Intelligent flood detection and alert system

Floods have become one of the most destructive natural calamities that cause life, property, and infrastructural losses. This project, therefore, is an Intelligent Flood Detection and Alert System built on a network of sensors, integrated with Google Sheets for real-time data logging and monitoring. The key objective will be to ensure there is a reliable and efficient system for the detection of water-level rise and forecasting floods in due time, which gives an early warning for flood impacts. This system uses an ultrasonic sensor for measuring the level of water, rain sensors to measure rainfall, and a flow sensor to monitor water movements. These sensors are connected to a microcontroller, which uploads the real time data readings on Google Sheets through a Wi-Fi module. Google Sheets can act like a web-based data management system by allowing access to live monitoring data from anywhere and at any time. This allows for further analysis of data and observation of trends over time for enabling early flood warnings. The system is enhanced further with the Blynk IoT platform for notifications directly to a mobile device and allows remote water pump control to give flexibility in its on and off operation. The results show that the system effectively provides real-time monitoring of water level variation and other environmental conditions, which trigger the local alert mechanism at a critical level. This provides increased access by users at an affordable and scalable measure; hence, it is deployable in flood-prone areas to support authorities and locals for better decision-making on time. This makes it a practical choice for both remote and urban applications due to the flexibility in data storage, remote control, and analysis added by the integration of Google Sheets and Blynk.