ML Log Anomaly Detection

An ML-driven system designed to analyze system logs and detect anomalies that could indicate failures or security incidents. The project focuses on extracting meaningful patterns from raw logs and identifying deviations in behavior. This approach helps in proactive incident detection and improves system reliability.