FeelinG App: Technical Report

Nicholson, Jack (2024) FeelinG App: Technical Report. Undergraduate thesis, Dublin, National College of Ireland.

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Abstract

This technical report describes the creation and assessment of FeelinG, a programme that creates playlists for users based on their feelings. The project makes use of contemporary technologies including OpenAI's GPT-4, Spotify API, Vite, and Vue.js. The main goal was to develop a customised music experience that increases user engagement by suggesting songs that fit the user's mood at the time.

Important features include mood analysis with OpenAI, playlist creation via Spotify API, and user input for emotions. User input, performance assessments, and usage data gathering were all part of the testing process, which showed excellent user satisfaction and efficient system operation.

Item Type:	Thesis (Undergraduate)
Supervisors:	Name Email Sheridan, Frances UNSPECIFIED
Subjects:	G Geography. Anthropology. Recreation > GV Recreation Leisure M Music and Books on Music > M Music Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science B Philosophy. Psychology. Religion > Psychology > Emotions
Divisions:	School of Computing > Bachelor of Science (Honours) in Computing
Depositing User:	Ciara O'Brien
Date Deposited:	27 May 2025 13:09
Last Modified:	27 May 2025 13:09
URI:	https://norma.ncirl.ie/id/eprint/7669

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