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@article{197557,
        author = {Uday Misal and Chirag Borse and Roopak Shastri and Indu Kumari},
        title = {A Universal Cross-Platform Bookmarking System with AI-Powered Metadata Cleanup},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {5736-5740},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197557},
        abstract = {In the contemporary digital landscape, web users encounter content across multiple fragmented platforms — YouTube, Instagram, Reddit, Pinterest, X (Twitter), and the general web — with no unified mechanism for saving and retrieving that content. This paper presents UniSave, a universal bookmarking system comprising a Chrome Extension (Manifest V3), a Progressive Web Application (PWA) with Web Share Target integration, and a cloud-hosted Python FastAPI backend with Supabase (PostgreSQL) data storage. A key innovation is the Smart Titles pipeline, which utilises the Groq API (Llama 3.1 8B) to automatically clean saved content titles by stripping engagement metrics, hashtags, and platform-specific noise. Platform-specific scrapers extract accurate metadata — including thumbnails, titles, and captions — for six major platforms and generic websites. User testing with 20 participants yielded an overall satisfaction score of 4.6/5.0. Performance benchmarks demonstrate save API response times under 500ms (P50: 340ms) and Smart Titles processing under 300ms. UniSave demonstrates that a carefully architected full-stack web system with targeted LLM integration can meaningfully improve the cross-platform digital content management experience.},
        keywords = {Universal Bookmarking, Progressive Web App, Chrome Extension, Large Language Model, Groq API, FastAPI, Supabase, Web Scraping, Cross-Platform, Content Management.},
        month = {April},
        }