Sentimental_analysis

Real-time Engagement & Emotion Detection using OpenCV, Mediapipe, and DeepFace. This project tracks posture and torso movement to estimate engagement levels while simultaneously analyzing facial emotions with DeepFace. The system provides real-time feedback with engagement percentage and emotion labels displayed on the webcam feed.

Engagement + Emotion Detection

This project combines pose estimation and facial emotion recognition to estimate a user's engagement level in real-time using a webcam.

🚀 Features

• Pose-based engagement detection
  • Uses Mediapipe Pose landmarks.
  • Calculates posture score (shoulders vs hips).
  • Detects torso movement for engagement estimation.
• Emotion detection
  • Uses DeepFace to recognize the dominant emotion.
• Real-time visualization
  • Engagement percentage and emotion labels displayed on webcam feed.

🛠️ Requirements

• Python 3.8+
• Webcam

Install dependencies:

pip install -r requirements.txt