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Description
Mainly made for the business-model AI, I designed the graphics for the DataTrack AI Trainer.
Designed as an administrative data-input interface, it was meant to provide a user-friendly method of training your bot for its intended job.
Realizing that not everyone wants to type out lines of code just to automate a simple scriptbot, NR has provided not only a revolutionary intelligent AI far, far more capable than any of it's (somewhat publicly despised )predecessors, but also provides a sleek, easy-to-use interface made to "train" the AI by directly feeding it information, with absolutely no technical experience required.

On the left, the client can paste a document he/she wants the AI to learn, such as a web documents, readme files, faqs, or wikipedia texts. When the client hits the start button, the AI then begins processing the data, separating and discarding the contextually irrelevant data, while learning everything recording and storing the contextually relevant information in it's memory banks.

On the right side, the board displays the information that the AI is actively learning in real time. This interface was made especially for the business model widget designed for use for many jobs, such as virtual web support, site information hub, virtual assistant, and much more.

Description
Mainly made for the business-model AI, I designed the graphics for the DataTrack AI Trainer.
Designed as an administrative data-input interface, it was meant to provide a user-friendly method of training your bot for its intended job.
Realizing that not everyone wants to type out lines of code just to automate a simple scriptbot, NR has provided not only a revolutionary intelligent AI far, far more capable than any of it's (somewhat publicly despised )predecessors, but also provides a sleek, easy-to-use interface made to "train" the AI by directly feeding it information, with absolutely no technical experience required.

On the left, the client can paste a document he/she wants the AI to learn, such as a web documents, readme files, faqs, or wikipedia texts. When the client hits the start button, the AI then begins processing the data, separating and discarding the contextually irrelevant data, while learning everything recording and storing the contextually relevant information in it's memory banks.

On the right side, the board displays the information that the AI is actively learning in real time. This interface was made especially for the business model widget designed for use for many jobs, such as virtual web support, site information hub, virtual assistant, and much more.