fake-profile-detection

This repository contains project source code for 18CSC305J - Artificial Intelligence - Instagram Fake Profile Detection

Machine learning models for identifying real-time fake profiles on Twitter

AI-powered web application that detects suspicious social media profiles from screenshots using OCR, Random Forest Machine Learning, OpenCV, and Flask, providing trust scores, bot probability, analytics, and cybersecurity insights.

This work is done to show that how word embedding techniques are used in identifying fake profiles.

Investigator dashboard for detecting and reporting fake social media profiles — ML classifier + LLM content analysis + investigator UI. Frontend complete; backend/model integration in progress.

A machine learning project that detects fake social media profiles using Neural Network, Random Forest, and SVM classifiers.

Exemples de cas OSINT : vérification de profil, analyse de comportements en ligne, cartographie sociale. Approche légale, structurée et orientée livrables

Machine learning dashboard for detecting fake social media profiles using SVM, Streamlit, and data mining analytics.

A machine learning-based system that identifies fake social media profiles using data preprocessing, feature extraction, and classification techniques for improved online security.

Identification of Fake Profiles Across Online Social Networks - from-scratch NumPy ANN (sigmoid + backpropagation) scoring friend-request authenticity. FastAPI, React.

Детектор фейковых профилей Instagram

Reverse face search API — OpenAPI spec, Python/Node/curl examples and a fake-profile (catfish) checker. Powered by Trace.

A Machine Learning-based system that detects fake social media profiles by analyzing profile features such as followers, posts, profile information, and user activity using the Random Forest algorithm.