IoT-Based Water Quality Monitoring System using ESP32

Maintaining water quality is essential for many industrial activities, environmental health, and human well-being. Effective and ongoing monitoring has become vital due to the rise in water contamination brought on by human activity. Conventional techniques for monitoring water quality are time-consuming and costly and do not provide real-time data. This study investigates the creation of an IoT-based water quality monitoring system that is economical, scalable, and effective. The system continuously gathers and sends water quality data to a Firebase cloud database using an ESP32 microcontroller and sensors for temperature, turbidity, pH, and TDS. Real-time data access and remote monitoring are made possible by the incorporation of IoT technology, providing a workable answer to problems with water quality.