'- A complex NFT price prediction model using autokeras.
'- Using the state of the Art image regression models from SDDs to YOLO to resnets .
Tested each model to pick the most accurate model.
Used the whole of cryptokitties , cryptopunks and some of rarible as a dataset with their past prices + owner profiling.
The app runs on a flask server, the model is a tensorflow model which does the magic.
The front-end is vanilla HTML + CSS and a few more beautifying libraries. (because I am solo and didn't have enough time)