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