Our Technology
How Anasa AI detects emotions and provides support when you need it most
Our NLP AI model analyzes text in real-time as users type, detecting emotional patterns and sentiment to identify potential distress signals.
Using OpenCV, we analyze facial expressions through your webcam to detect emotional cues like furrowed brows, downturned mouth, and other indicators of stress or sadness.
Our AI combines both text and facial analysis inputs to accurately determine if a user is experiencing negative emotions like anger or sadness, triggering supportive interventions.
How It Works
Anasa AI uses a sophisticated dual-input system to accurately detect your emotional state:
- 1Our NLP AI model reads text that you're typing in your browser, analyzing patterns that indicate different emotional states.
- 2Simultaneously, our facial analysis system uses OpenCV to detect subtle facial expressions that correlate with emotions.
- 3These inputs are combined and processed to determine if you're experiencing anger or sadness.
- 4When negative emotions are detected, Anasa AI provides timely, supportive interventions to help you manage your emotional state.
Mental Stats
The latest data on mental health and technology usage in 2024
of U.S. adults use the internet daily (Pew Research, 2024)
of Gen Z reported feeling anxious during online activities (APA, 2024)
accuracy in facial emotion detection models (MIT Tech Review, 2023)
adults experience a mental health issue each year (NAMI, 2024)
44% of Gen Z reported feeling anxious or stressed during online activities (APA, 2024)