This machine learning project aimed at assessing public service officers' friendliness in real-time. Using models like MobileNet and SVM, it detects emotions such as happiness or anger from facial expressions. With datasets like KDEF and RAF-DB, this tool offers an efficient way to evaluate service quality through facial recognition.
machine-learning computer-vision transfer-learning public-service real-time-detection facial-expression-detection
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Updated
Sep 25, 2024 - Jupyter Notebook