Real time Weather Forecast model for Disaster Management using Machine Learning Algorithms

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Hafeeza Samreen, Tugu Bhanu Prakash, S. Vasavi, Duddugunta Bhargav Reddy, Gulla Venkata Nikhil, C. Harikiran

Abstract

In the present era of increasing technology, it is typical that people need detailed and easily available information about current weather and weather forecast. This app can be also used by the users who have no prior knowledge on calculating weather based on degree’s in forms of logo which can be understand by anyone. The main motive is to provide an effective routine for the user by predicting the weather condition. Andhra Pradesh State Disaster Management Authority (APSDMA) wants to provide this service over a smartphone application.  This application takes the data from the APSDMA. Weather Forecast uses an open weather API. This app can be also used by the users who have no prior knowledge about calculating weather based on degree’s in forms of logo which can be understand by anyone. The main motive is to provide an effective routine for the user by predicting the weather condition. The scope of this app is that it tells us how many inches of rainfall we can expect in the next 5 days. Machine learning algorithms Artificial Neural Network (ANN) and Gaussian Process Regression (GPR) are used for prediction.

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