Design and Implementation of a Chatbot System Integrated with Facial Expression Recognition

Different from those who desires to talk, those “empty-nest youth” who do not take the initiative to talk about their emotions still want someone to be with them, and interacting with them, give them some care, although they cannot talk about their emotions. In order to pay attention to the mental health status of this group of people and meet their inner demands, this paper first uses facial expression recognition technology to analyze users' emotions in real time. Then employs chatbot technology to intervene the user's mood through automated responses. In the process of realizing the chatbot function, MongoDB is introduced to store the sayings of chatbots with different emotions, and seven chatbots with different emotions are divided. In addition, MongoDB is used to store the scores of users' emotions, which can achieve the function of recording users' emotions. Finally, Django framework is used to realize the page of the web side, which can call all the functions of the system and achieve the effect of different interventions according to the user's emotions.