Ensemble-Based Multimodal Analysis for Depression Detection

Depression is a widespread mental health disorder that affects individuals globally; it can be detected using traditional methods as well as advanced technological approaches.The study works on various modalities and methods, like textual, audio, and visual modalities, as well as advanced techniques.This study includes research methodology for depression detection using a multimodal dataset containing textual, audio, and visual modalities.The study also consists of clustering and classifying audio and visual modality features.The proposed system incorporates the 'Ensemble