We use artificial intelligence with pollutant and weather measurements obtained from sensors at the air monitoring stations as the inputs to predict what the PM2.5 concentration would be like for the next 24 hours. The prediction is compared to the actual measurement done at the air monitoring stations to evaluate how well our model performs.
