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This repository demonstrates an end-to-end pipeline for real-time Facial emotion recognition application through full-stack development. The frontend is developed in react.js and the backend is developed in FastAPI. The emotion prediction model is built with Tensorflow Keras, and for real-time face detection with animation on the frontend, Tenso…
A bright and colorful game using facial recognition and emotion detection AI to have fun making faces! Entertaining for all types, and especially useful for people with autism and/or asperger's to learn and practice emotional recognition.
This project uses TensorFlow.js and React to detect emotions in real-time using a webcam. It loads a pre-trained model and uses it to classify emotions based on facial expressions.
Humans have an ability to recognize and distinguish between faces. Now computers are able to do the same with the help of AI system! So what does this website do? Emotion Detection can classifying the emotion on your facial expression as happy, angry, sad, neutral, surprise, disgust or fear. Try yours by checking the camera below or upload your pic
Netai-Social is a social media application built with Flask, React, and MongoDB. It includes sentiment analysis and emotion detection features using natural language processing (NLP) models.
This is a simple web-based application that detects emotions from video feeds or images using face-api.js. It leverages pre-trained deep learning models to analyze facial expressions and categorize them into emotions such as happy, sad, surprised, angry, and more.