OverAir is a digital product that uses Spotify’s research on how weather affects mood and hence acoustic attributes of your music preferences to play songs and videos.

The interface will display city name, temperature, and weather description around user’s location. Location videos and song will play depending on this code.

Ideally, there would be a much bigger database of songs/playlists as well as videos carefully inserted from the research. I also envision the use of live satellite and environmental videos from the user’s location. Because I do want people to acknowledge the weather.

CODE ON GITHUB

RESEARCH

MOOD—GENRE—WEATHER

Energetic and rhythmic—dance/electronica, rap/hip-hop, and soul/funk—Spring  | Summer | Clear

Intense and rebellious—alternative, rock, and heavy metal—Monsoon | Rain | Drizzle Rain | Thunderstorm

Upbeat and conventional— country, religious, pop, and soundtracks/theme songs—Fall

Reflexive and complex—classical, blues, folk, and jazz |  Winter | Clouds | Mist | Fog | Snow

BASED ON SPOTIFY RESEARCH

CODE IMPLEMENTATION

Geo-coordinates code and OpenWeatherMap API is implemented to detect the weather of the user first and then the weather codes received from the API to play songs from the database. The audio database was created based on the research by Spotify.

The interface will display your city name, the temperature, weather description around you first. The video and song will then play depending on this data. You can skip and play the next song as well.

The different weather conditions, songs, and videos from the product are shown below in the videos. Below videos should give you the exact experience of OverAir product