http://www.milestoneresearch.in/JOURNALS/index.php/IJCLI <p>International Journal of Computational Learning &amp; Intelligence is a peer reviewed journal published under Milestone Research Foundation (MRF). It publishes original research work/reviews/editorials on all futuristic aspects of computational learning and intelligence. The targeted papers should demonstrate the use and need of traditional techniques in computational learning and intelligence with impactful social relevance.</p> Milestone Research Foundation en-US International Journal of Computational Learning & Intelligence <p>CC Attribution-NonCommercial-NoDerivatives 4.0</p> http://www.milestoneresearch.in/JOURNALS/index.php/IJCLI/article/view/263 <p style="font-weight: 400;">In recent years, the demand for rapid digital transformation has led to the widespread use of no-code and low-code platforms for website creation. However, most existing systems still rely heavily on drag-and-drop interfaces, template-based layouts and multi-stage editing processes, which can overwhelm beginners and restrict creative flexibility. To address these challenges, this paper presents Cradle, an AI-powered web development tool that enables users to generate fully functional, responsive websites using only a single natural-language prompt. Cradle integrates a semantic interpretation engine, a generative layout model and a live rendering environment to eliminate traditional barriers in web design. The system instantly converts human-written descriptions into structured HTML, CSS and JavaScript code while providing real-time preview and inline editing capability. This article explains the overall architecture, workflow, algorithmic approach, and evaluates Cradle’s performance against existing no-code platforms. Experimental results show significant improvements in generation time, usability, cognitive load, and design consistency. Cradle demonstrates the potential of AI-augmented development tools to democratize web creation and enhance productivity for both technical and non-technical users.</p> B Anuradha Abishekram R Brindha J Kiran Raaj G L Copyright (c) 2025 B Anuradha, Abishekram R, Brindha J, Kiran Raaj G L https://creativecommons.org/licenses/by-nc-nd/4.0 2025-12-01 2025-12-01 5 1 894 903 10.5281/zenodo.17776242 http://www.milestoneresearch.in/JOURNALS/index.php/IJCLI/article/view/264 <div><span lang="EN-IN">The Wellnix App is an innovative AI-powered clinic management system that aims to simplify healthcare operations by integrating appointment scheduling, billing, insurance processing, and AI chatbot assistance into one intelligent platform. The system enables seamless interaction between patients, doctors, and clinic administrators, minimizing manual errors and improving overall efficiency. The AI chatbot offers personalized support, answering patient queries and managing appointments through natural language interaction. Billing and insurance processes are automated to ensure transparency and fast transactions. The system leverages a modular design, data encryption, and responsive web technologies for reliability, security, and scalability. By combining artificial intelligence, automation, and modern web technologies, Wellnix transforms the way clinics operate—reducing administrative workload, enhancing patient satisfaction, and enabling real-time healthcare management across multiple devices and locations.&nbsp; </span></div> B Anuradha Sahana M Yashindhiya V N Vimal Kumar K Arveen R Copyright (c) 2025 B Anuradha, Sahana M, Yashindhiya V N, Vimal Kumar K, Arveen R https://creativecommons.org/licenses/by-nc-nd/4.0 2025-12-01 2025-12-01 5 1 904 910 10.5281/zenodo.17776673 http://www.milestoneresearch.in/JOURNALS/index.php/IJCLI/article/view/265 <div><span lang="EN-GB">UrbanMind is an AI-powered city planning application that helps urban developers and planners predict how cities will evolve using real-time data and AI simulations. The app gathers live data on traffic, air quality, and population growth to create predictive city models. Users can test different planning scenarios, analyze their outcomes, and visualize future urban developments. UrbanMind enhances sustainable and data-driven city planning through its real-time dashboard, interactive 3D maps, and accessible interface for all users. </span></div> N Ganitha Aarthi Jothika T R Ritika S B Mohan Priyan M Shaik Dawood M Copyright (c) 2025 N Ganitha Aarthi, Jothika T R, Ritika S B, Mohan Priyan M, Shaik Dawood M https://creativecommons.org/licenses/by-nc-nd/4.0 2025-12-07 2025-12-07 5 1 911 919 10.5281/zenodo.17847737 http://www.milestoneresearch.in/JOURNALS/index.php/IJCLI/article/view/267 <div><span lang="EN">This paper introduces PureFarm, a comprehensive AI-powered agricultural technology solution developed to address critical challenges faced by farmers, including low crop yield, unfair pricing, post-harvest spoilage, and limited sustainability practices. PureFarm, developed by Indigo Ag, leverages advanced AI and digital integration to expand its support for a broader farmer base. The solution provides real-time crop advisory, facilitates fair market access, and promotes sustainable farming through tools like a carbon footprint calculator and regenerative farming guidance. PureFarm aims to streamline farming workflows, improve financial outcomes for farmers, and drive greater environmental stewardship within the agricultural supply chain.</span></div> R Tamilselvi Monika Shuhaina Kavin Mathesh Kanna Copyright (c) 2025 R Tamilselvi, Monika, Shuhaina, Kavin, Mathesh Kanna https://creativecommons.org/licenses/by-nc-nd/4.0 2025-12-08 2025-12-08 5 1 920 927 10.5281/zenodo.17854627