This project presents an E-Commerce platform specialized for eyewear products, enhanced with advanced user-behavior tracking and a personalized recommendation algorithm. The system monitors user interactions such as viewed products, wishlist items, and purchase history to understand preferences and deliver relevant suggestions in real time. Developed using PHP/Laravel, MySQL, and JavaScript, the system enhances user experience, improves conversions, and supports data-driven marketing for eyewear businesses.
The recommendation engine analyzes browsing patterns, category interest, and repeated engagement to suggest frames, lenses, and accessories that match user taste. The platform includes a modern storefront, product filters, cart & checkout, order tracking, and an admin panel for product, order, and customer management.
The Ecommerce for Eyewear with User-Behavior Tracking is a full-stack web application that modernizes the eyewear shopping experience. Beyond standard e-commerce features, it captures detailed behavioral data such as how long a user views a product, which categories they explore, items added to wishlist, and purchase tendencies.
Using this data, the system automatically generates personalized recommendations like “Similar Frames,” “You May Also Like,” or “Based on Your Interest,” improving customer engagement and sales.
Build a complete e-commerce system for eyewear
Track detailed user browsing and interaction behavior
Suggest relevant products using behavior-based logic
Improve user experience and conversion rate
Provide analytics for business decision-making
Eyewear Product Catalog (Frames, Lenses, Sunglasses, Accessories)
User Behavior Tracking (views, wishlist, time spent, purchases)
Smart Recommendation Engine
Wishlist, Cart & Secure Checkout
Order Management & Tracking
Advanced Product Filters (shape, size, color, material)
Admin Panel for Product, Order & Customer Management
Behavior Analytics Dashboard for Admin
PHP/Node.js Backend with MySQL/MongoDB
The project delivers a modern and intelligent eyewear e-commerce system that uses behavioral data to personalize shopping. It demonstrates strong technical skills in full-stack development, data analysis, and recommendation logic—making it an impressive BCA final-year project.
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