International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 6 (November-December 2025) Submit your research before last 3 days of December to publish your research paper in the issue of November-December.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 7 Issue 6
November-December 2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Designing For Data: How Front-End Developer Can Optimize UIs for AI-Powered Apps

Author(s) Sonu Kapoor
Country Canada
Abstract Most users look at the usability and simplicity of a UI, rather than how complex the AI algorithms are, to see how practical an AI application is. Even though AI powers the system, the front end brings human ideas into line with machine solutions. This research considers how front-end developers can design UIs to make AI systems more trusted, understandable, and easier to use. It concentrates on how to explain, visualize, quickly respond to, and interact with data all necessary for easy communication between humans and technology. By mixing practical design approaches, focusing on user experience, and examining healthcare, fintech, and recommender systems cases, we show methods to enhance performance and clarity. Adding better UI to our studies increased task speed by 20% and noticeably increased users' trust in the system after adding confidence indicators and the ability to navigate with sliders. Along with regular interface design issues, the paper also considers how ethics, a sense of autonomy, and making things easier for users now matter in AI. Managing unpredictability and guaranteeing accessibility in complex systems is also a primary responsibility of the developer. Now that generative AI and adaptive personalization tools are available, UIs in front-end development are starting to react to what users do and live data at any moment.
Keywords AI UX design, front-end development, explainable AI, user interface optimization, data visualization
Field Computer > Data / Information
Published In Volume 7, Issue 3, May-June 2025
Published On 2025-05-27
DOI https://doi.org/10.36948/ijfmr.2025.v07i03.46168
Short DOI https://doi.org/g9mn45
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 7 Isu 5Cover Page Vol 7 Isu 4Cover Page Vol 7 Isu 3

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com