Control Of Air Pollution Using Machine Learning

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Dr. Madhu Bhan , M Niranjanamurthy

Abstract

Environmental Pollution in India is growing by leaps and bounds. Air pollution, water contamination, and noise pollution are the three basic types of pollution. Rising population, rapid growth in industrialization and rising demands for automobiles in India are worsening air pollution levels. Air pollution has been contributing significantly to the country’s burden of ill health. In contrast to most other developing countries, India has failed to establish a timeframe for meeting its national Air Quality Standards. Air pollution is rapidly becoming a serious public health concern that has a negative impact on our quality of life and economy. This research examines the state of air pollution in India, as well as the application of machine learning approaches to anticipate air quality. It also highlights some challenges and proposed developments for future.

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