Resotrack: Exploring the Resonate API with Django-Neomodel on Aura

Resotrack is a project that uses the Resonate music streaming platform's API to suggest popular tracks for each tag in its catalog. It leverages Django-Neomodel and Neo4j, deployed on Aura Free and Heroku, to create a simple recommendation tool for users interested in discovering new music within specific genres or tags. The project starts by creating constraints on the data model, importing playlists from the Resonate API, adding tracks with their associated metadata, and then populating tags for each track. The resulting graph database provides a unique way to explore and visualize the data, allowing users to discover new music based on their interests. By utilizing APOC functions like `apoc.periodic.commit` and `apoc.load.json`, Resotrack demonstrates how to efficiently load and process large datasets from external APIs into Neo4j.

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