Using visibility as a proxy for weather and air quality monitoring. A Naive-Bayes and Rule-based approach.
Many urban areas in Africa do not have sufficient monitoring programs to understand their air quality. This study uses visibility as a proxy for PM pollution and the weather to provide insight into air pollution using a microcontroller.
This project includes five key files:
- naive_bayes.py
- airpollution.py
- captureimage.py
- sample_train.txt
- sample_test.txt
Run python3 naive_bayes.py [train dataset] [test dataset] - to train and test the classifier.
Run python3 airpollution.py - to run the program on your pi.