Artificial Intelligence Assistive Iot Based Flood and Disaster Rescue Management System Using ESP8266 WiFi Controller

More and more, it seems like every year or virtually every year, floods hit various regions of the globe. Recent technological developments have facilitated the acquisition of solutions for these natural catastrophes. A good example of a technology that brings us closer to the web is the IoT, or Internet of Things. This study presents an Internet of Things (IoT)-based system for flood detection and catastrophe prevention. This uses its on-board sensors to make educated guesses about things like humidity, temperature, and water flow; it then uploads the information in actual time to the cloud services, where users may examine it using an application for their smartphones. In this paper, a new disaster recovery system is introduced called Artificial Intelligence based Rescue Management Model (AIRMM), in which it is cross-validated with the conventional GPRS based Flood Monitoring Model (GPRSFMM) to evaluate the efficiency of the proposed scheme. The suggested Internet of Things (IoT) system analyzes earthquake and flood data in real-time, allowing authorities to keep tabs on areas hit by natural disasters. In this article, we take a look at the Flood and Earthquake Monitoring System, which can help us keep an eye on high-risk locations for earthquakes and floods in real time while keeping an eye on costs and safety precautions. Additionally, the suggested system notifies the proper authorities whenever it detects a person in the vicinity. The suggested system's design incorporates sensors into the microcontroller NodeMCU WiFi Module and the Internet of Things platform so that the uploaded data from the sensors may be examined and seen.