CuratedIntermediate$20
AI Anomaly Detection
Build an anomaly detection system that monitors time-series metrics, detects unusual patterns using statistical and ML methods, triggers alerts, and provides AI-powered root cause analysis.
Modules
6
Verified
0
In Progress
0
What you walk away with
- ✓A shareable portfolio URL with your project walkthrough
- ✓Module-by-module timeline of everything you built
- ✓All the code — pipelines, guardrails, deployment configs
- ✓Production patterns documented on your profile
Claude CodeTypeScriptNext.jsSupabaseStatisticsML
Build a production anomaly detection system. You'll ingest multi-source metrics with windowing, implement statistical baselines (moving averages, z-scores, seasonal decomposition), build ML detectors (isolation forest + autoencoder ensemble), create an alert engine with dedup and escalation, deploy a monitoring dashboard, and add root cause analysis with SLA tracking.