AI Image Or Real Image Detection Details 

Detects whether an image is AI generated or real using Transformers

Project Description 

This project involves developing a web application to detect whether a given image is AI-generated or real using deep learning techniques. A Transformer-based model (Vision Transformer – ViT) is used to analyze image features and identify subtle patterns that differentiate synthetic images from real ones. The application allows users to upload images through a web interface and receive accurate predictions, making it suitable for academic and real-world use cases. 

Features 

• Detection of AI-generated vs real images

• Vision Transformer (ViT) based deep learning model

• Image preprocessing and feature extraction

• User-friendly web interface for image upload

• Model inference and result visualization

• Suitable for final-year projects and research work

Tech Stack

• Python

• Hugging Face (Pre-trained Models)

• Vision Transformer (ViT)

• Flask (Backend Framework)

• HTML, JavaScript (Frontend)

• NumPy, Pandas, and other essential Python libraries

System Requirements

• Python 3.10+

• Anaconda

• No GPU required

Deliverables 

• Jupyter Notebook

• Dataset

• Setup over video call 

• WhatsApp support