Hackathon · 2026 · Unicorn Mafia × Techbible Hack Night · London 2026
WILDSCAN
Autonomous six-agent system that detects wildlife trafficking on regional marketplaces via automated scraping, multilingual code-word matching, vision species ID, and risk scoring.
Overall Winner - Unicorn Mafia x Techbible Hack Night 2026
Built in 90 minutes; awarded the overall prize at the London hack night (Web MCP Agents track), March 2026.
Python · LangGraph · Next.js · PostGIS
Challenge
Wildlife trafficking moves through fragmented regional marketplaces in dozens of languages, faster than human investigators can monitor. Existing tooling stops at translation.
Approach
Built a six-agent LangGraph pipeline running on Bright Data Web MCP, paired with a 500-term coded-language lexicon across 8 languages and deterministic risk scoring against CITES/IUCN classifications.
What it does
- 6-Agent LangGraph Pipeline. Scanner, Triage, Linguist, Image Analyst, Species Classifier, and Risk Scorer running fully autonomously.
- Multilingual Lexicon. 500 coded trafficking terms across 8 languages with fuzzy matching for obfuscated listings.
- Deterministic Risk Scoring. 0-100 scores from 8 weighted signals, correlated against 6,000 historical seizure records.
- Globe Visualization. Real-time Mapbox globe plotting detections geographically with on-demand intelligence briefs.
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