Fraud Detection Dashboard
A dedicated fraud detection application, architected with a Python FastAPI microservice to handle heavy processing separately from the main dashboard.
Microservice
Architecture
Python FastAPI
Processing engine
Next.js
Frontend
The Confidential challenge
Fraud detection logic involves computationally heavy processing that would slow down a typical monolithic web app if run in-process — the client needed a dashboard that stayed fast for analysts while deep analysis kept running in the background.
Our solution for Confidential
We split the system into a Next.js dashboard for analysts and a dedicated Python FastAPI microservice for the heavy processing, communicating over an internal API so the two could scale independently.
Technical approach
Isolating the processing-heavy detection logic into its own FastAPI service meant the dashboard stayed responsive for analysts regardless of how much data the engine was crunching in the background, and let the two components be scaled and deployed independently.
Services used
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