Tan Kai Yang SMK Jalan Damai
River pollution caused by illegal industrial waste disposal poses a serious threat to aquatic ecosystems and public health. This project presents an IoT-based water quality monitoring system designed to detect pollution in real-time. Using a light/turbidity sensor paired with a Micro:bit microcontroller and Grove WiFi ESP8266 module, the system continuously measures water clarity as an indicator of contamination. Collected data is transmitted to the Blynk application, enabling remote monitoring via smartphone. When abnormal readings are detected, an automated alert is sent through Telegram, enabling rapid response from authorities. A micro pump collects water samples every 30 minutes for analysis, and filtered water is returned to the river after processing. This solution addresses SDG 6 (Clean Water and Sanitation) by providing an affordable, automated early-warning system that empowers communities to protect their water sources before irreversible damage occurs.