Solving an Image with Sudoku 9×9 grid using image-processing techniques and backtracking algorithm
This project aims to assist users during the sudoku’s solving process, which could help users know if they are solving the puzzle correctly. The user needs to input an image of a 9×9 Sudoku grid which the model will use to solve the puzzle. The model is developed in Python using image processing, optical character recognition, and backtracking algorithm. These techniques are used in cutting edge technologies like the autonomous vehicle for parking assistant, detecting lanes enabling security, enabling virtual advertisement in sports, etc.
Akash is a graduate student at The University of Texas at Dallas, and currently, he is pursuing a Master’s in Computer Science with a specialization in Intelligent Systems. His areas of interest can be broadly classified as Computer Vision, Robotics & Software Development.
Please feel free to connect with Akash over LinkedIn.