Smart IoT-Based Flood Detection and Alert System with Real-Time Data Logging

Floods are among the most destructive natural calamities that cause loss of life, property, and infrastructural losses. This project was built on a network of sensors, integrated with Google Sheets for real-time data logging and monitoring. The key objective is to develop a reliable and efficient system for the detection of water-level rise and forecast floods, providing 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 is a web-based data management system that allows 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 to mobile devices and allows remote water pump control to give flexibility in the operation. The results show that the system effectively provides real-time monitoring of water level variations and environmental conditions, which trigger the local alert mechanism at 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 decisionmaking 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 applications.