An emotion driven movie recommendation system.
Product Market Analysis is a software that allows Companies to receive reviews on their products from Beta Testers by using Deep Learning to detect facial expressions.
A website that performs facial emotion analysis on uploaded images using AI!
A implementation for facial expression recognition on fer2013 dataset using Residual Masking Network architecture
An Emotion Detector Using CNN
A Federated Learning Platform For Facial Expression Recognition using the Flower framework and FER2013 dataset.
Emotion detection using convolutional neural networks and the fer2013 dataset.
Face Detection and Emotion Recognition models to capture and interpret facial expressions
Implementations for facial expression recognition on fer2013 dataset using Capsule Network architectures
Emotion classifier implemented in pytorch
Detects the facial emotions using fer2013 datasets with a keras CNN model and openCV.
This project is a custom implementation of VGGNet trained to classify images of faces into 7 classes, representing different emotions.
AI based emotions and english fluency checking from the input video..
Facial Emotion Recognition Project: A custom ResNet18 implementation using Keras with Random Erasing data augmentation on the FER2013 dataset with FER+ annotation.
Este repositorio se enfoca en el desarrollo de un sistema basado en redes neuronales para detectar emociones en estudiantes universitarios en el Perú. El objetivo principal es mejorar la calidad de la educación y el rendimiento de los estudiantes al proporcionar información inteligente sobre sus emociones utilizando redes neuronales.
detect facial emotions of a given Image or of live video using Fer2013 data-set
A real-time application using Python and OpenCV for detecting and color-coding human emotions live via webcam. Utilizes the RMN model on FER-2013 dataset, made useful for user interaction.
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