A full stack project using machine learning to provide a solution to the growing number of counterfeit products on online marketplaces.
• The user inputs the details of the item they are looking to buy
• A supabase query is made to extract the data related to the selected item
• Inputs of the user are fed into a Random Forest Classifier model which predicts whether the item is likely to be authentic or not
• Collect more data for each item to improve model accuracy
• Include more items to allow for more variety in item selection
To be able to test this program yourself, run:
python replica.py
There will then be a link you can press to view the web application.