<ul data-eligibleForWebStory="false"><li>The author built a real-time anomaly detection tool using Python, WebSockets, scikit-learn, and GPT-4o.</li><li>The system consumes streaming data, learns normal behavior patterns, and instantly flags outliers.</li><li>An IsolationForest model is used for anomaly detection, with additional feedback provided by GPT-4o.</li><li>The system includes monitoring through a Streamlit dashboard and feature extraction for contextual anomaly detection.</li></ul>

I Built a Real-Time AI System That Detects Anomalies in Streaming Data

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