AI Structured Summarizer

A full-stack application that converts raw text into clear, structured summaries using Large Language Models.
Designed with an emphasis on reliable AI output, clean UI, and maintainable architecture.

Overview

The app allows users to enter text and receive a short, beginner-friendly summary in a strict JSON-backed format, rendered cleanly on the frontend.

Unlike typical LLM demos, this project focuses on predictability — both in backend responses and frontend consumption.

Live Demo

🔗 Deployed App: https://ask-anything-theta.vercel.app/

What it does

• Accepts raw text input from the UI
• Generates a concise summary using LLMs
• Validates and enforces structured responses
• Displays results with a clean, minimal interface

Tech Stack

Frontend

• Next.js
• TypeScript
• shadcn/ui
• Tailwind CSS

Backend

• Node.js
• Express
• LangChain
• Zod (schema validation)
• OpenAI / Gemini / Groq

Example Output

{
  "summary": "A database is a system used to store and organize data so it can be easily accessed and managed.",
  "confidence": 0.92
}