Earthquake Magnitude Predictor Using Stacked Machine Learning Model

Often, natural disasters happen without any prior warning. This leads to catastrophe. We thus propose the system which predicts the magnitude of tectonic plate movements (earthquake) by stacking three algorithms (K Nearest Neighbors, Decision Tree Regressor, Support Vector Machine). This model has been built by us in which we considered a high volume of scientific information from various scientific stations. We further plan on extending this project into a web application which can be used in any device