Most of the rural people in India use traditional stoves to cook for their families. They release carbon monoxide (CO) and other poisonous particulate matters to the air as a result of incomplete combustion of solid fuels. These pollutants are very harmful to the children, the women cooking near those stoves and more specifically the pregnant women causing serious health hazards to the inborn babies. An Indian woman on an average spends about 6-8 hours per day for this purpose. They spend 80 to 90% of their time at home cooking for their families and these primitive cook-stoves emit a significant amount of smoke, which fills all the rooms of a house. As the smoke contents varies significantly in various rooms, identifying the location of the person plays a vital role. An expert system that uses personal locators is an upcoming method brought about to specially educate the people, the need of improved stoves. These locators are designed in such a way that they determine the exact location of the person and also the duration of the women in that particular room. The stove temperature, location and exposure of the person are determined over a period of time indicating the changes in their locations and exposure levels each time in a specific place. Later obtained data are stored in the memory of the data logger. The stored data can be transmitted using wireless transmissions with the help of SIM 300 global system for mobile communication (GSM) modem to the server which is located at the area where further analysis is done. © 2006-2015 Asian Research Publishing Network (ARPN).