TAWNY's Emotion Analytics Platform employs advanced AI algorithms to decode complex human affective states and behaviors. This intuitive, web-based software requires no prior experience in emotion science and provides detailed, moment-by-moment emotional data for each participant. The platform is equipped to handle various perspectives using just a standard camera, eliminating the need for complicated lab setups. It is ideal for those interested in obtaining deep insights into human emotions and behaviors in real-life scenarios, without being hindered by technical barriers.

GettingTheFeels is a Python-based AI agent designed to detect and quantify emotions within any text input. By using OpenAI’s GPT-4 or GPT-3.5 models, it breaks down text into categories like joy, sadness, anger, fear, surprise, and more, assigning real-time sentiment percentages. The agent outputs machine-readable JSON with detailed emotion scores, supports custom model selection, threshold settings, and integrates via simple API calls or function imports. It enables developers to embed advanced emotional insight into chatbots, customer support tools, social media monitors, and user feedback platforms with minimal setup.