🕵️‍♂️ Fake Image Detection

Welcome to the Fake Image Detection project! This project aims to detect fake images using machine learning techniques. The project is implemented in a Jupyter Notebook named fake_image_detection.ipynb.

📚 Table of Contents

• 📋 Introduction
• ✨ Features
• 🛠️ Installation
• 🚀 Usage
• 📬 Contact
• 📜 License

📋 Introduction

This project involves using machine learning algorithms to detect fake images. It utilizes various image processing techniques and machine learning models to identify whether an image is real or fake.

✨ Features

• 📂 Loads and processes image data.
• 🧠 Trains machine learning models for fake image detection.
• 📊 Evaluates model performance and makes predictions.
• 📈 Visualizes results and model performance metrics.

🛠️ Installation

To get started with the Fake Image Detection project, follow these steps:

1. Clone the repository:

   git clone https://github.com/syed-muqtasid-ali/fake-image-detection.git

2. Navigate to the project directory:

   cd fake-image-detection

3. Install the required dependencies:

   pip install -r requirements.txt

🚀 Usage

To use the Fake Image Detection notebook, follow these steps:

1. Ensure you have the necessary dependencies installed (see Installation section).

2. Open the Jupyter Notebook:

   jupyter notebook fake_image_detection.ipynb

3. Follow the instructions within the notebook to load data, train models, and evaluate their performance.

📬 Contact

For any questions or inquiries, please feel free to contact me via LinkedIn:

📜 License

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

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Happy Detecting! 🎉