We want to recommend a song base from a photo.
-
/datesets
contains all the images for training -
/notebooks
-
image_scrap.ipynb
collects data from bing image and form our dataset -
classification.ipynb
runs the model and classify images to different genres (Base on this tutorial)
-
-
Organize the data so that it fits the model.
-
Build a model that classfies images to different genres.
-
Use spotify api to recommend a song base on some given genre.
-
Integrate all this into a nice front end.