Machine learning-based system for detecting fake social media profiles using behavioral data and image analysis. Detect fake social media accounts using AI + image intelligence.
🌐 Live Demo-- https://fake-account-detector-3gappbvre8tqh2hzzg5fu4d.streamlit.app/
Features-- Detects fake accounts using ML model Analyzes profile images using OpenCV (face detection) Displays confidence score for predictions Provides AI-style explanation for results Modern UI with animations and interactive design
Tech Stack-- Python Streamlit Scikit-learn OpenCV
How it Works-- User inputs followers, following, and post count Uploads profile image (optional) Model extracts features (ratio + image signals) Predicts whether account is real or fake Displays result with confidence and explanation
Model Logic-- Follower-to-following ratio plays a key role Low post count and abnormal ratios indicate fake profiles Image analysis checks: Single face → more likely real Multiple/no face → suspicious
Run Locally* pip install -r requirements.txt streamlit run app.py
Future Improvements-- Larger and more realistic dataset Deep learning-based image analysis Integration with real social media APIs
Author Viswanath Rao