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Full-Stack2024
AI-Powered E-Commerce Platform
Smart shopping with ML recommendation engine
Project Overview
A production-ready e-commerce platform built for scalability and intelligence. The recommendation engine analyzes user behavior and purchase patterns using collaborative filtering and content-based algorithms to deliver personalized product suggestions.
The platform handles 1000+ concurrent users with Redis caching, Celery task queues for async processing, and WebSocket-powered real-time inventory updates. The admin dashboard offers deep analytics with revenue charts, customer segmentation, and AI-driven demand forecasting.
- 1K+
- Concurrent Users
- 50K+
- Products
- 99.9%
- Uptime
- +32%
- Conversion
Gallery
Key Features
- Collaborative filtering recommendation engine
- Real-time inventory with WebSocket
- Stripe & SSL Commerz payment gateways
- Admin analytics with revenue forecasting
- Docker Compose + Nginx production setup
Technology Stack
DjangoReactPostgreSQLRedisCeleryStripeDockerNginx
