Advancing the Understanding of Complex Data Through AI-Powered Automated Visualization: Techniques and Application A Case Study Of Heritage Christian University College Student Enrolment

Authors

  • Isaac Kwesi Adjei UG - Information Technology, HCUC, Accra, Ghana, India. Author
  • Albert Sackey UG - Information Technology, HCUC, Accra, Ghana, India. Author
  • Mary Immaculate Sheela Lourdusamy Professor, Computing and Engineering, HCUC, Accra, Ghana,India Author
  • Sasikala P Associate Professor, Department of Computer science, Lal bahadur shastri Government First Grade College, Bangalore, India. Author

DOI:

https://doi.org/10.47392/IRJAEH.2025.0302

Keywords:

Artificial Intelligence (AI), Data Visualization, Student Enrollment, Machine Learning, Decision-Making, AI-generated Visualizations, Statistical Analysis

Abstract

To increase student enrollment, Heritage Christian University College (HCUC) is pioneering innovative data visualization methods. This study is an analysis of using artificial intelligence to create charts and graphs automatically. This, in turn, makes the complex data more accessible and engaging. We design the graphical representations based on advanced algorithms and features of the data, as well as the students’ personal tastes. To perform this project, we took the most of the possibility of the technique we created to engage the whole audience. Students compared these images to traditional versions, which were made by humans, and assessed the truth, interest, and compatibility of each image. It is obvious that AI-based visualization better accomplishment of data presentation, which makes it simpler for the students to have a grasp of the university’s prestige and its various programs.

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Published

2025-05-05

How to Cite

Advancing the Understanding of Complex Data Through AI-Powered Automated Visualization: Techniques and Application A Case Study Of Heritage Christian University College Student Enrolment. (2025). International Research Journal on Advanced Engineering Hub (IRJAEH), 3(05), 2070-2074. https://doi.org/10.47392/IRJAEH.2025.0302

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