Project Title: Maze Solver Game

Overview:
The Maze Solver Game is a logic-based puzzle game where the player (or an AI) must find the path from the start point to the end point within a maze. It can be either interactive (where the player navigates the maze) or automated (where an algorithm solves the maze).

Core Gameplay Features:

• A maze made up of walls and open paths, typically shown as a grid.
• A starting point and a goal or exit point.
• Movement is allowed in four or eight directions depending on design.
• The game can be manual (controlled by the player) or automatic (solved by AI/algorithm).
• In AI mode, it visually demonstrates the solving process.

Technologies Commonly Used:

• Python (with Tkinter, Pygame, or console)
• JavaScript (with HTML5 Canvas for web version)
• Java or C# for desktop GUI versions
• Algorithms like BFS (Breadth-First Search), DFS (Depth-First Search), A* (A-star)

How It Works:

1. A maze is generated or loaded from a predefined layout.
2. The player or algorithm navigates from the start point to the goal.
3. AI-based solvers use pathfinding algorithms to explore and find the shortest or optimal path.
4. The path is highlighted as it’s discovered.
5. The game ends when the exit is reached.

Learning Objectives:

• Working with 2D arrays and grid logic
• Implementing pathfinding algorithms (BFS, DFS, A*)
• Visualizing algorithm steps in real-time
• Understanding recursion, queue/stack usage, and heuristic logic
• Creating interactive or automated game environments