This Flask project enables the recognition of handwritten digits. It follows the MVC (Model-View-Controller) principle, comprising two main components:
Built a deep learning model trained on MNIST for handwritten digit recognition, achieving an accuracy rate of 94.5%.
Utilizes HTML, CSS, and JavaScript to create a user-friendly interface.
The connection between the view and model is established through a Python web service built on the Flask framework.
- Clone the repository.
- Install the necessary dependencies in
requirements.txt
. - Run
app.py
. - Access the application through a web browser [http://127.0.0.1:5000].