Trust every reading.
Before the forecast does.

Physics-aware, explainable anomaly intelligence for temperature, pressure and humidity—built to separate genuine extreme weather from sensor faults in real time.

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Hybrid IntelligenceTemporal baseline + multivariate physics + fault signatures + adaptive confidence + self-healing corrections.

DATA SOURCEConnecting to live public weather feed…Official IMD AWS connector is supported but requires IMD IP whitelisting.

ACTIVE STATION

ANOMALY INJECTION LAB

°C

TEMPERATURE—1-minute telemetry

hPa

PRESSURE—sea-level adjusted

HUMIDITY—relative humidity

♥

SENSOR HEALTH—Predictive health score

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Real-Time TelemetryAdaptive temporal & seasonal station baseline

AI VerdictExplainable hybrid decision

0/100 anomaly

XAI

Explainability MatrixFeature-level contribution to this decision

↻

Self-Healing & MaintenanceCorrected values + predictive sensor care

CORRECTED TEMPERATURE—

CORRECTED PRESSURE—

CORRECTED HUMIDITY—

🔧

No maintenance action requiredHealth trajectory combines anomaly persistence, drift signatures and severity.

Live Alert QueueRoot cause, severity and confidence

✓ No unresolved anomalies

REAL-DATA BENCHMARK

Fault-injection evaluation on fetched historical weather data.

PRECISION—

RECALL—

F1 SCORE—

SAMPLES—

EDGE → CLOUD ARCHITECTURE

Built to scale from one ESP32 to a national AWS observation network.

ESP32 / AWS→Streaming QC→Hybrid AI→XAI + Health→API / IMD Systems

3 INPUT VARIABLES ONLYOFFLINE-CAPABLE SCORINGLOW-POWER EDGE PATHSTATELESS NETWORK APIANOMALY-INJECTION BENCHMARK

Trust every reading.Before the forecast does.

Fault-injection evaluation on fetched historical weather data.

Built to scale from one ESP32 to a national AWS observation network.

Trust every reading.
Before the forecast does.