Abstract
The current state of human mental health is considered and its content is defined. It describes a program that you install on your gadget to stabilize your mental health. A review and comparison of existing analogues of the mental state support application was carried out, a description of the system and algorithms used to create the mental state support application: speech recognition, dynamic time transformation, artificial neural networks, hidden Markov models, the final speech recognition algorithm. Analysis of affordability is also important, because it affects the possibility of using applications by a wide range of users. a description of the system and algorithms used to create an application for mental state support is presented. The proposed technologies are intertwined with a deep understanding of the human psyche in the context of creating an application for mental stabilization. For further development, you can improve the quality of the theory presented in the application, the speed and efficiency of artificial intelligence, and also constantly add new functions to the application.
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