Research and Development of a Platform for Predicting, Analyzing and Visualizing the User's Mental State, Based on Data Received Hrough the BCI Interface

This paper outlines the way in which the RAW EEG data, alongside with the artifacts, may be used to solve the fundamental problems, in the field of mental control, which is necessary for different kind of tasks and professions, varied from drivers (who can lose control on the road and got into an accident) up to the sports sector and lifestyle (controlling the sleep level). The work consists of three major parts: Introduction, Approach description, and Conclusion. The introduction point out the relevance of the topic and the problem sets goals and objectives and defines the object and subject of research. While the Approach description gives the in-depth explanation of the implementation from technical and economic sides. It dives into issues related not only to processing EEG itself but also covers the general problems of data analyze, its secure storing and manipulation. Keywords: EEG, brain waves, JavaScript, blockhain, big data, solidity, machine learning, ethereum, IPFS.