MNIST Digit Recognition Deep Learning Real-time Prediction Open Source

This project is a web application that recognizes handwritten digits using a deep learning model. It's built with Python, TensorFlow, and Flask, and it provides real-time digit recognition. The application includes an interactive web interface where users can draw digits and get instant predictions. The deep learning model is trained on the MNIST dataset, achieving over 99% accuracy. The project showcases the implementation of a Convolutional Neural Network (CNN) for image classification and provides a user-friendly web interface for real-time digit recognition.