Real-Time Emotion Classification from Facial Expressions
Published:
Developed a system to perform real-time emotion classification from a live webcam feed. I trained a custom deep learning model on facial expression data to achieve high-accuracy classification. The model was integrated into a user-friendly web interface, served by a Flask backend that uses OpenCV for image processing. This project demonstrates skills in computer vision, model deployment, and front-end integration.
Tech Stack: Python, TensorFlow, OpenCV, Flask, JavaScript, HTML, CSS, Git.
