Smart Power Guardian

AI‑driven electrical fault detection · Real‑time energy monitoring · Groq LLM reasoning

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Hidden faults, massive risks

Industrial electrical systems fail silently — wasting energy, destroying equipment, and endangering lives.

Conventional protection misses intermittent arcs, insulation decay, and overload patterns. Our AI fuses high-frequency sensor data with Groq LLaMA 3.3 70B reasoning to detect micro‑faults before they escalate. We cut energy waste by up to 30% and eliminate arc‑flash hazards through predictive severity classification.

AI reasoning Zero‑downtime analytics
industrial power monitoring

Intelligent core capabilities

Fault Detection Engine

High‑frequency waveform analysis & pattern recognition for series arc, ground, and incipient faults.

Power Analytics

Real‑time consumption breakdown, harmonic distortion, and anomaly detection with sub‑meter accuracy.

Severity Classification

Multi‑class risk levels (critical/warning/info) using Bayesian inference & Groq LLM reasoning.

AI Engineering Advisory

Natural language root cause analysis & repair suggestions generated by fine‑tuned LLaMA 3.3.

Industrial Dashboard

3D real‑time visualization of grid health, event timelines, and predictive alerts.

Edge + Cloud Sync

Seamless data flow from on‑site sensors to Hugging Face Spaces for continuous learning.

Industrial data pipeline

From raw signal to actionable intelligence – low‑latency AI inference at scale.

Smart Sensors IEC 61850 / Modbus
Fault Detection FFT + wavelet
Groq LLM LLaMA 3.3 70B
Dashboard Gradio · real‑time

Powered by modern AI stack

Python
Gradio
Groq LLaMA 3.3 70B
Hugging Face Spaces

Inference at 500+ tokens/sec · fine‑tuned on electrical failure datasets · zero‑shot reasoning for unknown fault signatures.

See it in action

Live interactive demo on Hugging Face Spaces – feed sensor data and watch the AI detect & classify faults instantly.

Launch Hugging Face App
GitHub Groq‑ready
product demo / walkthrough

click to play (simulated)

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