Advanced Object-Oriented Snake Game

Project Overview

  • Title: Avanced Object-Oriented Snake Game
  • Duration: November 2023 - January 2024
  • Role: Project Engineer
  • Technologies Stack: C++, Visual Studio Code, Git

Summary:
This project involves developing a sophisticated version of the classic Snake game using C++ and an object-oriented programming approach. The goal is to enhance the traditional game by integrating advanced data structures, improving gameplay, and increasing system performance.

Objectives:

  1. To reimplement a classic game with modern programming techniques and data structures.
  2. To provide a dynamic gameplay experience with scalable difficulty.
  3. To develop a clean, maintainable, and extensible codebase.

Features

  • Modular Architecture: Utilizing object-oriented principles for easy maintenance and scalability.
  • Advanced Data Structures Integration: Employing stacks, queues, binary search trees, and linked lists for efficient gameplay management.
  • Dynamic Difficulty Adjustment: Allowing the game to adjust complexity based on player performance.

Complexity Analysis

  • Algorithmic Complexity: Conducted thorough analysis of the time complexities of each algorithm used to ensure optimal performance during gameplay. This involved evaluating how the game's response time scales with increasing data inputs.
  • Space Complexity: Analyzed the memory usage of the game, particularly how the integration of different data structures impacts the overall memory footprint. This was crucial for maintaining efficiency, especially in environments with limited resources.

Project Achievements

  • Developed a robust framework capable of extending with more complex features like multiplayer and additional gameplay modes.
  • Enhanced personal proficiency in applying theoretical knowledge of data structures in practical, real-world software development.

Gallery/Visuals

System Diagram

Documentation

  • Design Documents: Detailed breakdown of system architecture and component design.
  • Development Logs: Regular updates on project progress, challenges faced, and solutions implemented.
  • User Feedback: Compilation of player reviews and suggestions for future improvements.

Future Directions

  • Learning Outcomes: Insights gained from the project about both game development and advanced programming techniques.
  • Introduction of AI-driven opponents to simulate more challenging gameplay.
  • Expansion to support online multiplayer functionalities.
  • Continuous refinement of the gameplay experience based on player feedback.

Source Code

View on GitHub