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Legacy Code Migration

Developed an AI-driven solution to automate the migration of legacy code from Delphi, COBOL, and VB to modern technologies such as C and Java, significantly reducing manual effort and errors. It utilizes machine learning models like Deep Q-learning and Natural Language Understanding (NLU) to analyze and translate legacy code snippets. The application also features a chatbot powered by GPT-3 API to assist users with code documentation and queries.

🚀 Features

  • Automated Legacy Code Migration – Converts legacy code (e.g., Delphi, COBOL, VB) to modern languages (e.g., Java, C).
  • Machine Learning-Based Analysis – Uses Deep Q-learning and NLU to improve translation accuracy.
  • Chatbot Integration – Powered by GPT-3 API, it helps with code documentation and user queries.
  • User-Friendly Interface – Built with React.js and Tailwind CSS.
  • Backend Server – Implemented using Flask for seamless API interactions.

🛠 Tech Stack

Frontend

  • React.js
  • Tailwind CSS

Backend

  • Flask

Machine Learning Models

  • Deep Q-learning
  • Natural Language Understanding (NLU)

📌 Installation & Setup

  1. Clone the repository:

    git clone https://github.com/Sumith-2003/Legacy-Code-Migration.git
    cd Legacy-Code-Migration
  2. Install frontend dependencies:

    cd project
    npm install
    npm run dev

    The frontend should now be running at http://localhost:5173.

  3. Install backend dependencies:

    cd backend
    pip install -r requirements.txt
    python app.py

    The backend should now be running at http://localhost:5000.

📖 Usage

  1. Upload or paste legacy code into the interface.
  2. Select the target programming language for migration.
  3. The AI-powered system will analyze and convert the code.
  4. Use the chatbot for documentation and code-related queries.

💡 Future Enhancements

  • Support for additional programming languages.
  • Improved AI model accuracy for complex code migrations.
  • Integration with cloud services for scalable processing.

📜 License

This project is open-source and available under the MIT License.


🚀 Contributions & Issues
Feel free to fork this repository, raise pull requests, or report issues!
For any queries, contact Sumith.


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