The purpose of the present study was to predict emotional intelligence based on the Prosocial Personality in people aged 16 to 56 living in Tehran during the COVID-19 era with descriptive and correlational methods. 92 people (43 women and 49 men) were selected from among the 16 to 56-year-old people living in Tehran during the COVID-19 period of 1400-1401 as the available sample. Data collection was in library and field. Research tools included emotional intelligence questionnaire (MSEIS) and Prosocial Personality (PSB). Due to the spread of the COVID-19 virus and to prevent the spread of the disease, relevant questionnaires were created through the Porsall system, and the link was provided to the participants for answering. The research data was analyzed using SPSS-26 software with two methods of descriptive statistics and inferential statistics. In descriptive statistics, mean, standard deviation, frequency tables and relevant charts were used, and in inferential statistics, according to the research method, regression and Pearson tests were used to check research hypotheses. The results of the regression test of the main hypothesis of emotional intelligence and Prosocial Personality are significant (r=0.000) and Prosocial Personality predicts 14% of emotional intelligence changes in people. Also, the sub-hypotheses of the research showed that there is a positive and significant relationship between emotional intelligence and its dimensions, including evaluation of emotions in oneself and others, regulation of emotions and perception and understanding of emotions with a Prosocial Personality with a probability of 99% (P<0.01).