Gen AI Project 2: Amazon Competitor Analysis

Build an Amazon Competitor Analysis App

In this hands-on project workshop, you’ll build a real Amazon competitor analysis application from scratch.

The goal is simple and practical:

A user enters any Amazon product, and your app automatically finds competing products, collects key details using web scraping, and then uses an LLM to analyze competition, pricing, positioning, and gaps.

This is not a theory session. You will actually build the full working application.

What you will build

1. A Streamlit web app where users enter an Amazon product
2. Web scraping logic to fetch competitor products from Amazon search results
3. Structured data extraction (title, price, ratings, reviews, etc.)
4. Use LangChain + LLMs to analyze competitors and generate insights
5. Clear output explaining how the product compares against competitors

What you will learn

1. How real-world web scraping pipelines are designed and handled
2. Turning raw scraped data into structured inputs for LLMs
3. Using LLMs for analysis, not just text generation
4. Designing end-to-end GenAI projects that make sense in real products
5. Common scraping challenges and how to handle them cleanly

Who this workshop is for

1. Developers and data professionals who want real GenAI project experience
2. Anyone tired of toy demos and wants something practical and interview-ready
3. People who want to understand how GenAI fits into real product workflows

By the end of this workshop, you’ll have a complete GenAI project you can extend, demo, and talk about confidently in interviews or portfolios.