Project description/goals

Detect the behavior patterns of Psychological problems in university students using Big Data and AI methods.

Importance/impact, challenges/pain points

Many students cannot adapt to life in university and suffer from Psychological problems, such as addiction to video games and depression. These problems have significant impacts to the students, and can lead to consequences such as drop-out and suicide.

Solution description

Detect the behavior patterns of Psychological problems in university students using Big Data and AI methods.

Key contribution/commercial implication

Build a machine learning model to predict game addiction, with a higher accuracy than the traditional method using GPA.

Next steps

Study the depression and eating disorder.

Team/contributors

Jianjun Zhou, Xiaotian Wang， Zhongtian Huang, Ken Chen, Haojian Li, Han Yang, Kaiyun Yang, Yajing Zhang, Junsong Lu