Credit Card Fraud Detection System Final Year Project Source Code Download | FileMakr

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Credit Card Fraud Detection System Final Year Project Source Code

Complete final-year project source code with frontend, backend, database and setup documentation. Instant download after secure payment.

Credit Card Fraud Detection System Final Year Project preview

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What's Included in Your Download

  • Complete Source Code

    Full project code with frontend & backend.

  • Database & Resources

    SQL database file and all required resources.

  • Documentation

    Step-by-step README and setup instructions.

  • Configuration Files

    All configuration files and dependencies included.

  • Easy to Customize

    Clean, well-structured code for easy customization.

  • Student Friendly

    Perfect for learning and final-year submissions.

Choose the Package That Fits You Best

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01 Source Code Only

₹99

One-time Payment

  • Complete project source code
  • Database / data resources
  • Dependencies & configuration
  • README / setup guide
  • Instant download access
Download — ₹99
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02 Code + Setup Support

₹248

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  • Everything in Source Code plan
  • Remote setup assistance
  • Database & configuration setup
  • Run verification
  • Help via WhatsApp / Email
Download — ₹248

Project's Overview

Credit Card Fraud Detection System is a Python Flask based final year project developed for detecting suspicious and fraudulent credit card transactions using rule-based risk scoring. This major project allows users to register, log in, reset passwords through security question and system-generated OTP, manage profiles, add transactions manually, upload transactions through CSV, validate transaction rows, check fraud for single or bulk transactions, view risk score, view reason tags, search/filter/sort records, download PDF or CSV reports, manage optional card profiles, view notifications, export user data, and clear personal transaction data. The system classifies each transaction as Safe, Suspicious, or Fraud based on risk factors such as unusual amount, odd transaction time, high-risk merchant, daily limit exceeded, and rapid transaction frequency. This Credit Card Fraud Detection source code is suitable for students who need a final year project, major project, minor project, source code, and project report based on Flask, SQLite, transaction analysis, and fraud detection logic.

Login Credentials

Demo User Account after seeding

Seed data creates:

  • 1 demo user
  • 8 transactions
  • 2 card profiles