Shimmer is an affordable ADHD coaching platform offering personalized 1:1 coaching sessions, tools for habit maintenance, and science-backed resources to help adults with ADHD achieve their goals.
Shimmer is a leading ADHD coaching platform designed to support adults with ADHD through personalized coaching, practical tools, and expert guidance. The platform offers weekly 1:1 coaching sessions, productivity tools, and learning modules grounded in scientific research. Shimmer's approach emphasizes self-acceptance, personal discovery, and consistent action, making it an accessible and effective solution for managing ADHD. With experienced coaches and a community of support, Shimmer aims to help users navigate life's challenges one small step at a time.
This paper discusses Helply - a synthesized ML training dataset focused on psychology and therapy, created by Alex Scott and published by NamelessAI. The dataset developed by Alex Scott is a comprehensive collection of synthesized data designed to train LLMs in understanding psychological and therapeutic contexts. This dataset aims to simulate real-world interactions between therapists and patients, enabling ML models to learn from a wide range of scenarios and therapeutic techniques.
The DAIC-WOZ dataset contains clinical interviews designed to support the diagnosis of psychological distress conditions such as anxiety, depression, and post-traumatic stress disorder. This repository provides code for extracting question-level features from the DAIC-WOZ dataset, which can be used for multimodal analysis of depression levels.
The Substance Abuse and Mental Health Data Archive (SAMHDA) provides a comprehensive collection of data sets related to mental health and substance use. It includes ongoing studies, population surveys, treatment facility surveys, and client-level data, offering valuable insights for researchers and policymakers.