A Novel Approach to Personalized Comparison of Online Products Based on Price and Quality

The paper aims to provide a user-friendly and efficient way in order to compare prices of products across different e-commerce websites. The work has utilized web scraping techniques using Selenium and Chrome Driver to gather price data from various online retailers. The platform will also incorporate a personalized approach to the comparison process, allowing users to create custom product lists and receive notifications when the price of an item drops below a specified threshold. The personalized price comparison work will offer a valuable tool for consumers who are looking for the best deals on products without having to spend hours searching through multiple websites.