Android developer Antonio Tari founded the 'TunaCam' app with Evelyn Csiszar, a visual designer and the owner of Evi Designs.
The two first discussed the idea back in 2014, when they imagined how useful it would be to have a playlist to go along with a certain moment. With this in mind, they set out to create an app that could generate playlists based on a user's unique surroundings. TunaCam works by analyzing a picture and then uses an algorithm to generate tags to match. Afterwards, it looks through an extensive database to find songs that match the image's key qualities.
By allowing TunaCam to do the work for them, users are able to find and experience music in a whole new way.
Playlist-Generating Apps
'TunaCam' Creates Playlists for Users Based on Their Surroundings
Trend Themes
1. Playlist-generating Apps - Disruptive innovation opportunity: Develop personalized playlist apps that generate playlists based on a user's surroundings.
2. Image Analysis Algorithms - Disruptive innovation opportunity: Develop algorithms that analyze images to generate tags and match them with relevant songs.
3. Contextual Music Experiences - Disruptive innovation opportunity: Create apps or platforms that enhance music listening experiences by providing contextual playlists based on a user's unique surroundings.
Industry Implications
1. Mobile App Development - Disruptive innovation opportunity: Develop mobile apps that use image analysis algorithms to generate personalized playlists based on a user's surroundings.
2. Music Streaming Services - Disruptive innovation opportunity: Enhance music streaming services by incorporating personalized contextual playlists based on a user's surroundings.
3. Artificial Intelligence (AI) Music - Disruptive innovation opportunity: Combine AI and music to create cutting-edge platforms that offer personalized music experiences based on a user's unique surroundings.