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FraudShield v1.0.0 Initial Release

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@Zainab157 Zainab157 released this 03 Jul 21:04
v1.0.0
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FraudShield v1.0.0 — Initial Release

Release Date: April 2026
Platform: Windows 10 / Windows 11 (64-bit)

What's New

Complete 8-module AI fraud detection desktop application, released as a standalone Windows installer. No Python installation required.

Core System

  • Full PyQt5 desktop application with dark and light theme support
  • Session-based authentication with bcrypt password hashing and account lockout
  • SQLite3 database with Fernet-encrypted account numbers
  • Role-based access control: Admin and Analyst roles

AI & Machine Learning

  • 6 trained ML models: Logistic Regression, Random Forest, Decision Tree, SVM, Isolation Forest, K-Means
  • Soft-voting ensemble model combining all 4 supervised classifiers
  • Hybrid OR-gate model: flags fraud if Ensemble or Isolation Forest detects it
  • Risk scoring (0–100) on every transaction
  • AI controls in Admin Panel: configurable threshold (60–90%), model retraining

Transaction Management

  • Manual transaction entry with account number encryption
  • Bulk CSV import supporting 100,000+ records
  • Edit and review transactions with real-time fraud status

Alerts System

  • Real-time alerts generated for transactions above risk threshold
  • Severity levels: Low, Medium, High
  • Sound notifications (WAV) with toggle control
  • Alert resolution and audit trail

Analytics Dashboard

  • Live stat cards: total transactions, fraud count, revenue, risk score
  • Trend comparison vs. previous period
  • Charts: fraud trend line, risk score distribution, monthly bar comparison
  • Animated splash screen on startup

Reports & Export

  • Professional PDF reports via ReportLab with header, summary table, and charts
  • Excel export via openpyxl
  • Date range and status filters
  • Downloadable directly from the Reports tab

Admin Panel

  • User management: create, view, delete users
  • System activity logs and login history
  • Database backup and restore
  • AI model controls and threshold configuration

System Requirements

Minimum Recommended
OS Windows 10 (64-bit) Windows 11 (64-bit)
RAM 4 GB 8 GB
Disk 2 GB free 4 GB free
Python Not required Not required

Installation

  1. Download FraudShield_Setup.exe from the assets below
  2. Right-click → Run as administrator
  3. Follow the setup wizard (default install: C:\Program Files\FraudShield)
  4. Launch from the Desktop shortcut or Start Menu → FraudShield

Default Login Credentials

Username: admin
Password: admin123

⚠️ Change the default password immediately after first login via Profile → Change Password.

Key Capabilities

  • AI fraud detection result in under 3 seconds per transaction
  • Supports 100,000+ transaction records without performance degradation
  • Fully offline — no internet connection required after installation
  • Dark and light theme, switchable per user account
  • All sensitive account numbers encrypted at rest with Fernet symmetric encryption

Known Limitations

  • Windows only — macOS and Linux are not supported in this release
  • Large CSV imports (50,000+ rows) may take 2–3 minutes to process
  • First model training after a fresh database requires 5–10 minutes
  • Sound notifications use winsound and require a Windows audio device

Files in This Release

File Description
FraudShield_Setup.exe Windows installer — run this to install

Team

Name Contribution
Zainab AI Model Development & Backend
Aqsa Nadeem Database Design & Desktop UI
Zainab Minahil Reporting, Integration & Deployment

Project Advisor: Prof. Muzammil Sadiq
University: University of Central Punjab, Lahore
Group ID: G1F22FYPCS011
Academic Year: 2025–2026

This software was developed as a Final Year Project for academic purposes only. All rights reserved © 2026.

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