I tackled a project aimed at using AI to predict machinery health based on sensor data. The main hurdle was making sense of the vast amount of sensor information to understand when machines might have problems. It was tricky to develop AI systems that could accurately forecast issues before they occurred. I had to refine these systems to give timely alerts about potential breakdowns or maintenance needs. It involved lots of testing and tweaking to get the predictions right and create a system that could help keep the machines running smoothly.