Back to Project List

AI Operator Recommendation System

2025✅ Completed
Photo Documentation Under Review

Project Overview

A machine learning advisory tool processing hundreds of plant variables (pressures, temperatures, fan flows) to recommend optimal target values, helping operators stay in the high-efficiency zone.

Key Results & Impact

  • 37% reduction in operator-controllable fuel losses (Company OKR 2025).
  • Real-time setpoint suggestions served with sub-second latency.
  • High operator adoption rate due to clear confidence scores.

Technologies Used

PythonPyTorchDeep LearningDockerFastAPI

Additional Information

CategoryApplied ML & AI
Year2025
StatusCompleted