feat : product recommendations using user last product data

[Saiweb3dev]

his feature enhances the user shopping experience by suggesting products based on the user's browsing history. Here's how it works:

1. Track User Activity: The system records products that users view.
2. Generate Recommendations: When requested, it analyzes the user's recently viewed items and finds similar products based on shared categories or brands.
3. Display Suggestions: The app shows a list of recommended products to the user, encouraging further exploration and potential purchases.
4. Privacy-Aware: The system excludes products the user has already viewed from the recommendations.
5. Real-Time Updates: Recommendations are updated each time the user views a new product, ensuring relevance.

[vercel]

@Saiweb3dev is attempting to deploy a commit to the mohamedsamara's projects Team on Vercel.

A member of the Team first needs to authorize it.