Solar - Powered Air Purification

Abstract Due to the growing global concerns of air pollution and decreased visibility caused by fog, there is a need for smart, portable remedies for environmental monitoring and cleanup. This study describes the development and implementation of a Smart Air Purifier Robot that combines real-time environmental sensing with autonomous mobility. A MQ gas sensor that measures pollutant concentrations and an LDR sensor that tracks fog intensity are connected to an Arduino Uno microcontroller, which serves as the primary control mechanism. The air quality is classified into three levels—good, moderate, and bad—based on the data from the sensors. Through a visual RGB LED color scheme (green, yellow, or red) and an audio APR voice module, the robot offers immediate response, improving user access and interaction. The system is designed with sustainability in mind, utilizing a solar-assisted rechargeable battery to provide uninterrupted, off-grid functioning. DC motors, controlled by an L298N driver, handle mobility. The robot automatically stops moving and turns on the warnings when it senses bad air quality, giving the user immediate situational awareness. This prototype showcases the synergy between renewable energy, robotics, and embedded systems, providing an affordable, sustainable, and mobile platform for increasing public knowledge of air quality issues in urban settings.