Smart IoT device health monitor with ScrapeGraphAI and Telegram

Smart IoT Device Health Monitor with AI-Powered Dashboard Analysis and Real-Time Alerting

🎯 Target Audience - IT operations and infrastructure teams - IoT system administrators and engineers - Facility and building management teams - Manufacturing and industrial operations managers - Smart city and public infrastructure coordinators - Healthcare technology administrators - Energy and utilities monitoring teams - Fleet and asset management professionals - Security and surveillance system operators - Property and facility maintenance teams

🚀 Problem Statement Monitoring hundreds of IoT devices across multiple dashboards is overwhelming and reactive, often leading to costly downtime, missed maintenance windows, and system failures. This template solves the challenge of proactive IoT device monitoring by automatically analyzing device health metrics, detecting issues before they become critical, and delivering intelligent alerts that help teams maintain optimal system performance.

🔧 How it Works

This workflow automatically monitors your IoT dashboard every 30 minutes using AI-powered data extraction, analyzes device health patterns, calculates system-wide health scores, and sends intelligent alerts only when intervention is needed, preventing alert fatigue while ensuring critical issues are never missed.

Key Components

1. Schedule Trigger - Runs every 30 minutes for continuous device monitoring 2. AI Dashboard Scraper - Uses ScrapeGraphAI to extract device data from any IoT dashboard without APIs 3. Health Analyzer - Calculates system health scores and identifies problematic devices 4. Smart Alert System - Sends notifications only when health drops below thresholds 5. Telegram Notifications - Delivers formatted alerts with device details and recommendations 6. Activity Logger - Maintains historical records for trend analysis and reporting

📊 Device Health Analysis Specifications