Web-Based Dynamic Algorithm Visualizer Along with Chat Engine SDK for Neophytes

Authors

  • Arijit Goswami Student, Department of Computer Science, University of Engineering and Management, Kolkata, India
  • Biswarup Bhattacharjee Student, Department of Computer Science, University of Engineering and Management, Kolkata, India
  • Rahul Debnath Student, Department of Computer Science, University of Engineering and Management, Kolkata, India
  • Ankita Sikder Student, Department of Computer Science, University of Engineering and Management, Kolkata, India

Keywords:

algorithms, visualization environment, analysis of complexities, web-based learning

Abstract

Algorithm Visualization is an online interactive platform that displays algorithms from code. Learning the algorithm is much easier by visualizing it. Algorithm Visualizer is a web application written in React. It contains UI elements and translates commands into visualizations. Algorithms are an attractive use case for visualization. To make an algorithm visualize, we do not simply measure the data in a chart; no primary database. Instead, there are reasonable rules that govern behavior. This may be why visualization of the algorithm is unusual, as designers are trying to create novel forms for better communication. This is a good reason to read them. The main purpose of this is to ensure effective and reliable methods of detecting various algorithms. Using this web application anyone can learn algorithms quickly and easily. Such applications are already available, but the efficiency of the available algorithm visualizers is not achieved thoroughly. This newly developed application proposes to take a step further and visualize all types of algorithms along with a customized chat engine SDK that enhances visual accuracy on a much larger scale.

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Published

06-09-2021

How to Cite

[1]
A. Goswami, B. Bhattacharjee, R. Debnath, and A. Sikder, “Web-Based Dynamic Algorithm Visualizer Along with Chat Engine SDK for Neophytes”, IJRESM, vol. 4, no. 9, pp. 15–19, Sep. 2021.

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Section

Articles