---
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.

## Upload Trick to HG

git lfs track "_.dat" && git lfs track "_.pt" && git add .gitattributes && git add assets/models/shape_predictor_68_face_landmarks.dat && git add assets/models/FER_dinamic_LSTM_IEMOCAP.pt && git add assets/models/FER_static_ResNet50_AffectNet.pt && git commit -m 'bigfiles' && git push origin main --force

git add . && git commit -m 'pre-launch' && git push