Sudoku Solver Using AI

This project utilizes OpenCV and Keras followed by a backtracking algorithm to solve various Sudoku puzzles.

Installation and Setup

To run this project locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/Ayushma99/Suduko_Solver_Using_AI.git
   

2. Navigate to the project directory:

   cd Suduko_Solver_Using_AI
   

3. Install the required dependencies. You can use pip to install them from the requirements.txt file:

   pip install -r requirements.txt
   

4. Run Jupyter Notebook to explore the project:

   notebooks\final.ipynb
   

How It Works

To understand how the Sudoku solver works, check out the following files in notebooks folder:

• main.ipynb: This notebook demonstrates the implementation of the solver and how it works.
• modelmaking.ipynb: Here, you can find the process of training the model used for Sudoku solving.

Dataset Creation

I have created custom datasets from the given suduko images to train the numbers. This datasets are saved in images folder Explore the dataset creation process in the notebooks/main.ipynb file.

Results

For the results of the Sudoku solver in action, refer to the image below:

Feel free to explore the code and experiment with solving Sudoku puzzles using AI!