ram6ces / mnist

Recognition of hand written number

Number Recognition with NMIST Model

This project is a web application that allows users to draw numbers and test the NMIST model for number recognition. The NMIST model is a machine learning model that has been trained on a dataset of handwritten digits and can recognize digits with high accuracy.

You can access the web application at https://ram6ces.github.io/mnist/.

Getting Started

To get started with this project, you will need to have the following installed on your machine:

pip install torch

pip install torchvision

Once you have these dependencies installed, you can run the web application by running the following command in your terminal:

python3 scrypt.py

Usage

To use the web application, simply draw a number in the canvas provided and click the "Recognize" button. The NMIST model will then attempt to recognize the number you have drawn and display the result on the screen.