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https://github.com/zakirangwala/emotion-classifier
The model classifies seven emotions: Anger, Contempt, Disgust, Fear, Sadness, Happy, and Surprise, using an ensemble of pre-trained VGG16, ResNet50, and InceptionV3 models. For a demonstration, refer to app.py, which constructs a Gradio app and integrates with Spotify to offer playlists tailored to each detected emotion.
https://github.com/zakirangwala/emotion-classifier
artificial-intelligence gradio jupyter-notebook keras opencv python tensorflow
Last synced: about 1 month ago
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The model classifies seven emotions: Anger, Contempt, Disgust, Fear, Sadness, Happy, and Surprise, using an ensemble of pre-trained VGG16, ResNet50, and InceptionV3 models. For a demonstration, refer to app.py, which constructs a Gradio app and integrates with Spotify to offer playlists tailored to each detected emotion.
- Host: GitHub
- URL: https://github.com/zakirangwala/emotion-classifier
- Owner: zakirangwala
- License: mit
- Fork: true (Ved204/CP468-Facial-Recognition)
- Created: 2024-08-03T01:31:52.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-08-07T19:56:50.000Z (3 months ago)
- Last Synced: 2024-09-23T07:31:26.586Z (about 2 months ago)
- Topics: artificial-intelligence, gradio, jupyter-notebook, keras, opencv, python, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 227 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0