this project will provide banknote authentication, the model will predict is banknote is real or fake note

This project requires Python, jupyter notebook installed and the following Python libraries installed:

• NumPy
• Pandas
• seaborn
• matplotlib
• scikit-learn
• imblearn
• Flask

first, you can clone this git repository

git clone https://github.com/HillalXD/fake-currency-detection.git

then navigate your command to this directory

cd fake-currency-detection

after that run app.py to open flask webapp

python app.py

then on webapp browser url add /apidocslike this:

http://127.0.0.1:8000/apidocs

• Template code is provided in the classifier.ipynb notebook file.
• banknote.csv is provide data source for training model
• knearest.pkl is classifier pickle file
• app.py is flask webapp file