Music isn’t just a form of entertainment – it also has a measurable impact on our feelings and mood. Research in psychology consistently shows that listening to and engaging with music is one of the most commonly used strategies for regulating emotions and managing mood, helping people both enhance positive feelings and mitigate negative ones through intentional selection and engagement with musical material. For example, studies have found that music is frequently used for cognitive and emotional regulation and is rated as a highly effective method for mood regulation and stress management across different contexts of daily life. (TanChyuan Chin & Nikki S Rickard)

Therefore, an app that automatically creates Spotify playlists based on weather conditions has been developed.
Examples:

• Rain in Vienna → Melancholic blues/jazz Playlist
• Sunny afternoon → Energetic pop Playlist
• Snowy evening → Peaceful classical Playlist

App-Features:

• Detects Vienna weather in real-time
• Generates playlist of 20 tracks
• Shows 5-day forecast
• Preview of first 6 songs
• Animated interface that changes colors
• Light/Dark mode

 

Github-Repository: https://github.com/GustaveMAG/vienna-vibe

This project has been realized by the students Gustave de PUIFFE de MAGONDEAU, Ryuichi Inoue and Mykola Skrypnykov in January 2026 as part of the course Data Ethics and Open Data at the UAS Technikum Wien as part of the StudyATHome hub. This course is also part of the project IoCEST – Internationalisation of the Curricula in Engineering, Environmental, Smart Cities and Sport Technologies which has been funded by the City of Vienna.

References

Spotify Web API
https://developer.spotify.com/documentation/web-api/ – Music streaming platform
Open-Meteo
https://open-meteo.com/ – Free weather API
Flet
https://flet.dev/ – Python UI framework