Skip to content

Latest commit

 

History

History
47 lines (35 loc) · 1.54 KB

README.md

File metadata and controls

47 lines (35 loc) · 1.54 KB
Raw

AI vs. Real Image Detection : TroothView

This project is a web application that allows users to upload images to determine if they are AI-generated or real. The application utilizes a Gradio model for predictions and visualizes the results using a doughnut chart.

Table of Contents

Features

  • Drag-and-drop image upload functionality.
  • Preview of the uploaded image.
  • Displays prediction results (FAKE or REAL).
  • Visual representation of confidence levels using a doughnut chart.
  • Error handling for a smooth user experience.

Technologies Used

  • React: JavaScript library for building user interfaces.
  • Framer Motion: Animation library for React.
  • Chart.js: Library for creating beautiful charts.
  • Gradio: Framework for building machine learning demos.
  • Tailwind CSS: Utility-first CSS framework for styling.

Installation

To get started with the project, clone the repository and install the necessary dependencies:

git clone hhttps://github.com/selvin-paul-raj/TroothView.git
cd client
npm install
npm run dev

Usage

  1. Upload Image: Drag and drop an image or click to browse files.
  2. View Prediction: Click the "Upload" button to see if the image is AI-generated or real.
  3. Results Visualization: The confidence levels will be displayed in a doughnut chart.