International Research Journal of Engineering and Technology (IRJET) Volume: 09 Issue: 06 | June 2022 www.irjet.net
e-ISSN: 2395-0056 p-ISSN: 2395-0072
Air Quality Monitoring System Using Linear Regression and Machine Learning. Air Quality Prediction Vasudeva M B 1, Pradeep K 2, Dr. Chetana Prakash 3, Dr. Nirmala C R 4 1,2,3,4 Computer Science and Engineering, BIET, Davanagere, India. --------------------------------------------------------------------------***---------------------------------------------------------------------Abstract— Air is an essential natural resource, has II. EASE OF USE
been compromised in terms of quality by economic activities. The aim of this paper is to investigate a data a set of air pollutants record for India meteorological sector using machine learning technique. Air quality index is used to measure the Air quality and to implement the different classification of regression technique to measure the air pollutant with major air quality index. The techniques is then evaluated using Mean absolute error and which show that Linear Regression is best suited for predicting the air quality in New Delhi. Monitoring air pollution is of increasing concern today. People are suffering from health problems as a result of prolonged exposure to polluted environments. By using python built a machine learning algorithm and developed to detect the air pollution model.
A. Air Quality Index (AQI) The air quality index is used to measure the air quality to predict the air whether the air is good or not for the healthy issue to detect the air pollutant and showing the changes in the temperature by measuring air pollutant with the road traffic and nitrogen dioxide and by using simple tool called diffuse tube. The diffuse tube is used to absorb a specific pollutant from the air and no power supply is needed and monitoring the air pollutant to decrease the health issues from the air quality index. B. Monitoring Air Pollution The monitoring air pollution by monitoring the devices to acquire the air to which the air quality is good. By accessing the levels of pollution in air quality index it is more affect to the health so this monitors to the better air quality to survive the life with the healthy way to defuse the life in the better way. By this monitoring system our health issue will better than un-monitoring periods to detect those controls to monitor the air pollutants with right way to simulate the pollutant in which the controlled system used to de-monitor the air which is affecting the health with badly and by correct monitor can survive the life in a good manner.
Keywords—Air Quality Index, Pollutant, Linear Regression, Pollution Prediction. (key words)
I.
INTRODUCTION
Improved lifestyle has considerable the air pollution in urban areas of the regulation of the pollution in New Delhi the capital city of India is one of the most populated cities in the world. In the recent days has pointed out that the concentration of pollutants in Delhi is much higher than the limits of the area so have to control the air pollution with the help of Air Quality Index with forecast disclose the air quality trend with the machine learning field in which programs are achieved efferently. To overcome this situation of the much air pollution to declare the healthy life without air pollution is the air quality index with this have to define air pollutant and collect the data from the meteorological department with the help of some advisor to get the result of the air pollution to predict the air quality to form the better life lead in the New Delhi. Local air quality affects the health problems and it is slow poison it will kill human in slow manner so to defeat the air quality have to manage air quality and issue health advisors. By this we can lead a good life with no problems in the health issue. So to improve our life style with the harmless air pollution quality to monitor the air quality predictor to reduce the pollution by controlling the pollutants in the air. The air that should be good pollutant to live the better life. © 2022, IRJET
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Impact Factor value: 7.529
III. EXISTING SYSTEM
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Statistical and numeral models are used in the existing system.
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By the air quality index with the categories of different index to monitor whether the air is good, satisfactory, moderate, poor, very poor, severe based. The data is displayed on a monthly, weekly or daily basis.
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It measures only the half of the air quality and tested sample had accuracy between 65% to 75%
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