Prakriti Bot-Intelligent Prakriti Analysis Chatbot for Personalized Ayurvedic Suggestions

Abstract

The ancient Indian medicinal system, Ayurveda classifies persons into three Prakriti types Vata, Pitta, and Kapha which determine their well-being both physically and mentally as well as emotionally. The traditional assessment of Prakriti is rarely a lengthy process and quite subjective that requires the consultation of an expert, Ayurvedic practitioner. This paper explores the amalgamation of Deep Learning (DL) with Natural Language Processing (NLP) to conceive the notion of Prakriti Bot, an AI-enabled chatbot designed for tailored Ayurvedic assessments. Prakriti Bot has an interactive questionnaire for the users and analyzes the answers through Deep Learning algorithms to find out their Prakriti. The chatbot offers customized health recommendations, including dietary guidelines, lifestyle modifications, and wellness tips based on Ayurvedic principles. The research emphasizes the convergence of traditional Ayurvedic principles and modern artificial intelligence, showcasing the potential of chatbot-based assessments to facilitate Prakriti evaluation thereby enhancing the correctness of diagnosis and promoting comprehensive well-being. Through better accessibility, scalability, and personalization of Ayurveda, this study opens new avenues for further development in AI-driven personalized medicine.

Country : India

1 Dr. K. Hemalatha2 G. Vinay3 Sai Bhavya Sree R4 Yaseen S5 Thrilok K

  1. Assistant Professor, Dept. of Computer Science and Engineering (Artificial Intelligence), MITS, Madanapalle, Andhra Pradesh, India
  2. UG Student, Dept. of Computer Science and Engineering (Artificial Intelligence), MITS, Madanapalle, Andhra Pradesh, India
  3. UG Student, Dept. of Computer Science and Engineering (Artificial Intelligence), MITS, Madanapalle, Andhra Pradesh, India
  4. UG Student, Dept. of Computer Science and Engineering (Artificial Intelligence), MITS, Madanapalle, Andhra Pradesh, India
  5. UG Student, Dept. of Computer Science and Engineering (Artificial Intelligence), MITS, Madanapalle, Andhra Pradesh, India

IRJIET, Volume 9, Special Issue of INSPIRE’25 April 2025 pp. 337-342

doi.org/10.47001/IRJIET/2025.INSPIRE54

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