Ck12 Foundation

Miral Shah

Vinod Khosla

Reza Shahbazi

In some embodiments a processor can receive inputs associated with a user and classify, based on a first machine learning model using at least one input rubric, each input from the inputs into an input type. The processor can define, based on the input type of each input, a first set of inputs associated with a first evaluation type and a second set of inputs associated with a second evaluation type. The processor can select a second machine learning model based on the first evaluation type and can extract, using the second machine learning model, from the first set of inputs a pattern associated with the user, evaluate a first state of the user based on the pattern and a second state of the user based on the second set of inputs, and generate an assessment of the user based on the first state and the second state.

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Menlo Park, CA, United States of America

Miral Shah