Predicting a college graduate’s professional path is crucial, but there’s an issue with making precise plans and predictions. When it comes to college grads’ career planning, the neighborhood analysis algorithm is unable to resolve the issue of career orientation prediction, and the outcome is irrational. Consequently, this research suggests using a chaotic analysis technique to predict job inclination in college graduates’ career planning. To begin, graduates are predicted using the career development theory, and the indicators are split according to the needs of career positioning prediction in order to eliminate them. Interference factors in career positioning prediction. The career development theory comes up with a method to forecast how college grads will approach their careers, and it’s spot on. Results of career positioning predictions were examined. Under certain prediction criteria, the GZXMLC simulation demonstrates that the chaos analysis approach outperforms the neighborhood analysis algorithm in terms of both accuracy and prediction time when it comes to college graduates’ career planning.