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metadata
title: Multi-Modal for Emotion and Sentiment Analysis (MMESA)
emoji: 😀😲😐😥🥴😱😡
colorFrom: blue
colorTo: pink
sdk: gradio
sdk_version: 4.24.0
app_file: app.py
pinned: false
license: mit
short_description: A tool to detect Stress, Anxiety and Depression

Technologies

This project utilizes various Python scripts for different aspects of analysis and recognition:

  • blink_detection.py: Detects and analyzes blinking patterns.
  • body_movement_analysis.py: Analyzes body movements.
  • emotion_analysis.py: Analyzes emotional states.
  • face_expressions.py: Recognizes facial expressions.
  • FACS_analysis_sad.py: Performs Facial Action Coding System analysis for sadness.
  • gaze_estimation.py: Estimates gaze direction.
  • head_posture_detection.py: Detects head posture.
  • heart_rate_variability.py: Analyzes heart rate variability.
  • posture_analysis.py: Analyzes posture.
  • roberta_chatbot.py: Chatbot using the RoBERTa model.
  • sentiment_analysis.py: Performs sentiment analysis.
  • skin_analysis.py: Analyzes skin conditions.
  • sleep_quality.py: Evaluates sleep quality.
  • speech_emotion_recognition.py: Recognizes emotions from speech.
  • speech_stress_analysis.py: Analyzes stress levels from speech.

These scripts combine to provide comprehensive analysis capabilities for various aspects of human behavior and physiology.