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@article{174047,
        author = {A. SUBHALAKSHMI and KANURU LIKHITHA and AKULA SUDEEP and BODAPATI BABU CHIRANJEEVI and KISHORE CHOPPALA},
        title = {Assistive Coding with AI: Auto- Generated Code and Voice Commentary},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {2362-2368},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174047},
        abstract = {This project redefines traditional coding practices by integrating advanced artificial intelligence and text-to- speech technologies. Historically, code generation and documentation have been manual processes, often prone to inconsistencies and inefficiencies. This innovative tool revolutionizes the development workflow by transforming plain language descriptions into functional code, complemented by automatically generated, context-aware comments.
The inclusion of a voice assistance feature enhances accessibility by reading comments aloud, enabling hands- free interaction and promoting inclusivity, especially for visually impaired users. Real-time auditory feedback empowers developers to remain productive in fast-paced environments without requiring constant visual focus on the screen.
By leveraging natural language processing and voice synthesis, this tool establishes a new benchmark in efficient and accessible coding practices. It bridges the gap between human and machine interaction, streamlines the software development lifecycle, and significantly enhances productivity—marking a transformative advancement in modern software development methodologies.},
        keywords = {},
        month = {March},
        }