ernestmoyo/legiwatch

AI-powered legislative intelligence platform for Zimbabwe. Track parliamentary bills, search 10+ years of Veritas publications, and ask AI about legislation. # Legiwatch AI-powered legislative intelligence platform for Zimbabwe. Track parliamentary bills through every stage, search 10+ years of legislative publications, and ask AI questions about any legislation. Built on the Veritas Bill Watch archive — Zimbabwe's most trusted source of legislative information. ## What It Does - **Bill Tracker** — Follow 232+ bills through parliament (First Reading → Committee Stage → Assent) - **Full-Text Search** — Search 1,491 publications across 11 categories with weighted relevance ranking - **AI Chat** — Ask questions about Zimbabwe legislation and get sourced answers with citations - **Browse** — Filter publications by category: Bill Watch, Court Watch, Constitution Watch, Election Watch, and more - **Public API** — Structured legislative data accessible via REST endpoints ## Data Coverage | Category | Count | |----------|-------| | Bill Watch | 597 | | Bill Watch Committees | 176 | | Committees Series | 170 | | Election Watch | 102 | | Constitution Watch | 86 | | Court Watch | 83 | | Commissions Watch | 81 | | Special Days | 65 | | Economic Governance | 28 | **Date range:** April 2015 – March 2026 (10+ years) ## Architecture ``` legiwatch/ ├── pipeline/ # Python: mbox → structured data → embeddings ├── supabase/ # PostgreSQL schema with full-text search + pgvector └── web/ # Next.js 16 web application ``` **Stack:** Next.js 16 · TypeScript · Tailwind CSS · Supabase (PostgreSQL + pgvector) · Claude API · OpenAI Embeddings ## Quick Start ### 1. Data Pipeline ```bash pip install -r pipeline/requirements.txt python pipeline/run_pipeline.py ``` Parses the Veritas Bill Watch mbox archive into structured JSONL files: - `emails.jsonl` — 1,491 parsed publications - `enriched_emails.jsonl` — with extracted bill references and committees - `bills.jsonl` — 232 deduplicated bills with stage timelines - `chunks.jsonl` — 2,694 RAG-ready text chunks ### 2. Database Create a Supabase project and run the …