Often, humans interact using facial expressions that can reveal emotions as evidence of whether someone is telling the truth or not. This research aims to help identify a person's expressions, such as silence, laughter, and smiling. Research using quantitative methods with Android Studio applications and real-time machine learning, displaying accuracy parameters on expressions. The results show the success of the application in detecting facial expressions and displaying accuracy parameters for expressions such as wide-eyed, closed eyes, smile, neutral, and laughter in real-time.
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