Air Quality Monitoring System: A Personal Air Quality Measuring System with Machine Learning

Air Quality Monitoring System: A Personal Air Quality Measuring System with Machine Learning

Aditya Sinha, Avinash P. Mahato, Aditya Sharma, Dr. Prashant Dhotre

Dept. Information Technology (DA)

MIT ADT – School of Computing

Pune, India

ABSTRACT

An air quality monitoring system is a type of environmental monitoring system that measures and analyses the air quality in a particular area. The system typically consists of a network of sensors that are placed in different locations throughout the area of interest. These sensors can detect a range of pollutants such as particulate matter, nitrogen dioxide, sulphur dioxide, carbon monoxide, and ozone. The data collected from the sensors is then transmitted to a central server where it is analysed to determine the current air quality level. This information can then be used to generate real-time alerts or notifications to the public, local authorities, or businesses. Air quality monitoring systems are becoming increasingly important as air pollution levels continue to rise in many urban areas around the world. The data collected by these systems can be used to inform public policy, guide urban planning decisions, and help individuals make informed choices about their health and wellbeing. In summary, air quality monitoring systems play a vital role in promoting public health and safety by providing accurate and timely information about the air we breathe

Key Words:  Air pollution, Air Quality Index (AQI), Internet of Things (IoT), Parts Per Million (PPM), Sensor (MQ135, MQ7, PMS5003, DHT22), Effects.