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feature-embedding

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This project builds a deep learning model to detect fake & real Indian currency notes using image data and note-specific features. It includes two training pipelines a base CNN with MobileNetV2 and a two-branch network combining image and feature embeddings. Achieved 99% validation accuracy, proving reliable for real-world currency authentication.

  • Updated Oct 18, 2025
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