Assessing individuals’ psychological states is one of the most important research areas in psychology and artificial intelligence, as researchers aim to develop systems capable of understanding emotions and mental tendencies accurately without relying on long traditional questionnaires or continuous manual evaluation. The intelligent system relies on analyzing facial expressions using deep learning and neural networks, which allow the recognition of subtle muscle movements and minor changes in facial features that reflect a person’s internal emotions. These networks are trained on large datasets containing images and videos of people expressing various emotions, enabling the algorithms to distinguish between sadness, happiness, anger, anxiety, and fear, as well as complex mixed emotional states. Eye movement analysis, changes in voice tone, and accompanying gestures are also integrated to enhance the accuracy of the assessment, making the system more realistic and comparable to human evaluation. The system can be applied in multiple environments such as schools, universities, and workplaces to support mental health, detect early signs of stress or psychological pressure among students or employees, and provide early alerts that help specialists intervene before problems escalate. Additionally, the system contributes to developing smart applications that allow individuals to monitor their psychological states periodically and improve self-awareness, thereby enhancing coping mechanisms for daily life pressures. Technically, using deep neural networks improves the system’s ability to handle variations in age, gender, and culture, making it versatile and generalizable across different populations. While this technology offers great opportunities for enhancing mental health, it also raises ethical challenges related to privacy and data protection, requiring strict protocols to ensure safe and responsible use. Overall, this intelligent system exemplifies the ability of artificial intelligence to improve individuals’ quality of life by providing precise and objective psychological assessment, representing a promising future for AI applications in health and social domains, with the potential for integration into educational, professional, or therapeutic programs to promote psychological support and overall community well-being.