This project focused on the rapid prototyping of an IoT-based predictive maintenance system. It explored how human expertise and AI models can work together to monitor equipment conditions, detect potential faults, and support maintenance decisions. The project contributes to Industry 4.0 by integrating IoT sensing, machine learning, and human-in-the-loop decision-making.