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README.md
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‎AI-based AI Maze Solver/README.md‎

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Package/Script Name: AI-based AI Maze Solver
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Short Description: AI-based AI Maze Solver is a Python script that implements an AI algorithm to solve a maze automatically. The AI uses the A* (A-Star) search algorithm with a heuristic function to efficiently navigate through the maze and find the shortest path to the goal.
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Functionalities/Script:
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MazeSolver class: Represents the AI-based maze solver.
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A* algorithm: Implements the A* search algorithm with a heuristic function to find the shortest path.
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Heuristic function: Calculates the estimated cost (heuristic) from a cell to the goal to guide the A* search.
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Setup Instructions:
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Make sure you have Python installed on your system (Python 3.6 or higher).
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Download the AI_maze_solver.py file from the repository or package.
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Explanation of Script:
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The AI-based AI Maze Solver script enables you to solve mazes automatically using the A* search algorithm. The A* algorithm combines the cost to reach a cell (path cost) with an estimated cost to the goal (heuristic) to efficiently explore the maze and find the shortest path.
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Usage:
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Create a maze representation as a 2D array, where 0 represents empty cells, 1 represents obstacles/walls, and 2 represents the starting position. For example:
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python
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maze = [
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[1, 1, 0, 0, 0],
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[0, 1, 1, 0, 1],
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[0, 0, 0, 0, 1],
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[1, 1, 0, 1, 0],
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[2, 0, 0, 1, 1],
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]
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Initialize the MazeSolver class with the maze.
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python
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from AI_maze_solver import MazeSolver
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maze_solver = MazeSolver(maze)
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Use the find_path() method to get the shortest path from the starting position to the goal.
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python
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path = maze_solver.find_path()
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print("Shortest Path:", path)
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Output:
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The AI-based AI Maze Solver script will output the shortest path from the starting position to the goal in the maze.
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Author:
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Shikhar9425

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