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FraudGuard

Case Study

Real-time risk alerts

FraudGuard

AI-powered fraud detection with real-time monitoring and risk analysis.

Problem

Fraud detection systems often miss subtle patterns and react too slowly to emerging threats.

Solution

Developed an AI-powered fraud detection platform with pattern recognition, anomaly scoring, and real-time alerts.

Impact

Real-time monitoring and risk analysis — catching suspicious activity before it escalates.

Tech Stack

Python
Machine Learning
TypeScript
PostgreSQL
Docker