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@article{163007,
        author = {Ms. Namrata Soni  and Ms. Dipali Kirange and Aftab Mulani },
        title = {Leveraging Artificial Intelligence for Technology Stack Conversion},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {11},
        pages = {647-649},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=163007},
        abstract = {In contemporary software development, the choice of technology stack can significantly impact project outcomes. However, as technology evolves, the need often arises to convert projects from one stack to another to harness the benefits of emerging platforms. This paper presents a novel approach to technology stack conversion using artificial intelligence (AI). Focusing on a case study from React to Flutter, we propose a system where users can specify their desired technology stack, and AI-driven tools seamlessly convert the project while preserving its functionality and logic. We discuss the underlying principles, challenges, and implications of this approach, highlighting its potential to streamline development processes and enhance cross-platform compatibility.},
        keywords = {Technology stack conversion, Artificial Intelligence, React, Flutter, Cross-platform development},
        month = {},
        }