A multi-modal conversational therapy engine leveraging large language models to detect voice- and text-based affect for nuanced signals of emotional distress.
Evidence-based coping strategies and long-term personalized resilience coaching to address anxiety and emotional distress.
The context aware cognitive behavioral therapy micro-intervention triangulates stress indicators from wearable signals and user feedback.
Bite-size mindfulness exercises and cognitive restructuring sessions interrupt negative thought loops in the moment.
Sync scent with physiology using AI-driven integration of key wellness indicators, including heart rate variability, sleep quality, and emotional state analysis.
The olfactory knowledge base suggests essential oil blends to support mood-boosting and relaxation interventions tailored to individual well-being status.