Data structure projects Linked List-Based Management System
Developed a dynamic data management system using singly and doubly linked lists. The project supports operations such as insertion, deletion, searching, and traversal while handling data without fixed size limitations. Special attention was given to efficient memory usage and pointer manipulation. The system demonstrates how linked lists can outperform arrays in scenarios requiring frequent updates.
Stack & Queue Applications
Implemented multiple applications using stack and queue data structures. The stack was used for solving problems such as expression evaluation (postfix/prefix) and checking balanced parentheses. The queue was applied in simulating real-world systems like task scheduling and service queues. This project highlights the practical importance of LIFO and FIFO structures in algorithm design.
Binary Search Tree (BST) System
Designed and implemented a Binary Search Tree (BST) to efficiently manage sorted data. The system includes operations such as insertion, deletion, searching, and tree traversals (inorder, preorder, postorder). Recursive techniques were used to simplify implementation and improve performance. The project demonstrates how trees provide faster search operations compared to linear structures.
Graph Algorithms Implementation
Built a graph-based system to represent and analyze relationships between nodes. Implemented core algorithms such as Breadth-First Search (BFS) and Depth-First Search (DFS) to traverse the graph and solve problems like connectivity and path finding. The project emphasizes real-world applications such as navigation systems and network analysis.