Abstract
Face recognition system has gained a lot of interest because of its wide range of applications and business potential. Facial recognition system is a bit of technology that can match a person's face in a digital picture or video frame to a database of faces. Face detection, feature extraction, and face recognition are the 3 steps of facial recognition software. In image analysis, face detection is a challenging problem. It's now included in a multitude of fields, such as security systems, streaming video analysis, and other scientific innovations. Also, melody is really do have a deeper emotional bond than other forms of art. It possesses a one-of-a-kind ability to lift one's mood. This investigation, on the other hand, focuses on creating an excellent music recommendation system that leverages Facial Recognition methods to determine the user's mood. Music recommendation technique is an independent learning system that analyzes several users' playlists and makes suggestions for each user's specific playlist. This concept is built on user-to-user suggestions. The applied algorithm is OpenCV which is outperform existing systems. This would result in the saving of time and effort spent physically conducting the operation. The technique overall aim consists to identify swiftly suggest melodies based on facial expressions. The suggested process will have both advantages and disadvantages.
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Hamim, M., Tahseen, J., Hossain, K.M., Islam, M.S. (2023). Bangla Song Suggestion Using Face Detection. In: Vasant, P., Weber, GW., Marmolejo-Saucedo, J.A., Munapo, E., Thomas, J.J. (eds) Intelligent Computing & Optimization. ICO 2022. Lecture Notes in Networks and Systems, vol 569. Springer, Cham. https://doi.org/10.1007/978-3-031-19958-5_109
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