Project Abstract

The “Weather and Music Alarm Clock” project aims to revolutionize morning routines by seamlessly integrating real-time weather data with personalized music selections. Leveraging Android development tools and external APIs like Open Weather Map and Spotify, this initiative seeks to create a mobile application that delivers tailored wake-up experiences across Android devices. By dynamically adjusting alarm tones to reflect daily weather conditions and individual musical preferences, the app aims to enhance users’ mood and preparedness for the day ahead. Through a synthesis of research spanning human-computer interaction, psychology, and data science, the project aligns with findings on the influence of music and weather on mood and behaviour. With the potential integration of machine learning for music recommendations and expansion into smart home connectivity, this project represents a novel approach to modernizing traditional alarm clocks and enriching morning routines. As it evolves, the Weather and Music Alarm Clock project holds the promise of redefining digital personal assistance and positively impacting users’ daily lives and well-being.

Keywords: Android development, Human-computer interaction, Data science

 Conference Details

Session: Presentation Stream 18 at Presentation Slot 2

Location: GH014 at Wednesday 8th 09:00 – 12:30

Markers: Benjamin Mora, Jen Pearson

Course: MSc Computer Science, Masters PG

Future Plans: I’m looking for work