Browsing by Author "AIMAN MIR (FA20-BSE-023)"

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    Enrich Movies Data Using Large Language Models
    (Library Information Services, COMSATS University Islamabad, Lahore Campus, 2024) MUHAMMAD BIN ARSHAD (FA20-BSE-072); AIMAN MIR (FA20-BSE-023); Asif Shahzad
    "Enrich Movies Data Using Large Language Models" is a project designed to serve as a comprehensive hub for all things related to movies. At its core, this platform will provide users with essential information about movies, encompassing details such as cast and director. It will also feature a collection of frequently asked questions about each film, ready for users to explore. Users will have the freedom to ask any movie-related question, and the system will respond with answers derived from a trained model, which has been fed on movie plots. Users can engage by posting reviews and rating movies, which will contribute to trending and discussed movie listings. The search functionality is powered by an advanced engine, Elastic Search, ensuring fast, accurate, and typo-tolerant results. The platform emphasizes user-friendliness, allowing users to sign in email accounts. It also supports multilingual interactions. Users can create and manage movie collections, customizing their organization for future reference.