InsightPulse – AI News Research Tool

The Problem

Financial professionals, investors, and researchers often struggle to keep up with the huge volume of stock market news, financial articles, and PDF reports. Manually reading long documents is time-consuming, inefficient, and error-prone, making it difficult to quickly extract relevant insights or make informed decisions.

The Solution

This project uses Retrieval-Augmented Generation (RAG) to intelligently analyze financial news and documents. Users can upload news article URLs or PDFs and ask natural language questions. The system retrieves only the most relevant information from the data and generates accurate, context-aware answers using a large language model. This approach significantly reduces reading time, improves information accuracy, and enables faster decision-making.

About This Project

Tech Stack