AIRealNet Demo

Next-Generation Image Authenticity Analysis

View on Hugging Face • Official GitHub

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📋 Overview

AIRealNet is a state-of-the-art deep learning model designed to detect AI-generated imagery with high precision. This repository contains a demonstration application that showcases the capabilities of the AIRealNet model through a modern, user-friendly web interface.

The application consists of:

• Backend: A Flask-based API serving the AIRealNet model (powered by Transformers & PyTorch).
• Frontend: A sleek, cyberpunk-inspired web interface for easy interaction.

✨ Features

• Real-time Analysis: Instantly analyze images via URL.
• Visual Confidence Scores: Dynamic progress bars showing the model's confidence for each class.
• Modern UI: A responsive, dark-themed interface with glassmorphism and smooth animations.
• Easy Deployment: Simple setup with a unified launcher script.

🚀 Getting Started

Prerequisites

• Python 3.8+
• pip

Installation

1. Clone the repository

   git clone https://github.com/XenArcAI/AIRealNet.git
   cd AIRealNet

2. Install dependencies

   pip install -r requirements.txt

Usage

To start both the backend API and the frontend interface, simply run the provided shell script:

chmod +x run_app.sh
./run_app.sh

Alternatively, you can run the services manually:

Backend (Port 5000):

python3 main.py

Frontend (Port 3000):

python3 frontend/server.py

Access the application at http://localhost:3000.

🤖 Model Information

The core of this application is the AIRealNet model, developed by XenArcAI.

• Hugging Face Hub: XenArcAI/AIRealNet

🤝 Contributing

This is a demo repository. so you can report issues and suggest features.

📄 License

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

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Developed with ❤️ by XenArcAI