Identification of Urban Waterlogged Areas along with its Prediction

Abstract

Waterlogging is a natural phenomenon where water gets accumulated in an area which results to damage and destruction of material things which causes setback in our day to day lives. We are proposing a system that uses a set of hardware and Google Cloud Platform in such a way that it identifies water logging problem in a particular area. The Web Application displays different areas with various severity colour codes. It also does the analysis based on previous year reports and does predictions of waterlogging severity. The prediction of waterlogging is done using machine learning algorithm where a target variable helps us to determine the score of waterlogging in a particular area. In order to simplify the work of BMC officials we have developed a notification module along with Facebook chatbot which will simplify the identification of waterlogged areas for them.