Verge provides the users an aesthetic sense of music with a wide range of genres, the user can search for music based on their moods and can share, comment and send appreciation to the artist. The artists have their own dashboard to manage their content and can connect their social token wallet to promote their content across whole United States. The listener can have those tokens and can send those tokens as an appreciation to the artists. Verge is the only platform where music lovers can communicate with each other directly, you can follow your favorite artists and can listen to their new songs within seconds.
Develop a music player app, to curate and cater to the user’s specific tastes through the system and interface, to have digital currency integrated which can be transferred with in the platform to have artists promote their content also a medium where listeners can send appreciation to the artist which has some monitory value, and to make sure that its machine learning functions improves over time and with frequency of usage.
There is going to be a wide variety of mood categories with in the app, also when the artist will upload their content they will specify the mood category of that content, which helps the user to search or filter the song according to their moods.
Use of machine learning library where the app will enhance its suggestion feature according to the moods of the listeners.
Integrating a social token API which is trusted by Millions of people around the globe, where the artists can generate their tokens and spread into their community as they see fit.
The same token which the user have received from the artists they can share that token in verge to send an appreciation gesture to other artists.
There is going to be Social token wallet API integrated where the artists and listeners can have all their social tokens.
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