This document summarizes a student project that aims to predict earthquakes by analyzing signals extracted from underground water using image transformation techniques. Specifically, it proposes using the Hilbert-Huang transform to extract co-seismic signals and reduce noise using the Daubechies wavelet method. This is presented as an improvement over existing pattern recognition methods that have issues with false alarms and short-term prediction. The document provides background on earthquakes, outlines the existing and proposed systems, and lists hardware and software requirements.