About

This project builds an AI-powered user behavior intelligence system using real-world event data. The goal is to identify which users are likely to become highly engaged based on their interaction patterns.

We transformed raw event logs into user-level features such as total activity, feature usage (agent and canvas), and session behavior. Using these features, we trained a machine learning model to predict user success.