Alexander Wireless

Alexander Wireless is a comprehensive anomaly detection system designed to identify unusual patterns in billing cycle data. The system processes large datasets of billing information and uses advanced algorithms to detect anomalies that could indicate billing errors, fraud, or system issues.

The project includes both a Python backend for data processing and anomaly detection, as well as a modern Next.js frontend dashboard for visualizing results and managing the system.

Key features include real-time data processing, interactive visualizations, automated anomaly reporting, and a robust database system for storing and querying billing data.