PokaMind is an advanced AI-powered platform for leadership development, offering personalized training and employee well-being solutions.
PokaMind revolutionizes workplace dynamics by combining AI-powered leadership development with real-time analytics and continuous learning. The platform uses multi-modal AI to analyze data such as gaze, facial expressions, speech, and environmental context, providing accurate insights into the user's mental state. It offers personalized AI role-play scenarios for managers, real-time well-being analytics through a Chrome extension, and continuous development support to enhance leadership skills and employee well-being.
This project implements the conversion algorithm from the ToMi dataset to the T4D (Thinking is for Doing) dataset, as introduced in the paper https://arxiv.org/abs/2310.03051. It filters examples with Theory of Mind (ToM) questions and adapts the algorithm to account for second-order false beliefs.
Remy AI is a sleep and health coach app that uses science-backed methods to improve sleep quality and overall well-being through personalized recommendations and habit-building.
This dataset contains survey responses from individuals in the tech industry about their mental health, including questions about treatment, workplace resources, and attitudes towards discussing mental health in the workplace. By analyzing this dataset, we can better understand how prevalent mental health issues are among those who work in the tech sector—and what kinds of resources they rely upon to find help—so that more can be done to create a healthier working environment for all.