Vishweshwaran K @vishweshwaran_2006

FactoryGuard is an AI-assisted industrial incident intelligence platform designed to demonstrate how intelligent monitoring can support predictive maintenance and better operational decisions in manufacturing. The project features an interactive dashboard for a simulated factory containing 10 CNC machines. It monitors telemetry such as temperature, vibration, motor current, and pressure, identifies abnormal conditions using rule-based detection, and presents incident severity, supporting evidence, potential causes, and recommended maintenance actions. FactoryGuard follows a human-in-the-loop workflow: operators review investigation results and approve or reject proposed interventions rather than allowing AI to control machinery autonomously. It also demonstrates incident lifecycle tracking, from detection and investigation through maintenance, recovery, and closure. The project explores the AMD developer ecosystem and AMD Token Factory's API-based model ecosystem as a potential path for AI-assisted industrial investigations. An Evolus chat widget integrated into the dashboard supports Italian-language interaction about simulated incidents. The application combines a responsive web interface, deterministic fault-detection logic, optional model-integration paths, and optional MongoDB persistence. FactoryGuard demonstrates a practical approach to evidence-led industrial AI, with an emphasis on transparency, uncertainty awareness, and human oversight. Machine telemetry and faults are simulated; the project is a prototype and is not connected to real industrial equipment.

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