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README.md

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+```markdown
+# Dogs & Cats Breeds Classification
+
+## Introduction
+This project aims to classify images of dogs and cats into their respective breeds using machine learning techniques. It is designed to be a helpful tool for pet owners, veterinarians, and animal enthusiasts who wish to identify the breed of a particular dog or cat from an image.
+
+## Features
+- Utilizes a pre-trained Convolutional Neural Network (CNN) model for image classification.
+- Supports a wide range of dog and cat breeds.
+- Easy-to-use interface for uploading and classifying images.
+
+## Requirements
+- Python 3.6 or higher
+- Dependencies listed in `requirements.txt`
+
+## Installation
+To set up the project environment, follow these steps:
+```bash
+# Clone the repository
+git clone https://huggingface.co/Dhrumit1314/Dogs_Cats_Breeds_Classification/tree/main
+cd Dogs_Cats_Breeds_Classification
+
+# Install the required packages
+pip install -r requirements.txt
+```
+
+## Contributing
+Contributions to improve the project are welcome. Please follow the standard fork-and-pull request workflow.
+
+## License
+This project is licensed under the MIT License - see the `LICENSE` file for details.
+
+## Acknowledgments
+- Thanks to the creators of the pre-trained CNN models used in this project.
+- Appreciation to the Hugging Face community for hosting and supporting the project repository.
+```
+This README provides a concise overview of the project, including its purpose, features, installation instructions, usage, and contribution guidelines. It is structured to be clear and informative for users and potential contributors.