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Build Your Spending Insights Advisor with LLM

IntermediateGuided Project

Make your transaction records smarter! This hands-on project integrates Large Language Models (LLMs) with a credit card transaction database using LangChain's SQLChain. You will develop an AI-assisted tool that enables effortless querying in natural language and offers immediate and valuable insights into your spending habits.

4.3 (9 Reviews)

Language

  • English

Topic

  • Artificial Intelligence

Enrollment Count

  • 166

Skills You Will Learn

  • Artificial Intelligence, LLM, Chatbots, Databases

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 1.5 hours

Platform

  • SkillsNetwork

Last Update

  • May 10, 2024
About This Guided Project
Imagine engaging in a casual conversation with your transaction records, effortlessly inquiring about your spending habits and receiving immediate, insightful responses. This scenario is not a futuristic fantasy but a present reality made possible by our innovative project. In this tutorial, we leverage the capabilities of LangChain's SQLChain to seamlessly connect a credit card transaction database with Large Language Models (LLMs). Our goal is to enable intuitive, natural language querying, offering you instant and profound insights into your financial behaviour. Welcome to a new era of financial management where complex queries are transformed into simple, conversational interactions. Demo 👉 Check out the example app you'll create.

A Look at the Project Ahead

Here's what you will learn to:
  • Integrate LLMs with SQL databases to handle data queries, enhancing your skills in database management and working with LLMs.
  • Enhance the capabilities of LLMs by using the techniques of prompt engineering.
  • Transform any database data into understandable and actionable insights.

What You'll Need

A fundamental understanding of Python is beneficial. 

Instructors

Vicky Kuo

Data Scientist

I believe that success isn't just about individual milestones, but also about uplifting and encouraging others to reach their potential. This is why I'm passionate about combining my technical background with my eagerness to help people overcome technological hurdles and accelerate growth. When I’m not on the job, I love hiking with my two dogs or relaxing in a coffee shop. There's nothing better than having an insightful conversation over coffee, or even better, some volunteer work! Please feel free to reach out to me on LinkedIn.

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Contributors

Bradley Steinfeld

Lover of technology and learning

I work for IBM. I like all tech, especially AI!

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Jigisha Barbhaya

Data Scientist

I am a Data scientist at IBM and Lead instructor at Skills network. I love to learn and educate. I have completed my MSc(Computer Application) specialisation in Data science from Symbiosis University.

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Sina Nazeri

Data Scientist at IBM

I am grateful to have had the opportunity to work as a Research Associate, Ph.D., and IBM Data Scientist. Through my work, I have gained experience in unraveling complex data structures to extract insights and provide valuable guidance.

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