International Journal of Innovative Research in Computer and Communication Engineering

ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines

| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |


TITLE Integrating Artificial Intelligence into Progressive Web Applications for Real-Time User Behaviour Prediction and Adaptive Content Delivery
ABSTRACT Progressive Web Applications (PWAs) have transformed modern web development by providing fast, reliable, and installable web experiences. However, most existing PWAs rely on static caching strategies and rule-based personalization, limiting their ability to adapt dynamically to user behavior. This research proposes an integrated framework that incorporates Artificial Intelligence (AI) into PWAs for real-time user behavior prediction and adaptive content delivery. The proposed system collects user interaction data such as clickstreams, session duration, and navigation patterns, which are processed using machine learning models to predict user preferences and future actions. Based on these predictions, the application dynamically adjusts content, preloads relevant resources, and optimizes caching strategies through intelligent service workers. The framework aims to enhance user engagement, reduce latency, and improve overall performance. Experimental evaluation compares traditional PWAs with the AI-enabled model using metrics such as prediction accuracy, page load time, and user retention rate. The results demonstrate that integrating AI significantly improves personalization and system efficiency, contributing to the development of intelligent and adaptive next-generation web applications.
AUTHOR ASHWINI KAPILE, MOHINI MASRAM, NIKITA RAJURKAR, KIRAN GUJAR Assistant Professor, Ranibai Agnihotri Institute of Computer Science & Information Technology, Wardha, Maharastra, India
VOLUME 182
DOI DOI: 10.15680/IJIRCCE. 2026.1403023
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KEYWORDS
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