The aim of this paper is to find common themes and patterns among many studies, such as the difficulties in precisely simulating human emotions, the moral ramifications of using emotional AI in practical contexts, and the possibility of bias in AI-driven emotional recognition. In addition, the evaluation will look at data privacy issues, technological limitations, and the wider social effects of emotional AI. With a focus on both its potential and its notable limits, this study will offer a comprehensive view of the current level of emotional AI. The present research paper intends to a better understanding of the areas where emotional AI falls short and provide insights into areas that need more investigation and development by methodically synthesizing the corpus of available knowledge based on extensive Systematic Literature Review (SLR).