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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68470
Volume:
10 |
10 |
Oct 2026
Pages:
1-6
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Computer Engineering
R.C.Patel Institute of Technology Shirpur, India
Computer Engineering
R.C.Patel Institute of Technology Shirpur, India
Computer Engineering
R.C.Patel Institute of Technology Shirpur, India
Computer Engineering
R.C.Patel Institute of Technology Shirpur, India
Computer Engineering
R.C.Patel Institute of Technology Shirpur, India
In the digital age, modern websites are crucial for portraying companies, institutions, and services. However, a lot of websites have problems with performance, search engine optimization (SEO), usability, accessibility, and inconsistent design, all of which can have a detrimental impact on the user experience. It takes a lot of time and technological know-how to evaluate websites manually. UXSense AI is suggested as an intelligent platform for automated website analysis and UI/UX optimization in order to address these issues. Users can submit a website's uniform resource identifier (URL) to the system, which then evaluates the website's HTML structure, layout, accessibility, performance, search engine optimization (seo), and content quality. To gather pertinent website data, web crawling and data extraction techniques are employed. To assess the gathered data and spot possible usability and design problems, artificial intelligence (AI), computer vision, and natural language processing (NLP) tools are applied. The system produces an overall website score and practical suggestions for enhancing search engine optimization (SEO), usability, accessibility, performance, and visual design based on the analysis. To assist customers in comprehending the problems found and recommended fixes, a comprehensive report is offered. In order to help developers, designers, and organizations create more efficient, accessible, and user-centered digital experiences, UXSense AI serves as an AI-powered website consultant.
KEYWORDS
The UXSense AI platform may be enhanced by adding more features to its two primary modules, the Website Analysis Module and the UI/UX Design Generation Module. Future work in the Website Analysis Module may use sophisticated AI and machine learning techniques to more precisely identify usability flaws, design inconsistencies, accessibility problems, search engine optimization (SEO) concerns, and performance-related variables. Other options to expand the module include quantitative evaluation using larger and more diverse website datasets, continuous website monitoring, and comprehensive WCAG-based accessibility testing. More advanced AI-based design generation, personalized design recommendations, support for language prompts, and the development of complex interfaces with reusable components, typography, color schemes, and responsive layouts are all possible future improvements to the UI/UX Design Generation Module. The module can also be integrated with frontend frameworks and design and development tools such as Figma to export generated designs as editable designs or reusable code components. A major future development would be the integration of both modules, whereby the Website Analysis Module identifies usability and design problems in an existing website and the UI/UX Design Generation Module uses those findings to produce an improved interface. Additionally, both modules can be supported by cloud-based deployment to improve scalability and accessibility. These enhancements can make UXSense AI more comprehensive by combining automated website evaluation and intelligent UI/UX design generation into a single platform.
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Publication Date
10/29/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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