AI-Powered Material Entry Validator for Shipyards

The AI-Powered Material Entry Validator ensures the correct entry and storage of material records at a shipyard. The project includes a backend API for AI-based validation and data storage, and a frontend interface for user interaction. The backend is built with Node.js and Express, while the frontend uses Vue.js and Bootstrap for a responsive and user-friendly experience. The project leverages OpenAI's capabilities to validate material entries, ensuring accuracy and compliance with required formats. The project is Dockerized for easy deployment and scaling.

Features

• AI-Powered Validation: Ensures material records are correctly entered based on predefined criteria.
• Suggestion System: Provides suggestions for material records based on existing entries in malzemeler.json.
• Real-Time Data Entry: Validates data as it is entered and lists similar existing records for comparison.
• Responsive Interface: Built with Vue.js and Bootstrap.
• Dockerized Deployment: Easy setup and scaling with Docker.

Installation

1. Clone the repository:

   git clone https://github.com/YOUR_GITHUB_USERNAME/material-save.git

2. Navigate to the project directory:

   cd material-save

3. Create a .env file in the backend directory and add your OpenAI API key:

   OPENAI_API_KEY=your_openai_api_key_here

4. Build and run the Docker containers:

   sudo docker-compose up --build

Usage

• Frontend Interface: Available at http://localhost.
• Backend API: Available at http://localhost:3000.

Backend Endpoints

• /suggest: Suggests similar material records based on query parameters.
• /submit: Submits a new material record after checking for duplicates.
• /ask-ai: Uses OpenAI to validate material records.

Contributing

Contributions are welcome! Please open an issue or submit a pull request.

License

This project is licensed under the MIT License.