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NFT appraisal pricing model using keras, Deep learning using CNN + autoencoder + ImageRegressor to get a good range of your price


Created At

HackMoney 2021

Project Description

'- 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

How it's Made

'- 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)

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