The purpose of this project is to create a machine learning model that is capable of detecting fraudulent accounts and to integrate the ML model into an application. The application aims to highlight a conceptual model for the recognition of fraudulent accounts.

FakeFind: A social media detection project employing ML to discern fake accounts by analyzing profile data, username attributes, and activity metrics.

ML pipeline for detecting fake social media accounts using ensemble methods. Includes Gradient Boosting, Random Forest, XGBoost, and an interactive Streamlit web app for real-time predictions.