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V-Learn is an interactive platform that helps students understand data structures and algorithms through step-by-step visual animations. Unlike static tools, it enables dynamic learning by visually demonstrating each operation, making complex concepts easier to grasp.

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V - Learn : Learning DSA Through Visuals

V-Learn - Visualizing Data Structures and Algorithms through Animations

This project addresses the inherent challenges students face in comprehending data structures and algorithms, pivotal concepts in computer science and information technology. Recognizing the difficulties students encounter in learning and grasping these fundamental principles, our focus is on developing an innovative tool that leverages user-interactive animations. Unlike existing online tools that offer prebuilt animations, our approach aims to enhance understanding by providing step-by-step visualizations of data structure and algorithm operations.

The Concepts of Data Structure covered in project

Data Structures

  1. Stack
  2. Queue
  3. Singly LinkedList
  4. Doubly LinkedList

Sorting Algorithms

  1. Merge Sort
  2. Quick Sort

Expression Conversion Algorithms

  1. infix to prefix
  2. infix to postfix
  3. postfix to infix
  4. prefix to postfix

Encryption Algorithms

  1. Ceasar Cipher
  2. DES Encryption
  3. DES Decryption

Code AI - The chat bot

  • AI chat bot for solving all type of DSA queries.

Aim of Project

This project promotes E-learning.

  1. To make it the easy job of teachers to teach data structure concepts.
  2. To increase the understanding level of students in data structure concepts.
  3. To increase the interest of students in data structure learning.

Skills: JavaScript · Animation Design · Front-End Development · HTML5 · Data Structures · Cascading Style Sheets (CSS)

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V-Learn is an interactive platform that helps students understand data structures and algorithms through step-by-step visual animations. Unlike static tools, it enables dynamic learning by visually demonstrating each operation, making complex concepts easier to grasp.

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