Abstract:

The Personalized Shopping Assistant is a web-based application designed to enhance user experience by recommending products based on their purchase history. It utilizes machine learning techniques to analyze customer data stored in a database and generate personalized product suggestions. Developed using HTML, CSS, JavaScript for the frontend and Python with MySQL for the backend, the system aims to provide small e-commerce platforms with a lightweight and efficient recommendation solution similar to large-scale systems like Amazon and Flipkart.