AutoRFP is a tool for processing and responding to Request for Proposal (RFP) documents. It allows uploading documents, extracting structured questions, and managing responses.

Features

Document upload and parsing
Automatic extraction of RFP questions and sections
Structured organization of questions for easy response
Answer management

Setup

Clone the repository
Install dependencies:
```
npm install
```
Create a .env.local file with the following variables:
```
OPENAI_API_KEY=your-openai-api-key
```
Run the development server:
```
npm run dev
```

Usage

Upload an RFP document via the upload page
Click "Get Questions" to extract structured questions
View and answer questions in the organized interface
Export your answers when complete

Technologies

Next.js
React
OpenAI GPT-4
shadcn/ui components

This is a Next.js project bootstrapped with create-next-app.

Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.

Learn More

To learn more about Next.js, take a look at the following resources:

Next.js Documentation - learn about Next.js features and API.
Learn Next.js - an interactive Next.js tutorial.

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.