Arduino-Based Air Quality Monitoring Robot With ML Analysis

As everyone is aware, many dangerous gasses are emitted from automobiles and industry, which can lead to a range of health issues such as lung cancer, asthma, and a range of heart-related complications, or even lead to premature death if the ambient pollution is severe. The consequences of ambient pollution such as acid rain, global warming, and negative effects on agriculture and water quality, emphasize the vital need of ongoing air quality monitoring. As a result, a smart monitoring robot is required to check the air quality. This paper proposes the development of an Air Quality Monitoring Robot capable of efficiently monitoring real-time air conditions via the Thing Speak IoT website. The key components of the device include an Arduino Uno, Motor Driver, DC motors, MQ9 and MQ135 gas sensors (for the detection of gases like carbon dioxide, methane, hydrogen, etc.), temperature sensor, LCD display, and an ESP8266 Wi-Fi module. Additionally, an ultrasonic sensor is incorporated into the design. The planned system is created to provide a user-friendly mobile application and web-based interface. The monitoring results are accessible in real-time through a web application, which connects to a Wi-Fi network. The robot, equipped with these specified sensors and modules, plays a critical function in data collection and environmental monitoring. Additionally, machine learning algorithms are used to identify patterns in the data and predict changes in air quality, allowing users to take preventive actions before air quality deteriorates. Another area of future work could be to improve the user interface and data visualization of the system, making it more accessible and easier to use for nonexperts. Overall, continued development and optimization of the system can help to increase its effectiveness and applicability in a variety of settings, from indoor air quality monitoring in homes and offices to outdoor pollution monitoring in urban environments.