Curiosity.
Code.
Possibility.

Inside the experiment

PhilVolcans is a Philippine seismic observability platform that compiles high-frequency earthquake feeds, computes energy and slip metrics, and publishes a single dashboard for operators and the public. The backend ingests events from tables and databases, applies geospatial filters, and derives aggregates such as counts, energy, total seismic moment, and kinematic proxies. Datasets are paired with AI-generated weekly overviews, trench attributions, depth histograms, and interactive maps that show live events, coverage, and heat patterns.

The interface renders metrics via charts with moving averages, heat maps, pie diagrams, and histograms so viewers can spot anomalies or persistent trends; access controls and admin tooling surface usage stats while keeping sensitive operations secured behind authentication. Forecast maps, cross-section artifacts, and cached blobs refresh automatically with metadata for transparency, while daily statistics and moment release histories pull from SQL stores so offline analyses remain possible. A math-summary routine recomputes b-values, moment rates, energy proxies, and slip estimates, storing compressed JSON snapshots for fast reads and audits.

The responsive dashboard layers tiles, legends, and tooltips to keep the story consistent across devices, with messaging that clarifies coverage, data cadence, and fault-dimension assumptions plus status cues when blobs or feeds are missing. Containerized services, scheduled math/extraction jobs, and maintenance scripts automate schema snapshots and exports, and optional heat-map, trench, and 3D cross-section modules refresh on demand. Explore what we monitor at phquake.ai-dev.cloud.