README.md

metadata

title: Advanced Fraud Analyst
emoji: 🔍
colorFrom: red
colorTo: yellow
sdk: streamlit
sdk_version: 1.28.1
app_file: app.py
pinned: false

Advanced Fraud Analyst

What it does

This project demonstrates a fraud analysis assistant powered by large language models and external tools. It inspects transactions for anomalies, aggregates threat intelligence, and explains risk scores for investigators.

Stack diagram

[User] -> [FastAPI] -> [LLM Provider] -> [Tools]
                                     |-> Threat Intel API
                                     |-> Validation Module

Quickstart

make up  # or
docker compose up --build

Demo

A 60–90s demo GIF or Loom video should be placed here to showcase basic usage.

Eval results

metric	accuracy	groundedness	latency (ms)	cost/query	cache hit rate
example run	0.92	0.95	850	$0.002	80%

Safety

• Handles PII via mode-switching and redaction.
• Includes jailbreak and prompt-injection tests.

Limits & next steps

Current evaluations are synthetic. Real datasets, richer adversarial prompts, and continuous monitoring are needed for production readiness.

Metrics & speed

See metrics/fastapi_metrics.png for p50/p95 latency, cost per query, and cache hit rate screenshots.

Commit signal

Ship small daily. Open issues with labels (bug, feature, eval) and close them with PRs tied to metrics improvements.