International Journal on Science and Technology

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Enhancing User Experience in ePermitting Systems Through AI-Driven Personalization

Author(s) Sneha Deepika Kalagarla
Country United States
Abstract This article explores how artificial intelligence transforms electronic permitting systems through personalization capabilities. By examining user behavior patterns and implementing adaptive interfaces, AI-driven ePermitting platforms enhance user experience, reduce application errors, and streamline administrative processes. Integrating machine learning algorithms, natural language processing, and predictive analytics creates opportunities for more intuitive, efficient, and accessible government services. The personalization strategies discussed include adaptive interface design, contextual recommendation systems, intelligent form assistance, and tailored communication channels. While highlighting the transformative potential of these technologies, this article also addresses critical challenges, including data privacy concerns, algorithmic bias risks, automation-human oversight balance, and technical integration hurdles in public-sector applications.
Keywords Keywords: ePermitting, Artificial Intelligence, Personalization, User Experience, Government Services
Field Computer
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-28
Cite This Enhancing User Experience in ePermitting Systems Through AI-Driven Personalization - Sneha Deepika Kalagarla - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2923
DOI https://doi.org/10.71097/IJSAT.v16.i1.2923
Short DOI https://doi.org/g896fg
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