DSA in Java covers a wide range of algorithms, including sorting algorithms, searching algorithms, graph algorithms, and dynamic programming algorithms. The implementation and optimization of these algorithms require a solid understanding of data structures, such as arrays, linked lists, trees, and graphs, and their associated operations.

This project demonstrates Graph Operations in DSA including adding/removing vertices and edges, BFS, DFS, and visualizations using Python. It helps students understand complex graph concepts with step-by-step animations, making learning interactive and easy.

Code for Basic Operations & LEETCODE Problems for DSA (LinkedList, Trees, Graphs etc.)

🧠 Simulates various DSA operations including arrays, linked lists, searching, sorting, and (soon) tree and graph algorithms — with interactive step-by-step visualizations.

Repository housing essential algorithms for Data Structures and Algorithms (DSA), including sorting, graph algorithms, binary search tree operations, and minimum spanning tree implementations.

This project implements a carpooling system in C++ as a part of a Data Structures and Algorithms (DSA) project. The application facilitates efficient ride-sharing by allowing users to perform the following operations: User Management, Ride Management, Graph based Distance Calculation, Data Structures, File Management, Validation.

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DSA (Arrays, LinkedList, Stack, Queues and Trees and Graphs) Operations

EduVerse: A C# WinForms platform revolutionizing course registration. Uses Queues for fair waitlists, Graphs for prerequisites, and Stacks for undo operations. Role-based dashboards enhance planning and efficiency. A DSA-driven academic solution.

A beginner-friendly repository covering fundamental data structures like arrays, linked lists, stacks, queues, trees, and graphs. Each structure includes clear implementations, essential operations, and practical examples to strengthen DSA concepts. Perfect for students and developers!

An interactive DSA Visualizer built using HTML, CSS, and JavaScript that visually demonstrates core data structures including arrays, stacks, queues, linked lists, trees, and graphs. The project uses step-by-step animations to explain operations and improve conceptual understanding.

Collection of Data Structures implementations in C++ including Linked Lists, Stacks, Binary Trees, Segment Trees, and Graph Traversals (BFS & DFS). Each program demonstrates core operations such as creation, insertion, deletion, traversal, and depth calculation to practice fundamental DSA concepts.

Interactive DSA Algorithm Visualizer - An educational web application that brings data structures and algorithms to life through dynamic visualizations. Features sorting algorithms, graph algorithms, tree operations, and classic algorithmic problems with step-by-step animations and code explanations. Built with vanilla JavaScript, HTML5, and CSS3.

The DSA Algorithm Visualizer is an interactive web app that demonstrates Selection Sort, Max Heap, and Graph BFS. Users can watch step-by-step animations with labeled bars and nodes, understand algorithm operations clearly, and learn data structures and algorithms in a visual, engaging way.

Designed an interactive web-based tool to visualize core data structures including Stack, Queue, Binary Search Tree, and Graph. Implemented real-time animations for push/pop, enqueue/dequeue, BST insertions, and BFS traversal. Helps users understand internal operations of DSA through intuitive UI and dynamic rendering.

Designed an interactive web-based tool to visualize core data structures including Stack, Queue, Binary Search Tree, and Graph. Implemented real-time animations for push/pop, enqueue/dequeue, BST insertions, and BFS traversal. Helps users understand internal operations of DSA through intuitive UI and dynamic rendering.

This project implements a carpooling system in C++ as a part of a Data Structures and Algorithms (DSA) project. The application facilitates efficient ride-sharing by allowing users to perform the following operations: User Management, Ride Management, Graph based Distance Calculation, Data Structures, File Management, Validation.