MadhumithaKolkar / Soduko_Solver_ML

Real-Time Sudoku Solver using ML and OpenCV

This project is a real-time Sudoku solver that uses machine learning (CNN) and OpenCV for digit recognition and puzzle solving.

Table of Contents

• About
• Features
• Installation
• Usage
• Contributing
• License

About

The Real-Time Sudoku Solver is an application that can capture a Sudoku puzzle from a live video feed or an image, recognize the digits using a convolutional neural network (CNN), and solve the puzzle in real-time. It leverages the power of machine learning and computer vision to automate the process of solving Sudoku puzzles.

Features

• Captures Sudoku puzzles from live video or images
• Recognizes digits using a CNN trained on handwritten digits dataset
• Solves Sudoku puzzles in real-time
• Provides visual feedback on the solution process

Installation

1. Clone the repository:

git clone https://github.com/your_username/real-time-sudoku-solver.git

2. Run the main script: python main.py

3. Point the camera towards a Sudoku puzzle or provide an image file containing a Sudoku puzzle.

Contributing

Contributions are welcome! If you want to contribute to this project, please follow these steps:

• Fork the repository.
• Create a new branch (git checkout -b feature/fooBar).
• Make your changes.
• Commit your changes (git commit -am 'Add some fooBar').
• Push to the branch (git push origin feature/fooBar).
• Create a new Pull Request.

License This project is licensed under the MIT License - see the LICENSE file for details.