The system uses an ESP32 as the main controller with three discrete water-level sensors positioned at LOW, MEDIUM, and HIGH levels. The sensors are connected to GPIO25, GPIO26, and GPIO27 and operate using an input pull-up configuration. The ESP32 continuously monitors the sensor states, identifies the highest active level, calculates the corresponding flood risk, and records water-level transitions. The processed data is transmitted through Wi-Fi to an ESP32-hosted Web-Based IoT Dashboard for real-time monitoring. When a predefined warning condition is detected, the ESP32 communicates with the Telegram Bot API to deliver a remote flood warning. The system therefore provides an integrated sensor-to-decision-to-alert architecture for flood monitoring and early warning.