Fraud Shield – AI Multi-Agent Scam Detection System | Google ADK | Kaggle Capstone Demo

Fraud Shield is an AI-powered scam detection system built on Google's Agent Development Kit (ADK) using a multi-agent architecture. The system leverages multiple specialized agents to identify and classify various types of fraud, including job scams, romance scams, and financial fraud. This Kaggle Capstone project demonstrates how distributed AI agents can collaborate to analyze suspicious content and provide real-time fraud detection with high accuracy.

Key Points

• •Multi-agent architecture enables specialized fraud detection agents to work in parallel, each focusing on specific scam types (job, romance, financial)
• •Google ADK provides the framework for orchestrating agent communication and coordination in the fraud detection pipeline
• •Real-time analysis capability allows the system to flag suspicious content immediately upon detection
• •Agents can share context and findings to improve overall detection accuracy through collaborative intelligence
• •System classifies multiple fraud categories, enabling comprehensive coverage across different scam vectors
• •Kaggle Capstone project demonstrates production-ready implementation of multi-agent AI for security applications
• •Distributed agent approach improves scalability compared to monolithic fraud detection models
• •Each specialized agent can be independently trained and updated for its specific fraud domain

Workflow Diagram

Concepts