📄 AI-Powered PDF QA App

An AI-powered application that lets you upload PDFs and ask questions about their contents. It uses NLP techniques to retrieve relevant information and provide summarized answers.

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🧠 Features

• Upload any PDF document.
• Ask natural language questions about the content.
• Get summarized answers using AI.
• Backend: FastAPI, LangChain, HuggingFace, ChromaDB.
• Frontend: Next.js (App Router).

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🖥️ Run the Backend

1. Setup Python Environment

Use uv (fast Python package manager) and create a virtual environment:

uv venv
source .venv/bin/activate  # or .venv\Scripts\activate on Windows

2. Install Dependencies

uv pip install -r requirements.txt

3. Start the FastAPI Server

uvicorn main:app --reload

This will start the backend on: http://localhost:8000

🌐 Run the Frontend (Next.js)

1. Set Environment Variables

Create a .env file in the frontend/ directory with the following content:

NEXT_PUBLIC_API_URL=http://localhost:8000

2. Install Node Dependencies

cd frontend
npm install

3. Start Development Server

npm run dev

The frontend will be available at: http://localhost:3000

Screenshots