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Search Algorithms Visualizer — Pathfinding & Graph Algorithms

Interactive visualization of pathfinding and search algorithms

Project Overview

A comprehensive visualization tool for pathfinding and search algorithms built with Python and Pygame. This interactive application demonstrates how different search algorithms navigate through grids and graphs, making complex algorithmic concepts accessible through visual representation. Ideal for computer science education and algorithm analysis.

Technologies Used

Python Python
Pygame Pygame
Matplotlib Matplotlib
Git Git/GitHub

Key Features

  • Multiple search algorithms: A*, Dijkstra's, BFS, DFS, and Greedy Best-First
  • Interactive grid system with customizable start and end points
  • Dynamic obstacle placement and maze generation
  • Real-time visualization with step-by-step algorithm execution
  • Performance comparison and statistics tracking
  • Color-coded path visualization showing explored vs optimal paths
  • Adjustable animation speed and grid size options
  • Educational mode with algorithm explanations

Challenges & Solutions

Algorithm Efficiency

Optimized algorithm implementations to handle large grids while maintaining smooth visualization performance and real-time interaction.

Visual Clarity

Developed an intuitive color scheme and animation system to clearly distinguish between different algorithm states and path types.

Interactive Design

Created responsive controls allowing users to modify parameters in real-time without interrupting the visualization flow.

GitHub View on GitHub Demo Interactive Demo