QuakeWake: A Novel AI-Based Early Earthquake Warning and Post-Quake Building Safety Guidance System

Dhroov V. Bharatia

Abstract: Millions of people around the world suffer from earthquakes every year. This research introduces an innovative, mobile device-based approach for real-time earthquake detection and prediction. By discerning quake patterns from users’ regular usage patterns, a novel approach that prevents excessively draining battery uses an on-device neural network only when needed to detect earthquake tremors. Cloud servers running an AI module reliably predict the quake intensity and propagation pattern using signals from many users, enabling warning others who have yet to experience these tremors. It also detects buildings at high risk to reinhabit due to high relative floor displacement exceeding the building safety standards. A low-cost, affordable, and highly reliable optional adjunct device on the user’s premise captures tremors with higher accuracy than mobile devices. This enables effective building-wide earthquake warnings and eliminates fatalities due to post-earthquake building structural