SmartOps IoT + AI Monitoring Platform

Portfolio case study for IT LLC services in AI integration and IoT systems.

Business Problem

Warehouses and cold-chain facilities lose revenue when equipment drifts out of safe ranges. Operators often detect failures too late, causing spoilage, downtime, and compliance risk.

Solution Delivered

How It Works

Every reading travels the same path: authenticated ingest, scoring against the device's own recent history, then fan-out to alerts, dashboard and reporting.

SmartOps telemetry pipeline Sensors send readings to an authenticated ingest endpoint. Each reading is scored against a rolling 25-reading window using z-scores for temperature and vibration, then combined with thresholds and battery decay into a risk score. Results fan out to alerting, the live dashboard and PDF reporting. Sensors temp · humidity vibration · battery Ingest API POST /api/telemetry X-Ingest-Key required Scoring rolling 25-reading window z-score → anomaly + thresholds → risk 0–100 each Alerts Telegram · WhatsApp Live dashboard role-based access PDF report executive summary
Telemetry pipeline: authenticated ingest, per-device statistical scoring, then fan-out.

Technology Stack

FastAPI
SQLite
Chart.js
JWT Auth
Twilio + Telegram API
ReportLab PDF

Outcome

The system demonstrates end-to-end capability from device ingestion to AI-assisted decision support. It is reusable across manufacturing, logistics, agriculture, and energy monitoring engagements.

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