EngageTriBoost: Predictive Modeling of User Engagement in Digital Mental Health Intervention Using Explainable Machine Learning

Develop an explainable ML library for engagement prediction in mental health digital tools. The tool should focus on user dropout prediction and provide feature-level explanations for clinical interventions.

Suggested repo: engage-boost

"Understand why users leave your health app with explainable predictive modeling."

Estimated effort: 45h