Identifying Fake Apps on Google Play Store Through Text Analysis: Leveraging Natural Language Processing for App Safety

An overwhelming number of brand-new, portable Android applications have just been released. Consequently, the typical user finds it a difficult task to ensure the safety of the programs they install on their mobile device. Our web crawler collects data from the applications and stores it in a database. The shows are then grouped into categories based on how well they have done. In response to an inquiry, the recommended Android app updates the Google Play Store with a list of apps rated according to their level of security. App security concerns are amplified by factors such as the app's popularity and the user permissions it requests. The goal of this endeavor is to develop exactly a recommendation system while keeping user involvement and security in mind.