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Face recognition technology has already a huge following due to its unlimited applications and values with huge market potential. It is being implemented in various fields like security systems, digital video processing, and many such technological advances. The song industry and other OTT applications are now blooming. After the introduction of applications like Spotify and other music applications, the revenue generated was at an all-time high during this pandemic. This paper aims to deliver a unique recommendation system that will be recommending songs depending on the mood of the people rather than depending on their past data alone. The prime goal of the work is to recommend songs using a deep learning-based approach and to identify facial emotion recognition. This idea can also be modified after the integration of the existing algorithms and methodologies to recommend songs and videos using …