{"id":28313481,"url":"https://github.com/abixnash/handwritten-recognition","last_synced_at":"2026-04-27T08:32:02.541Z","repository":{"id":197852723,"uuid":"699496573","full_name":"AbiXnash/Handwritten-Recognition","owner":"AbiXnash","description":"This GitHub repository showcases my \"Handwritten Digit Recognition\" project, created during my SmartKnower program. 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It takes an input image of a handwritten digit and predicts the digit using a pre-trained model.\n\n### Features\n\n- Recognizes handwritten digits (0-9).\n- Minimal setup required.\n- Great for learning the basics of image recognition.\n\n## Getting Started\n\nFollow these simple steps to set up and run the Handwritten Digit Recognition system on your local machine.\n\n### Prerequisites\n\n- Python 3.6 or higher\n\n### Installation\n\n1. Clone this repository:\n\n   ```bash\n   git clone https://github.com/AbiXnash/Handwritten-Recognition.git\n   ```\n\n2. Navigate to the project directory:\n\n   ```bash\n   cd Handwritten-Recognition\n   ```\n\n### Usage\n\n1. Run the recognition system:\n\n   ```bash\n   python recognize.py --input input_image.jpg\n   ```\n\n   Replace `input_image.jpg` with the path to your input image containing a handwritten digit (0-9).\n\n2. The recognized digit will be displayed in the console output.\n\n## Contributing\n\nThis is a simple example project, but contributions are welcome. Feel free to enhance or extend this project and create a pull request with your improvements.\n\n## License\n\nThis project is open-source and available under the MIT License.\n\n## Acknowledgments\n\n- Special thanks to the machine learning community for sharing knowledge and resources.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabixnash%2Fhandwritten-recognition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabixnash%2Fhandwritten-recognition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabixnash%2Fhandwritten-recognition/lists"}