Predicting depression from acoustic features of speech using a Convolutional Neural Network.

A curated list of awesome mental health resources

The first asian machine learning in Jeju Island, South Korea - Project

😔 😞 😣 😖 😩 Detect depression on social media using the ssToT method introduced in our ASONAM 2017 paper titled "Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media"

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Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction (ICANN 2021)

Internet Delivered Treatment using Adaptive Technology

Healing self-talk through Node-based CLI

MoodSnap mood diary. A free mood diary app with analytics for iOS, made for everybody, written with features for people with mood disorders in mind.

A mental health quiz app to help individuals check in with themselves.

Depression Detection from Speech

Detect Depression from Social Network Using Deep learning

A Scraper that scrapes '#depression' tweets daily powered by GitHub action and snscrape (stopped at June 30,2023)

A visual representation of depressive thoughts.

Octahacks 3.0 - Team Coderaptors

Depression web app with text emotion/depression classification and personality/depression test using 4 deep learning models. Demonstrate end-to-end pipeline from training in Python to edge deployment in Typescript

Deep learning model of depression detection from activity sensor data

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This project develops a Depression Detection System using Machine Learning on Twitter data. It predicts depression by analyzing tweets with SVM, Logistic Regression, Decision Trees, and NLTK in Python.