This Terminal-Based Maze Solver is a command-line tool designed to find the solution to a maze inputted through text files. It offers a simple yet effective way to visualize and solve mazes without the need for a graphical interface.
- Command-Line Interface: Easy-to-use interface accessible from the terminal.
- Support for Custom Mazes: Ability to load custom maze files in text format.
- Multiple Algorithms: Supports various maze-solving algorithms for finding the solution.
- Visual Representation: Renders the maze and solution path in the terminal for visualization.
To use the Terminal-Based Maze Solver, follow these steps:
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Clone the Repository: Clone this repository to your local machine.
git clone https://github.com/PrathameshZ900/MazeSolver.git -
Navigate to the Directory: Move to the directory where the repository was cloned.
cd MazeSolver -
Install Dependencies (if any): If there are any dependencies required, make sure to install them. This might vary based on the specific implementation.
-
Run the Solver: Execute the solver script and provide the maze file as input.
python MazeSolver.py -
Follow Instructions: Follow the instructions provided by the solver in the terminal to choose the algorithm and visualize the solution.
The following algorithms are currently supported by the Maze Solver:
- Backtracking
- Breadth-First Search (BFS)
I have created a project based on Python and the Python libraries
🌐 Maze Solver Project 🧩
Overview: Embark on a maze-solving adventure with our Python-based Maze Solver project! This implementation features a versatile algorithm capable of navigating diverse mazes efficiently, ensuring optimal paths from entrance to exit.
Key Features 🚀:
Maze Representation: Seamlessly load mazes from various file formats, such as text files or images. Algorithm Options: Choose from popular algorithms like DFS, BFS, A* Search, or extend with your configurations. Visualization Magic 🎨: Opt for a graphical or text-based interface to explore the maze-solving process, enhancing user comprehension visually. Configurability Galore ⚙️: Customize maze size, start/end points, and algorithm parameters for a tailored solving experience. Optimizations for Speed 🚄: Implement efficiency-boosting optimizations, including heuristics and parallel processing. Comprehensive Documentation 📚: Dive into a well-documented README providing usage instructions, algorithm insights, and dependencies. Getting Started 🏁:
Clone the repo to your local machine. Install dependencies as detailed in our documentation. Explore provided examples and documentation to master Maze Solver customization. Run the solver on various mazes, and marvel at the results! Contributing 🤝: Contributions are the heart of this project! Share ideas, bug fixes, or new features by opening issues or submitting pull requests. Follow our contribution guidelines for seamless collaboration.
License 📜: This Maze Solver project is generously licensed under the MIT License, inviting you to collaborate and integrate it into your projects freely. 🎉
input: Maze:
⭕ = Empty space where the rat can move
▓ = Blocked wall, where the rat can't move
🟢 = Path to travel for the rat
Maze:
Path for Rat:
I am currently immersed in developing a Maze Solver project using Python. Leveraging the terminal and the random library, alongside other essential Python libraries, I am crafting a maze-solving algorithm. The project aims to create an efficient and adaptable solution for navigating mazes, providing a seamless experience through the terminal interface. Stay tuned for an exciting blend of code, algorithms, and maze-solving magic.