ExpersionXbot: Prakriti Assessment System


EOI: 10.11242/viva-tech.01.07.021

Download Full Text here



Citation

Om Loyare, Alisha Raut, Ayushi Shet, Bhavika Thakur, "ExpersionXbot: Prakriti Assessment System", VIVA-IJRI Volume 1, Issue 7, Article COMP_21, pp. 1-7, 2024. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

This paper introduces ExpersionXbot, a system designed for Prakriti assessment in Ayurveda. Prakriti is a fundamental concept in Ayurveda that refers to an individual’s unique physical and mental constitution. By utilizing advanced machine learning algorithms, ExpersionXbot offers an automated approach to assess Prakriti based on various parameters such as physiological and psychological traits. The system is intended to assist healthcare professionals in personalized medicine by providing an objective assessment of an individual’s Prakriti, thereby improving the accuracy and efficacy of Ayurvedic treatments.

Keywords

Prakriti Assessment, Ayurveda, Machine Learning, ExpersionXbot, Personalized Medicine, Ayurveda-based Health System.

References

  1. Lakshmi Bheemavarapul, K Usha Rani “Machine Learning Models Used For Prakruti Identification Using Prasna Pariksha In Ayurveda” 2023, Mathematical Statistician And Engineering Application.
  2. Dr. Manish Kumar, Dr. Srikanta Kumar Panda, Dr. Shubhangi Mishra “A Review on Relation of Prakruti with Sharirika Bala” 2022, IJSHR.
  3. Majumder, Saibal, Kutum, Rintu, Khatua, Debnarayan, Sekh, Arif Ahmed, Samarjit, Mukerji, Mithali Prasher, Bhavana “On intelligent Prakruti assessment in Ayurveda: a comparative study” 2023, IOSpress.
  4. Dr. Vedashri Abhijit Kalavde, Dr. Prakash Mane, Umesh Ghate “A Clinical observational study on Prakruti and its Application in Ayurveda” 2023, Journal of Pharmaceutical Negative Result.
  5. Swati Dhole, Yedey S.E. “A Review Paper on Identification of Ayurvedic Prakriti Types” 2023.
  6. Zoufang Huang, Vivek P. Chavda, Rajashri Bezbaruah, Vladimir N. Uversky, Sucharitha P., Aayushi B. Patel, and Zhe-Sheng Chen “An Ayurgenomics Approach: Prakruti-Based Drug Discovery and Development for Personalized care” 2022, ResearchGate.
  7. Vani Rajasekar, Sathya Krishnamoorthi, Muzafer Saracevic “Ensemble Machine Learning Methods to Predict the Balancing of Ayurvedic Constituents in the Human Body” 2022, ResearchGate.
  8. Abdul Kareem, Yoganandham Govindharaj “The Indian Medicine System and Homeopathy- An Overview”, 2022.
  9. Arpit Trivedi, Dr. Dharmendra Patel “Survey on Human Prakruti and Tridosha (Vata, Pitta and Kapha) Based on Physiological Features Using Machine Learning and Image Processing” 2022, ResearchGate.
  10. Sonali Joshi, Preeti Bajaj “Design & Development of Portable Vata, Pitta & Kapha [VPK] Pulse Detector to Find Prakruti of an Individual using Artificial Neural Network” 2021, IEEE.
  11. Abhilash Mangampadath “Development of a Clinically useful tool for Prakriti Assessment“ 2022.
  12. Zoufang Huang, Vivek P. Chavda, Rajashri Bezbaruah, Sucharitha P., Vladimir N. Uversky “Recent Advances in assessment and application of Prakruti” 2020, ResearchGate.
  13. Joshi Manisha, Umadevi, Akshitha Raj B N “Computerized pragmatic assessment of Prakruti Dosha using tongue images- Pilot study” 2020, ResearchGate.
  14. Vinotha Sanmugarajah “A Study of the Standard Tool for Prakriti Assessment in Indigenous Medicine” 2019.
  15. Yogini S. Jaiswal, Leonard L. Williams “A Glimpse of Ayurveda – The forgotten history and principles of Indian Traditional Medicine” 2020.