Air Filter for Carbon Emission Industries Using AI Technique

Air pollution contains pollutants like CO2 and other particles which is harmful to human health and surroundings. To avoid these drawbacks “AI-based Air Filter” was designed. This system depends on “AI Technology”, which uses a “Machine Learning” algorithm to experience higher intelligence. It is designed based on a “Random Forest Algorithm”, which is type of supervised machine-learning algorithm. This algorithm helps to predict the quality of air by comparing the history of previous sensed data. It is also used to optimize the efficiency of air filter that are used in the filtration system. The proposed system is composed of “CO2, O2, and Temperature sensors”, that sense the level of $\mathrm{CO} 2, \mathrm{O2}$, and temperature in the environment and send data to the PIC controller. The controller receives the data and works based on the AI programming. Depending on the programming, the PIC sends a triggering pulse to the relay, which acts as a switch for the blower motor. This motor sends the observed air to the air filter. An air filter consists of filtering material that is water molecules to observe the carbon content in the polluted air and produces carbon free air to the environment. The NodeMCU is used to transmit real-time data to the IoT cloud for the tracking of information by the user. The real-time data generated by the PIC controller can be sent to the NodeMCU by using the RS232 protocol. The entire process of the system can be monitored by the user from any place and at any time.