We built a deep-learning project that simulates an earthquake early-warning scenario by detecting P-waves in seismic time-series data. The 1D CNN architecture in Python performs fast, accurate wave detection from raw signals.
As an R&D project it covers the full pipeline — data preparation, model training and evaluation — and stands as concrete proof of our time-series deep-learning capability.