StopOdds

Statistical analysis of Melbourne public transport fare inspections. Collects anonymous commuter data to estimate stop rates by demographic group.

What it does

Submit your trips and stops from the last 30 days with optional demographic info. Get back:

• Stop rates per 100 trips by group
• Personal risk estimates
• Statistical confidence intervals

Tech Stack

• Frontend: Next.js + TypeScript + Material-UI
• Backend: FastAPI + Python
• Database: PostgreSQL
• Stats: Poisson/Negative Binomial GLM

Development

Backend:

cd api
pip install -r requirements.txt
uvicorn main:app --reload

Frontend:

cd app
npm install
npm run dev

Database: Set up PostgreSQL and run infra/supabase.sql

Privacy

• No personal identifiers collected
• Groups under 50 people suppressed
• 12-month data retention max
• Full methodology transparency

API

• POST /api/submit - Submit data
• GET /api/overview - Get statistics
• GET /api/predict - Personal estimate
• GET /api/methods - Methodology

Public interest project - not gambling related.