facial emotion recognition using CNN

  • Developed a real-time facial emotion recognition system:
    • Utilized Convolutional Neural Networks (CNN) to analyze video and predict emotions with 70% accuracy.
  • Extracted facial features:
    • Processed images and video frames using Python to capture essential facial features for emotion detection.
    • Trained the CNN model on emotion datasets to enable both static and real-time emotion prediction.
  • Accomplished real-time facial emotion analysis:
    • Implemented real-time emotion recognition through a webcam, analyzing live video streams.
    • Improved model accuracy by optimizing the CNN architecture and fine-tuning hyper-parameters, leading to enhanced performance in emotion prediction.