InvoiceIQ is an AI-powered invoice analysis web application that allows users to upload invoice PDFs, extract invoice details, and ask natural language questions about the uploaded invoice using Google's Gemini AI.

The application combines a FastAPI backend with a React frontend to provide a clean, interactive interface for invoice analysis.

• Upload invoice PDF documents
• Extract text from uploaded invoices
• Display extracted invoice details
• Ask questions about the uploaded invoice
• AI-powered responses using Gemini API
• Modern and responsive user interface
• FastAPI REST API backend
• React + Vite frontend

• React.js
• Vite
• Axios
• CSS3

• FastAPI
• Python
• Uvicorn
• PyMuPDF (PDF text extraction)
• Google Gemini API

InvoiceIQ/
│
├── backend/
│   ├── app.py
│   ├── gemini_service.py
│   ├── pdf_reader.py
│   └── .env
│
├── frontend/
│   ├── src/
│   ├── public/
│   ├── package.json
│   └── vite.config.js
│
└── README.md

git clone https://github.com/Riddhika-Ravi/InvoiceIQ.git
cd InvoiceIQ

cd backend

python -m venv venv

venv\Scripts\activate

pip install -r requirements.txt

uvicorn app:app --reload

Open a new terminal.

cd frontend

npm install

npm run dev

Create a .env file inside the backend folder.

GEMINI_API_KEY=YOUR_API_KEY

• Support multiple invoice formats
• Invoice history
• Download analysis reports
• User authentication
• OCR support for scanned invoices
• Dark mode
• Invoice summary dashboard