The Problem: "Global credit card fraud is a $32 billion problem. Most current solutions rely on slow, high-level languages that process transactions after the money has already left the account. In the world of finance, milliseconds cost millions." The Solution: "Introducing Vigilance-Plus, a high-performance fraud detection engine built entirely in C++. By moving the logic closer to the hardware, we achieve sub-millisecond inference times. We aren't just identifying fraud; we are stopping it in the blink of an eye." The Edge: "Unlike Python-based models that struggle with real-time throughput, Vigilance-Plus handles thousands of transactions per second with a memory footprint that is 90% smaller than our competitors."
Vigilance Plus
"Zero-Latency Security. Real-Time Justice."
Updates
as of my first hackathon Since I am are using C++, I watch the video to understand these three specific things:
Data Features: Note what kind of data is being used (Amount, Location, Time). These will be the keys in your json.hpp parser.
The Decision Logic: The video explains how to distinguish between a normal transaction and a suspicious one. You can use these as your if/else heuristic rules in your main.cpp.
The Output: See how the results are presented. In your C++ project, instead of a web graph, you'll be showing those Red/Green terminal alerts and the Microsecond Latency timer.
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