At a Glance

Name: Build an AI Shopping Assistant
Price: Free CAD
Rating: 4.6 (17 reviews)
Author: faranak_heidari, wilbur_elbouni, hailey_quach, joseph_santarcangelo, ricky_shi

Create an AI-driven shopping assistant using Flask, SerpAPI, and LLMs. Integrate search engine APIs for real-time shopping data, and gain practical skills like query refinement with LLMs to automate product comparisons. This hands-on project walks you through combining APIs with advanced AI models like Granite to build intelligent, efficient applications. Whether you're new to AI or a pro developer, this guide offers valuable insights into building scalable, reusable, and impactful solutions for real-world use cases. In the end, you will have AI powered app that can help you shop smarter!

Imagine you are looking to buy a new gadget, a gift, or a trending product like the latest vacuum robot and you need to browse the internet for countless hours being overwhelmed by the many available options. What if an AI app could help you narrow down your search? Whether you are on the hunt for some deals or you are searching for gift ideas for your loved ones on a special occasion you can leverage generative AI to optimize your search and make the best choices.

In today’s world of AI and automation, user expectations for intelligent applications are at an all-time high. This project teaches you how to integrate state-of-the-art AI technologies into a real-world solution, combining APIs and language models to deliver an unparalleled user experience.

Ready to create an intelligent AI-driven shopping assistant?
Opt for the quick setup and start exploring the app in under 10 minutes!

This guided project will take you through the process of building a web application that helps users find the best deals online. Combining Flask, Langchain, SerpAPI, and IBM's `granite-3-8b-instruct` model hosted on IBM's watsonx, you’ll develop a sleek, AI-powered tool that refines user queries, fetches shopping results, generates structured outputs, compares products, and highlights deals—all in real-time.

What You’ll Build

Over the course of this project, you’ll:

Develop a Flask-based Web Application: Create an intuitive and responsive application interface for seamless interaction.
Leverage SerpAPI for Real-Time Shopping Results: Use SerpAPI to fetch the latest product information, including prices, ratings, and reviews, based on user queries.
Integrate LLMs for Query Refinement: Enhance search accuracy with AI-powered query refinement using Granite LLM, ensuring users get the most relevant results.
Generate Product Comparison Table and Structured AI-Powered Suggestions: Build automated comparison tables with HTML output for clear, side-by-side evaluation of products, to identify and emphasize the best deals specific to a desired geographical location, enhancing the user experience.

By the End of the Project

You’ll have:

A fully functional shopping assistant that refines searches, fetches deals, and compares products with AI precision.
Hands-on experience integrating APIs with advanced language models to create intelligent applications.
A deeper understanding of how to build and scale practical AI-driven solutions.

What You'll Need

Programming Knowledge: Basic familiarity with Python.

Web Browser: Use Chrome, Edge, Firefox, or Safari for development and testing.
SerpAPI free API Key for querying Google searches (we’ll walk you through setting this up).

Cloud Environment: IBM Skills Network Labs provides a pre-configured workspace with all necessary tools and access to required LLMs.

Offered By: IBMSkillsNetwork

Build an AI Shopping Assistant

At a Glance

What You’ll Build

By the End of the Project

What You'll Need