8000 GitHub - briny-fish/ocr_on_android: An android app to recognise a hand Written Digit using a Flask , Tensorflow Backend , Model Designed using The coolest and simplest Keras
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An android app to recognise a hand Written Digit using a Flask , Tensorflow Backend , Model Designed using The coolest and simplest Keras

License

GPL-3.0 license
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briny-fish/ocr_on_android

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Anderoid App for Hand Written Digit Recognition using Convolutional Neural Network

Author: Rishab Sharma , Harshit Singhal

Overview

This is the code for a model that recognizes handwritten digit images (MNIST). Developed using TensorFlow and the super simple Keras Library. Wrapped into a Webapp using Flask Micro Framework.

Dependencies

sudo pip install -r requirements.txt

Demo Video (Click the images)

Input

Output

Usage

Once dependencies are installed, just run this to see it in your browser.

python app.py

That's it! It's serving a saved Keras model to you via Flask.

About

An android app to recognise a hand Written Digit using a Flask , Tensorflow Backend , Model Designed using The coolest and simplest Keras

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Readme

License

GPL-3.0 license

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  • Java 68.3%
  • Python 31.4%
  • Shell 0.3%
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