AQ Monitoring for TinyML

The data in the cloud server “ThingSpeak ”is downloaded inthe form of a CSV file, which can be used to create a data frameusing the ‘Pandas’ module in Python. The aim is to create a model that can predict the quality ofthe air depending on the ppm values detected by the sensors, acolumn in the data frame needs to be added to store thepredictions by looking at the data itself and setting differentranges for different air quality like good, moderate, unhealthy,hazardous etc.The data is for CO and CO2 ppm concentrations respectively.