Aircraft GroundOps Sync

This solution streamlines a synchronized aircraft ground operations data using MongoDB Atlas and Google Cloud Platform, enhanced with Dataworkz RAG (Retrieval-Augmented Generation) for intelligent data processing in NL and insights from submitted manuals to track checklist safety compliance and answer aviation questions from the tow operator.

Prerequisites

• Node.js 20+ - installed
• Next.js
• MongoDB Atlas Cluster - With Atlas admin role for your Database
• GCP account with Vertex AI APIs access and Vertex AI enabled
• Dataworkz account (consider API Key access to your LLM of choice is needed for this step).

Architecture

Setup Instructions

1. Clone the Repository

git clone <repository-url>
cd aircraft-groundops-sync

2. Install Dependencies

npm install

3. Environment Configuration

Create a .env.local file with the following variables:

MONGODB_URI="<your-mongodb-connection-string>"
DATABASE_NAME="ground_ops_demo"
DATAWORKZ_API_KEY="your_api_key"
DATAWORKZ_SYSTEM_ID="your_system_id"
DATAWORKZ_LLM_PROVIDER_ID="your_llm_provider_id"
GCP_PROJECT_ID="<your-gcp-project-id>"
GCP_LOCATION="us-central1"
VERTEXAI_COMPLETIONS_MODEL="gemini-2.0-flash-001"
VERTEXAI_EMBEDDINGS_MODEL="text-embedding-005"
VERTEXAI_API_ENDPOINT="us-central1-aiplatform.googleapis.com"
NEXT_PUBLIC_ENV="local"
NEXT_PUBLIC_API_URL="http://localhost:3000"

4. Dataworkz RAG Setup

1. Log into your Dataworkz account
2. Create a new RAG application
3. Configure your knowledge base with aircraft operations documents
4. Note your DATAWORKZ_SYSTEM_ID and DATAWORKZ_LLM_PROVIDER_ID for the environment variables

5. Run the Application

Development

npm run dev

Open http://localhost:3000 to access the aircraft ground operations dashboard.

Production Build

npm run build

Features

• Real-time aircraft outbound operations checklist status monitoring and completion
• Intelligent document search and retrieval via voice through RAG application
• Speech-to-text and Text-to-seech operation logging