Interpretable Machine Learning Models For Earthquake Classification And Magnitude Estimation: A Data-Driven Approach To Seismic Risk Analysis

Abstract

Earthquakes are one of the most erratic and destructive natural disasters which affect all life. They are known to cause widespread destruction across vulnerable regions. The recent earthquakes in Thailand and Myanmar, particularly in Myanmar, where I used to reside, inspired me to work on this project. 
My project and research explores the use of artificial intelligence (AI) and machine learning (ML) on earthquakes. The overall objective and intent was to explore and provide early insights that could assist in the mitigation of earthquake impacts. With the help of a historical data points spanning global seismic records from 1965 to 2016, I built and evaluated five machine learning models: