Summary
Built in 6 hours. A web front-end gets the user location and translates it to usable coordinates. Download this file, then import it into our Python program to discover your predicted future air quality.
The dataset utilized: https://www.kaggle.com/sogun3/uspollution#pollution_us_2000_2016.csv Our gameplan: https://sketch.io/sketchpad/
We utilized an Ensemble model that used both Stochastic Gradient Descent as well as K-nearest neighbor regression to find the AQI (Air Quality Index) for 4 various gases (NO2, O3 SO2, CO). Our model can reliably give you the AQI for these four gases within a very small error margin.
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