Skip to content

devesh-2002/fake-currency-detection

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 
 
 

Repository files navigation

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

About

Detect Fake Currency using Transfer Learning!

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published