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AI Voice Emotion Detection System

Detect human emotions in real-time using voice

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Hunted byBabur Shahbaz KhokharBabur Shahbaz Khokhar

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.

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About AI Voice Emotion Detection System on Product Hunt

Detect human emotions in real-time using voice

AI Voice Emotion Detection System was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #277 on the daily leaderboard. 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.

Who hunted AI Voice Emotion Detection System?

AI Voice Emotion Detection System was hunted by Babur Shahbaz Khokhar. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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