This project is a QnA (Questions and Answers) web application. It consists of a backend built with FastAPI and a frontend that interacts with the backend.

• Create, read, update, and search questions.
• Mark questions with answers.
• CORS configuration to allow frontend interaction.

The backend is implemented using FastAPI and SQLAlchemy for database interactions.

• GET /questions/: Retrieve all questions.
• GET /questions/search/: Search questions by keyword.
• POST /questions/: Create a new question.
• GET /questions/{question_id}: Retrieve a specific question by ID.
• PUT /questions/{question_id}/answer: Update the answer for a specific question.

1. Install dependencies:

   pip install fastapi sqlalchemy uvicorn

2. Start the server:

   uvicorn main:app --reload

The frontend interacts with the backend through the defined API endpoints. Ensure the frontend is configured to communicate with the backend server running on http://localhost:8080.

1. Start the backend server.
2. Open the frontend application.
3. Use the frontend interface to create, read, update, and search questions.

This project is licensed under the MIT License.