Full-Stack Web Development for Intelligent User Interfaces: Integration of MERN and Rails

Year : 2025 | Volume : 12 | Issue : 03 | Page : 15 25
    By

    Abid Hussain,

  1. Professor, School of Computer Application & Technology & Dean, Research Career Point University, Kota, Rajasthan, India

Abstract

In the modern era of web development, by providing users with flexible, responsive, and interactive designs, Intelligent User Interfaces (IUIs) greatly improve the user experience. A hybrid method for constructing intelligent, scalable, as well as efficient online apps is discussed in this review work, which focuses on the integration of Ruby on Rails with the MERN stack (MongoDB, React.js, Express.js, Node.js). The MERN stack excels in dynamic frontend development, while Ruby on Rails provides a robust backend framework, offering a powerful combination for building comprehensive full-stack solutions. The study explores the architectural benefits, integration techniques, and real-world applications of these technologies in the context of IUIs. Presenting a literature analysis of current works, this study emphasizes important trends and developments in intelligent interface full-stack web development. The study concludes by highlighting how the combination of MERN and Rails might propel user-centric, intelligent web applications.

Keywords: Full-stack web development, intelligent user interfaces (UI), MERN stack, ruby on rails, frontend development, backend APIs, web application architecture, user experience, scalability, real-time interaction

[This article belongs to Journal of Web Engineering & Technology ]

How to cite this article:
Abid Hussain. Full-Stack Web Development for Intelligent User Interfaces: Integration of MERN and Rails. Journal of Web Engineering & Technology. 2025; 12(03):15-25.
How to cite this URL:
Abid Hussain. Full-Stack Web Development for Intelligent User Interfaces: Integration of MERN and Rails. Journal of Web Engineering & Technology. 2025; 12(03):15-25. Available from: https://journals.stmjournals.com/jowet/article=2025/view=226967


References

  1. Singh G, Javed M, Dhaliwal BK. Full stack web development: Vision challenges and future scope. Int Res J Eng Technol. 2022 Apr; 9(04): 3083–3089.
  2. Sacks M. Web Testing Practices. InPro Website Development and Operations: Streamlining DevOps for Large-Scale Websites. Berkeley, CA: Apress; 2012; 27–43.
  3. Brdnik S, Heričko T, Šumak B. Intelligent user interfaces and their evaluation: a systematic mapping study. Sensors. 2022 Aug 4; 22(15): 5830.
  4. Baiskar Y, Paulzagade P, Koradia K, Ingole P, Shirbhate D. MERN: A Full-Stack Development. Int J Res Appl Sci Eng Technol. 2022 Jan; 10(1): 1029–35.
  5. Jazayeri M. Some trends in web application development. In IEEE Future of Software Engineering (FOSE’07). 2007 May 23; 199–213.
  6. Shethiya AS. Scalability and Performance Optimization in Web Application Development. Integrated Journal of Science and Technology (IJST). 2025 Jan 22; 2(1): 1–7.
  7. Singh B. Automating Security Testing in CI/CD Pipelines using DevSecOps Tools a Comprehensive Study. Science, Technology and Development. 2020 Dec; 9(12): 631–651.
  8. Petrikoglou A, Kaskalis TH. Full Stack Web Development Teaching: Current Status and a New Proposal. In WEBIST. 2019 Sep 18; 218–225.
  9. Soni M, Jyotinagar V. Sql vs nosql databases for the microservices: A comparative survey. In 2023 IEEE 2nd International Conference on Edge Computing and Applications (ICECAA). 2023 Jul 19; 17–22.
  10. Kadam P, Goplani A, Mattoo S, Gupta S, Amrutkar D, Dhanke J, Kadam Y. Introduction to MERN stack & comparison with previous technologies. Eur Chem Bull. 2023 Jun; 12(4): 14382–6.
  11. Nittur K, Chippagiri S, Zhidko M. Evolving Web Application Development Frameworks: A Survey of Ruby on Rails, Python, and Cloud-Based Architectures. International Journal of New Media Studies (IJNMS). 2020; 7(1): 28–34.
  12. Patel D. The Role of Amazon Web Services in Modern Cloud Architecture: Key Strategies for Scalable Deployment and Integration. Asian J Comput Sci Eng. 2024; 9(4): 1–9.
  13. Thokala VS. Enhancing user experience with dynamic forms and real-time feedback in web applications using MERN and Rails. Int J Res Anal Rev. 2023; 10(3): 87–93.
  14. Gupta S, Agrawal N, Gupta S. A review on search engine optimization: Basics. Int J Hybrid Inf Technol. 2016 May; 9(5): 381–90.
  15. Jadhav G, Gonsalves F. Role of Node. js in modern web application development. Int Res J Eng Technol. 2020 Jun; 7(06): 6145–50.
  16. Győrödi CA, Dumşe-Burescu DV, Zmaranda DR, Győrödi RŞ. A comparative study of MongoDB and document-based MySQL for big data application data management. Big Data Cogn Comput. 2022 May 5; 6(2): 49.
  17. Desai K, Fiaidhi J. Developing a Social Platform using MERN Stack. TechRxiv Preprints. 2023 Oct 30; 1–10.
  18. Aggarwal S, Verma J. Comparative analysis of MEAN stack and MERN stack. Int J Recent Res Asp. 2018 Mar 1; 5(1): 127–132.
  19. Kalava SP. Enhancing Software Development with AI-Driven Code Reviews. North American Journal of Engineering Research (NAJER). 2024 Apr 13; 5(2): 1–4.
  20. Soni A, Kumar A, Arora R, Garine R. Integrating AI into the Software Development Life Cycle: Best Practices, Tools, and Impact Analysis. Tools, and Impact Analysis. Available at SSRN. 2023 Jun 10.
  21. Wang J, Xu Z, Wang X, Lu J. A comparative research on usability and user experience of user interface design software. Int J Adv Comput Sci Appl. 2022; 13(8): 21–29.
  22. Sharma V, Tiwari AK. A study on user interface and user experience designs and its tools. World J Res Rev. 2021 Jun; 12(6): 41–5.
  23. Murri S, Chinta S, Jain S, Adimulam T. Advancing Cloud Data Architectures: A Deep Dive into Scalability, Security, and Intelligent Data Management for Next-Generation Applications. Well Testing Journal. 2024 Dec 29; 33(S2): 619–44.
  24. Hartmann M. Challenges in developing user-adaptive intelligent user interfaces. In LWA. 2009 Jan; ABIS-6.
  25. Goyal A. Optimising Software Lifecycle Management through Predictive Maintenance: Insights and Best Practices. Int J Sci Res Arch. 2022; 7(02): 693–702.
  26. Modalavalasa G, Bheri SP. Next-Generation AI-Powered Automation for Streamlining Business Processes and Improving Operational Efficiency. Journal of Computing Technologies (JCT). 2023 Dec; 12(12): 1–7.
  27. Fountain L. Ethics and the Internal Auditor’s Political Dilemma: Tools and Techniques to Evaluate a Company’s Ethical Culture. New York: Auerbach Publications; 2016 Dec 12.
  28. Ajah NG, Uchenyi K, Kesandu-Uchenyi O, Ejiogu EC. Application of Full Stack Web Development Technology in Load Flow Analysis for Real Time Electrical Power System Management. In 2024 IEEE International Conference on Power and Energy (PECon). 2024 Nov 4; 128–131.
  29. Supriya M, Rathinavel K, Radhakrishnan D. Development of a Comprehensive Learning Management System using Full Stack Technology: A Modern Approach to Educational Platforms. In IEEE 2024 5th International Conference on Data Intelligence and Cognitive Informatics (ICDICI). 2024 Nov 18; 1426–1431.
  30. Duan S, Wang Z, Wang S, Chen M, Zhang R. Emotion-aware interaction design in intelligent user interface using multi-modal deep learning. In 2024 IEEE 5th International Symposium on Computer Engineering and Intelligent Communications (ISCEIC). 2024 Nov 8; 110–114.
  31. Chaudhary N, Mittal N. Leveraging Mongo DB for Efficient Data storage in MERN. In 2024 IEEE 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). 2024 Mar 14; 1–6.
  32. Stefanidi Z, Margetis G, Ntoa S, Papagiannakis G. Real-time adaptation of context-aware intelligent user interfaces, for enhanced situational awareness. IEEE Access. 2022 Feb 18; 10: 23367–93.

Regular Issue Subscription Review Article
Volume 12
Issue 03
Received 19/06/2025
Accepted 02/08/2025
Published 12/09/2025
Publication Time 85 Days


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