Enrich Movies Data Using Large Language Models

dc.contributor.authorMUHAMMAD BIN ARSHAD (FA20-BSE-072)
dc.contributor.authorAIMAN MIR (FA20-BSE-023)
dc.contributor.authorAsif Shahzad
dc.date.accessioned2026-04-08T11:13:05Z
dc.date.issued2024
dc.description.abstract"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.
dc.identifier.urihttps://repository.cuilahore.edu.pk/handle/123456789/3339
dc.language.isoen
dc.publisherLibrary Information Services, COMSATS University Islamabad, Lahore Campus
dc.subjectAsif Shahzad
dc.subjectfa20
dc.subjectDepartment of Computer Science
dc.subjectSoftware Engineering
dc.titleEnrich Movies Data Using Large Language Models
dc.typeThesis

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