Machine Learning Based Cloud Music Application With Facial Recognition Using Android Studio (Musync)

Abstract

This paper output is a music player application but when it comes to its features it will be way more than a simple music player. It is developed on Android Studio and other tools like: Firebase is used as database, Android phone camera, Music library of Android Phone are used in the development of application. When user changes his phone or reset his phone then all of his data is lost or user has to put all the data in his computer and then back to his mobile phone except data that is backed up online. Message data, photos and contacts are that things that users backed up online. But music files normally don’t get backed up and user troubles in re downloading the files or moving files in computer and back to phone. In this purposed work the targeted problem is resolved as MUSYNC application is be able to automatically backup all the mp3 data from the phone and user will get all of his data by just signing in the application in his new phone. The purposed application has a feature of sync music. Users can sync music with another one and that person will able to listen to same music instantly. Application also provides a unique feature of mood detection using digital image processing DIP. This feature is able to check your face emotion and play music according to it. User just has to take a picture and that is it, this music player plays the music according to your mood. This feature is useful when user having tough time what to listen.

Financial Literacy of Financial Institutions in Bangladesh

“…The financial literacy scores were analyzed statistically to identify patterns and differences among institutions. Qualitative insights were carefully coded and categorized to extract key themes and implications Rubi et al, 2022;Suleiman et al, 2021;Shayery et al, 2022;Tayo-Ladega et al, 2021;Zohaib et al, 2022;Zofishan et al, 2021;.…”