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INTRO
The "Sudoku Game Board Development" project involved creating a dynamic and interactive digital version of the classic logic-based puzzle. By leveraging Python and Turtle Graphics, the project demonstrated my ability to implement data structures, solve algorithmic challenges, and deliver a user-centered design. This project offered three levels of difficulty and a seamless gameplay experience, blending technical precision with engaging functionality.
The project started with a vision to replicate the mental stimulation of Sudoku in a digital format. Using a grid structure of 81 cells, the game dynamically updates based on user input, ensuring a responsive and intuitive interaction. Preloaded puzzles and solutions were stored in 81-element lists, enabling efficient validation mechanisms. The goal was to provide a scalable, error-proof system that catered to beginners and advanced players alike.
KEY CHALLENGES
The game flow was implemented in Python, beginning with Gameplay.py as the main script. Users selected one of three difficulty levels (Beginner, Medium, Hard) and interacted with the board through terminal-based commands. Each difficulty level offered 3 unique puzzles, preloaded and stored in lists for efficient navigation. The game also included error handling to ensure valid inputs and guide players through their Sudoku experience.
KEY FEATURES
Interactive Grid Design: Built a 9×9 Sudoku board using Turtle Graphics with real-time visual updates for user inputs.
Solution Validation: Developed algorithms that verified individual cell inputs and evaluated the entire board’s correctness.
Puzzle Variety: Offered 9 puzzles (3 per difficulty level) with preloaded solutions for consistent user engagement.
Impact and Results
This project highlights my ability to merge programming, problem-solving, and data structure expertise to create an intuitive, engaging experience. The Sudoku Game Board demonstrated my skills in Python, interactive design, and algorithmic thinking. It showcased my capacity to handle real-world challenges, deliver scalable solutions, and collaborate effectively within a team. This hands-on experience solidifies my foundation in logic-based problem-solving and my readiness to tackle data science challenges.