A Novel Approach for a Smart Early Flood Detection and Awareness System using IoT

Floods can cause extensive demolition, resulting in loss of human and animal's life and damages to railway tracks, road transport, personal property and critical open health infrastructure. In between 1998–2021, surges influenced more than 3 billion individuals around the world. Individuals who live in floodplains or non-resistant buildings, or need caution systems and awareness of flooding risks, are most helpless to floods. Early detection and alert systems can offer assistance, save a lot of lives, and can be valuable for governmental organizations for issuing flood alerts. With the development of the Internet of Things in recent years, it can offer assistance in conveying information quicker and in turn help us save more lives amid such natural calamities. Our aim is to develop a model which can be fixed to a dam or on the riverbanks for real-time monitoring of various parameters like Water level, Temperature, Rain, and Humidity. Based on this information the data is compared with a threshold value and an alert is displayed on a website and also sent as an SMS during abnormal conditions.