LiveChatEmotionizer is a real-time emotion recognition system that leverages computer vision and machine learning to detect facial emotions via webcam. It provides interactive feedback through charts and chatbot responses, all wrapped in a user-friendly GUI.
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Real-time Emotion Detection
Uses FER (Face Emotion Recognition) to identify emotions:
Anger, Disgust, Fear, Happiness, Sadness, Surprise, Neutral -
🎥 Video Recording
Captures webcam feed and saves it asemotion_video.avi. -
📊 Live Emotion Chart
Displays a continuously updating bar chart using Matplotlib to visualize emotional trends. -
🗣️ Interactive Chatbot
Users can input text via a Tkinter window and receive chatbot responses based on current emotion stats.
Make sure the following packages are installed:
- Python 3.x
- OpenCV
- Matplotlib
- NumPy
- Pandas
- Imageio
- FER (Face Emotion Recognition)
- Tkinter
- Ollama (for chatbot integration)
Ready to detect feelings in frames and give your webcam a sixth sense? Let me know if you want help writing a README, adding screenshots, or optimizing performance. I’m all in!