This project provides a visual representation of the A* search algorithm at work within a Pygame window. Designed to demonstrate the algorithm's pathfinding capabilities, this Python application is a valuable learning tool for students and enthusiasts interested in AI and algorithms.
- Visualization of the A* algorithm's pathfinding process.
- Interactive grid to set start, end, and obstacle nodes.
- Real-time display of the algorithm's search pattern.
A video demo is available to show the visualizer in action:
- Python 3.7.7 (Other 3.x versions may work, but are not guaranteed)
- Tkinter (usually comes with Python)
- Pygame
- Ensure you have the correct version of Python installed
- Install Pygame using pip:
pip install pygame - Clone the repository
- Navigate to the project directory
- Run the script:
python venv/project.py
This project is not actively maintained. It represents a significant period in my coding journey, showcasing my understanding and application of the A* search algorithm in a visual format. While updates might be sporadic, I am proud of what this project represents and hope it can serve as a resource or source of inspiration for others.
While this project is not actively maintained, your insights and contributions are still welcome. If you have suggestions, improvements, or want to use this project as a starting point for something new, feel free to fork the repository and explore your ideas. Please understand that responses to pull requests or issues might be delayed, but I appreciate your interest and initiative.
This project is licensed under the MIT License - a copy of which is available in the repository.