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Auto encoders based recommendation system

skinsforskin is a React-based web app that transforms skincare with personalized suggestions via OpenAI API and ingredient analysis for products.

This repository includes a web application that is connected to a product recommendation system developed with the comprehensive Amazon Review Data (2018) dataset, consisting of nearly 233.1 million records and occupying approximately 128 gigabytes (GB) of data storage, using MongoDB, PySpark, and Apache Kafka.

A dummy E-Commerce website with 3 recommendation systems, that recommends products based on customer reviews of products from a public dataset.

Relewise demo shop featuring Search & Recommendations built on top of the Relewise JavaScript SDK using Vue

This project focuses on exploring product recommendations within the realm of luxury fashion resale. It serves as a companion to my thesis of the MSc Marketing Analytics program at TiU.