Handwritten Digit Recognition

Recognizing handwritten digits within documents and translating them into text, using NLP with Tensorflow

Project Information

  • Category: Data Science
  • Project Date: 8 June, 2023

This project explores the use of Convolutional Neural Networks (CNNs) and TensorFlow to build an effective handwritten digit recognition system. By training on the MNIST dataset images, each sized 28x28 pixels—the model learns to accurately classify and convert handwritten digits into digital text. The core objective is to automate and streamline data entry processes across various domains where numeric input is prevalent.