Found 416 repositories(showing 30)
No description available
AmirhosseinHonardoust
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.
kntb0107
Project Files for Final Year Project
Davidelvis
Fake Review Detection Of E-Commerce Electronic Products Using Machine Learning Techniques
shrey24
A machine learning system to detect fake reviews on Yelp.
abinashdtt45
This is a web app made for the online consumers. We all know about the internet shopping frauds that happen today. People in order to sell their product buy people to give good reviews as well as to defame others. To save consumers from all this, the app provides an interface wherein you can give the url of the product you are thinking of buying. The app then, after processing it tells you whether you shoud buy it or not. The implementation is based on the combination of two processes, i.e. fake review detection and sentiment analysis. Firstly, the app scrapes the reviews from the product page and then detects the fake reviews and then on the real reviews it performs sentiment analysis to tell whether to buy the product or not. The Fake Review models firstly has a text feature detector, the output of which is then passed on to a svm classifier. The sentiment analysis model is based on a bag of words and ngram approach. The feature classifier is a 1D conv net. If LSTM or GRU is used , the results will be better.
Miyayx
No description available
dababydevelopment
detect fake reviews
the-developer-306
This project is a machine learning-based review classification system that predicts whether a product review is GENUINE or FAKE. It preprocesses review text, analyzes sentiment, and uses numerical features like ratings and helpfulness to make predictions. The model is deployed via a Flask web application for user interaction.
Rishi1045
No description available
Aryan-jaiswal-26
AI/ML Fake Review Detector using NLP, soft computing, and cybersecurity. React + Tailwind UI with animated grid; single/batch analysis with confidence scores.
alfredd25
Chrome extension to detect fake reviews using ML
ArnabSaga
No description available
AbylaiSekerbek7
Fake reviews detector
AlonsoCornejo
No description available
Ranjan-V
No description available
jaditya8109
No description available
saikatwebdev
No description available
jordanbecker1
No description available
punit-redflag
No description available
dhruv23203
A machine learning project that detects fake product reviews using Natural Language Processing (NLP) and Logistic Regression classification.
Kaus360
No description available
kruts
🔍 Detect fake product reviews using NLP techniques, TF-IDF, and Logistic Regression, with an interactive Streamlit app for real-time predictions.
nbchand
E-commerce site where reviews can be filtered on the basis of the IP address of the reviewer.
Isha2408
No description available
Faranshaikhofficial
A Machine Learning powered web application to detect fake product reviews using behavioral analysis and NLP. Built with Python and Streamlit.
vankireddysomeswarreddy
No description available
lakhidaksh-01
No description available
SAGAR372112
A real-time machine learning API that detects fake or deceptive product reviews using BERT-based NLP models, reviewer behavior patterns, and posting timestamps. Built with FastAPI to support scalable deployment and integration with e-commerce platforms.
webcodelabb
Detect fake product reviews using machine learning (NLP + explainability). Features include TF-IDF vectorization, logistic regression, model saving/loading, batch prediction from CSV, and a Gradio web interface.