This project demonstrates a basic Handwritten Digit Recognition system using machine learning. It takes an input image of a handwritten digit and predicts the digit using a pre-trained model.

• Recognizes handwritten digits (0-9).
• Minimal setup required.
• Great for learning the basics of image recognition.

Follow these simple steps to set up and run the Handwritten Digit Recognition system on your local machine.

• Python 3.6 or higher

1. Clone this repository:

   git clone https://github.com/AbiXnash/Handwritten-Recognition.git

2. Navigate to the project directory:

   cd Handwritten-Recognition

1. Run the recognition system:

   python recognize.py --input input_image.jpg

   Replace input_image.jpg with the path to your input image containing a handwritten digit (0-9).

2. The recognized digit will be displayed in the console output.

This 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.

This project is open-source and available under the MIT License.

• Special thanks to the machine learning community for sharing knowledge and resources.