Project Overview
Centralized global cooperative law documents into an AI-powered mapping and directory platform, enabling instant browsing, filtering, and comparative analysis via interactive AI-summarized visualizations.
The Challenge
- Scattered, unstructured, multilingual PDFs made comparing and analyzing cooperative laws slow, error prone, and expensive. Co-op Atlas ingests these documents into a single AI enhanced repository, auto summarizes statutes, and visualizes them on interactive maps for rapid, plain language insights.
Our Approach & Key Contributions
Advanced Ingestion Pipeline
Implemented OCR and multilingual parsing to ingest scanned PDFs into a Postgres datastore.
AI Layer Integration
Integrated OpenAI GPT‑4o to auto-summarize statutes, answer contextual questions, and flag governance requirements.
Interactive Mapping and Visualization
Developed a responsive interactive map and data visualization tools using React 18, Mapbox GL, and Recharts to reveal geographic and temporal trends.
Tools & Technologies
Outcomes & Results
Released public beta covering 72 countries and 200+ statutes with <3.5s AI response time
researchers can compare governance requirements side-by-side, export data, and submit new laws via contributor workflow.
Key Metrics
Related Services
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