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<title>Sandra Joy</title>
<link>http://hdl.handle.net/123456789/9937</link>
<description>IOT Based Air Quality Monitoring System</description>
<pubDate>Thu, 16 Apr 2026 18:02:05 GMT</pubDate>
<dc:date>2026-04-16T18:02:05Z</dc:date>
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<title>IOT Based Air Quality Monitoring System</title>
<link>http://hdl.handle.net/123456789/9938</link>
<description>IOT Based Air Quality Monitoring System
Joy, Sandra
Today, Air pollution is the largest environmental risk and damaging the public&#13;
health throughout the world. This mainly affects human health by diverse diseases&#13;
like lung diseases, hair fall, throat infection, asthma. Air polluted due to release&#13;
of Toxic gases by industries, vehicular emissions and increased concentration of&#13;
harmful gases and particulate matter in the atmosphere. Particulate matter is one&#13;
of the most important parameter having the significant contribution to the increase&#13;
in air pollution. This creates a need for measurement and analysis of real-time air&#13;
quality monitoring so that appropriate decisions can be taken in a timely period.&#13;
In this IoT project, we can monitor the pollution level from anywhere using your&#13;
computer or mobile. This is an inexpensive air quality sensor with reasonable&#13;
accuracy and is accessible to internet through WiFi. This project is to integrate 5&#13;
sensors which helps to detect the real-time atmospheric pollution.PM Sensor detects&#13;
the dust particles per meter.MQ9 and MQ2 sensors detect carbon monoxide,smoke&#13;
and combustible liquefied gases.DHT11 sensor detects the current temperature and&#13;
humidity And using gps sensor current geography is located in terms of longitude&#13;
and latitude. We implemented proposed method by Internet of Things by using&#13;
IFTTT technologies to analyse air quality.Based on these we send the email alert&#13;
to authorities to take precautions .The vales are stored in a google drive so that in&#13;
future we can implement a pollution prediction using machine learning.Also build&#13;
a mobile application to view the real time values detected by the sensors to the&#13;
users.
</description>
<pubDate>Sat, 11 Jun 2022 00:00:00 GMT</pubDate>
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<dc:date>2022-06-11T00:00:00Z</dc:date>
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