An AI-powered Fake Review Detector built with Python, Streamlit, and Scikit-learn. Uses TF-IDF vectorization, Logistic Regression, and behavioral text analytics (sentiment, exclamations, clichés) to identify synthetic or spammy product reviews. Includes training scripts and a full interactive dashboard.

Fraud, Fake News, Fake Review, Detection using AI in a extention.

FakeChecker is a part of my Engineering thesis project on Warsaw University of Technology. Its aim is to detect fake reviews on Google Maps.

Fake Review detection on YELP dataset

🔍 Detect fake product reviews using NLP techniques, TF-IDF, and Logistic Regression, with an interactive Streamlit app for real-time predictions.

AI-powered system for detecting fake reviews, analyzing sentiment, and generating summaries. Combines BERT, embeddings, and deep learning to ensure trustworthy insights for e-commerce and service domains.