Design and Implementation of an AI-Based Credit Card Fraud Detection System

Computer Science — 2025, Undergraduate

This study designed and implemented an AI-based Credit Card Fraud Detection System to identify suspicious transactions in real time. The growing volume of electronic payments has increased exposure to fraud, and rule-based screening alone is inadequate. The system applies machine learning classifiers trained on labelled transaction data to flag potentially fraudulent activity for review. Built with Python Django and SQLite, the system was evaluated against historical transaction records. Findings showed high detection accuracy and a low rate of false positives. The study recommends integration with banking systems and continuous model retraining to sustain performance.

For reference and learning only. Do not submit this work as your own.

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