Arogya Chintak

Registration ID: IJNRD_218067

Published ID: IJNRD2404443

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Om Loyare, Alisha Raut, Ayushi Shet, Bhavika Thakur

Arogya Chintak, Mobile health app, AI,, Machine Learning, Ayurveda, Prakruti, Personalized healthcare, Dosha Prediction, Tongue image analysis, Survey, Prakruti indentification, Ckinical studies.

Arogya Chintak is a groundbreaking mobile application that is poised to revolutionize the way individuals understand, manage, and take control of their health. This innovative and intelligent app harnesses the power of advanced AI and natural language processing to provide users with swift, precise, and personalized insights into their health concerns. The exploration of Ayurvedic practices and personalized healthcare in the literature encompasses various dimensions, including the application of machine learning models for Prakruti identification [1]. Studies delve into the correlation between Prakruti and Sharirika Bala [2], employing intelligent Prakruti assessment with machine learning classifiers [3], and conducting clinical observational studies on Prakruti [4]. Ayurgenomics is utilized for drug discovery [5], while ensemble machine learning methods contribute to dosha prediction [6]. Surveys on human Prakruti and Tridosha [7] provide valuable insights, and a portable pulse detector is developed using artificial neural networks [8]. Recent advances underscore the fusion of genomics and Ayurveda [9], highlighting technology's transformative potential. The computerized pragmatic assessment of Prakruti Dosha using tongue images demonstrates the integration of modern tools into Ayurveda for personalized treatments [11]. Clinically adaptable Prakruti assessment tools are developed, emphasizing India's rich medical heritage [13] and the crucial role of Prakriti assessment in tailoring personalized Ayurvedic treatments [14]. The convergence of Ayurveda and traditional systems opens avenues for herbal drug discovery [15]. In summary, these studies collectively illustrate the synergy between technology and Ayurvedic wisdom, offering innovative approaches to holistic healthcare.

Published Paper   E-Certificate

Om Loyare, Alisha Raut, Ayushi Shet, & Bhavika Thakur (April-2024). Arogya Chintak. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), e394-e401. https://ijnrd.org/papers/IJNRD2404443.pdf

Volume 9 Issue 4, April-2024

Pages : e394-e401

Paper Reg. ID: IJNRD_218067

Published Paper Id: IJNRD2404443

Downloads: 000122255

Research Area: Computer Science & Technology 

Author Type: Indian Author

Country: Virar, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404443.pdf

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