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September 5, 2025International Journal Of Recent Trends In Multidisciplinary Research

Stress Detection Using Text Analysis and Facial Recognition

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Authors

NNNoorun Nehar

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Overview

Research proposes an AI tool combining text analysis and facial recognition for stress detection, suggesting improved accuracy.

Key Points

  • The dual-modality system significantly enhances stress detection accuracy compared to traditional methods.
  • Utilizing cnn and lstm models, the system analyzes text and video inputs to detect stress levels effectively.
  • Implemented with Python, TensorFlow, and OpenCV, the model offers real-time user interaction through an interactive interface.
  • This system holds promise for proactive mental health monitoring in healthcare, education, and corporate settings.

Cite This Study

Noorun Nehar (2025) studied this question.

synapsesocial.com/papers/68bb46bd6d6d5674bccfe9dchttps://doi.org/10.59256/ijrtmr.20250504007
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