AnantDuhan/MERN-Ecommerce
Architected a polyglot e-commerce platform integrating a React/RTK frontend, a Node.js backend, and a Python ML microservice. The platform's core is a hybrid, real-time recommendation system using Redis and pre-computed models to provide instant, personalized suggestions. The system is built for production with Stripe, AWS S3 & robust security
Based on the README, here's a deeper technical summary: Features include two-factor authentication, Google OAuth, AI-powered product summaries via embeddings, wishlist management, coupon systems, and a subscription-based Plus membership tier alongside the core recommendation engine. The architecture decouples concerns across MongoDB (data persistence), Redis (query caching for 85% performance gains), and asynchronous email delivery via Amazon SES, while frontend state flows through Redux with thunks for async operations. It targets the Node.js/React ecosystem and integrates Docker, Stripe webhooks, AWS S3 multipart uploads, and Mocha/Chai testing—deployable to Render (backend) and Vercel (frontend).
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Language
JavaScript
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Last pushed
Mar 13, 2026
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