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@article{206424,
        author = {Bhagyashre kalavant and Rashmi Bagali and Vanita Jadhav and Prajakta Satarkar and Swati Pawar},
        title = {Code Marph AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {2},
        pages = {1594-1600},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=206424},
        abstract = {The growing diversity of programming languages has created significant challenges in software migration, code maintenance, and cross-platform development. Developers often spend considerable time manually rewriting code when transitioning between programming languages, increasing development costs and introducing potential errors.
The proposed platform integrates advanced AI models with modern web technologies to provide accurate, context-aware code translation [1].
The rapid growth of software development has increased the demand for efficient source code translation between different programming languages. Manual code conversion is often time-consuming and error-prone, requiring expertise in multiple programming languages. This paper presents an AI Multi-Language code Translator, a web-based application that automatically translates source code from one programming language to another using a Large Language Model (LLM). The proposed system integrates Node.js, Express.js, MongoDB, JWT Authentication, and Ollama with the Qwen 2.5 Coder model to provide fast, secure, and accurate code translation. The application Includes user registration and login with improved efficiency and scalability.},
        keywords = {},
        month = {July},
        }