CLICK CART: AN E-COMMERCE WEBSITE USING CONTENT-BASED FILTERING

Abhigya Karmacharya
2025
BCA
Semester 6
Downloads 0

This project presents Click Cart, a web-based e-commerce application that provides a seamless shopping experience with personalized product recommendations. It uses a content-based filtering algorithm to suggest products based on user preferences and product features, improving recommendation accuracy compared to generic systems. Built using the MERN stack (MongoDB, Express.js, React.js, and Node.js), the platform allows users to browse products, set preferences, and receive tailored suggestions. The system enhances user experience by offering relevant recommendations and an efficient, interactive shopping interface.

Content-based Filtering

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