Authors : Girish R; Sheerin Farjana M; Jeevitha S; Surya B; Krishna Kumar V

Volume/Issue : Volume 9 - 2024, Issue 12 - December

Google Scholar : https://tinyurl.com/bdzffkph

Scribd : https://tinyurl.com/3jzbx5fu

DOI : https://doi.org/10.5281/zenodo.14512598

Abstract : Code developers and students often face challenges in translating code across various programming languages. An efficient code converter is vital to ensure accurate translations and minimize the time spent on manual rewriting. In today’s fast-paced development environment, the ability to seamlessly transition code between languages enhances productivity and streamlines workflows, enabling developers to focus on higher-level tasks. However, many existing code converter tools fall short in key areas. A major issue is the production of inaccurate translations, which can introduce bugs and functional discrepancies that hinder development. Furthermore, these tools often lack customization options, limiting developers' ability to tailor conversions to specific needs. This lack of flexibility complicates debugging, as unclear representations of the original logic make it harder to identify and resolve issues. This project addresses these challenges with an AI powered code conversion tool designed to automate translation and analysis across multiple programming languages, including Java, Python, and C++. This innovative solution ensures functional equivalence by preserving the original code’s performance and logic during the conversion process. It incorporates a code converter for automated syntax translation and a code analyzer that identifies vulnerabilities, verifies logical consistency, and suggests performance optimizations. By overcoming common pitfalls of existing converters, this tool enhances flexibility and usability, empowering developers and students to work confidently with diverse programming languages. With features like customizability and comprehensive analysis, the tool facilitates a more effective software development process, helping users harness the potential of different programming environments without compromising quality.

Keywords : AI-Powered Code Conversion, Code Analysis, Programming Language Translation, Automated Code

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