Fraud Detection

Table of Contents

• About Project
• Installation
  • Clone Repository
  • Install Frontend Requirements
  • Install Backend Requirements
• Run the Project
  • Run the Backend
  • Run the Frontend
• Features
• Contribution
• License
• Contact Me
• Acknowledgments

About Project

The Fraud Analysis Dashboard is a web application designed to display fraud analysis results obtained from the IPQualityScore API. It provides a user-friendly interface to assess risk levels and analyze fraud data effectively.

Tech Stack:

• Frontend: React, TypeScript, Shadcn UI, Lucide React
• Backend: Node.js, Express.js
• API: IPQualityScore API (for fraud detection)

Installation

Follow these steps to set up the project on your local machine.

Clone Repository

bash git clone https://github.com/anandsundaramoorthysa/Fraud-Detection.git cd Fraud-Detection

Install Frontend Requirements

bash cd frontend npm install # or yarn install

Install Backend Requirements

bash cd ../backend npm install # or yarn install

Run the Project

Make sure you have Node.js and npm (or yarn) installed on your system.

Run the Backend

```bash cd backend npm start # or yarn start

If using nodemon for development:

npm run dev # or yarn dev ``` Ensure your backend is configured correctly with the IPQualityScore API. You may need to set up an API key in an environment file.

Run the Frontend

Open a new terminal window and navigate to the frontend directory: bash cd frontend npm start # or yarn start This will typically open the application in your web browser at http://localhost:3000/.

Features

• Overall Risk Assessment: Displays a visual representation of the fraud risk score.
• Risk Level Indication: Categorizes risk levels into Low, Medium, High, and Critical.
• Summary Information: Provides details like email validity, deliverability, and raw fraud score.
• Detailed Report: Displays raw JSON fraud analysis data.
• User-Friendly Interface: Uses Shadcn UI for a clean and modern design.
• Iconography: Implements Lucide React icons for better visualization.
• (Upcoming Feature) Data Visualization: Integration with Recharts for graphical representation.

Contribution

Contributions are welcome! To contribute: 1. Fork the repository. 2. Create a new branch (git checkout -b feature-branch). 3. Commit your changes (git commit -m 'Add new feature'). 4. Push to the branch (git push origin feature-branch). 5. Submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact Me

If you have any questions or would like to collaborate, feel free to reach out: - Email: sanand03072005@gmail.com - LinkedIn: Anand Sundaramoorthy

Acknowledgments

This project utilizes the following technologies and services: - IPQualityScore API - Fraud Detection API