Open Arsenal

From Gas to Ash—Alerts That Matter

BurpAlert is an open-source AI platform that delivers comprehensive volcano monitoring by fusing multiple data streams into one powerful, actionable system. At its core, it tracks seismic activity (including microquakes, fault shifts, and ground deformation), gas emissions (real-time CO₂, SO₂, and gas-ratio fingerprinting), thermal and visual anomalies (infrared imaging, satellite/drone feeds, hyperspectral analysis, and 3D volcano modeling), and even subtle acoustic signals such as gurgles, burps, hiccups, and rumbles, through pattern-classification algorithms. Predictive AI correlates all these inputs to generate eruption-probability scores, scenario simulations, and multi-volcano chain forecasts, while automated alerts reach users via SMS, email, app notifications, or voice. Visualization tools include interactive dashboards, historical trend analysis, geospatial mapping, dynamic hazard maps, and 3D lava-flow simulations, making complex volcanic behavior intuitive for researchers, emergency teams, and citizen scientists alike.

What sets BurpAlert apart is its modular, extensible architecture designed for real-world flexibility. The platform supports plug-and-play IoT sensors, open APIs, and a plugin system that lets users add new data sources, drones, satellite feeds, or local weather stations without rewriting core code. Edge computing keeps latency low in remote areas, blockchain options secure data integrity, and the entire stack (built on TensorFlow/PyTorch, PostgreSQL + PostGIS, React + Leaflet/D3.js) runs on standard hardware or cloud setups. This modularity extends directly to area-specific mapping: any region can customize geospatial layers, hazard boundaries, and lava-flow models to match its unique topography, sensor network, and risk profile, turning the generic platform into a locally tailored monitoring solution in minutes.

Adoption becomes straightforward precisely because BurpAlert lives in the open-source community under the AGPL-3.0+ license. Anyone in a volcanic region such as Hawaii, Iceland, Indonesia, the Pacific Ring of Fire, or even lesser-monitored areas, can customize the platform. The modular build-out for area maps means communities or organizations contribute region-specific plugins, sensor integrations, or localized AI training data through standard pull requests, accelerating collective improvement. Citizen-science modules further lower the barrier: mobile reporting, photo/video uploads, and gamified participation let local volunteers feed and refine the system. With full attribution preserved (as required by the license and notice.md), every fork or deployment stays connected to the shared ecosystem, ensuring rapid, collaborative evolution that benefits any area at risk, today or in the future.

This specification is released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+) and may be used freely with required attribution under Section 7. A Specification Branding License is available for attribution-free deployments, with fees based on usage, scope, and deployment size.