AI Based Autonomous Solution for the Maintenance of Public Conveniences using Edge Computing

Abstract

This concept suggests an IoT-based self-sufficient autonomous system intended to efficiently maintain and keep an eye on public amenities. The system uses a variety of sensors to continuously measure air parameters like temperature and humidity as well as the amounts of smell gases. For monitoring and analysis in real time, the sensor data is gathered by an ESP32 microcontroller and sent to an IoT cloud platform. The cloud technology makes it possible for supervisors or maintenance workers to get automated alerts and notifications, guaranteeing prompt cleaning and effective administration. The use of machine learning algorithms that evaluate the gathered data and forecast maintenance requirements using a Raspberry Pi enhances decision-making and minimises manual intervention. Battery power powers the entire system, offering dependability and energy economy. By improving cleanliness, operational effectiveness, and user pleasure in public restrooms, this scalable and ecologically friendly solution helps create more intelligent, sustainable, and clean public infrastructure.