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As reported by the FBI IC3, digital scams inflict devastating impacts on our society. In this project, developed for RDI Berkeley LLM-Agents Course (CS294/194-196), I built a multi-agent system with AutoGen to help users identify scam attempts. This agentic solution achieved higher accuracy compared to a prompt baseline (88.3% vs. 69.5%).