article Open access

XAI Yoga Guru

Research footprint

At a glance

Citations
0
References
4
Comments
0
Paper overview

Öz

The evolution of yoga has been remarkable and beneficial over the years as it is a discipline focused on an individual’s physical, mental, and overall emotional well-being. It is very common in today's world but still follows a traditional one-size-fits-all method. This can be problematic as it does not accommodate the broad range of diverse individual per practitioner’s health conditions, limitations, or needs. To address that, our current work presents XAI Yoga Guru, a personalized yoga pose suggesting system that uses Machine Learning, Explainable Artificial Intelligence (XAI) and Retrieval-Augmented Generation (RAG). The system gathers a user’s medical information along with their preferences and suggests unique yoga poses fit for their requirements. Most importantly, each recommendation given is accompanied by an interpretable explanation that shows why the recommendation was made, which improves user trust, safety, and understanding. The blend of personalization with explainability enables users to practice yoga more safely while helping them achieve their wellness goals effectively. The approach taken XAI alongside yoga shows there is a possibility of developing new advanced technologies in wellness catered for specific users’ needs.

Record transparency

Publication details

DOI
10.38124/ijisrt/25apr2276
OpenAlex
W4410549273
Document type
article
Language
EN
Last metadata update
Community

Comments

Oturum Açın to join the discussion.

  1. No comments yet. Start the discussion.