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.
The Weibo User Depression Detection Dataset is a large-scale dataset for detecting depression in Weibo users. It includes user profiles, tweets, and labels indicating whether the user is depressed. The dataset is useful for researchers working on mental health and social media analysis.
The Emotional First Aid Raw Dataset is a collection of raw, unannotated psychological counseling Q&A data, designed to support research in AI applications for mental health. It contains over 172,000 topics with 2,381,273 messages, totaling 44,514,786 characters, providing a rich source of data for natural language processing and AI development.
Kimi k1.5 is an advanced multi-modal model trained with reinforcement learning (RL) that achieves state-of-the-art reasoning performance across multiple benchmarks and modalities. It outperforms existing models such as GPT-4o and Claude Sonnet 3.5 in short-CoT tasks by a large margin and matches OpenAI's o1 in long-CoT performance.