thevladdo/genui-framework: GenUI Framework - Master Thesis Release

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Authors: Vlad Dogariu
Cited by: 0

Abstract

GenUI Framework v1.0.0 Stable release accompanying the Master's Thesis "From Mass Production to Mass Customization: enhancing User Experience with AI-driven Generative UI through an outcome-oriented design approach" at the University of Camerino (2026). What's included Multi-agent backend: ProfileAgent, BehaveAgent, ResponseAgent, ZoneAgent orchestration React frontend: GenUIZone components for embeddable personalized content areas RAG pipeline: Semantic document retrieval with Qdrant vector database Privacy-first architecture: Local-first storage with IndexedDB Hybrid navigation model: Editorial structure + dynamic personalized access points Technical validation results Intent detection accuracy: 87.5% Average response latency: 3,889ms Component validity rate: 100% Note This is a research prototype demonstrating technical feasibility. It is not optimized for production-scale deployment. Citation If you use this framework in your research, please cite the accompanying thesis. License Apache 2.0

Fields of Study & Subjects

Recommender Systems and Techniques Mobile and Web Applications Web Applications and Data Management

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
13 January 2026