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What's the song you go to when you're feeling nostalgic? How did they change as time goes on?
We want to analyze the attributes of the top 50 songs of the 2000s, to make an ultimate playlists that captures the feeling of the 2000s.
Changes and trends in popular music have heavily shaped the lives of each generation. We aim to find some of these trends and determine what contributes to creating a hit song in the modern day.
We're analyzing song lyrics from 2000 to 2010 to add deeper, more meaningful tracks to your playlists. Say goodbye to mainstream, and hello to music that resonates with your soul.
Machine Learning, Song Hit Prediction, SVM, Random Forest, XGBoost, Logistic Regression, Spotify
For members of the Gen Z community, the 2000s is the epitome of nostalgia. Wave2K attempts to answer the question: What makes it nostalgic? Is it the song itself, or the memories attached to it?
We set out to find correlations across “club” songs, compare them to regular songs, and developed a model to predict whether a song fits the criteria.
Rock your Code: Unleashing the power of CLI Music Tools for developers
Have you ever wondered which nostalgic sitcom show characters share your music taste? Me too. We've created a personalized answer framework using Cosine Similarity and Euclidian Distance analysis!
Matchmaking for concert buddies based on Spotify tastes. Discover, connect, and experience live music like never before. Say goodbye to solo concert nights and hello to unforgettable memories!
Generating a *customized* Spotify study playlist for every single Pomodoro study session. You'll always look forward to the next tune!
App combines Spotify's API with AI text gen for real-time translation, music tracking, and interactive language tests.
This project combines the power of the Dall-E API for image generation and the Spotify API for music analysis to create unique AI-generated artworks based on your favorite songs.
Feeling uncertain about your emotions? Discover insights from your recent song choices and get tailored advice based on your music vibe!
Take a picture of your face, our proprietary AI Emotion Detection model tries to understand your mood and create a Spotify playlist based off of the mood we detect as well as your listening stats!!
CueCat strives to increase productivity and output while ensuring one’s wellbeing does not take a back seat, all in an adorable fashion.
Your music taste is your drink taste
Music can make or break a movie; why should reading be any different? At TIM, we use machine learning to merge the power of music with the emotion of literature, turning your books into experiences.
Statify is a web app that provides fascinating insights into your music habits. Whether you're curious about your current jam, your top artists, or your favourite tracks, Statify has got you covered!
Me, Thomas Wolan, Sahaj Singh, and Ibrahim Shabani created a program using Roboflow and Spotipy that can pause, play, and skip songs on Spotify using rock paper scissors hand signs
Is your music-less life starting to become boring? Augment reality to acquire music to fit in any environment you want to be in!
AI gait-driven music playlist for every mood!
Journal Your Day, Let AI Play Your Way.
A powerful tool used to visualize, interpret and expand your Spotify data.
![[2] - TuneTwin](https://d112y698adiu2z.cloudfront.net/photos/production/software_thumbnail_photos/002/600/178/datas/medium.png)
