WFGuard
Wildfire detection context, public hazard data, weather, geospatial reasoning, incident triage, preparedness, and AI-assisted briefings.
Boundary: emergency and preparedness actions, not facilities-maintenance work orders.
Avehar's public-interest work focuses on information and intelligence layers that help people and organizations understand conditions, communicate clearly, participate, and make better decisions.
Focus areas
These efforts are intentionally scoped around intelligence, communication, civic participation, and AI infrastructure rather than facilities or enterprise maintenance operations.
Wildfire detection context, public hazard data, weather, geospatial reasoning, incident triage, preparedness, and AI-assisted briefings.
Boundary: emergency and preparedness actions, not facilities-maintenance work orders.
Petitions, community proposals, signatures, participation, volunteer action, and civic communication.
Boundary: civic participation, not government ERP or general enterprise operations.
Public datasets, environmental layers, spatial reasoning, map-based RAG, and AI-assisted synthesis.
Boundary: geospatial information and reasoning, not building-space or IWMS functionality.
Translation, plain-language rewriting, accessibility support, and multilingual communication patterns for public information.
Multi-agent research for evidence gathering, summarization, evaluation, human review, and decision support.
NexPort and NexDB explore policy-controlled AI access to tools and structured data without taking over the connected system's business process.
Scope boundary
Public-interest projects focus on AI research, data synthesis, hazard intelligence, participation, communication, and secure technical integrations. Where a project connects to another operational system, the connected system remains responsible for its own business processes.
Share the public problem, data sources, communication need, or research question you want to explore.