Fake Instagram Profile Detection

The rise of social media has brought challenges like fake accounts, hate speech, and fraud, with over 1.7 billion fraudulent profiles reported globally. On Instagram, the need for efficient fake account detection grows as its user base expands. Manual methods are inefficient, prompting the use of machine learning for automated detection. Our approach integrates supervised learning to analyze behavioral patterns and computer vision to examine profile images for inconsistencies. This multi-modal system combines both text and image data, enhancing the speed and accuracy of detecting fake accounts, ensuring better platform integrity.