Online Transaction Fraud Detection using Backlogging on E-Commerce Website

• This is a Mini Project I got in my 6th Semester of Engineering. I did this as a group project with my 3 friends. We made this project using Django framework of Python.
• In this, we implemented Fraud Detection System (FDS) using Behavior and Location Analysis (BLA) to detect a payment fraud. FDS verifies whether the transaction is genuine or not. User spending patterns and geographical location is used to verify the identity. If any unusual pattern is detected, payment is declined.
• For location analysis, we utilised ipinfo.io. To obtain the location, we must utilise the ipinfo.io access token.

How to Use?

git clone https://github.com/shivamsaraswat/credit-card-fraud-detection.git
cd credit-card-fraud-detection.git
pip install virtualenv
virtualenv env
.\env\Scripts\activate
pip install -r .\requirements.txt
After working
deactivate