Multimodal Detection of Depression Using Commercial Wearables: This project leverages recent public datasets containing Fitbit data labeled with mental health information. We aim to train deep learning models to identify depressive symptoms and combine these models with other sensor modalities, such as voice samples, to enable early detection of depression using only commercial devices.