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A Django project which can detect facial emotions in real time (happy, sad, neutral, angry, fear, surprise). Implement using opencv library (cv2) and Deep Face library (deepface).

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Emotions Detector Realtime using Django and DeepFace

This is an emotion detection web application built using Django, OpenCV, and the DeepFace library. The application captures real-time video using the webcam, detects faces in the video feed, and analyzes the emotions of the detected faces in real-time.

Technologies Used

  • Django: The web framework used to build the application.
  • OpenCV: For real-time face detection.
  • DeepFace: For emotion recognition.
  • HTML/CSS/JS: For the frontend.

Installation

Prerequisites:

  • Python
  • Django
  • OpenCV
  • DeepFace

Demo:

demo.mp4

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A Django project which can detect facial emotions in real time (happy, sad, neutral, angry, fear, surprise). Implement using opencv library (cv2) and Deep Face library (deepface).

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