Face expression detection with face-api

A real-time facial emotion recognition system using DenseNet121 CNN, detecting emotions like happy, sad, angry, and surprise from webcam or image input. The system maps emotions to emojis, enhancing interaction. Built with TensorFlow, Keras, and OpenCV, this project showcases deep learning in human-computer interaction.

PERSONALISED AI ASSISTANT - IRIS is an AI personal assistant designed as a companion with whom a person can share their emotions and feelings with. IRIS can reply with an appropriate response to help a person cope with their situation better.

Facial Expression Recognition System using YOLOv9 & Flask. Detects 5 emotions (Angry, Happy, Natural, Sad, Surprised) from images/live camera with mAP50 of 0.731. Features a web interface with file uploads, real-time processing, & emoji feedback. Built with Python, OpenCV, Flask, HTML/CSS/JS. Ideal for HCI & emotion analysis.

🧠 Recognize facial emotions using deep learning with Keras and TensorFlow, featuring CNN training, data preprocessing, and visualization tools.

Face Emotion Detection using CNN

Real time emotion recognition, using OpenCV and haarcascade algorithm for face detection from the video source, then I've done emotion recognition using a model trained on FER-2013 dataset with Tensorflow. and also as an other solution, I used DeepFace package for emotion recognition as a prefabricated solution.

Build a full stack application with object-face-emotion recognition

Face Detection and Emotion Recognition models to capture and interpret facial expressions

Built a real time system which is able to capture facial emotions of a person and classify human faces in real time into a fixed number of emotions. Trained a CNN to identify whether the face is happy, angry, sad, surprised etc.

CMP5103 - Artificial Intelligence - Emotion Recognition & Report

Facial Emotion Recognition (FER) is a computer vision task aimed at identifying and categorizing emotional expressions depicted on a human face. The goal is to automate the process of determining emotions in real-time, by analyzing the various features of a face.

Facial emotion recognition (FER) using convolutional neural networks

FaceEmotionRecognition derived by lampadovnikita's archive. An Android application performing recognition of facial emotions on an image.

Recognising facial emotions using a library from pytorch

Face emotion recognition technology detects emotions and mood patterns invoked in human faces. This technology is used as a sentiment analysis tool to identify the six universal expressions, namely, happiness, sadness, anger, surprise, fear and disgust. Identifying facial expressions has a wide range of applications in human social interaction d…

This web app uses face-api to detect face using webcam live video feed.

Face Emotion Recognition using FER2013 dataset. Test accuracy: 69.35%

Building and testing several models for real-time facial emotion recognition.