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FR-AI / ANALYSISWhy it is worth attention
Adapts the Mission 4636 crisis-mapping model to Venezuela's chronic crisis with privacy as a core requirement, using cryptographic hashing, location coarsening, and PII scrubbing to protect reporters.
Who it is for
- Venezuelan citizens experiencing service outages
- Diaspora volunteers who want to help verify and geolocate reports
- Humanitarian NGOs monitoring the crisis
- Developers interested in privacy-preserving crisis mapping
Use cases
- Report a power outage via WhatsApp or anonymous web form
- Volunteer as a moderator to categorize and verify incoming reports
- View an aggregated, real-time map of shortages to plan aid or movement
- Export PII-free data for NGO analysis or journalistic coverage
Strengths
- Privacy-first design: never stores raw phone numbers, coarsens location to ~2km grid, auto-scrubs PII
- Real-time public map updated only after volunteer moderation and verification
- Built with modern stack (Next.js 16, Supabase, Drizzle ORM, shadcn/ui) for scalability
- Inspired by proven Mission 4636 model, adapted with hard-learned privacy lessons
Considerations
- Still an MVP; moderation uses a shared password instead of per-volunteer accounts
- WhatsApp integration requires setup with third-party Kapso service
- Map requires a Mapbox token; duplicate clustering and NGO export feeds are not yet implemented
README quick start
Getting started
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