Soothe - Mental Health Web Application using React JS.

This repository is created to support the paper 'CAMS: An Annotated Corpus for Causal Analysis of Mental health on Social media' which is submitted to Language Resources and Evaluation Conference 2022 we introduce a new dataset for Causal Analysis of Mental health illness in Social media posts (CAMS). We first introduce the annotation schema for…

Looked at the presence of mental health disorders in the tech industry and what factors correlate to one’s mental health. A random forest model was used to predict the presence of a diagnosed mental health disorder with an 86% accuracy.

This repository contains the implementation of Enhanced Random Binary Multilevel Attention Network (ERBMA-Net), a novel framework for facial depression recognition. ERBMA-Net addresses key limitations in existing methods by introducing random binary convolutional filters for enhanced adaptability and multilevel attention mechanisms.

Zen Monke aims to fight the stigma against the topic and provide quick and simple resources to cope with life’s highs and lows.

Mental Health Disorder Analysis 🧠💙 uses data and AI 🤖 to predict anxiety trends, highlighting the impact of life expectancy, CO₂ emissions, and green spaces 🌿. Findings support nature-based therapies and research 🔬 for better well-being. 🌍💡

SWMH dataset extended with sentiment labels and 8 emotion labels

This github repository is related to a stress/anxiety monotoring system using physiological parameters and supervised machine learning.