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Evaluation of a Platform that Optimizes User Interaction Real-Time Google Trends-based AI Blog

by Pavan K. Kommi, Sai V. Avula, Ankita Maharjan, Suhair Amer
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 50
Year of Publication: 2025
Authors: Pavan K. Kommi, Sai V. Avula, Ankita Maharjan, Suhair Amer
10.5120/ijca2025925876

Pavan K. Kommi, Sai V. Avula, Ankita Maharjan, Suhair Amer . Evaluation of a Platform that Optimizes User Interaction Real-Time Google Trends-based AI Blog. International Journal of Computer Applications. 187, 50 ( Oct 2025), 67-74. DOI=10.5120/ijca2025925876

@article{ 10.5120/ijca2025925876,
author = { Pavan K. Kommi, Sai V. Avula, Ankita Maharjan, Suhair Amer },
title = { Evaluation of a Platform that Optimizes User Interaction Real-Time Google Trends-based AI Blog },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2025 },
volume = { 187 },
number = { 50 },
month = { Oct },
year = { 2025 },
issn = { 0975-8887 },
pages = { 67-74 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number50/evaluation-of-a-platform-that-optimizes-user-interaction-real-time-google-trends-based-ai-blog/ },
doi = { 10.5120/ijca2025925876 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2025-10-23T00:18:35.957229+05:30
%A Pavan K. Kommi
%A Sai V. Avula
%A Ankita Maharjan
%A Suhair Amer
%T Evaluation of a Platform that Optimizes User Interaction Real-Time Google Trends-based AI Blog
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 50
%P 67-74
%D 2025
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper evaluates the Radiorogue platform [1], which generates real-time content with AI and Google Trends. Inspired by Human-Computer Interaction (HCI) concepts, the design emphasizes user-centered strategies to provide intuitive and efficient interface. To effectively fulfill the demands of users, the process includes gathering requirements, iterative prototyping, and usability testing. Key strategies include simplifying navigation, increasing content discoverability, and minimizing cognitive burden, allowing for seamless exploration of popular AI-generated blogs. By prioritizing real-time performance, rapid content delivery, and cost-effectiveness this platform provides responsive and scalable user experience.

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Index Terms

Computer Science
Information Sciences

Keywords

AI-Generated Blogs Google Trends Human-Computer Interaction (HCI) User-Centered Design

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