Project Overview
PathFinders is a sophisticated Python-based maze solver and visualizer that demonstrates the beauty and efficiency of different pathfinding algorithms. What started as a class project evolved into a comprehensive tool for understanding how different algorithms approach the challenge of finding optimal paths.
The system generates random mazes with guaranteed solvability, featuring adjustable complexity and size. Through an intuitive GUI, users can watch in real-time as different algorithms navigate through the maze, providing a unique educational experience in algorithm visualization.
Technical Implementation
Implemented Algorithms
Breadth-First Search (BFS) - Optimal for unweighted paths
Depth-First Search (DFS) - Memory-efficient maze exploration
A* Search - Optimal pathfinding with heuristics
Bidirectional Search - Simultaneous path exploration
Simulated Annealing - Probabilistic path optimization
Dijkstra's Algorithm - Optimal weighted pathfinding
Technologies Used
Python
PyGame
Algorithm Design
Path Finding
GUI Development