Winner of Mozilla's $50,000 prize for AI

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…

👹 Emotion recognition in Node.js

🤖 Face expression recognition created with face-api.js

Implementation of visualisations presented in the paper ‘Conceiving Human Interaction by Visualising Depth Data of Head Pose Changes and Emotion Recognition via Facial Expressions’

Out-of-the-box text emotion / sentiment analysis application, supports Chinese and English.

Clone of the Rainbrow iOS game in JavaScript

Web app developed in hackNY to which you send a photo of a face via the site or MMS and it sends back a GIF with the appropriate emotion.

In order to complete the process of recognising four universal dominant facial expressions (happiness, anger, sadness and surprise), emotion recognition via facial expressions (ERFE) was adopted

This is a realtime emotion reader webapp which uses your webcam and shows you a smiley of the emotion that you project.

Emotion Recognition Project Adapted in HTML/Javascript/CSS with Tensorflowjs

Find what emotion are someone felling with this app 😊

Web app in Django for multimodal emotion recognition using neural networks

🎭 This is the Backend of E.M.M.A.

An interactive experience where users can reconnect with their peers through their emotions, to enable speculation around the theme of sentient algorithms.

facial emotion recognition used in a website made with react

Developed a face and emotion recognition Webapp using Machine Learning.

This repo hold the code of a simple, fun game built using Affectiva's Emotion-as-a-Service API. An Emoji is shown on the screen and one has to mimic the emoji to score points.

Identifying and categorizing opinions , emotions, and attitudes of movie reviews within textual data.