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Real-time Smile Detection using Integrated ML Model

This study investigates the ways to provide unhindered entertainment solutions to artists and common people. The research has led to the conclusion that a new social media platform can be built for artists around the globe. The aim of the study is to merge video conferencing features with face detection and smile detection machine learning algorithms to provide an interactive environment to audience virtually over Internet. The findings of the study suggest that people from different age groups and places can find the comedy shows of common interests for enjoyment. The project can be launched as application to build a worldwide community of comedians. The paper is intended to provide a fast and efficient Machine learning model to detect smiling faces in real time environment with low latency and high accuracy. The comparison between some smile detection models is done among which our model has proven to be more effective than 2 pre-existing models with accuracy score of 91.97%. Although the accuracy of this model is less than other one having 94.87% accuracy.