A new Explainable AI framework uses structured behavioral data and facial emotion features to detect early signs of career-related depression and anxiety in university students. The model, evaluated on Pakistani student data, achieves an F1-score of 89.12% and identifies key markers like avoidance of direct gaze and social withdrawal, aligning with psychological theory.