Hindi Letter Writing and detection using Deep Learning + Web Project

In this tutorial, we are gonna build a full flesh flask web app whose front-end user writes a letter on drawing canvas and the neural net is used to detect that letter on the backend.

In this tutorial, we are gonna build a full flesh flask web app whose front-end user writes a letter on drawing canvas and the neural net is used to detect that letter on the backend and show user predictions by the Keras convolutional neural net model.

For the sake of convenience and clarity, This article is divided into two parts as follows :

A. In the first part, we are gonna understand how to build a neural net on Kaggle (Since our data is Huge we are using an online notebook).

B. In the second part, We are building a clean and simple web app using flask so that the user can draw the character on board and our model predicts it

Final Output will look like

A. Building Convolutional Neural Net Model, Train it and Export the Model

Final Convolutional Model Structure ( Layer & IP/OP wise )

The dataset is available on Kaggle here. You can either download the dataset or you can just go to Kaggle and create a new notebook there. As the second option is easy and convenient it’s suitable for most of us.

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