QuakeNet is a probabilistic modeling project that uses Bayesian Networks to analyze and infer earthquake significance from seismic magnitude, geographic location, and tsunami occurrence. The project focuses on interpretable causal structure and maximum likelihood estimation to study how different factors jointly influence earthquake impact severity