Recommendations of Smartphone Applications According to Customer Reviews and Capabilities

There are a plethora of new Android portable apps available now. As a result, making sure the apps you install on your mobile device are safe is a daunting undertaking for the average user. This study provides a popular and secure mobile App with a recommendation system to streamline the process. The design focus is on making recommendations for mobile apps by gauging their popularity and potential security issues. To index the apps and save the information in a database, a web crawler is employed. The programs are then sorted into groups according to their popularity and ratings. The suggested Android app provides a list of applications from the Google Play Store along with their respective security ratings whenever a query is executed. How popular an app is and what permissions it requires from the user significantly increase the app's potential security risks. This work aims to create such a recommendation system without sacrificing security or user engagement.