Students Emotion Analysis And Prediction Using Raspberry Pi
Keyur Padmane
Student Emotions Analysis and Prediction using Raspberry Pi is an innovative embedded system designed to monitor and forecast students’ emotional states in real-time educational settings. By integrating affordable hardware like the Raspberry Pi with computer vision techniques, the system captures facial expressions to identify emotions such as happiness, stress, boredom, or frustration, enabling proactive interventions to enhance learning outcomes