A Chrome extension for tracking and analyzing streaming data on Spotify. Easily monitor playlist, album, and track streams, export data to Excel.

A Next.js application that lets you explore your Spotify listening history, create playlists based on specific time periods, and visualize your music journey.

Spotify Stats is a privacy-focused web app that lets users explore their Spotify listening habits, including top artists, tracks, and genres. Built with Next.js, and Tailwind CSS, it offers secure authentication via NextAuth.js and integrates Plausible analytics for privacy-conscious tracking.

Analysis on music release through Youtube comments on relevant videos

Utilize advanced machine learning algorithms to predict song popularity and discover top song recommendations across various genres. Dive into interactive visualizations and data-driven insights for a deeper understanding of music trends. Perfect for curating playlists and enhancing listener experiences.

Live recording take analysis

This project analyses Spotify track data using linear regression models to explore relationships between audio features and track popularity. It includes Jupyter Notebooks demonstrating simple and multiple linear regression techniques

A full-stack web application that transforms music discovery through interactive visualizations, personalized recommendations, and deep artist analytics. Built with the Spotify API, MusicBucket helps users explore new music, track their listening journey, and understand their musical preferences with rich data insights.

Built SQL queries and aggregations to uncover trends in listening habits, popular genres, and user engagement metrics using Spotify dataset.