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.

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

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

🏆 4th place @ Be in Times 2024 (ESTIEM × Kept): operational efficiency improvement for metallurgical company via MES/ERP/IIoT roadmap

End-to-End Industrial AI-driven condition monitoring system for early fault detection in rotating machinery using Unsupervised LSTM Autoencoders. Detects failures 72h in advance. Early fault detection with 100% accuracy on high-frequency sensor data (NASA IMS Dataset).

Interactive StoreFactory demo web app (RWTH Master thesis project, 2016).

Active support system for industrial workers through wearable devices. Exploring the synergy between human labor and smart technology in Industry 4.0. Includes full thesis and presentation.

Industrial IoT Educational Bridge - ESP32 to React Dashboard via MQTT. Learn Industry 4.0 concepts: Edge Computing, MQTT, InfluxDB, Real-time Visualization. Perfect for technical students!

Real-time Decision Support System for smart manufacturing with AI-powered diagnostics, 500-machine monitoring, and cost-aware What-If simulations. Built with FastAPI + React.

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

A professional Maintenance Management System built on Odoo 18. It features production line tracking, equipment downtime analysis, and digital maintenance logs, designed to transform paper-based records into a smart industrial solution. نظام احترافي لإدارة الصيانة مبني على أودو 18، يتميز بتتبع خطوط الإنتاج وتحليل أعطال المعدات وسجلات رقمية ذكية.

🛡️ Solução de Manutenção Preditiva (Indústria 4.0) baseada em IA. Monitoramento de sensores em tempo real para prevenção de falhas críticas e redução de downtime.

Industry 4.0 hybrid storage layer using polyglot persistence (MySQL + MongoDB) for telemetry and operational logs.

"Desarrollar Simulación VR en Industrias 4.0" Especializándome en crear sistemas de control interactivos para robótica industrial en entornos de Realidad Virtual. Enfocado en la transición de controles manuales a sistemas inmersivos utilizando Unity y XR Interaction Toolkit.

Turn competitor data into your competitive advantage—automatically!

A Real-time Bioreactor Monitoring Dashboard for Industrial Fermentation

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.