The Happiness Detector is a computer vision project that uses OpenCV and Haar cascades to detect smiles in real-time using a webcam. It aims to identify and provide feedback when a person smiles. The project involves:

• Face detection: The system first detects faces in the camera feed using a Haar cascade classifier.
• Smile detection: Once a face is detected, the system focuses on the region of interest (ROI) around the mouth and identifies whether a smile is present.
• Visual feedback: The project provides visual feedback when a smile is detected, indicating that the person is happy.