Fake Currency Detection System Final Year Project Source Code

Fake Currency Detection System is a Python and Streamlit based final year project developed for detecting whether an uploaded Indian currency note image is Real Currency or Fake Currency using deep learning. This major project uses a trained Convolutional Neural Network model, image preprocessing, file validation, image preview, TensorFlow/Keras model loading, and browser-based prediction output. Users can upload a currency note image, view the uploaded image, run prediction, and receive a classification result as Real Currency or Fake Currency. The project includes recommended dataset structure, model training workflow, CNN architecture explanation, supported input formats, common error handling, limitations, and security recommendations. This fake currency detection source code is suitable for students who need a final year project, major project, minor project, source code, and project report based on Python, Streamlit, CNN, deep learning, and computer vision.


 

Important Disclaimer

This project provides an AI-based prediction from a currency image. It must not be treated as an official or legally valid currency-authentication tool. Final verification should be performed using authorized banking equipment, official currency security features, or trained professionals.