growing up, i learned to sing Carnatic (Indian classical) music. Carnatic music songs are often based on a scale, or a raga. naturally, i wondered whether other songs i listened to adhered to carnatic music ragas.

raga detector started as a project for my jazz class--i built a website using Flask and the Spotify API in order to determine the closest melakarta raga to a song.

as a part of my final project for 6.8371 (computational photography), i wanted to use the techniques we learned for image manipulation in order to process music.

using the short-time Fourier transform, i wrote a program that will take a song's wav file as an input and generate its spectrogram.

when i was a part of the hackmit organizing team, i wanted a way for teams to be individually matched with a mentor who would help them throughout the course of the hackathon.

i helped build an internal app using Flask and PostgreSQL for the team to use that would automatically pair teams and mentors based on their individual preferences/restrictions.

using tensorflow, i wrote an app that uses the timbre vectors generated by the Spotify API for a song in order to detect what the most dominant instrument during that segment of a song is.

for my friend's birthday, i made her a Google Chrome extension using Javascript that opened up a meme we've shared with each other every time she opened up a new tab.

look to the left to see an example of what YOU could see if you used it too!

i created a command-line urban dictionary in an effort to play around with web-scraping and python, although i'm not sure why anyone would use it : D