ANALYZING MUSIC STREAMING TRENDS USING SPOTIFY DATA

Abstract

This project Analyzing Music Streaming Trends Using Spotify Data aims to develop a data-driven system that analyses and predicts music popularity based on audio features collected from Spotify. The objective is to design and implement an interactive platform that processes song attributes such as danceability, energy, loudness, tempo and valence to identify trends and popularity patterns in music streaming. The system provides insights through visual analytics and popularity prediction to help understand listener preferences and evolving music trends. This platform ensures efficient data handling and accurate analysis using machine learning techniques. Key Words: MongoDB, Spotify Data, Music Trends Analysis, Popularity Prediction, Machine Learning