EthXpose Frontend

A Next.js web application for Ethereum wallet fraud detection using machine learning algorithms and transaction graph analysis.

Features

• Wallet Analysis: Enter any Ethereum wallet address to analyze its fraud probability
• Interactive Graph: Visualize transaction relationships using D3.js force-directed graphs
• Real-time Classification: Get instant fraud probability scores using machine learning models
• Modern UI: Clean, responsive interface built with Tailwind CSS

Tech Stack

• Frontend: Next.js 14, React 18, TypeScript
• Styling: Tailwind CSS
• Visualization: D3.js
• HTTP Client: Axios
• Deployment: Vercel

Getting Started

Prerequisites

• Node.js 18+
• npm or yarn

Installation

1. Clone the repository:

git clone <your-repo-url>
cd ethxpose-frontend

2. Install dependencies:

npm install

3. Run the development server:

npm run dev

4. Open http://localhost:3000 in your browser.

Building for Production

npm run build
npm start

Deployment on Vercel

This application is configured for easy deployment on Vercel:

1. Push your code to a Git repository (GitHub, GitLab, or Bitbucket)
2. Connect your repository to Vercel
3. Vercel will automatically detect the Next.js framework and deploy
4. Your app will be available at https://your-app-name.vercel.app

Manual Deployment

You can also deploy manually using the Vercel CLI:

npm i -g vercel
vercel

API Integration

The application connects to the EthXpose API at https://ethxpose.onrender.com for wallet classification and fraud detection.

Project Structure

├── app/
│   ├── globals.css      # Global styles
│   ├── layout.tsx       # Root layout component
│   └── page.tsx         # Main application page
├── package.json         # Dependencies and scripts
├── next.config.js       # Next.js configuration
├── tailwind.config.js   # Tailwind CSS configuration
├── tsconfig.json        # TypeScript configuration
└── vercel.json          # Vercel deployment configuration

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Submit a pull request

License

This project is licensed under the MIT License.