InvoiceIQ

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.

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Features

• 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

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Technologies Used

Frontend

• React.js
• Vite
• Axios
• CSS3

Backend

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

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Project Structure

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

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Installation

1. Clone the repository

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

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2. Backend Setup

cd backend

python -m venv venv

venv\Scripts\activate

pip install -r requirements.txt

uvicorn app:app --reload

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3. Frontend Setup

Open a new terminal.

cd frontend

npm install

npm run dev

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Environment Variables

Create a .env file inside the backend folder.

GEMINI_API_KEY=YOUR_API_KEY

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API Endpoints

Method	Endpoint	Description
GET	/	Backend status
POST	/upload	Upload an invoice PDF
POST	/ask	Ask a question about the uploaded invoice

Future Improvements

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