Build a Handwritten Digit Recognition System with Python & Keras | Complete Tutorial for Beginners!

In this deep learning tutorial, we’ll build a complete Handwritten Digit Recognition system from scratch using Python and Keras! This beginner-friendly project is the perfect way to learn AI, machine learning, and convolutional neural networks (CNNs). We’ll train a model on the MNIST dataset to recognize handwritten digits with high accuracy. But that’s not all – we’ll also create an interactive GUI application using Tkinter where you can draw a number and watch the AI predict it in real-time. 🔹 What you’ll learn in this video: Basics of Deep Learning and CNNs How to use Keras with the MNIST dataset Training and evaluating a digit recognition model Building a Tkinter GUI for real-time predictions Hands-on Python project for beginners in AI Whether you’re a beginner exploring artificial intelligence or looking for a cool Python project, this tutorial is for you. 👉 Don’t forget to like, share, and subscribe for more AI & IoT tutorials! Download Code : https://gist.github.com/cyrusmeh/8f9a84824b002ae80eff9cd204e49128