Anomaly Detection Monitor

Objectives

• Implement anomaly detection using statistical methods (z-score, IQR, isolation)
• Display a real-time monitoring dashboard with data stream visualizations
• Generate alerts with severity levels when anomalies are detected
• Use AI to perform root cause analysis and suggest corrective actions
• Support configurable thresholds and alert notification rules

Hints

• Use a sliding window approach for real-time anomaly detection
• Combine multiple detection methods and flag when they agree for higher confidence
• Provide the AI with surrounding context (recent normal values, domain) for better root cause analysis

Resources

• en.wikipedia.org/wiki/Anomaly_detection
• recharts.org/en-US/api

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