We made a project which used ML models to first detect faces and emotions after which we get the names of the people which go into a database containing their Spotify details on which we can do operations using simple queries.This data is used to recommend songs of common interests for multiple people using a k means clustering algorithm.
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A project which used ML models to first detect faces after which we get the names of the people which go into a database containing their Spotify details. This data is used to recommend songs of common interests for multiple people using a k means clustering algorithm made as a part of megathon22
Vanshika-Dhingra/Megathon_EnhancingTravelExperience
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A project which used ML models to first detect faces after which we get the names of the people which go into a database containing their Spotify details. This data is used to recommend songs of common interests for multiple people using a k means clustering algorithm made as a part of megathon22
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