Published Paper Details:

Fake accounts are one of the significant problems on Instagram, which is used to spam users with unsolicited messages, advertisements, or links to malicious websites. It may be involved in various scams and fraudulent schemes, such as fake giveaways, investment scams, or online dating scams. And it may also be used to harass, intimidate, or bully individuals online. Such accounts directly affect the user's trust and enable a variety of harmful activities, including misinformation and fraud. Our research overcame all these problems and introduced a unique combination of web scraping and Selenium automation, as well as a fraud score generator. Users can input Instagram usernames, and the application gives profile data, including profile pictures, post counts, follower counts, and following counts. The algorithm initialized rate user function to assign the weights to these parameters and display the rating and comment variables. Based on the fraud score, it will categorize a given account into fake, real, and warning. This project serves as a valuable tool for users seeking to assess the credibility of Instagram accounts, providing a strong structure for authentication, analysis, and evaluation.