Project Overview

Workflow automation solution for a manufacturing company, focused on integrating **IoT sensors** and machine learning for **predictive maintenance** and optimizing production lines.

Challenges & Solutions

• Successfully integrating legacy industrial machines with modern IoT gateway technology.
• Developing robust pipelines for **real-time data collection** and complex analysis.
• Creating accurate **predictive maintenance algorithms** to anticipate equipment failure.
• Managing organizational change and **user training** for the new automated systems.

Technologies Used

• Python
• IoT
• Azure
• Power BI
• TensorFlow

Results & Impact

• Downtime: -70% (Reduced unscheduled machine downtime)
• Maintenance Cost: -40% (Lowered reactive and routine maintenance costs)
• Production Output: +25% (Increased overall production efficiency)
• Data Accuracy: +99% (Achieved high sensor data reliability)

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