Performance Improvement of Government Employees Through Artificial Intelligence

This paper introduces an innovative AI-driven platform designed to improve public service efficiency by streamlining government-citizen interactions. The study presents a mobile and web-based complaint management system that uses artificial intelligence to classify and route geo-tagged public issues to the appropriate government departments. By integrating AI-powered triage, real-time performance dashboards, and user feedback mechanisms, the system enables transparency, accountability, and data-driven governance

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-04
DOI
https://doi.org/10.5281/zenodo.15193546
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
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article

Performance Improvement of Government Employees Through Artificial Intelligence

Zenodo (CERN European Organization for Nuclear Research)
Tuberculosis Research and Epidemiology
article

Performance Improvement of Government Employees Through Artificial Intelligence

article en

Abstract

This paper introduces an innovative AI-driven platform designed to improve public service efficiency by streamlining government-citizen interactions. The study presents a mobile and web-based complaint management system that uses artificial intelligence to classify and route geo-tagged public issues to the appropriate government departments. By integrating AI-powered triage, real-time performance dashboards, and user feedback mechanisms, the system enables transparency, accountability, and data-driven governance

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 55%
Tuberculosis Research and Epidemiology
DOIOpen Access PDFOpenAlex
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Performance Improvement of Government Employees Through Artificial Intelligence · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS