AI-ENABLED NETWORK MONITORING SOLUTION

Abstract: This project develops an AI-Enabled Network Monitoring System to improve network monitoring. As networks grow with more users and data, manual monitoring becomes difficult. Traditional systems use fixed rules and cannot detect new issues effectively. This project uses the Isolation Forest algorithm to detect abnormal network activities. It analyses data like bandwidth, packet flow, and latency to learn normal behaviour and find unusual patterns. The system works in real time and sends alerts when anomalies are detected. Overall, this project provides a simple and automated solution to improve network performance and security while reducing manual effort.

Keywords: AI Monitoring, Network Traffic Analysis, Anomaly Detection, Machine Learning, Network Security, insulation timber, Python.