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Cheque-a-Fraud - SacHacks VI Winner

Live Link: Cheque-a-Fraud

React Next JS TypeScript
JavaScript Node.js GitHub

🎯 About The Project

Cheque-a-Fraud is an innovative educational platform designed to teach users about financial fraud detection through interactive simulations. Built for SacHacks 2025, this application combines gamification with real-world fraud detection scenarios to create an engaging learning experience.

✨ Features

🎮 Interactive Learning Mode

  • Hands-on fraud detection scenarios
  • Real-time feedback and scoring
  • Detailed explanations of different fraud types
  • Progressive difficulty levels

🎯 Practice Mode

  • Simulated banking environment
  • Interactive iPad-like interface
  • Multiple app integrations (Banking, Email, Messages, etc.)
  • Real-time transaction monitoring

📚 Educational Content

Learn about various types of fraud:

  • Identity Theft
  • Card Skimming
  • Money Laundering
  • Phishing Scams
  • Account Takeover
  • Fake Invoices

🛠 Technical Features

  • Modern iPad-style UI
  • Real-time transaction analysis
  • User authentication and progress tracking
  • Interactive feedback system
  • Responsive design

🚀 Getting Started

Prerequisites

  • Node.js (v18 or higher)
  • npm or yarn
  • A modern web browser

Installation

  1. Clone the repository
git clone https://github.com/karanjot-gaidu/sachacks.git
  1. Install dependencies
cd sachacks
npm install
  1. Start the development server
npm run dev
  1. Open http://localhost:3000 in your browser

🛠 Built With

🎯 Core Features

Learning Module

  • Interactive fraud detection scenarios
  • Real-time feedback
  • Detailed explanations
  • Progress tracking

Simulation Environment

  • Banking app simulation
  • Email integration
  • Message integration

👥 Team

Karanjot Gaidu
Karanjot Gaidu

Sandeep Virk
Sandeep Virk

Kopal Singh
Kopal Singh

🙏 Acknowledgments

  • SacHacks 2025 for the opportunity
  • All Contributors/Mentors

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SacHacks VI Winner. Cheque-a-Fraud is an innovative educational platform designed to teach users about financial fraud detection through interactive simulations

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