Abstract: Path finding algorithms are essential across various domains, demanding a deep understanding from students, researchers, and practitioners. Algo Graph, a novel web application built with React and JavaScript, aims to bridge the gap between theory and practice in these algorithms. This paper explores the development, features, and implications of Algo Graph, focusing on Dijkstra’s, Depth-First Search (DFS), and Breadth-First Search (BFS) algorithms. Algo Graph’s inception addresses the need for practical understanding of path finding algorithms. Leveraging modern web technologies, Algo Graph provides a dynamic environment for users to visualize algorithm execution step-by-step. The application’s architecture facilitates real-time visualization, offering adjustable speed and features like weighted grids. User testing and feedback reflect Algo Graph’s effectiveness in enhancing understanding, despite some developmental challenges. In the discussion, the paper interprets findings within the algorithm visualization and educational technology context, standing out as a significant advancement in algorithm visualization, offering a user-centric approach to understanding complex algorithms. By providing a visually engaging platform, Algo Graph empowers users to explore Dijkstra’s, DFS, and BFS algorithms comprehensively. This paper underscores the importance of interactive visualization tools and lays groundwork for future algorithm education and research advancements.