Intelligent Algorithms and Real-Time Monitoring Systems in Social and Psychological Crisis Intervention

In recent years, with the acceleration of social pace and the increase of competitive pressure, people’s mental health problems have become increasingly prominent, and psychological crises have occurred frequently, posing a serious threat to social stability and personal well-being. Psychological crisis, as a serious state of psychological imbalance, not only affects an individual’s quality of life, but may also trigger a series of social problems. Therefore, how to effectively prevent and guide psychological crises has become an urgent problem to be solved in current social psychological crisis intervention work. This article proposes a real-time monitoring system for social and psychological crisis intervention. This system is based on advanced machine learning (ML) algorithms and can capture and analyze individual psychological changes in real time, providing timely and effective support for psychological crisis intervention. This system integrates multiple technologies such as big data analysis, natural language processing, and emotional computing. By deeply mining text information on social media, online forums, and other platforms, it can accurately identify potential psychological crisis signals. The experimental results indicate that through real-time monitoring and data analysis, the system can promptly identify potential individuals with psychological crises and provide them with personalized psychological assistance.