This API utilizes a pre-trained model for emotion recognition from audio files. It accepts audio files as input, processes them using the pre-trained model, and returns the predicted emotion along with the confidence score. The API leverages the FastAPI framework for easy development and deployment.

A Federated Learning Method for Real-time Emotion State Classification from Multi-modal Streaming

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.

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.

Emotion Detection using Convolutional Neural Networks