Facial Emotional Recognition using Raspberry Pi

This facial emotion recognition project utilizes a Raspberry Pi for real-time analysis of facial expressions. Using a camera module, the system captures facial images, and a pre-trained deep learning model processes the data to classify emotions such as happiness, sadness, anger, etc. The Raspberry Pi’s GPIO pins are employed to trigger specific actions or display emotion labels. This compact and efficient system demonstrates the integration of edge computing and machine learning for emotion analysis in a portable setup.