Overview

This project leverages machine learning to detect anomalies in network traffic, identifying potential security threats, performance issues, or system misconfigurations in real-time. Using a combination of unsupervised learning and time-series analysis, it enables proactive monitoring and alerts for abnormal behavior across distributed systems.