fake-currency-detection

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

Install

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

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

Usage

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

Code

• 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