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2025 · Case study
tarang4all
Live radio signal monitoring across Indian cities with AI pattern detection.
Built a signal ingestion + visualization pipeline with ML-assisted anomaly detection.
The problem
Radio signal patterns across cities are hard to monitor at scale — anomalies get missed until someone is already watching.
Why it's interesting
Combines live signal ingestion with AI-assisted pattern detection on real-world broadcast data.
What I built
- Live signal monitoring dashboard
- Multi-city signal visualization
- AI layer for pattern and anomaly detection
Technical components
Next.jsTypeScriptSignal processing pipelineReal-time data visualizationML pattern detection
What made it non-trivial
Processing and visualizing continuous signal streams while surfacing meaningful patterns without drowning in noise.
My role
Full stack — signal processing, dashboard, AI pattern layer.