COMPREHENSIVE ANALYSIS OF PREDICTING AIR QUALITY USING NEURAL NETWORK MODELS

The rise in air pollution is causing health problems to millions of lives. Urbanization, industrialization, increase in number of vehicle and many more are the reasons behind sudden increase in air pollution. Location, time, surroundings and other uncertain things affect the quality of air. To avoid above problems, we are creating a system. There occurs a mild health problem, when we are unprotected to air over a period of time like shortness of breath, eye irritation, skin irritation; all the problems are linked to the level of pollution. In this system, we are focusing on RSPM and AQI levels. We are using neural network learning models like LSTM, CNN. These models will help in the prediction of unhealthy levels of pollution.