Abstract:

Artificial intelligence's quick development has made significant contributions to the field of technology. Machine learning and deep learning algorithms have had considerable success in various applications because older algorithms were unable to match human needs in real time. Systems for classification, recommendation, pattern recognition, etc. The influence of emotion on a person's thoughts, actions, and feelings is crucial. By exploiting the advantages of deep learning, an emotion detection system can be created, and many applications, including feedback analysis and face unlocking, may be executed with high accuracy. The primary goal of this research is to develop a Deep Convolutional Neural Network (DCNN) model that can categorise five distinct face expressions of human emotion. Using, the model is trained, examined and verified.

Description:

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