Abstract
In this era, finding a right AI tool can be challenging due to the availability of many out there. Inorder to overcome such a scenario of thinking over 10,000 AI tools. In this paper describes about a special dashboard that suggests AI tools for various purposes. . In ths AI tool system looks at what you do, your role, and what you need to offer some ideas. AI tool is build using the machine learning techniques, watching how people use the tools and getting smarter over time. And guess what? It works pretty well! People got skills aster (97% faster!), and way more people got involved (95%!). The suggestions were much better, too (over 15% better!). Even folks who were brand new to the system got good suggestions. Plus, cut down on the number of irrelevant suggestions. All in all, this should make AI way easier to find and use, which should help people get more done and learn new things.
Keywords
Artificial Intelligence, Recommendation Systems, User Personalization, Machine Learning, Behavioral Analytics, Collaborative Filtering, User Experience, Productivity Enhancement, Tool Discovery.
Citations
IRE Journals:
Arya Devi M R, Anusha Kabasi, Kumari Riya, Sakshi Kumari "AI for All: An Empirical Study on Accessibility and Adoption Trends" Iconic Research And Engineering Journals Volume 9 Issue 6 2025 Page 978-985 https://doi.org/10.64388/IREV9I6-1712826
IEEE:
Arya Devi M R, Anusha Kabasi, Kumari Riya, Sakshi Kumari
"AI for All: An Empirical Study on Accessibility and Adoption Trends" Iconic Research And Engineering Journals, 9(6) https://doi.org/10.64388/IREV9I6-1712826
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