Abstract
In today’s world, the temperature of the environment is gradually rising. One of the main reasons for it is decreasing the quality of air mainly caused due to air pollution. There are many harmful substances present in the environment that is the cause of the declining quality of air. These pollutants get mixed along with the air and pollute the environment. The two air pollutants are considered here, CO2 and NO, to reduce air pollution, there is a need to know the number of pollutants, with the help of sensors in this experiment the level of pollutants are to be monitored and based on that a prediction mechanism is developed to determine the level of pollutants in the future. There are some machine learning concepts involved, K means clustering for classification of pollutants along with the S.V.M. (Support Vector Machine). With the successful prediction of the level of pollutants, the necessary counter measures can be adaopted.
Highlights
Today every person wants to breathe in an atmosphere that contains fresh and pollution-free air
Several countries in the world are suffering from various problems related to air pollution, both in developed and developing countries
There are many health problems and environment affecting factors arising because of a large number of industries that release the pollutants along with the pollution caused by the vehicles, on a daily basis
Summary
Today every person wants to breathe in an atmosphere that contains fresh and pollution-free air It has become a major problem as people do not have a sufficient quantity of air to breathe because of the rising amount of pollution in the atmosphere. There are many health problems and environment affecting factors arising because of a large number of industries that release the pollutants along with the pollution caused by the vehicles, on a daily basis. There are many industries that do not take proper measures regarding the treatment of wastes before releasing them into the environment These factories may be good for the growth of jobs for people or provide necessities to human beings but they can become a serious threat to mankind when it comes to pollution. The last objective is, based on the previously collected data to predict the future air quality using machine learning algorithms
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