''Aer02 maps all global regions for pollution content''

'''Description:''' Aer02 maps global regions that are ideal for living, exercising and to be used as routes for commute. It is able to predict the pollution levels of a place with resolving power of 20 meters. The objective of Aer02 is to enhance the fitness awareness of citizens by suggesting regions around them that have ideal air content suited to their health needs.

The proposed system works in three main steps:

1- Specialized sensors are used to map air pollution and smog concentrations over certain regions (such as sectors of Islamabad) using surveillance carried out by our participants.

2- The information is fed to a machine learning algorithm to develop a relationship between oxygen concentration and various demographic and industrial factors such as population density, energy consumption, automobiles’ quantity and et cetera.

3- AerO2 application suggests certain places in a city which are best suited for living, exercising and to be used as routes for commute.

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Main Contributors:

• Saad Qureshi
• Usman Mahmood Khan
• Muddassir Ahmed Khan
• Uzair Akbar