Developing a Sudoku app, which allows users to enter numbers by drawing on screen. Drawed canvas will be classified as digits (1 to 9) by a Machine Learning algorithm(?).

Application runs on a Flask Server (python) and UI is developed with HTML, CSS and JavaScript. Sudoku logic is built in the JS layer.

Each sudoku cell can be entered by drawing a digit, then will be recognized by a model which was trained by MNIST dataset.

Option 1: Exporting model in a file (.h5 or similar) and will be consumed in Flask app directly.

Option 2: Prediction will be deployed as a service and will be consumed via an API by the application.

//Model training details

Drawed images are currently stored under digits/ directory with a timestamp name in png format. In future, each prediction will be stored into a database with prediction result, and if possible with a feedback from the user.

Diagram is drawed in Draw.io

1. Create a new virtual environment

conda create --name sudoku
conda activate sudoku 

2. Install packages in requirements.txt into the new environment

conda install -c conda-forge requirements.txt

2. Download the project folder with:

git clone https://github.com/ds-pergola/handwritten-sudoku.git

3. Run application

python app.py

4. Visit the URL:

http://localhost:8080/