
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.
18 Oct 2026

Tablekeeper is a modern restaurant reservation platform designed to make dining experiences simpler and more convenient for customers while helping restaurants manage their reservations efficiently. The platform enables users to discover restaurants, explore dining options, check table availability, and manage reservations through an intuitive and responsive interface. It aims to reduce the friction associated with traditional reservation processes by bringing restaurant discovery and booking management together in one place. Tablekeeper is built with a modular architecture, combining a React and TypeScript frontend with a FastAPI backend. The project includes a local development environment using SQLite and Docker, alongside a separate PostgreSQL-based deployment adapter. This architecture supports structured development, backend integration, and a pathway toward production deployment. The platform focuses on reliable reservation workflows, clear availability information, and a streamlined user experience. Its design also considers restaurant-side reservation management and the importance of preventing booking conflicts. Tablekeeper demonstrates how modern web technologies can be used to address practical challenges in restaurant operations and customer convenience. The project aims to create a foundation for a scalable restaurant booking ecosystem that can evolve with additional features and integrations.
6 Oct 2026