Digit Recognizer is a web-based application which can recognise handwritten digits and classify them. This application is created for the purpose of learning to build a Machine Learning model and deploying it as an app. So, Handwritten Digit Recognition model is based of a Deep Learning architecture and built on TensorFlow framework can recognise digits and classify them into classes. The web application is built primarily on Node.js framework.

Web-app link: https://digit-recognizer-web.herokuapp.com

• Node.js
• Express.js
• Bootstrap
• body-parser
• jQuery
• Ajax
• npm
• Tensorflow.js
• Tensorflow
• Keras

• npm
• git
• python
• node.js

• To learn more and to train yourself the Deep Learning model you can refer the interactive python notebook here.
• To run the application locally on your machine, follow these instructions.
  1. Clone the repository into your machine.
  2. Navigate to the project directory in your terminal or command prompt
  3. Execute npm install command.
  4. Execute npm run command. Now the app will be opened on your browser running in a localhost.

The application is hosted in Heroku- a free cloud platform. The DL model has been developed and trained in Google Colab- free jupyter notebook environment for developing and training ML models in cloud.

This project has been licensed under MIT License. You can check the License file to view the license