AI-Powered Predictive Maintenance & Fault Diagnosis through Model Context Protocol. An open-source framework for integrating Large Language Models with predictive maintenance and fault diagnosis workflows.

An advanced Industrial IoT (IIoT) simulator for Smart Factory 4.0 environments using Python, MQTT, and Docker. Emulates configurable production lines with realistic sensor data (vibration, temperature, quality) and predictive alerts.

🎯 AI-powered CNC production monitoring: Automatically tracks machining cycles, optimizes efficiency, reduces costs 15-25%. Real-time analytics, predictive maintenance alerts, seamless MES integration. Industrial-grade security, 99.8% uptime. ROI in 6-12 months. Ready for Industry 4.0.

Pipeline de Engenharia de Dados (Databricks Free Edition) para o SCANIA Component X Dataset: ingestão via Volumes, Delta Lake e arquitetura Medalhão (Bronze→Silver→Gold), modelagem em Esquema Estrela e dashboards/SQL para manutenção preditiva

Mobile application development for mill project digitalization, focusing on operational efficiency, data collection, and real-time industrial monitoring.

Predictive Fault Detection System for Three-Phase Induction Motors using Thermography and CNNs with Grad-CAM Interpretability | Bachelor's Thesis | UFSC 2025

A Real-Time Manufacturing Intelligence Dashboard integrating a Decision Support System (DSS) and Expert System for predictive maintenance, energy optimization, and smart factory diagnostics. Built with React, Tailwind CSS, and Hybrid Intelligence logic.