Facial Expression Tracker
The Facial Expression Tracker is a real-time web-based application that uses your webcam to detect your facial expressions and display their probabilities. Built with face-api.js and TensorFlow.js, it leverages deep learning models to identify expressions like:
😀 Happy
😐 Neutral
😢 Sad
😠 Angry
😲 Surprised
A VERY INTERESTING PROJECT ... hahahahaha funny
share your experience and connect with me 🥰
Features: Real-time facial expression detection using webcam Live visual feedback with expression percentages Highlights the dominant expression Responsive and clean UI design
Technologies Used: HTML, CSS, JavaScript face-api.js TensorFlow.js Browser-based webcam access
How It Works: Loads pre-trained face detection and expression recognition models. Accesses your webcam via browser (you must allow camera access). Detects your face and landmarks in real-time. Displays expression confidence levels in a user-friendly dashboard. Make sure to use Google Chrome or a browser that supports getUserMedia. Webcam access works best over HTTPS or on localhost
pushing all code through html file, as i found this much easy to do it rather than creating lots of files, why not create one? yuppp, i did this all in one file only upto you guys.. if you're comfortable with creating different files and writing each models seperately so YESSS you can
THANK YOU SO MUCH!! will see you soon with another interesting project