Flood Warning and Rainfall Analysis Using Linear Regression, Gaussian Naïve Bayes Algorithm
Abstract
Flood acts as a major
cause of destruction, loss of property and life. This results in sociological
as well as economic loss. Prediction plays a major role to avoid such
calamities. This paper presents the Flood prediction and Rainfall analysis
using Machine Learning. The main goal of employing this application is to
prevent immediate impacts of flood. This application can be easily used by the
common people or government to predict the occurrence of flood beforehand. Prediction
of flood is done by analyzing using previous data, map the flood concentration,
and then provide those necessary help through helpline for further evacuation
or any other necessary precautions. Machine Learning algorithms such as Linear
Regression, Gaussian Naïve bayes are used to build the model.
Country : India
1 Dr. Janardhan Antharam
Professor, Department of Computer Science and Engineering, Malla Reddy College of Engineering for Women, Hyderabad -500100, Telangana, India
