Real-Time Facial Expression and Emotion Recognition using Computer Vision
This project involved building a real-time computer vision system to detect facial expressions and head movements for assistive communication. I used Google Cloud Vision API to perform facial detection and classify emotions for over 15 users. The system processed live camera input and achieved high accuracy in emotion recognition tasks. • Developed and validated facial expression and emotion detection methods • Processed live image and video feed for real-time inference • Applied Google Cloud Vision API for robust emotion recognition • Ensured high accuracy and responsive interaction for assistive use cases.