Aibrary is a platform that combines children's creativity with AI assistance for creating personalized storybooks.

1. Interactive Storytelling

   • Children create unique stories through a choice-based game powered by an LLM (e.g., GPT-4).
   • The AI guides the narrative by providing options at each step.

2. Background Generation

   • An image generation model analyzes the story and generates relevant background scenes.

3. Character Illustration

   • Children illustrate the characters on the AI-generated backgrounds, bringing their stories to life.

• Interactive storytelling with AI guidance
• AI-generated contextual backgrounds
• Children's creative character illustrations
• Seamless AI integration

• Fosters creativity and self-expression
• Engaging and fun learning experience
• Personalized storybooks
• Collaboration with AI technologies

Aibrary aims to provide a delightful and educational platform for children to develop their storytelling abilities, artistic skills, and familiarity with AI in an engaging way.

To start the ML server, follow these steps:

1. Navigate to the ml_server directory:

   cd ml_server
   

2. Create a new Python virtual environment named aibrary with Python 3.8:

   conda create -n aibrary python=3.8
   

3. Activate the virtual environment:

   conda activate aibrary
   

4. Install the required Python packages:

   pip install -r requirements.txt
   

5. Run Server:

   flask run
   

The ML server should now be running and ready to serve AI models.

To start the frontend, follow these steps:

1. Navigate to the frontend directory:

   cd frontend
   

2. Start the Nginx web server:

   sudo systemctl start nginx
   

To start the backend server, follow these steps:

1. Navigate to the backend directory:

   cd backend
   

2. Build the Gradle project:

   gradlew build
   

3. Run the JAR file:

   java -jar backend-0.0.1-SNAPSHOT.jar
   

The backend server should now be up and running, handling requests from the frontend and interacting with the ML server.