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Research and development of a cross-platform application for watching movies and TV series with Chat GPT AI integration

https://doi.org/10.53360/2788-7995-2023-3(11)-8

Abstract

The article presents the results of the research and development of a cross-platform application for watching movies and TV series with Chat GPT AI integration. In today's world, choosing movies and TV series is becoming increasingly difficult due to the huge amount of content available. Users are looking for tools that will help them find and enjoy interesting films and TV series. The main contribution of this article is the presentation of a developed cross-platform application that combines the ability to watch movies and TV series with ChatGPT artificial intelligence. The app provides unique features including powerful search and content filtering, personalized recommendations based on user preferences, and the ability to interact with ChatGPT for recommendations and communication. We take an in-depth look at key aspects of the app, including its functionality and user interface, and provide technical details and solutions used in development. Particular attention is paid to machine learning technologies and algorithms used to improve the quality of recommendations and enrich the user experience. This article not only introduces the entertainment aspect, but also demonstrates how combining entertainment and artificial intelligence can make the user experience in the world of streaming content more interesting and satisfying. We invite readers to review the research details and technological aspects of this innovative project.

About the Authors

A. A. Mukhamedin
Astana IT University
Kazakhstan

Master degree,

Astana 



G. A. Abitova
Astana IT University
Kazakhstan

scientific advisor, PhD, Associate Professor, DIS&CS,

Astana 



References

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Review

For citations:


Mukhamedin A.A., Abitova G.A. Research and development of a cross-platform application for watching movies and TV series with Chat GPT AI integration. Bulletin of Shakarim University. Technical Sciences. 2023;(3(11)):67-73. (In Russ.) https://doi.org/10.53360/2788-7995-2023-3(11)-8

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This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2788-7995 (Print)
ISSN 3006-0524 (Online)
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