Website Usability Using AI

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Year : 2025 | Volume : 12 | Issue : 02 | Page : –
    By

    Amey Mohole,

  • Rutuja Lomate,

  • Sudarshan Sanap,

  • Kaiwalya Koparkar,

  1. Student, Department of Computer Engineering, R. H. Sapat College of Engineering, SPPU, Nashik, Maharashtra, India
  2. Student, Department of Computer Engineering, R. H. Sapat College of Engineering, SPPU, Nashik, Maharashtra, India
  3. Student, Department of Computer Engineering, R. H. Sapat College of Engineering, SPPU, Nashik, Maharashtra, India
  4. Student, Department of Computer Engineering, R. H. Sapat College of Engineering, SPPU, Nashik, Maharashtra, India

Abstract

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 This research introduces a comprehensive framework that leverages artificial intelligence (AI), automated tools, and APIs to enhance the evaluation of website usability. The proposed framework integrates AI-driven models with traditional usability assessment techniques to create a more dynamic and effective evaluation process. Specifically, it utilizes Google Lighthouse to conduct in-depth audits on website performance, search engine optimization (SEO), and accessibility. Additionally, chatbot
APIs are incorporated to gather real-time user feedback, providing valuable insights into user behavior and interactions. To ensure the accuracy and reliability of AI-generated findings, conventional usability evaluation methods such as heuristic analysis and user surveys are employed for validation. By combining these approaches, the framework offers a holistic methodology that enables developers to identify usability issues, optimize website functionality, and enhance user experience. This research
underscores the importance of integrating AI-powered tools with human-centered evaluation techniques to meet the evolving demands of modern web development and deliver more efficient, user- friendly digital platforms.

Keywords: Website usability, artificial intelligence (AI), google lighthouse API, chatbot API, user experience (UX), heuristic evaluation, automated usability tools, usability testing, predictive analytics, human-computer interaction (HCI), website performance optimization, real-time feedback, adaptive systems

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

How to cite this article:
Amey Mohole, Rutuja Lomate, Sudarshan Sanap, Kaiwalya Koparkar. Website Usability Using AI. Journal of Web Engineering & Technology. 2025; 12(02):-.
How to cite this URL:
Amey Mohole, Rutuja Lomate, Sudarshan Sanap, Kaiwalya Koparkar. Website Usability Using AI. Journal of Web Engineering & Technology. 2025; 12(02):-. Available from: https://journals.stmjournals.com/jowet/article=2025/view=0



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Regular Issue Subscription Review Article
Volume 12
Issue 02
Received 18/02/2025
Accepted 22/03/2025
Published 19/04/2025
Publication Time 60 Days
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