Okes2024/Predicting-Depression-from-Social-Media-Activity

This project uses synthetic social media data to model and predict depression risk through machine learning. It combines behavioral patterns and text-based features, trains classification models, and evaluates performance with metrics and visualizations. Intended for research, learning, and experimentation, not clinical application.