Abstract: Systems and methods are provided for evaluating career interests through situational judgment test format. In embodiments, a career assessment is generated, using a first language based machine learning model and a set of criteria. The career assessment is administered to a user. A plurality of test answers for the user are received based on the career assessment. For a particular test answer a score is assigned for the particular test answer and at least one user career interest category based on the score is determined. The totals for the at least one user career interest category based on the determining is tabulated. At least one career suggestion is provided, using a second language based machine learning model, based on the totals for the at least one user career interest category.