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April 22, 20260 citationsOpen Access

AI-Integrated Android And Mobile Development Framework Mahesh Saini & Guided By Dinesh Cholkar

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MSMahesh Kumar SainiDCDinesh Cholkar

Key Points

  • To develop an AI-Integrated Android and Mobile Development Framework that enhances app performance and user experience.
  • Developed AI-AMDF framework combining machine learning and cross-platform tools.
  • Optimized applications via real-time analysis of device metrics and user behaviors.
  • Compared performance metrics with conventional mobile development.”],
  • Achieved a 38% improvement in app performance metrics.
  • Reduced development time-to-deployment by 31% compared to traditional methods.

Abstract

The rapid evolution of mobile computing has fundamentally transformed how humans interact with technology. This paper presents an AI-Integrated Android and Mobile Development Framework (AI-AMDF) that leverages machine learning, cross-platform development tools, and intelligent UI/UX systems to deliver high-performance, adaptive mobile applications. The proposed framework dynamically optimizes app behavior, battery usage, and user experience based on real-time device analytics and user interaction patterns. Results demonstrate a 38% improvement in app performance metrics and a 31% reduction in development time-to-deployment compared to conventional mobile development approaches.

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Cite This Study

Saini et al. (2026) studied this question.

synapsesocial.com/papers/69e866ad6e0dea528ddeb143https://doi.org/10.5281/zenodo.19660417
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