What is -EmotionSense-AI-Multimodal-Human-Emotion-and-Stress-Detection-Using-Computer-Vision-and-NLP-?
-EmotionSense-AI-Multimodal-Human-Emotion-and-Stress-Detection-Using-Computer-Vision-and-NLP- is a coding that An AI-based system for real-time emotion and stress detection using computer vision and NLP.. It has a Nerq Trust Score of 57/100 (D). 70 GitHub stars. Published by Unknown. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 1/100 — Maintenance activity is low
- ⚠️ Community: 70 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What -EmotionSense-AI-Multimodal-Human-Emotion-and-Stress-Detection-Using-Computer-Vision-and-NLP- Does
-EmotionSense-AI-Multimodal-Human-Emotion-and-Stress-Detection-Using-Computer-Vision-and-NLP- is a tool in the coding category. An AI-based system for real-time emotion and stress detection using computer vision and NLP.. It is published by an independent developer and has no specified license. With 70 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use -EmotionSense-AI-Multimodal-Human-Emotion-and-Stress-Detection-Using-Computer-Vision-and-NLP-
-EmotionSense-AI-Multimodal-Human-Emotion-and-Stress-Detection-Using-Computer-Vision-and-NLP- is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | Unknown |
|---|---|
| Category | coding |
| License | Not specified |
| Type | tool |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 1/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=bavatharanivethamani-emotionsense-ai-multimodal-human-emotion-and-stress-detection-using-computer-vision-and-nlp
Setup guide · Full safety report · Production review · Is it safe?
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Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.