Metadata-Version: 2.4
Name: syeedalireza-graphguard
Version: 1.0.1
Summary: Graph-based Fraud Ring Detection
Author-email: Alireza Aminzadeh <syeedalireza@yahoo.com>
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Requires-Dist: fastapi==0.110.0
Requires-Dist: uvicorn[standard]==0.27.1
Requires-Dist: pydantic==2.6.3
Requires-Dist: pydantic-settings==2.2.1
Requires-Dist: neo4j==5.18.0
Requires-Dist: pytest==8.1.1
Requires-Dist: pytest-asyncio==0.23.5
Requires-Dist: httpx==0.27.0

# GraphGuard: Graph-based Fraud Ring Detection

**GraphGuard** uses graph databases to detect organized fraud rings, fake review networks, and return-policy abusers in large e-commerce platforms.

Developed by **Alireza Aminzadeh** ([@syeedalireza](https://github.com/syeedalireza)).

## Architecture
- **Graph DB:** Neo4j
- **Analytics:** NetworkX, PySpark
- **API:** FastAPI
- **Pattern:** Graph Analytics, Event-Driven

*(Technical implementation pending in next iteration)*
