The problem of personalized choice of a person's type of activity based on comparison with his emotional state at the current time is investigated. The hypothesis of the study is that choosing the most relevant type of activity in accordance with the emotional state at the current time will increase the effectiveness of professional activity in the long term. The results of a review of foreign and domestic sources in the field of developing decision support systems based on the use of emotional intelligence in professional activities are presented. A wide range of possibilities for using emotional intelligence in making rational decisions in professional activities and an insufficiently detailed study of the issues of recognizing and using the current emotional state to organize a competent approach to long-term activities determined the topic and purpose of the study. A generalized model of decision support in professional activities based on the use of emotional intelligence is proposed, designed to select the most appropriate activity from a planned list of long-term activities, depending on the current emotional state. To solve the problem of classifying emotional states based on images of people's faces, the FaceNet recognition model from the DeepFace library was used. To solve the problem of classifying activities of various types of activities from the planned list of long-term prospects by emotional states, an algorithm for building a decision tree was applied. The choice of the model and algorithm is determined by the high degree of accuracy of the solutions obtained. A program has been developed that allows automating the procedure for recognizing emotional states from photographs and recommending activities to select the most appropriate activity from a planned list of long-term events, depending on the current emotional state.

emotional intelligence, decision making, rational decision making, classification problem, image recognition.