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| 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. | |