A simple AI model that can recognize handwritten digits. Training a model to identify digits (0-9) written by users and then predicting which digit is written.

The C++ neural network for handwritten digit recognition with online demo

JavaScript handwritten digits recognition. Try it -->

Handwritten digit classifier using Convolutional Neural Networks with test accuracy 0.995

Handwritten Alphabet & Digit Recognition Web Application

Neural Network is trained on infamous MNIST dataset which recognizes handwritten digits using Deep Learning. Implemented using Pytorch

Simple Flask App to recognize Handwritten Digits

This project aims to show the ideas of how to classify mnist datasets by using SVM, RF, XGBoost.

Handwritten Digit Recognition

A simple demo in which a Neural Network is trained to recognize hand-written digits

Classify images using Convolutional Neural Networks

A Django-based Handwritten Digit Recognition System using a neural network trained on the MNIST dataset. Users can input digits to test real-time classification. Includes custom-built neural network implementation and efficient data preprocessing for accurate predictions.

Handwriting recognition AI

This is a classification problem (Machine Learning). The two digits we have chosen for the classification are 0 and 8.

A random forest classifier to recognize handwritten digits