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Songgestions is a music recommendation system built with TensorFlow. It suggests songs based on listening patterns and audio features, learning what makes tracks similar beyond simple genre labels.
The interesting part was feature engineering: turning raw audio characteristics and listening history into inputs a model can actually learn from, then evaluating whether the recommendations felt right to real listeners rather than just scoring well on a metric.