No-Code and Low-Code Approach: AI Data-Driven Python Modules through Jakarta Faces Web App

No-Code and Low-Code Approach: AI Data-Driven Python Modules through Jakarta Faces Web App

Автор: Bala Dhandayuthapani V.

Журнал: International Journal of Information Engineering and Electronic Business @ijieeb

Статья в выпуске: 1 vol.17, 2025 года.

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This research presents a framework that integrates no-code and low-code approaches with AI-driven Python modules for data analysis and visualization, embedded within Jakarta Faces web applications through TCP socket communication. The framework addresses the challenge of enabling non-technical users to perform complex data analysis tasks without requiring extensive programming knowledge. By leveraging Python’s powerful data libraries, the system automates code generation based on user input, offering a seamless environment for data-driven decision-making. The proposed framework demonstrates significant benefits in democratizing access to AI tools, improving development efficiency, and fostering a user-friendly interface for real-time data analysis and visualization. Rigorous testing of the prototype indicates enhanced usability, scalability for moderate-sized datasets, and practical applications across multiple industries, including healthcare and education. This research contributes to the growing body of work on no-code and low-code platforms by offering a novel integration of Python-based data analysis into Java-based web environments, laying the groundwork for more accessible and scalable AI-driven solutions in web development.

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Data Analysis, Jakarta Faces, Low-Code, No-Code, Python, TCP, Visualization, Web Applications

Короткий адрес: https://sciup.org/15019660

IDR: 15019660   |   DOI: 10.5815/ijieeb.2025.01.04

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