personalized recommendations, secure payment options, and efficient order management

E-commerce website built using Next.js, Redux, Tailwind CSS, MongoDB

The fastai book, published as Jupyter Notebooks

Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory: ML & DL Formulation, Prediction vs. Ranking, Similiarity, Bi…

Product Recommendation System is a machine learning-based project that provides personalized product recommendations to users based on their interaction history, similar users, and also the popular…

This repository includes some papers that I have read or which I think may be very interesting.

Fullstack e-commerce website built with Next.js, Typescript, Prisma, MongoDB

A responsive mock e-commerce website built with Next.js, React, and TypeScript, using the Fake Store API. Features localStorage-based cart & likes, search, and product filtering.

Your Next Store: Modern Commerce with Next.js and Stripe as the backend.

Exclusive E-commerce Website built with Next.js, NextAuth, JWT, Tailwind CSS, Mongoose, and MongoDB. It features product listings, a shopping cart, secure authentication, and AI-powered recommendat…

A full stack server side rendered e-commerce built with Next.js, TypeScript, Node.js, Express and MongoDB.

Using algorithms such as collaborative filtering, content-based filtering, or hybrid methods, this recommendation engine offers personalized suggestions to users, enhancing their shopping or browsi…

An e-commerce web application built using django and django-rest-framework, embedded with a content-based recommendation system.