Projects

NodeGuard

Year
2026
Status
complete
Built with
Python, Graph neural networks

Technical summary

A graph neural network that flags coordinated mule-account rings by looking at who an account is connected to, not just its own numbers. Built in a few days for Razorpay's AI Buildathon: recall 0.333 and precision 0.200 on a held-out test set with only three mule accounts, so evidence that the approach is real rather than a production benchmark. The demo is a static site built from the trained model's real predictions.