LazFraudGuard: An Automated Fraudulent Product Detection for Lazada Philippines

LazFraudGuard: An Automated Fraudulent Product Detection for Lazada Philippines Using Machine Learning

LazFraudGuard is an experimental project built with machine learning that helps you identify whether a product on Lazada Philippines is fraudulent or not.

How It Works

1. Install the extension from the Google Chrome Web Store.

2. Visit a Lazada Philippines product page.

3. Get instant feedback on whether the listing is fraudulent.

NOTE: When visiting a product page for the first time, the app may scroll to the reviews section to allow the page to load the reviews. Give it a few seconds to load.

Notice the new "RECOMMENDED" icon is now added beneath the product title. In this case, LazFraudGuard thinks this product is genuine.

A Not Recommended Product

Similarly, the "NOT RECOMMENDED" icon is now added beneath the product title. In this case, LazFraudGuard thinks this product is fraudulent.

More Details

Hovering the "NOT RECOMMENDED" icon may show a short explanation as to why.

Known Limitations

The model was originally trained on mobile & tablet devices, portable speakers, and beauty products. While this might work on other product categories, the model might not be that accurate.

Frequently Asked Questions (FAQ)

Q: Is this project affiliated with Lazada?
This project is not affiliated with Lazada or any of its sellers.
Q: How does the fraud detection work?
Fraud detection in this extension works by leveraging machine learning algorithms to analyze various aspects of a product listing, such as price, seller information, reviews, and keywords from the product titles and descriptions. Unlike simple keyword matching, the model identifies complex patterns and correlations that are typical of fraudulent listings that even humans may tend to overlook.
Q: Are the predictions always accurate?
AI makes mistakes. You are still advised to make further investigation when the recommendations don't seem to align with what's shown.
Q: Does the extension collect any personal data?
The extension does not collect any personal data. The API server that runs the machine learning model for this extension processes all data received on demand without logging user details. For more information, please refer to our Privacy Policy.

Contact

Earl Peter J. Gangoso

Professor/Department Chair/Program Director
La Salle University - Ozamiz
email