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GitHub / carlthecoder123123 / Realtime-emotion-detector

A deep learning-based system that detects facial expressions from webcam input and classifies them into seven emotions — Angry, Disgust, Fear, Happy, Neutral, Sad, and Surprise — using a CNN model and OpenCV for real-time face detection.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/carlthecoder123123%2FRealtime-emotion-detector

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 63.5 KB
Dependencies parsed at: Pending

Created at: 2 days ago
Updated at: 1 day ago
Pushed at: 1 day ago
Last synced at: 1 day ago

Topics: convolutional-neural-networks, data-structures, deep-learning, emotion-recognition, emotiondetection, firebasemlkit, kaggle-facialkeypoints, keras, keras-neural-networks, machine-learning, numpy, opencv-python, opencv3, tensorflow

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