AlphaClaw

'- A complex NFT price prediction model using autokeras.

• Based on the previous trades, creator(s), platform sold at, volatility.
• This model can also used to predict what could be the price of an NFT if you make them and are ready to put it on a platform.
• So far rarible, cryptokittes and cryptopunks are learnt fully by alphaclaw and many other nft tokens

'- 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)