Automated Product Aggregator and Summarizing System

Abstract

The rapid growth of e-commerce has led to significant information overload for consumers, making efficient product comparison a time-consuming and challenging task. This project addresses this issue through the design and implementation of IPASS (Automated Product Aggregator and Summarizing System), an intelligent browser extension. The primary objective of this project is to enhance the online shopping experience by automatically detecting product-related searches and presenting aggregated, structured product data directly on the search engine results page. The system employs a client-server architecture, with a Python backend utilizing the FastAPI framework and a frontend browser extension built with modern JavaScript adhering to the Manifest V3 standard. The core of the system is its data extraction pipeline, which leverages Google's Gemini 2.5 Flash API to accurately parse and summarize product information from various e-commerce websites, including those in the Bangladeshi market. The final implemented system successfully demonstrates a functional prototype that provides users with a seamless, real-time product comparison tool, validating the effectiveness of using large language models to solve practical consumer challenges in the e-commerce domain.