MUSIQA
MORE OF WHAT YOU LOVE
Search for a song.
MUSIQA takes the song and splits it into 15 vector attributes and gives you the next nearest songs based on cosine similarity in the music vector space.
MUSIQA
MORE OF WHAT YOU LOVE
Search for a song.
MUSIQA takes the song and splits it into 15 vector attributes and gives you the next nearest songs based on cosine similarity in the music vector space.
WHY.
I was frustrated with the limited recommendations from YouTube and Spotify. The suggestions felt repetitive and often missed my evolving taste in music. That's why I started this project: to create a tool that would offer a more personalized music discovery experience. By integrating various sources and using advanced algorithms, this tool aims to provide fresh, tailored song recommendations based on what you actually enjoy. Say goodbye to the same old suggestions and find new tracks that truly match your taste!
HOW IT WORKS.
MUSIQA takes your favorite song and analyzes it to extract 15 unique vector attributes. These attributes capture the essence of the song, including its melody, rhythm, and overall feel. By comparing these vectors with a vast database of songs, we can identify the 10 nearest tracks that share similar characteristics. This method ensures that the recommendations are not just based on genre or popularity, but on the specific qualities that make a song unique. Discover new music that truly resonates with your taste!
Login and connect with spotify. Play songs here, choose, decide and directly add Songs to your playlist, with one touch. OAUTH2.0 allows for no sharing of personal data.