Abstract :

Artificial Intelligence (AI) Has Made Remarkable Strides Across A Growing Range Of Fields In Recent Years. Despite These Advancements, Its Integration Into E-government Systems Still Presents A Number Of Challenges. These Obstacles Limit AIs Potential In Enhancing Both The Internal Efficiency Of E-government Infrastructures And The Quality Of Interactions Between Governments And Citizens.In This Study, We Examine These Key Challenges And Introduce A Comprehensive Framework Designed To Harness The Power Of AI For Modernizing And Streamlining Egovernment Services. Our Approach Involves Three Major Contributions. We Present A Structured Framework Focused On The Effective Management Of E-government Information Resources.We Design A Series Of Deep Learning Models Intended To Automate Core Public Service Operations.We Propose A Smart Architecture For An AIenabled E-government Platform That Supports The Creation And Deployment Of Intelligent Solutions Across Various Administrative Domains.The Primary Objective Of Our Framework Is To Implement Reliable And Transparent AI Methodologies That Can Transform Existing E-government Services. This Transformation Aims To Accelerate Service Delivery, Lower Operational Costs, And Enhance Citizen Satisfaction Through Intelligent, Automated Processes.

Published:

22-7-2025

Issue:

Vol. 25 No. 7 (2025)

Page Nos:

785 - 798

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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