{"repo":"hoangsonww/FRED-Data-Analysis","free":true,"listed":false,"github":"https://github.com/hoangsonww/FRED-Data-Analysis","clone":"git clone https://github.com/hoangsonww/FRED-Data-Analysis.git","description":"💸 A comprehensive AI-powered data explorer that combines FRED economic data & insights with vector search, regression analysis, and interactive RAG chatbot via Pinecone Vector DB, OpenAI, Claude, and Gemini. Built with TypeScript, React, and Express for seamless full-stack performance.","language":"TypeScript","stars":18,"topics":["anthropic","claude-ai","data","data-analysis","data-analytics","data-science","data-visualization","fred","fred-api","gemini"],"license":"MIT","category":"ai-agents","readme_excerpt":"FRED Data Analysis Project - A Comprehensive Analysis of the U.S. Economy By David Nguyen, 04/08/2025 This repository contains a mockup full-stack application that fetches a wide range of U.S. economic data from the FRED API, vectorizes it using Pinecone, and provides a chatbot interface for querying the data. The application is built with TypeScript and uses Express for the backend. The frontend is a simple MUI-Powered React application that interacts with the backend API in a more user-friendly manner. This project is divided into two main parts: 1. The application: - A sample full-stack application that fetches a wide range of economic data from the FRED API, clean and preprocesses it, and stores it in a MongoDB database. - It also vectorizes the data using Pinecone and provides a chatbot with RAG (retrieval-augmented generation) capabilities. - The backend is built with TypeScript and uses Express for the server. - The frontend is a simple React application that interacts with the backend API. - Visit the application section below for setup instructions and commands to run the application. 2. The analysis: - A detailed analysis of the FRED economics data using regression models and plots. - The analysis is performed using TypeScript and the results are saved in the backend directory. - The analysis includes linear regression, polynomial regression, regression on daily percent change, and logarithmic regression. - The results are summarized in a report format, including ch","default_branch":null,"files":null,"tree":[],"storefront":"/r/hoangsonww","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/hoangsonww/FRED-Data-Analysis/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}