The tutorial presents a comprehensive guide to building an Amazon product analyzer web application that utilizes AI to provide detailed insights beyond basic sorting by price or rating. Users can search any of 23 Amazon marketplaces for product data, which is collected with Bright Data's Web Scraper API and presented through interactive dashboards powered by Streamlit. The app features a tab-based interface displaying organized results with AI-generated insights, custom product recommendations, and market analysis through interactive charts. The backend is built on a modern, Python-based stack, employing technologies like Pandas for data processing, Google Gemini for AI integration, and Plotly for visualizations. The project architecture ensures a clean separation of concerns, enhancing maintainability and scalability. The AI component is designed to prevent hallucinations by relying solely on available product data to generate accurate insights while the recommendation engine uses quality thresholds to ensure reliable product suggestions. The guide provides detailed instructions on setting up the development environment, scraping Amazon data, processing it, and integrating AI for intelligent analysis, culminating in a user-friendly interface that transforms large datasets into actionable business intelligence.