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husanin/fraud-detection-app1

sourceHugging Faceupdated 1y agoView on Hugging Face
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App README

Transaction Fraud Detection App

This is a simple web app to detect fraudulent transactions using a machine learning model. It is built with static and hosted on Hugging Face Spaces.

How it works

  • —Enter transaction details (amount, balances before and after the transaction).
  • —The model predicts whether the transaction is Fraudulent or Legitimate.

Tech Stack

  • —Python 🐍
  • —Scikit-learn (for the model)
  • —static (for the web interface)
  • —Hosted on Hugging Face Spaces 🚀

Setup (if running locally)

  1. 1.Install dependencies:
bash
    pip install -r requirements.txt
  1. 1.Run the app:
bash
    python app.py

Note

  • —Make sure to have your trained fraud_model.pkl file in the same directory.

Made with ❤️ using Hugging Face Spaces and static.

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference