Pathfinding visualizer

Visualizations of algorithms contribute to improving computer science education. The process of teaching and learning of algorithms is sometimes, complex and hard to understand problem. Visualization is a useful technique for learning and analyzing any algorithm easily. Pathfinding refers to computing an optimal route between the specified start and goal nodes. It is an important research topic in the area of Artificial Intelligence with applications in fields such as GPS, Real-Time Strategy Games, Robotics, logistics while implemented in static or dynamic or real-world scenarios. Recent developments in pathfinding lead to more improved, accurate and faster methods and still captivates the researcher's attention for further improvement and developing new methods as more complex problems arise or being developed in AI. A great deal of research work is done in pathfinding for generating new algorithms that are fast and provide optimal path since the publication of the Dijkstra algorithm in 1959.