsoft Cortana Intelligence Suite under Azure. You should use machine learning techniques to predict what happens next. This will involve collecting and integrating other data such as time of day, traffic movements, temperature, wind speed and other factors. Your current situation maps and future trend predictions should be useful not only to cyclists and residents, but to business analysts and city planners concerned with future environmental health.