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verifind_ai

VERIFIND AI — multimodal lost-and-found platform with Flutter, FastAPI, LangGraph, MCP, PostGIS/pgvector, and zero-fraud verification.

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Data offered llm-inferred: Lost-and-found item reports with sanitised (blurred) public images · Encrypted private archive of original item photos · Geospatial matching of reports (PostGIS ST_DWithin) · Vector similarity matching of reports (pgvector) · Claim verification questions and fraud scoring
Resolution docs-verified: Mobile client applies GPS coordinate fuzzing of ±500 m (a privacy measure, not a data resolution)
Formats docs-verified: MCP stdio
Access docs-verified: Non-commercial licence only (PolyForm Noncommercial 1.0.0 and CC BY-NC 4.0). Requires your own OpenAI API key and Supabase project; runs locally via Docker Compose.

Use cases llm-inferred: Site lost-property register for contractor crews, with photo-based ownership verification · Geofenced matching of found equipment reported near a site location (PostGIS ST_DWithin pattern) · Reference implementation for a LangGraph multi-agent plus MCP stdio tool-server architecture
Audience llm-inferred: GIS analysts (PostGIS and pgvector pattern reference) · Software developers building MCP tool servers

Constraints llm-inferred: Not a water, civils or environmental data source; no datasets, coverage, resolution or update frequency are documented · Non-commercial licence: consultancy or commercial use is prohibited without a written licence from the author · Catalogue licence is listed as 'Other'; docs state PolyForm Noncommercial 1.0.0 and CC BY-NC 4.0 · Requires an OpenAI API key, a Supabase project, Docker and Python 3.11; mobile app needs Flutter · Catalogue lists no tools and auth as null, but the docs name MCP servers (Vision, Report, GeoSpatial, Fraud, Chat) without tool names · Depends on third-party LLM and vision providers with fallbacks, so running costs and behaviour vary · Docs advise setting AUTH_DEV_BYPASS=false for production

Auto-extracted, unverified fields: tools, auth. Check upstream documentation.

Tools/install/auth auto-extracted from README; quality score heuristic (stars, recency, tool count, licence).

Metadata observed 15/10/2026 · research sweep: github-search