Build new preprocessing and classification method for public dataset

We are working on a project on developing preprocessing and classification method of EEG-NIRS data from this link https://doc.ml.tu-berlin.de/simultaneous_EEG_NIRS/ and https://doc.ml.tu-berlin.de/hBCI/. Take a look at the publications in the attach files. The original code can be accessed from https://github.com/JaeyoungShin/simultaneous_EEG-NIRS. We would like to develop a new preprocessing and classification algorithm using the machine or deep learning model with any language, then apply it to these 2 datasets. Further, design an attractive architecture for this entire experiment. The classification accuracy should be more than 90%. Please contact me for more detail.