Necromancer
Google DeepMind Bangalore HackathonI ahve built a agentic fraud detection sysgtem which uses 3 agents to flag the chained fraud transaction which is the ost effective fraud trick. UPI Fraud Investigation Agents — a multi-agent system that investigates suspected UPI mule-account fraud, and is designed to distrust its own conclusions. Three agents run in a loop: Detector — an XGBoost model (trained on the public IBM AML dataset) flags suspicious account clusters. It's tuned recall-first: it catches ~75% of mule transactions, at the cost of about 1 in 4 flags being a false alarm. Investigator — a Gemini managed agent that writes and runs its own graph-traversal code in a cloud sandbox, tracing the fund flow hop by hop. Judge — a Gemini agent that critiques the trace against explicit evidence criteria. Weak traces get rejected and sent back for re-investigation (capped at 3 passes); genuinely ambiguous cases get handed to a human rather than guessed at.
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