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Web Development · Major Project

E-Commerce Platform and Recommender

Full-stack storefront with hybrid collaborative filtering

4 weeks build

Overview

A complete storefront with catalogue, cart, checkout, orders and an admin console, wired to a recommendation service that blends collaborative filtering with content similarity and measurably lifts basket size in the included simulation.

What makes it stand up

  • 01Matrix-factorisation recommender with a content-based cold-start path
  • 02Test-mode payments, webhooks and full order lifecycle
  • 03Admin console for inventory, pricing and coupons
  • 04A/B simulation notebook proving the uplift
  • 05Search with filters, facets and typo tolerance

Module breakdown

  1. 01

    Catalogue

    Products, variants, media and faceted search.

  2. 02

    Checkout

    Cart, addresses, payments and webhook handling.

  3. 03

    Recommender

    Training job, serving API and fallback ranking.

  4. 04

    Admin

    Role-based dashboard with sales analytics.

  5. 05

    Evaluation

    Offline metrics and a simulated online test.

After this, you will be able to

  • Explain collaborative versus content-based filtering
  • Handle the cold-start problem convincingly
  • Show a real checkout run end to end

Technology stack

  • Next.js
  • TypeScript
  • Prisma
  • PostgreSQL
  • Stripe
  • Python

Complete kit

₹4,799₹8,299
-42%

Delivered in under 48 hours

Level
Major Project
Domain
Web Development
Build time
4 weeks
Difficulty
Rating
4.8 / 5 · 229

You receive

  • Complete, commented source code
  • 60-90 page project report (IEEE format)
  • Editable presentation deck
  • Architecture, ER and UML diagrams
  • Local setup and deployment guide
  • Sample dataset or seed data
  • Viva question bank with answers
  • One 45-minute walkthrough call
  • 30 days of doubt-clearing support
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