Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/149713
Title: Building a mobile app for joke-generating with machine learning model
Authors: Toh, Rui Sheng
Keywords: Engineering::Computer science and engineering::Software::Software engineering
Engineering::Electrical and electronic engineering
Issue Date: 2021
Publisher: Nanyang Technological University
Source: Toh, R. S. (2021). Building a mobile app for joke-generating with machine learning model. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149713
Project: A2088-201
Abstract: Several studies have utilised machine learning language models, such as GPT-2, to learn and generate new tweets; however, not many of them attempt to explore the usage of language learning in the entertainment field through a more accessible medium. Here we designed an Android mobile application which showcases the jokes obtained by training the GPT-2 model. The model is trained by feeding Tweets, from Twitter accounts of well-known comedians, into it. Outputs of the model are curated through both software and manual approaches, in order to ensure the end results possess proper grammatical structures and high qualities. The results are stored in MongoDB Atlas, a cloud database. Additionally, MongoDB Realm is used to synchronise data between the database and the Android application.
URI: https://hdl.handle.net/10356/149713
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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