Ανάπτυξη εφαρμογής εξατομικευμένων προτάσεων δραστηριοτήτων με βάση τη διάθεση, τα χαρακτηριστικά και άλλων στοιχείων του χρήστη μέσω APIs και επιπρόσθετων εργαλείων

Πολυχρόνη, Ελένη - Χριστίνα

Development of a personalized activity recommendation application based on user mood, user characteristics, and additional elements through APIs and supplementary tools

Bachelor Dissertation

Author

Πολυχρόνη, Ελένη - Χριστίνα

Date

2024-09

Abstract

Τhis thesis focuses on the development of MoodMate, a personalized application that suggests activities to users based on their mood, interests, and location. By collecting and analyzing data from Firebase and utilizing the Gemini API, OpenWeather API, and Google Maps API, the application tailors activity suggestions by incorporating external factors such as weather conditions and the current time. The goal of the project is to enhance users' emotional well-being through the Gemini API, which employs machine learning algorithms to provide personalized recommendations, fostering self-awareness and flexibility in users' daily lives. This work falls within the scientific fields of Computer Science and Psychology, with an emphasis on the technology that supports well-being and personalization.

Department

Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Πληροφορικής

Number of pages

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/16885
http://dx.doi.org/10.26267/unipi_dione/4307

Collections

Τμήμα Πληροφορικής

Show full item record

Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού - Παρόμοια Διανομή 3.0 Ελλάδα