DocumentAI Platform

DocumentAI is an intelligent document processing platform that allows users to upload, analyze, and extract insights from their documents.

• Document Upload & Management: Securely upload and organize your documents
• AI-Powered Analysis: Extract insights and key information from documents
• Project Organization: Group related documents in projects for better organization
• User Authentication: Secure access with NextAuth integration
• Responsive Design: Works on desktop and mobile devices

• Frontend: Next.js, React, Tailwind CSS
• Backend: Next.js API Routes
• Database: PostgreSQL with Prisma ORM
• Authentication: NextAuth.js
• File Storage: Local storage (configurable for cloud services)

The project follows a modular architecture:

/src
  /app                  # Global pages and layouts
  /modules              # Feature-based modules
    /auth               # Authentication module
    /documents          # Document management module
    /projects           # Project management module
    /users              # User management module
  /common               # Shared resources
    /components         # Reusable components
    /lib                # Utility libraries
    /hooks              # Custom React hooks
    /utils              # Utility functions
  /styles               # Global styles
/public                 # Static assets
/prisma                 # Prisma schema and migrations

Each module follows a consistent structure:

/module-name
  /api                  # API routes
  /components           # Module-specific components
  /hooks                # Module-specific hooks
  /services             # Business logic services
  /types                # TypeScript type definitions

• Node.js 16+
• npm or yarn
• PostgreSQL database

1. Clone the repository:

git clone https://github.com/your-username/documentai.git
cd documentai

2. Install dependencies:

npm install
# or
yarn install

3. Create a .env file in the root directory:

DATABASE_URL="postgresql://user:password@localhost:5432/documentai"
NEXTAUTH_URL="http://localhost:3000"
NEXTAUTH_SECRET="your-secret-here"
UPLOAD_MAX_SIZE="10485760" # 10MB in bytes

4. Run Prisma migrations:

npx prisma migrate dev

5. Start the development server:

npm run dev
# or
yarn dev

6. Open http://localhost:3000 in your browser.

This project uses Prisma ORM for database management. To set up the database:

1. Make sure your PostgreSQL instance is running
2. Update the DATABASE_URL in your .env file
3. Run the migrations:

npx prisma migrate dev --name init

To seed the database with initial data:

npx prisma db seed

Create a production build:

npm run build
# or
yarn build

1. Connect your GitHub repository to Vercel
2. Set up the required environment variables
3. Deploy with the default settings

1. Build the application
2. Set up environment variables
3. Run the production server:

npm start
# or
yarn start

1. Fork the repository
2. Create a new branch: git checkout -b feature-name
3. Make changes and commit: git commit -m 'Add feature'
4. Push to the branch: git push origin feature-name
5. Submit a pull request

This project is licensed under the MIT License - see the LICENSE file for details.