AI Image Detector

This project is a full-stack web application that detects whether an image is AI-generated or human-made. Users upload an image through a React-based frontend, and the backend analyzes the image using a pre-trained image classification model. The result is returned with a confidence score and displayed as a post.

The application demonstrates server-side image inference, API integration, and result persistence in a simple end-to-end system.

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Demo Screenshots

Image Upload Screen

The interface where users select an image for analysis.

Image Submission

The image being sent to the backend for detection.

Detection Result

The post displaying the uploaded image along with the classification result and confidence score.

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Setup Instructions

Backend

1. Navigate to the backend directory:

cd backend

2. Install dependencies:

pip install -r requirements.txt

3. Start the backend server:

python app.py

The backend will run at: http://localhost:5000

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Frontend

1. Navigate to the frontend directory, install dependencies and start the server:

cd frontend
npm install
npm run dev

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How Image Upload Works

1. The user selects an image in the frontend interface.
2. The image is sent as multipart/form-data to the backend /upload endpoint.
3. The backend saves the image locally and performs image classification.
4. The detection result is returned and rendered as a post.

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Notes

• Uploaded images are stored locally by the backend.
• Detection results are saved in a JSON file for demonstration purposes.
• Classification results are probabilistic and should not be treated as definitive.
• This project is intended for demonstration and educational use.