Build an AI Investment Advisor with LLM & LangChain
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Build an AI-driven investment advisor using LLMs and LangChain. Learn how to create a personalized financial advisor that provides real-time, AI-powered investment recommendations.
At a Glance
Learn to build useful AI applications with LLM & LangChain. In this project, you will build an “stock investment advisor” application. Let your users experiment with investment strategies and learn how investment in stock market works.
In this project, we aim to build an AI application that goes beyond mere information dissemination. Our app will actively analyze market trends using the latest news from sources like Yahoo Finance and Google News. Moreover, it will evaluate financial statements spanning a 2-year period to offer insightful financial analyses. We will guide you through each step, demonstrating how to construct this AI agent using LangChain—a leading package for developing applications based on large language models (LLMs).
👉 Check out the demo of what you’ll build.
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demo
A Look at the Project Ahead
- Build an AI-powered application to help people learn the experiments with stock investment strategies.
- Gain hands-on experience with AI and natural language processing (NLP).
- Access real-time financial news and financial data.
- Understand the LangChain framework, a powerful tool for AI applications.
- Gain better understanding of financial markets.
What You’ll Need
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