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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.