fake-reviews

DeepSpamReview: Detection of Fake Reviews on Online Review Platforms using Deep Learning Architectures. Summer Internship project at CoreView Systems.

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

Spam Slayer is a web app used to detect deceptions from Amazon products' reviews. Users can copy a link to the product and paste directly paste it to my page. Using my trained deep learning model, Spam Slayer will distinguish between true/fake reviews and show them an adjusted rating without fake reviews.

Case Study from CSE380

Identifying fake reviews on Sephora using One Class SVM

Creating an algorithm with Tensorflow to detect fake reviews

Identifying fake reviews on Sephora using MLP autoencoder with anomaly detection

Detects fake product reviews using supervised ML algorithms like SVM, Random Forest, and XGBoost. Uses NLP techniques (tokenization, lemmatization, TF-IDF) for preprocessing. SVM achieved the highest accuracy and F1-score. Aims to enhance trust in online review systems.

Claude Code skill that audits a storefront for the dark patterns that are illegal in the EU, UK and US — pre-ticked add-ons, fake countdowns, fake scarcity, fabricated reviews, drip pricing, confirmshaming, hard-to-cancel — with the law, a file and a line, and the honest replacement. Zero-dependency audit script. MIT.

A Project about Predicting the Number of Fake Reviews with Grades of an e-commerce website called Amazon using Machine Learning Models like Bert & XLnet.

Fake review detection in Yelp dataset

Production Flask app with 7-model ML ensemble detecting fake e-commerce reviews - 90,840+ reviews, JWT auth, webhooks, batch processing

Chrome extension that detects fake hotel reviews by cross-referencing ratings across Booking.com, Airbnb, Agoda and Google Maps. Open source.

NetSpam – Academic project on spam detection in online shopping reviews

An end-to-end machine learning pipeline classifying fraudulent Amazon reviews. Features behavioral engineering, SHAP explainability, and a Streamlit UI.

1D-CNN architecture for detecting fake and synthetic consumer reviews in Brazilian Portuguese.

ghost.reviews - detect fake/ghostwritten product reviews from the live web. DeveloperWeek NY 2026 Hackathon (name.com Domain Roulette + Nimble).

Fake review and spam detection pipeline for e-commerce. Multi-filter NLP system: language, PII, and URL validation.

Flags AI / computer-generated product reviews in the Magento 2 admin with an explainable "why flagged" breakdown. Pure-PHP TF-IDF + LogisticRegression, scored in-process — no Python, no API key, no GPU, no network call.