Sports E-Commerce Website with Personalized Recommendations

A sports e-commerce website with personalised recommendations.

A sports e-commerce website with personalised recommendations. This reference project walks through the whole job, from the problem and the design to the build and the evaluation, so that a developer can study how it works, run it and extend it.

It suits learners building full-stack skills: user accounts and roles, a database-backed back end, a responsive front end and deployment.

The main parts are personalised recommendations ranked by relevance, an order and payment flow, secure sign-up with role-based access, a database-backed back end with a clear API, and a responsive interface for each type of user. The reference build uses scikit-learn, Razorpay, React, Node.js, and Express, with a clear project structure, setup instructions and sample data so that it can be run and extended.