https://github.com/keshav479/realtime_emotion_detection

The real-time emotion detection system built using TensorFlow and Convolutional Neural Networks (CNN). The model was trained on a dataset of images to classify human emotions and achieves an accuracy of 56%. It processes live video feeds to dynamically detect and categorise facial expressions in real time
https://github.com/keshav479/realtime_emotion_detection

convolutional-neural-networks jupyter-notebook kaggle python tensorflow

Last synced: 5 months ago
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The real-time emotion detection system built using TensorFlow and Convolutional Neural Networks (CNN). The model was trained on a dataset of images to classify human emotions and achieves an accuracy of 56%. It processes live video feeds to dynamically detect and categorise facial expressions in real time

• Host: GitHub
• URL: https://github.com/keshav479/realtime_emotion_detection
• Owner: keshav479
• Created: 2024-08-14T22:47:19.000Z (almost 2 years ago)
• Default Branch: master
• Last Pushed: 2024-08-15T11:58:19.000Z (almost 2 years ago)
• Last Synced: 2025-06-01T21:47:45.737Z (about 1 year ago)
• Topics: convolutional-neural-networks, jupyter-notebook, kaggle, python, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 96.6 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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