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This project implements a Convolutional Neural Network (CNN) to detect emotions from facial expressions. It utilizes real-time video footage to classify emotions such as happiness, sadness, anger, surprise, and more. The system is designed to aid in understanding human emotions through advanced machine learning techniques.

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EmotionSense-CNN

This project implements a Convolutional Neural Network (CNN) to detect emotions from facial expressions. It utilizes real-time video footage to classify emotions such as happiness, sadness, anger, surprise, and more. The system is designed to aid in understanding human emotions through advanced machine learning techniques.

Dataset

The dataset used for this project can be downloaded from the following link: along with the data set, I've also attached the trained model file saved in emotion_model.h5

Download Dataset

Also in the requirements.txt file there is the list of all the libraries used in this project

About

This project implements a Convolutional Neural Network (CNN) to detect emotions from facial expressions. It utilizes real-time video footage to classify emotions such as happiness, sadness, anger, surprise, and more. The system is designed to aid in understanding human emotions through advanced machine learning techniques.

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1 watching

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