Development and implementation of intelligent psychological counseling platform for college students based on deep learning algorithm

This paper realizes smart psychological consultation platform for college students based on deep learning algorithm, which realizes correct, time-to-time and personal mental health service through five modules of user management, psychological evaluation, intelligent dialogue, data analysis and personalized recommendation. The user management module protects the user data and the operation convenience; the psychological evaluation module realize high-accuracy psychological state prediction by using deep neural network; the intelligent dialogue module realize the users’ easy dialogue with natural language processing technology; the data analysis module deeply mining the data of user behavior and forming user portrait.and the personalized recommendation module offers personalized mental health resources based on hybrid recommendation algorithm. The platform adopts a micro-service architecture and containerization technology to promote cooperative and flexible extension. The result of the performance test indicates that the platform provides good performance in a high concurrent and a large volume of data environment, which verifies the stability and efficiency of the platform.