Daniel Casto, Colin Naehr, Derek Pena, and Haotian Wang
Yuko Matsumoto - Pitching the idea for AIRPrediction, forming Data for Good by UF, and performing extensive research into the Time Series Models (Prophet and ARIMA).
(Framework) AIR Quality Forecast Model leveraging Time Series Models to enable timely preventive measures to reduce harmful impact on U.S. citizens.
To find the documentation in man format of the features of this framework, utilize this navigation: docs -> build -> html -> index.html
Since GitHub has a strict file limit of 100MB, we cannot upload the dataset to GitHub. You need to include this csv file manually in the data folder, and it can be downloaded from this link: https://www.kaggle.com/sogun3/uspollution pollution_us_2000_2016.csv(382.37 MB)
pip install AIRPrediction==0.0.8
Sample application can be run via a single command from any directory after installation:
sampleapp
Or can be run via this command once you are inside the project folder:
python3 sampleapp.py