Automated Question-Answering System for Yoga: Enhancing Access to Yogic Knowledge

Yoga is an age-old discipline that has become increasingly well-liked in recent years due to its many physical, mental, and spiritual advantages. For both novices and aficionados, it might be difficult to get precise and customized information regarding yoga techniques and philosophy. This study presents a novel remedy called the Automated Question-Answering System for Yoga (AQASY). With the help of machine learning algorithms, natural language processing (NLP) methods, and domain-specific expertise, AQASY offers users immediate answers to questions on yoga asanas, practices, philosophy, and lifestyle. To give precise and contextually appropriate answers, the algorithm is trained on an extensive archive of authentic yoga texts, instructional videos, and expert-curated information. The concept, development, and assessment of AQASY are presented in this study along with an emphasis on its features, performance indicators, and user input. By means of AQASY, individuals can obtain tailored direction, perspectives, and suggestions to enhance their comprehension and application of yoga, promoting overall well-being and development.