The app’s primary goal is to analyze human body language, facial micro-expressions, and voice tone patterns in real-time using the user's phone camera and microphone, and silently provide emotional state feedback to the user (without disturbing the flow )
This app will help users like socially anxious people, students, salespeople, daters, people with autism, teachers, and HR professionals to read emotional signals better during live conversations.
The app’s primary goal is to analyze human body language, facial micro-expressions, and voice tone patterns in real-time using the user's phone camera and microphone, and silently provide emotional state feedback to the user (without disturbing the flow of conversation).
This app will help users like socially anxious people, students, salespeople, daters, people with autism, teachers, and HR professionals to read emotional signals better during live conversations.
Core Features:
Real-Time Emotion Detection:
Access camera feed and microphone input.
Use AI models (OpenCV, TensorFlow Lite, or custom-trained emotion recognition models like DeepFace, Affectiva, or FaceAPI.js).
Detect emotional states like: Engaged, Bored, Angry, Nervous, Distracted, Lying.
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