ai-risk-manager

AI Risk Manager for Razorpay Buildathon Track 2. Detects coordinated fraud rings across accounts, holds funds instead of cancelling, and leaves the final call to the merchant.

AI-powered payment risk manager that detects risky transactions using a Random Forest model, explainable risk signals, and automated defensive actions.

Merchant-side card-testing detection that shows its reasoning. Rules produce evidence, five explanations compete over it, and the model can ask for a review but never blocks a shopper — Razorpay Buildathon 2026, Track 02.

Pre-authorization behavioral risk system that detects automated card-testing sequences before a Razorpay payment order is created.