Gallery Image Classification

The issue of peripheral device space management is a pressing concern for everyday users who deal with massive amounts of media content obtained through social media applications. The content that is shared over the social media application can be important images such as notes, personal pictures like selfies, group pictures, etc., and along with these images, there are many unsolicited images shared that are directly stored in the device. These unsolicited/spam images not only consume storage space but also selecting them from all and then deleting them is a tedious process, sometimes by mistake, a user also deletes important images, which can consume a lot of time. This project aims to specifically detect and extract study notes, personal images & spam images separately and relocate them in three different folders, which will help to segregate the images. This will make searching for a particular image easier and save time and effort.