NembotJules/Cameroon-Air-Quality-Prediction
End to End Mlops System to predict the air quality in Cameroon. Everything is automatic from the Data pipeline, to model retraining and redeployment.
This system helps city planners, environmental agencies, and public health officials in Cameroon understand and predict air quality without relying on physical ground sensors. It takes in satellite and weather data to automatically generate daily air quality predictions for ten major cities. The output is easily viewable through a user-friendly interface.
No commits in the last 6 months.
Use this if you need reliable, real-time air quality insights for Cameroon's major cities, especially where ground-based sensors are scarce or unreliable.
Not ideal if you need hyper-local air quality measurements for a specific street or industrial site, or if you are outside of Cameroon.
Stars
11
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2
Language
Jupyter Notebook
License
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Category
Last pushed
Dec 06, 2024
Commits (30d)
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