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It uses this Deep Learning model\nto identify the handwritten digit in the image uploaded to it. It is hosted using Flask, a Python Web Development Framework.\n\nIt has a **training accuracy of 99.24%** and a **test accuracy of 99.21%**\n\nThe complete model is available in 'digit recognition.py'.\n\n## Dataset\nThe dataset used is the popular MNIST Handwritten Digit Dataset, available on this [link](http://yann.lecun.com/exdb/mnist/). It is also available as a pre-installed dataset\nin Keras and can be used as shown in 'digit recognition.py'.\n\n## How to Use\n\n1. Clone this repository onto your system. On Command Prompt, run the following command:\n\n```\ngit clone https://github.com/Karan-Malik/DigitRecognition.git\n```\n2. Change your directory to MovieHype:\n```\ncd DigitRecognition\n```\n\n3. Then run the follwing commands to run the application:\n```\nset FLASK_APP=digit.py\nflask run\n```\n\n4. Enter the url provided after running the previous commands into your web browser\n\n\n### The website is now ready to use!\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkaran-malik%2Fdigitrecognition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkaran-malik%2Fdigitrecognition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkaran-malik%2Fdigitrecognition/lists"}