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@article{194532,
        author = {Esakkiammal. S},
        title = {CODEGENIE: Voice and Image Driven Automated Software Development Assistant},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {4024-4026},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194532},
        abstract = {Artificial Intelligence is playing an important role in modern software development. Developers often require assistance to generate code and understand programming concepts. This paper presents CodeGenie, a voice and image driven automated software development assistant that helps users generate programming code using natural language input.
The system integrates Google Gemini API to process user queries and generate appropriate code responses. Users can provide input through text, voice commands, or images, making the system more flexible and user-friendly. The backend is developed using Python and Flask, which manages communication between the user interface and the AI model. The proposed system helps developers and students by providing quick coding support and improving productivity.},
        keywords = {Artificial Intelligence, Code Generation, Voice Input, Image Processing, Gemini API, Software Development Assistant},
        month = {March},
        }