AI Image Detector

This project is a Streamlit web application that detects whether an uploaded image is real or AI-generated. It uses a trained TensorFlow model to classify images and provides a confidence score for the prediction.

Features

• Upload images in JPG, JPEG, or PNG format.
• Detect if the image is real or AI-generated.
• Display prediction confidence.

Installation

1. Clone the repository:

   git clone <repository-url>
   cd fake_real_image

2. Create and activate a Python virtual environment (optional but recommended):

   python -m venv envr
   # On Windows
   envr\Scripts\activate
   # On macOS/Linux
   source envr/bin/activate

3. Install the required dependencies:

   pip install -r requirements.txt

Usage

Run the Streamlit app with the following command:

streamlit run web.py

Open the provided local URL in your browser, upload an image, and view the prediction.

Requirements

• Python 3.7+
• TensorFlow
• Streamlit
• Pillow
• numpy

All dependencies are listed in requirements.txt.

License

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