This project is a web-based application that uses a deep learning model to predict handwritten digits. The model is trained on the MNIST dataset and can predict digits from 0 to 9. The application was built using Flask for the backend, HTML and JavaScript for the frontend, and is containerized using Docker for easy deployment and scalability.