Implementation of AI/ML for Human Emotion Detection using Facial Recognition

Artificial Intelligence (AI) and Machine Learning (ML) have various important areas of work and research and emotion recognition is one of them. So, as to determine a human’s facial expression, the system or platform, should analyze and extract the assorted variations of human faces like Color, Shape, Expressions, Appearance, Orientation and Brightness etc. A huge number of algorithms and techniques have been computed and executed to do this thing, on various static or non-static, equal foundation, distinct postures, comparable expressions and non-partisan front face. The objectives of Facial emotion recognition are the scanning and extracting the data and accordingly giving accurate results in real-time. The proposed work is predicated on AI – ML, we will use FER-2013 dataset to train the model and we will use our own reference pictures to increase the accuracy, along with other libraries and skill-sets. Our target is to achieve accuracy above 90%. This proposed project detects the various emotions of human such as: Happy, Sad, Anger, Neutral and Surprise.