Skip to content

Latest commit

 

History

History
39 lines (35 loc) · 999 Bytes

README.md

File metadata and controls

39 lines (35 loc) · 999 Bytes
Raw

Fake Currency Detection

This project takes an image of the currency and checks if the currency uploaded is Fake or Real. VGG16 Model is used here as a pre-trained CNN Model, However it is fine tuned on a different dataset.

Tech Stack

  1. React
  2. Docker
  3. Flask
  4. Jupyter-Notebook

Running the project

  1. Fork and Clone the forked repository.
  2. Move in the frontend folder, type below command to install the packages.
yarn
  1. Run the frontend by the command :
yarn run dev
  1. Move to the flask folder, and create an environment.
virtualenv env
  1. Activate the environment.
env/Scripts/activate
  1. Install the libraries mentioned in the requirements.txt in the activated environment.
pip install -r requirements.txt
  1. Run the below command to run the flask app :
python app.py

Screenshot

image