Air pollution in cities has to stay below certain limits for health reasons. Reliable forecasts of air quality offer the opportunity to control air pollution, e.g. by managing peak traffic flows.  This talk shows an approach to forecast air pollution within the city of Berlin for the next few days using xgboost. The talk will focus on the model and the challenges we faced during the modeling process. We will also have a glance at the tech stack we use (e.g., Clickhouse, kubernetes, Docker, Redash, FastAPI).