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Beyond the Field: Revolutionizing Football News Analytics with a Multi-Stage NLP Pipeline Integrating RAG and TEXT2SQL
- Program: Computer Science
- Course: EN.601.513 Group Undergraduate Project
- Year: 2025
Project Description:
This project explores the integration of Large Language Models (LLMs) into a sports analytics web application. The main objective is to enhance decision-making by allowing coaches and analysts to generate AI-assisted player reports and manage player data in a user-friendly environment. Our procedure involved building a React/Next.js web application with a PostgreSQL database (managed by Prisma) and an LLM backend that provides insights on uploaded documents and user queries.
Project Photo:
We’re building an AI-driven news solution for professional football using an advanced LLM pipeline that delivers fast, accurate, and contextual insights—streamlining real-time decision-making for scouts and analysts.
