AI PDF Chatbot

This project is a PDF Quality Assurance application designed to streamline the process of validating and testing PDF documents.

Project Structure

The project is divided into two main parts: backend and frontend.

Backend

The backend is built using Python and includes the following components:

• app: Contains the main application logic, including configuration, database interactions, models, schemas, services, and API endpoints.
• prisma: Contains the Prisma schema for database management.
• uploads: Directory for storing uploaded files.
• requirements.txt: Lists the Python dependencies required for the backend.
• .env: Environment variables for configuration.

Frontend

The frontend is built using JavaScript and includes:

• public: Static files for the frontend application.
• src: Contains the main source code, including components, pages, and services.
• package.json: Lists the JavaScript dependencies required for the frontend.
• .env: Environment variables for frontend configuration.

Getting Started

To get started with the project, clone the repository and install the necessary dependencies for both the backend and frontend.

Backend Setup

1. Navigate to the backend directory.
2. Install the required Python packages using pip install -r requirements.txt.
3. Set up your environment variables in the .env file.
4. Run the application using python -m app.main.

Frontend Setup

1. Navigate to the frontend directory.
2. Install the required JavaScript packages using npm install.
3. Start the frontend application using npm start.

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.

License

This project is licensed under the MIT License.