Real Time Facial Emotion Recognition Methods using Different Machine Learning Techniques

Artificial intelligence has faced a rapid growth and it has made a huge change in this world. In real time the traditional algorithm has go phut to reach the human demands. Due to this great success has been gained by machine and deep learning in many different implementations such as parameter classification system, output recommendation system, different pattern recognition, etc. The thoughts, behavior and feeling of a human can be determined by his/her emotions. By utilizing the characteristics of deep learning/machine learning and different methods such as input analysis, face unlocking, etc. A facial emotions recognition system can be built and can be implemented with good accuracy. The project mainly focuses on comparison of different available deep and machine learning algorithm and find different metrices like matrix, accuracy, estimated time, validation time, etc.