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Sentira AI is a real-time emotion detection system using Tri-Modal Neural Fusion. It processes acoustics, Whisper text, and RoBERTa semantics to detect "emotional masking." Unlike basic models, it accurately identifies high-energy accents often mislabeled as anger. Built with FastAPI and Docker, it offers near-zero latency and 99.33% accuracy. Sentira bridges the gap between how we sound and what we truly mean.
AI Voice Emotion Detection SystemDetect human emotions in real-time using voice
Babur Shahbaz Khokharleft a comment
Hi everyone! 👋 I built Sentira AI to solve a problem I saw in most emotion AI: they are easily fooled. Most systems only listen to tone, missing the actual meaning of the words—or vice-versa. I developed a Tri-Modal Neural Fusion system that processes acoustics (MFCC), transcription (Whisper), and deep semantics (RoBERTa) simultaneously. This allows the AI to detect "emotional masking" and...
AI Voice Emotion Detection SystemDetect human emotions in real-time using voice