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Elevating Mobile User Experience through Artificial Intelligence

dc.contributor.advisorHarangi, Balázs
dc.contributor.authorChebbi, Mohamed Ayoub
dc.contributor.departmentDE--Informatikai Kar
dc.date.accessioned2026-07-14T16:46:48Z
dc.date.available2026-07-14T16:46:48Z
dc.date.created2025-11-11
dc.description.abstractThis work presents a proof-of-concept system demonstrating the technical feasibility of using large language models (LLMs) to generate adaptive mobile user interfaces. The project implements a complete pipeline: a Flutter client that renders interfaces from JSON contracts, a NestJS backend managing user events and contract generation via Google Gemini 2.5 Pro, and a React dashboard for monitoring and control. The system successfully demonstrates end-to-end functionality through two simulated test scenarios. While this PoC establishes architectural viability and technical correctness, empirical validation of user experience improvements remains future work requiring controlled user studies with real participants.
dc.description.courseMérnökinformatikus
dc.description.degreeBSc/BA
dc.format.extent61
dc.identifier.urihttps://hdl.handle.net/2437/413227
dc.language.isoen
dc.rights.infoHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectUser Interface
dc.subjectUser eEperience
dc.subjectServer-Driven User Interfaces
dc.subjectUI/UX
dc.subjectLarge Language Models
dc.subjectAdaptive UI
dc.subjectFlutter
dc.subject.dspaceInformatics::Computer Science
dc.titleElevating Mobile User Experience through Artificial Intelligence

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