Welcome to the Image Search Engine project! This repository contains the codebase for an image search engine that allows users to search for images based on their content.

• About
• Features
• Installation
• Usage
• Contributing
• License

The Image Search Engine is a web application that leverages computer vision and machine learning techniques to provide users with the ability to search for images. The application utilizes image recognition algorithms and indexing mechanisms to enable efficient image retrieval based on user queries.

• Image uploading: Users can upload images to the search engine for indexing and future searches.
• Image search: Users can enter a query and retrieve similar images based on their content.
• Image categorization: The search engine automatically categorizes images based on their content using machine learning algorithms.
• Image metadata: The search engine extracts and stores metadata associated with images, such as tags and descriptions.
• User management: The application provides user registration and authentication functionality.

To run the Image Search Engine locally, follow these steps:

1. Clone the repository:

git clone https://github.com/adas0mahdi/image-search-engine.git

2. Install the dependencies:

cd image-search-engine npm install

3. Set up the required environment variables. You can find the necessary variables and their descriptions in the .env.example file. Create a new .env file and populate it with the required values.

4. Start the application:

npm start

5. Open your web browser and navigate to http://localhost:3000 to access the image search engine.

[Provide instructions and examples on how to use the image search engine. Include screenshots or gifs if possible to showcase the user interface and important features.]

We welcome contributions from the community to enhance the Image Search Engine project. If you'd like to contribute, please follow these steps:

1. Fork the repository.

2. Create a new branch for your feature or bug fix:

git checkout -b feature/your-feature-name

3. Make your changes and commit them:

git commit -m "Add your commit message here"

4. Push your changes to your forked repository:

5. Open a pull request to the main repository, providing a detailed description of your changes.

This project is available under the MIT License. Feel free to use it for any purpose.

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