What is Cognitive Apps?
Cognitive Apps provides an AI-enabled API designed to analyze mental health indicators from user-provided data. This technology integrates into existing workflows, scanning voice samples (minimum 5 seconds) or text messages (minimum 100 symbols) to detect emotions, mood, stress levels, exhaustion, and overall mental state. It can also incorporate physical health data from platforms like Health Kit and Google Fit.
By leveraging these insights, businesses can enhance their products and services to better align with customer expectations. This capability allows for personalization driven by real-time mood and mental health analysis, aiming to improve user experiences and potentially influence purchasing decisions by enriching customer profiles and enabling more tailored interactions.
Features
- Voice Tone Analysis: Analyzes vocal characteristics to infer emotional states.
- Context Analysis: Examines text content to understand the context of expressed emotions.
- Emotion Detection: Identifies specific emotions present in voice or text data.
- Mood Detection: Determines the overall mood based on analyzed data.
- Mental Health Level Assessment: Provides an analysis of the user's mental health state.
- Historical Data Tracking: Stores and allows analysis of emotional and mental health trends over time.
- API Integration: Allows seamless integration into existing applications and workflows.
- Multi-Source Data Input: Accepts voice samples, text messages, and physical health data (Health Kit, Google Fit).
Use Cases
- Enhance application functionality with mental health analysis features.
- Personalize marketing offers and user experiences based on real-time mood data.
- Analyze candidate emotions and patterns for psychological profiling in recruitment.
- Improve user experience (UX) through emotion-driven personalization.
Helpful for people in the following professions
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