Update README.md

Author: KOTerra

README.md

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 # SpotifyCollabGraph
-Outputs a graph of the connections between artists in a spotify playlist, while also getting all members of a band 
+Goal is to create a knowledge graph to serve a recommendation engine of all musicians that exist on every streaming platform, where connections in the graph database represent a "artist WORKED WITH artist" or "artist MEMBER OF artist" in the case of bands and also having semantic embeddings on nodes for ML integration (link prediction, community detection etc.)
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+Currently the project can retrieve this information from songs on a spotify playlist and load it in a remote neo4j database. 
+411 artist nodes on example playlist (https://open.spotify.com/playlist/1ssL2ME8jwjHRVKf7Cnbur) with 71 songs.
+Target is around 20 million artists.
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+It will build upon streaming platforms API and publically available databases such as musicbrainz and discogs, while also having the capability to periodically update itself with new music releases.
+
+Currently used tech stack:
+- python
+- neo4j
+- spotify/discogs API
+- oracle cloud interface
+- tailscale
+- docker