In order to solve the problem of the accuracy of mental health assessment of college students, the author proposes an intelligent assessment system for mental health based on IoT data. In order to improve the evaluation effect, the author based on the original student mental health crisis counseling risk evaluation system designs a new risk assessment system for student mental health crisis counseling. The system hardware section mainly optimizes the design of the main control chip and the minimum system circuit. At the same time, a psychological counseling risk calculation model is built to realize the process of quantifying the risk value. The membership degree of the risk value is calculated using the basic principle of fuzzy logic, and the evaluation result is introduced into this part of the calculation to obtain an accurate evaluation level. The evaluation accuracy of the design system can reach up to 99%, and the detection time is as low as 5 s, which greatly improves the evaluation performance. The use of the design system is better than the evaluation system currently in use.