Anomaly Agent
Streaming Anomaly Detection with Automated Root Cause Analysis
Tech Stack
Python • Isolation Forest • Gradio • Time Series • Docker
92%Precision
<5 minAlert Latency
AutoRoot Cause
Overview
Isolation Forest anomaly detection on streaming sensor data with automated root cause analysis. 92% precision.
Problem
Industrial sensor streams generate massive data volumes. Manual monitoring misses subtle anomalies that precede equipment failures.
Solution
Isolation Forest model detecting anomalies in vibration, temperature, and pressure time series data with automated root cause analysis surfaced to operations teams.
Architecture
Sensor Stream → Feature Extraction → Isolation Forest → Anomaly Detection → Root Cause Analysis → Alert