
Shubham worked on the kietmcaproject/2024-25_KCA353_Project repository, developing an interactive pathfinding visualizer web application. He designed the project architecture using Flask for backend development and integrated Python scripts to visualize graph algorithms such as BFS, DFS, and Depth-Limited Search. The frontend, built with HTML, CSS, and JavaScript, provided users with a graphical interface for real-time exploration of search algorithms. Shubham established the initial project scaffolding to support future scalability and maintainability. His work focused on delivering a core feature that enabled interactive graph visualization, laying a solid technical foundation for subsequent enhancements and iterative development.

December 2024 monthly summary for kietmcaproject/2024-25_KCA353_Project. Focused on delivering an interactive pathfinding visualization feature and establishing a solid project foundation.
December 2024 monthly summary for kietmcaproject/2024-25_KCA353_Project. Focused on delivering an interactive pathfinding visualization feature and establishing a solid project foundation.
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