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Handwritten Digit Recognition using the MNIST dataset.

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digit-classifier.

Handwritten Digit Recognition using the MNIST dataset.

Dataset from: https://www.kaggle.com/oddrationale/mnist-in-csv

prerequisites.

  • python v3.7.7
  • scikit-learn v0.22.1
  • numpy v1.18.1
  • pandas v1.0.3
  • pillow v7.0.0
  • django v3.0.3

setup and deployment.

  1. Setup an environment with the above mentioned libraries.
  2. Clone the repository.
  3. To launch the server, navigate to django-server/
  4. In terminal, run python manage.py runserver to start the server.
  5. Open your browser and go to localhost:8000/digits/ or 127.0.0.1:8000/digits/
  6. Draw desired digit and click PREDICT to get an answer.
  7. The output of the program will be printed on the bottom of the drawing window.

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Handwritten Digit Recognition using the MNIST dataset.

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