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

Auto encoders based recommendation system

Open-source framework for cold-start recommendations and lazy knowledge graph construction from product catalogs

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.

Smart pharmacy assistant for ViaPharma customers. Provides personalized OTC product recommendations based on symptoms using medical AI and safety-first approach.

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.

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

Hello Retail is a personalization and product recommendation platform for e-commerce. It provides a REST API and JavaScript SDK for integrating personalized product recommendations, search, and behavioral tracking into retail websites.

ML-powered product recommendation system that analyzes guest reviews using sentiment analysis (DistilBERT) to surface bestselling products by category and generate actionable insights for underperforming ones. Built for Target India's application challenge.

Conversational AI shopping assistant for e-commerce — product discovery, recommendations, and order support powered by Azure OpenAI and Semantic Kernel.

Official documentation for RevenueHunt Product Recommendation Quiz — build interactive e-commerce quizzes for Shopify, WooCommerce, Magento & BigCommerce. Personalized product recommendations, zero-party data collection, and CRM integrations.