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ML integrated web app to predict the genuinity of transactions. Done as part of CIS-hackathon

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F-DetectoR

ML integrated web app to predict the genuinity of transactions.

Libraries Used

  • Scikit-learn
  • Pandas
  • Numpy
  • Pylab
  • Matplotlib

Frameworks Used

  • Flask

How to contribute ?

Feel free to suggest your opinions by creating an issue or mail us at gthackers4evri1@gmail.com.

Getting Started

  1. Clone or download this repo.
git clone https://github.com/premakhil/F-DetectoR.git
  1. Navigate to project directory.
cd F-DetectoR/
  1. Install dependencies
pip install -r requirements.txt
  1. Setup FLASK APP
export FLASK_APP = run.py
  1. Run the app
flask run
  1. Open in browser
http://127.0.0.1:5000/

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ML integrated web app to predict the genuinity of transactions. Done as part of CIS-hackathon

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