Case Study

Pakistani Currency Classifier

EfficientNetOpenCVTensorFlowKeras
Pakistani Currency Classifier Showcase and System Interface

The Challenge

Visually impaired individuals and automated cash-handling systems need instant, reliable identification of currency notes in real-time video streams.

The Solution

Fine-tuned the EfficientNet architecture on a curated dataset of Pakistani notes. Integrated with OpenCV for live video processing and real-time inference.

Key Results

  • Achieved 99% accuracy in recognition tasks.
  • Enables fast, secure automated cash-handling workflows.
  • Real-time processing capability via OpenCV integration.

Project Details

CategoryBackend Engineering
RoleLead Developer