Abstract
This study presents a low-cost IoT-based real-time water quality monitoring in Laguna Lake. By strategically deploying sensors and leveraging Artificial Intelligence, the systems provide accurate temperature, pH, and ORP data, enabling early detection of water quality issues. The inclusion of ORP, often overlooked due to cost and complexity, distinguishes this research. Artificial Intelligence optimizes sensor performance and provides timely alerts. A user-friendly web application facilitates data visualization and stakeholder engagement. Key findings include alarmingly low ORP levels (Average of 207.52 mV), indicating potential water contamination and low oxygen levels. This integrated approach empowers decision-makers with actionable insights for sustainable water resource management and protecting Laguna Lake's ecosystem. The system contributes to UN SDG 6: Clean Water and Sanitation by providing a cost-effective and efficient solution.
