Fake Profile Identification and Classification Using Machine Learning

Abstract-This paper details the design and implementation of Social media platforms are essential for communication today, allowing people to connect, share, and interact. However, the rise of fake profiles on sites like Instagram creates significant challenges related to user privacy, security, and trust. This research proposes a new approach to identify and classify these fake profiles using machine learning techniques. The findings contribute to ongoing efforts to combat fake accounts, promoting a safer and more trustworthy online environment. By leveraging machine learning and a thorough set of features, the model shows promising results in detecting and categorizing fake profiles. This research also opens up opportunities for further exploration, such as integrating different data sources and adapting the model for use on other social media platforms.