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A full-featured e-commerce web application with product catalog, cart, checkout, payment gateway integration, order tracking, and an AI-powered recommendation engine that suggests products based on browsing history and purchase patterns.
Problem Statement
Small businesses struggle to set up online stores with personalized shopping experiences. Existing platforms are expensive and lack customization. A custom solution with AI recommendations can boost sales and customer engagement.
Objectives
Build a responsive product catalog with search and filtering
Implement cart, wishlist, and secure checkout flow
Integrate payment gateway (Razorpay/Stripe)
Develop AI recommendation engine using collaborative filtering
Create seller dashboard with inventory and order management
Modules
Product Catalog
Category-based product listings with images, variants, pricing, and advanced search.
Cart & Checkout
Shopping cart, address management, coupon system, and multi-step checkout.
Payment Integration
Razorpay/Stripe payment gateway with order confirmation and invoice generation.
Recommendation Engine
Collaborative and content-based filtering to suggest relevant products to users.
Seller Dashboard
Product management, order processing, revenue analytics, and inventory alerts.
User Account
Profile management, order history, wishlist, reviews, and address book.
Expected Output
A responsive e-commerce website where customers can browse products, get AI recommendations, make purchases, and track orders. Sellers can manage inventory and view analytics.
Future Scope
AR product try-on, voice search, chatbot support, multi-vendor marketplace, and mobile app with push notifications.