nqbinhcs/AI4VN2022-Air-Quality-Forecasting-Challenge
Runner-up team (2nd place) in AI4VN2022: Air Quality Forcasting Challenge
This project helps urban planners, environmental agencies, or public health officials predict future air quality levels. By using historical weather and air pollution data, it generates forecasts for key pollutants like PM2.5. This allows users to anticipate poor air quality events and inform public advisories or policy decisions.
No commits in the last 6 months.
Use this if you need to forecast air quality for specific urban areas using historical environmental data.
Not ideal if you need real-time air quality monitoring or predictions for highly localized, short-term events without historical data.
Stars
31
Forks
2
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 12, 2023
Commits (30d)
0
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