AI Predictive Maintenance IoT Dashboard

An interactive, dark-themed web dashboard built using Flask, HTML5, and Pure CSS. This system provides an end-to-end interface for tracking real-time IoT industrial machinery telemetries, mapping sensor statistics dynamically, and running automated predictive analytics using AI modeling principles.

🚀 Features

• Autonomous Telemetry Pipeline: Automatically streams synthetic 24-hour sensor data upon loading without needing manual inputs.
• Dynamic Pure CSS Charting: Renders multi-variable responsive charts mapping Temperature (°C) and Vibration (mm/s) seamlessly via flexbox height bindings.
• AI Diagnostics Insights: Provides instantaneous predictive health scoring, anomaly recognition readouts, and prescriptive recommendations.
• Robust CSV Upload Validation: Parses client-side telemetry file uploads safely via Pandas with automated whitespace and lowercase structural cleaning to mitigate runtime key errors.

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📂 Project Structure

Ensure your workspace directory looks like this:

AI-Predictive-Maintenance-IoT/
├── app.py                  # Core Flask backend routing & data simulation API
├── uploads/                # Directory storing processed CSV sensor telemetries
└── templates/
    └── index.html          # Dashboard user interface & CSS charting scripts