Topic of the Challenge:
Predicting air quality
Particulate matter is considered the most harmful form of air pollution due to their ability to penetrate deep into the lungs and blood streams unfiltered. The effects of inhaling them include asthma, lung cancer, respiratory diseases, cardiovascular disease, premature delivery, birth defects, low birth weight and premature death. In general, particulate matter ranks as the sixth leading risk factor for premature death globally.
For our business case we will use data on the fine dust measurements from the Citizen Science project luftdaten.info. We will work on visualizing the transmitted sensors data with an interactive space-time map and on developing a model for predicting air quality.