College students’ mental health analysis relies heavily on health analysis applications, yet there is an issue with erroneous result assessment. It was illogical to use questionnaire analysis to determine college students’ mental health since it did not address the issue of health analysis application. Thus, in order to analyze the mental health of college students, this research suggests a neural network approach. First, college students’ health is assessed using neural network theory; indicators are then split according to the needs of the health analysis application in order to lower their overall number. Distractions in health analytic applications. After that, we take a look at how college students’ mental health is examined using neural network theory, develop a plan for applying health analysis, and last, apply the plan and analyze the findings thoroughly. Neural network techniques are useful for college students, according to MATLAB simulations, given certain assessment criteria. When compared to questionnaire analysis, health analysis provided more accurate results and took less time to apply to college students’ psychological well-being.