Over the previous few weeks, I’ve been constructing one thing I’ve at all times needed to — a correct fraud detection dashboard that runs on actual knowledge, predicts fraud, and appears like a SaaS product. It’s not a tutorial undertaking. It’s a full product.
And now it’s stay:
🔗 https://creditcardfraud.info
On this put up, I’ll stroll you thru the stack I used, how I dealt with massive knowledge, the issues I confronted, and a few takeaways. If you happen to’re somebody studying ML or backend/frontend dev, that is for you.
The concept was easy: add a CSV of bank card transactions, run predictions utilizing an ML mannequin, and show the outcomes on a clear dashboard.
However when you scale this as much as 1 million+ data and intention for real-world utilization… the simplicity goes away in a short time.
