A curated list of facial expression recognition in both 7-emotion classification and affect estimation.

Facial Emotion Recognition using OpenCV and Deepface

Moodify is a Flask-based web application that seamlessly integrates facial emotion recognition (FER) with personalized music recommendations.

EfficientNetV2 (Efficientnetv2-b2) and quantization int8 and fp32 (QAT and PTQ) on CK+ dataset . fine-tuning, augmentation, solving imbalanced dataset, etc.

Ad-Corre: Adaptive Correlation-Based Loss for Facial Expression Recognition in the Wild

Analysis of Elicited and Acted Emotional Expressions in PEDFE

This project was a collaborative effort completed for a university course titled, "Making People Understand Facial Recognition Technologies: Building an AI Application as Didactic Tool".

Facial Emotion Recognition is a deep learning project focused on classifying facial expressions into different emotions. The project utilizes convolutional neural networks (CNNs) and is implemented using Keras.

🔭 Real-time Streamlit Facial Emotion Recognition web application to monitor student's mood in a classroom

Facial emotion recognition by using convolutional neural network (CNN)

This is a web application that takes different kind of inputs(real-time, image, video) from the user and display the emotion based on the facial expressions.

Emotion recognition with the FER-2013 Dataset

Model built using Python, Tensorflow, and Keras, that can accurately predict the emotion on a human face in an image.

A set of Google colab notebooks with my work on data analysis

Facial Recognition software using AWS EC2 , AWS-Rekognition and a Telegram bot

This project is a basic emotion recognition system that combines OpenAI's GPT API and a deep learning model trained on the FER2013 dataset. It detects facial emotions in real-time from a webcam feed and generates AI responses based on the user's emotion. The project is implemented using TensorFlow, OpenCV, and OpenAI's API

Screen mode eye and face tracking for VRChat

Multi-modal Human Emotion Recognition of speech clips (audio + video) contained in RAVDESS dataset using a two stream architecture

Facial emotion recognition is a very basic project in machine learning. It is very helpful for beginners to learn from here. I have did it as simple as it can be. I have added description of all the code lines I used. I used most of libraries of machine learning and I have used a large data set. i have used web cam to get the emotions of any face .