#Dynamic Maze Solver
#Project Overview
#The Dynamic Maze Solver is an interactive web application designed to visually demonstrate and explore maze-solving algorithms. This project leverages the power of React, using advanced React Hooks to manage state and animations dynamically. Users can generate mazes and visually track the execution of Breadth-First Search (BFS) and Depth-First Search (DFS) algorithms as they navigate through the maze.
Features Dynamic Maze Generation: Allows users to create new mazes on demand. Algorithm Visualization: Offers a real-time visualization of BFS and DFS algorithms. Interactive User Interface: Users can interact with the maze, choose the algorithm, and start or reset the maze solving process. Sound Effects: Provides auditory feedback during the pathfinding process, enhancing the interactive experience. Responsive Design: Ensures the application is accessible on various devices and screen sizes.
Technologies Used React.js: Utilizes React Hooks for state management and component lifecycle management. Vite: Employs Vite as the build tool for faster development and build optimization. CSS3: Advanced CSS for animations and styling to create a visually appealing interface.
Getting Started Prerequisites Node.js npm or yarn Installation Clone the repository
Navigate to the project directory
git clone https://github.com/yourusername/dynamic-maze-solver.git
cd dynamic-maze-solver Install dependencies
npm install or if you use yarn: yarn install
Running the Application Start the development server
npm run dev or
yarn dev Open your browser and visit http://localhost:3000 or the local host your browser specifies for you
Contributing Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
Fork the Project Create your Feature Branch (git checkout -b feature/AmazingFeature) Commit your Changes (git commit -m 'Add some AmazingFeature') Push to the Branch (git push origin feature/AmazingFeature) Open a Pull Request
Contact Jeffrey - Jeffreyadu3@gmail.com
Acknowledgments ZTM @ Tuomas Kivioja