In military operations, it's crucial that equipment works reliably. But unexpected breakdowns can cause big problems, like delays and mission failures.
Right now, fixing equipment usually happens only after it breaks. This wastes time and resources. We need a smart system that can predict when equipment might fail, so we can fix it before it causes trouble.
Our project aims to develop an AI-driven predictive maintenance system to forecast equipment failures by analyzing sensor data, operational logs, and maintenance records, aiming to enhance operational readiness and reduce downtime in defense operations.