Babylonian Journal of Artificial Intelligence

Vol. 2024 (2024)
Articles

Enhanced Priority-Integrated Mult winner Voting Software

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  • Firas Ali Hashim,
  • Qabas Abdal Zahraa ,
  • Nadia Mahmood Hussien,
  • Yasmin Makki Mohialden
Firas Ali Hashim
Computer Science Department, College of Science, Mustansiriyah University, Baghdad, Iraq
Qabas Abdal Zahraa
Computer Science Department, Collage of Science, Mustansiriyah University, Baghdad-Iraq
Nadia Mahmood Hussien
Computer Science Department, Collage of Science, Mustansiriyah University, Baghdad-Iraq
Yasmin Makki Mohialden
Computer Science Department, Collage of Science, Mustansiriyah University, Baghdad-Iraq
DOI: https://doi.org/10.58496/BJAI/2024/005

Published 2024-04-07

Keywords

  • Voting software,
  • Pharmacy Automation,
  • artificial intelligence (AI),
  • Interactive Voting,
  • Mathematical Algorithms,
  • Ranking Algorithms
    • ...More
    Less

How to Cite

Hashim, F. A., Zahraa , Q. A., Hussien, N. M., & Mohialden, Y. M. (2024). Enhanced Priority-Integrated Mult winner Voting Software. Babylonian Journal of Artificial Intelligence, 2024, 27–33. https://doi.org/10.58496/BJAI/2024/005

Abstract

Modern democracy values efficient, fair elections. This paper offers Google Cola an embedded interactive multi-winner voting method to improve democracy. Candidates and values can be entered using Python in the Colab. Basic Python algorithms and classes simplify priority candidate multi-winner elections. According to user feedback, event-driven programming modifies candidate priority enabling accurate and effective elections.

These embedded system functions prioritize, rank, and aggregate votes.

These mathematics facilitate fair and transparent outcome processing. This research demonstrates the embedded system's technology deployment and potential to support inclusive elections. The proposed solution helps electoral democratization by integrating collaboration with cutting-edge technologies

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