Maze Solver with BFS & DFS

Maze Solver using BFS & DFS Algorithms

Developed a maze-solving application that finds a valid path from a start point to a goal using both Breadth-First Search (BFS) and Depth-First Search (DFS) algorithms. Implemented the solution using Python, representing the maze as a grid structure and visualizing traversal paths step-by-step.

The project demonstrates a clear comparison between BFS and DFS in terms of performance, path optimality, and memory usage. BFS guarantees the shortest path, while DFS explores deeper paths with lower memory overhead in some cases. Enhanced the project with path tracking, visited node management, and optional visualization to better illustrate how each algorithm navigates the maze.

Focused on writing clean, modular code and improving problem-solving and algorithmic thinking skills. This project highlights a strong understanding of graph traversal techniques and their real-world applications in areas such as robotics, game development, and navigation systems.