Published Paper Details:

Floods is the most common natural disaster which occur when excess of water flow onto the land and that can have living life and stability losses Some reason are responsible to cause flooding For e.g. rapid snowmelt, blockage of the drainage system, high rainfall, insufficient water pump capacity in flood prone areas, improper environmental damage . there are different type of flooding. they are such as Storm Surge, Coastal Flood, River Flood etc. The aim of this paper to find out flood prediction using Artificial Neural Network. The aim of this project is to monitor real time the flood data and alert notification if there is an occurrence of risk through IOT. The rising water level is use to detect the floods . The system uses different sensors to detect maximum water reach point, storage of tank, rain fall sensor and measure the value at every stage. The sensor senses the data and processed to microcontroller and is transmitted to internet through wi-fi Module. The system sends data to Mysql database and applies Artificial Neural Network algorithm to perform Classification process. The experimental results show real time data that might be useful to prevent from flood. Artificial Neural Network give us Training data accuracy and validation data accuracy, training data loss and validation data loss respectively.