This project involves implementing a neural network for Air Quality control and locating oxygen bandwidth. The idea is to classify air constituents and chemical concentrations based on oxygen concentration and focus on identifying that bandwidth of more oxygen and less compound gases. A type of neural network called Self Organizing Maps(SOM) is suitable for this type of mapping.