Sudoku Solver with AI

The goal of this project is to analyze how different algorithms perform in solving Sudoku puzzles and to determine which approach is most suitable. The motivation behind the project stems from my personal weakness in working with AI algorithms. By engaging with this topic hands-on, I aim to improve my understanding of how various algorithms work and how they compare. The project is implemented using Python for the backend and PyQt6 for the frontend. To evaluate the algorithms, I measure the time each one takes to solve a Sudoku puzzle. The collected data will serve as the basis for comparing the performance and suitability of the algorithms. By the end of the project, I aim to identify which algorithm is best suited for solving Sudoku puzzles and why. This project combines practical application with theoretical analysis and supports my goal of gaining deeper insight into AI algorithms.

Publication Details

Journal
Scholarly Commons (University of the Pacific)
Published
2025-04-30
Primary Topic
graph theory and CDMA systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Sudoku Solver with AI

Scholarly Commons (University of the Pacific)
graph theory and CDMA systems
article

Sudoku Solver with AI

article en

Abstract

The goal of this project is to analyze how different algorithms perform in solving Sudoku puzzles and to determine which approach is most suitable. The motivation behind the project stems from my personal weakness in working with AI algorithms. By engaging with this topic hands-on, I aim to improve my understanding of how various algorithms work and how they compare. The project is implemented using Python for the backend and PyQt6 for the frontend. To evaluate the algorithms, I measure the time each one takes to solve a Sudoku puzzle. The collected data will serve as the basis for comparing the performance and suitability of the algorithms. By the end of the project, I aim to identify which algorithm is best suited for solving Sudoku puzzles and why. This project combines practical application with theoretical analysis and supports my goal of gaining deeper insight into AI algorithms.

Scholarly Commons (University of the Pacific)
Openalex Percentile: Top 53%
graph theory and CDMA systems
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Sudoku Solver with AI · Scholarly Commons (University of the Pacific) (2025) | TGRS Research Map | TGRS