Project Overview
We built an AI-driven predictive maintenance system for a large manufacturing facility. By analyzing sensor data from machinery in real-time, the system can identify patterns that precede equipment failure. This allows maintenance teams to intervene proactively, significantly reducing unplanned downtime and maintenance costs. The solution includes a web-based monitoring dashboard and automated alert system.
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Project Info
Client
Industrial Dynamics
Date
September 2025
Technologies
Python TensorFlow IoT Sensors Grafana
