Algorithm Visualization on Data Structures Along with AI Chatbot

Abstract

This exploration paper presentsan innovativeapproach toalgorithmvisualization, combining animatedrepresentationswithan intertwined chatbotfor realtimebacking.The proposed system aimsto enhance the literacyexperience of scholars andprofessionals studying algorithmsby furnishing interactive visual demonstrations and support. The Algorithm Visualizer leverages modern web technologies such as React and Framer Motion, along with Google Gemini for chatbot capabilities, to create a comprehensive learning environment. Our evaluation demonstrates significant improvements in user engagement and algorithm comprehension, highlighting the potential impact of this integrated approach on algorithm education.

Introduction

Understanding algorithms is essential but challenging for computer science learners due to the difficulty of mentally visualizing execution steps. This research introduces an Algorithm Visualizer that combines animated algorithm visualizations with a real-time AI chatbot assistant to enhance learning.

While existing visualization tools offer animations, they often lack interactivity and immediate user support. The proposed system fills this gap by integrating high-quality animations (using React and Framer Motion) with a Google Gemini-powered chatbot that explains steps, answers queries, and generates code snippets in real time.

The system supports various algorithms (sorting, searching, graph algorithms), offers step-by-step animations with user controls (play, pause, speed adjustment), and allows users to test algorithms with customizable input data. The chatbot provides personalized help without leaving the interface.

A user study with 50 computer science students showed that the tool significantly improved algorithm understanding, engagement, and task completion speed, with high satisfaction reported for both visualization and chatbot assistance.

Overall, this Algorithm Visualizer enhances algorithm education by combining interactive animations and AI-powered tutoring, providing a supportive and engaging learning environment.

Conclusion

This research presents an Algorithm Visualizer that combines animated visualizations with real-time chatbot assistance. The system demonstrates significant potential in enhancing algorithm understanding and providing immediate support to learners. The integration of high-quality animations using Framer Motion and AI-powered assistance through Google Gemini creates a comprehensive learning environment that addresses multiple learning styles and needs. Our evaluation shows that this approach can significantly improve engagement, understanding, and task completion times for algorithm-related tasks. Future work will focus on expanding the algorithm library to include more data structures and algorithms, improving chatbot capabilities, and conducting long-term studies on learning outcomes. The potential for integration with educational platforms also presents an opportunity to reach a wider audience and make algorithm education more accessible and effective.

References

[1] A. Gupta, M. Vyawahare, 2023. AlgoViz: Algorithm Visualization. International Journal of Computer Science Education, 12(4), pp. 45-58. DOI: 10.1109/IJCSE.2023.007894. [2] S. Dubey, S. Gupta, A. Kumar, 2023. Visualizing Algorithms: A Comprehensive Exploration of Sorting and Computational Problem Solving. Journal of Computational Learning, 15(2), pp. 67-80. DOI: 10.1109/JCL.2023.008112. [3] S. Geetha, S. K., M. V., A. S. Joshi, A. C. S., 2024. Animated Algorithm Visualizer for Graph-Based Algorithms and Recursive Programs Using Machine Learning. IEEE Transactions on Education Technology, 18(1), pp. 22-36. DOI: 10.1109/TET.2024.009256. [4] A. Trivedi, K. Pandey, V. Gupta, M. K. Jha, 2023. AlgoRhythm - A Sorting and Path-finding Visualizer Tool to Improve Existing Algorithms Teaching Methodologies. International Journal of Digital Education Tools, 14(5), pp. 95-109. DOI: 10.1109/IJDET.2023.005784. [5] S. Goel, V. Varshney, S. Dikshant, A. Sharma, S. Johri, 2023. A Review of The Algorithm Visualization Field. Journal of Visualization Studies, 9(3), pp. 112-130. DOI: 10.1109/JVS.2023.002378. [6] A. Thakkar, K., S. Dash, S. K. Joshi, 2022. Sorting Algorithm Visualizer. Journal of Web-Based Learning, 8(2), pp. 44-59. DOI: 10.1109/JWBL.2022.004561. [7] L. Singh, S. Khare, A. Parvez, S. Verma, 2022. Research Paper on Path-finding Algorithm Visualizer. Journal of Applied Graph Theory, 5(4), pp. 78-93. DOI: 10.1109/JAGT.2022.006431. [8] J. Lin, H. Zhang, 2022. Data Structure Visualization on the Web. Journal of Data Science Education, 7(1), pp. 33-48. DOI: 10.1109/JDSE.2022.005674. [9] N. Yadav, K. Dhameja, P. Chaubey, 2021. Path Finding Visualizer Application for Shortest Path Algorithm. International Journal of Computing Education, 6(3), pp. 40-55. DOI: 10.1109/IJCE.2021.004965. [10] D. Zhu, Y. Wang, B. Wei, Z. Guo, F. Wan, 2021. Data Visualization Overview. Journal of Big Data Analysis, 9(2), pp. 120-135. DOI: 10.1109/JBDA.2021.003761. [11] M. A. Turner, S. J. Reed, 2023. Visualization Tools for Teaching Sorting Algorithms: A Survey. Journal of Computing and Education, 19(2), pp. 64-77. DOI: 10.1007/s10955-023-01436-4. [12] P. J. Wiggins, L. G. Sutherland, 2021. Exploring Algorithm Visualization: From Paper to Interactive Applications. Journal of Educational Software Development, 17(3), pp. 22-33. DOI: 10.1109/JESD.2021.005394. [13] B. Goswami, A. Dhar, A. Gupta, A. Gupta, 2021. Algorithm Visualizer: Its Features and Working. Proceedings of the 8th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), IEEE. [14] Y. Zhu, 2024. Visualization Techniques for the Design and Analysis of Dynamic Programming Algorithms. Proceedings of the 28th International Conference on Computer Science and Engineering (ICSE), IEEE. [15] K. Garg, 2021. An Approach to Develop Web-Based Application for Simulation and Visualization of Operating System Algorithms. International Journal for Research in Applied Science and Engineering Technology, 9(11), pp. 1893-1900. DOI: 10.22214/ijraset.2021.39093. [16] A. Kulkarni, S. Padave, S. Shrivastava, V. Kawtikwar, 2023. Algorithm Visualizer. International Journal for Research in Applied Science and Engineering Technology, 11(7), pp. 1818-1823. DOI: 10.22214/ijraset.2023.54837. [17] C. A. Shaffer, M. L. Cooper, A. J. D. Alon, M. Akbar, 2010. Algorithm Visualization: The State of the Field. ACM Transactions on Computing Education, 10(3). DOI: 10.1145/1821996.1821997. [18] K. P., M. Afthab, M. Shetty, A. M., 2023. Visualization of Data Structure and Algorithm. International Journal for Research in Applied Science and Engineering Technology. DOI: https://doi.org/10.22214/ijraset.2023.51094. [19] A. A. Supli, N. Shiratuddin, S. B. Zaibon, 2016. Critical Analysis on Algorithm Visualization Study. International Journal of Computer Applications, 150(11). Foundation of Computer Science (FCS), NY, USA.

Copyright

Copyright © 2025 Mr. S. R. Bhandari, Mr. Chattar Abhijeet, Mr. Baile Pratik, Mr. Tambe Adinath. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.