Ayurvedic Referential Recommendation: A Smart Approach to Digital Healthcare

Year : 2025 | Volume : 12 | Issue : 02 | Page : 31 37
    By

    R.S.Patil,

  • Jadhav Tejaswi Kiran,

  • Amle Diksha Yogesh,

  • Maile Aditi Rajaram,

  • Angarkhe Kaveri Shivaji,

  1. Lecturer, Department of Computer Technology, Sanjivani K.B.P. Polytechnic, Kopargaon, Maharashtra, India
  2. Research Scholar, Department of Computer Technology, Sanjivani K.B.P. Polytechnic, Kopargaon, Maharashtra, India
  3. Research Scholar, Department of Computer Technology, Sanjivani K.B.P. Polytechnic, Kopargaon, Maharashtra, India
  4. Research Scholar, Department of Computer Technology, Sanjivani K.B.P. Polytechnic, Kopargaon, ,
  5. Research Scholar, Department of Computer Technology, Sanjivani K.B.P. Polytechnic, Kopargaon, Maharashtra, India

Abstract

Ayurveda stands as one of the most ancient healing systems. It takes a full-circle view of health zooming in on nature’s cures tailoring treatments and tweaking daily habits. But getting your hands on real Ayurvedic treatment can be tough. Not enough pros with the right certs, not to mention the real-deal herbal Things. So here’s a thought: the Ayurveda Medicine and Doctor Finder App. It’s this cool app mash-up of age-old Ayurveda smarts and today’s techy world. The app lets people meet with legit Ayurvedic docs, get custom treatment tips, and buy real herbal meds. They made it with Kotlin, Android Studio, and Firebase, and it’s got lots of cool parts like talking to doctors getting advice on cures, and shopping for Ayurvedic Things online. The user-friendly interface is slick and makes it super easy for Peoples to set up visits, look for ways to get better, and snag herbal treatments without a fuss. The research shines a light on the way online health services can bump up how easy and trustworthy Ayurvedic care is to get. The app uses a structured recommendation system to tailor advice to what is up with users’ health and their symptoms. Plus, the e-commerce module makes sure real deal herbal Things is there to grab so fake meds are less of a worry. The app also integrates secure data storage and user authentication through Firebase, ensuring patient information stays private and safe. Push notifications remind users about upcoming appointments, medicine refills, and health tips, helping them stay on track with their wellness journey. It even includes a review and rating system so users can share their experiences with specific doctors and remedies, building a community of trust. By bringing together verified practitioners, personalized guidance, and easy access to authentic products, the Ayurveda Medicine and Doctor Finder App bridges the gap between traditional healing and modern convenience – making holistic care more accessible, especially in remote or underserved areas.

Keywords: Ayurveda, Digital Healthcare, Herbal Remedies, Doctor Consultation, Mobile Application, Holistic Healing, E-commerce.

[This article belongs to Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy ]

How to cite this article:
R.S.Patil, Jadhav Tejaswi Kiran, Amle Diksha Yogesh, Maile Aditi Rajaram, Angarkhe Kaveri Shivaji. Ayurvedic Referential Recommendation: A Smart Approach to Digital Healthcare. Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy. 2025; 12(02):31-37.
How to cite this URL:
R.S.Patil, Jadhav Tejaswi Kiran, Amle Diksha Yogesh, Maile Aditi Rajaram, Angarkhe Kaveri Shivaji. Ayurvedic Referential Recommendation: A Smart Approach to Digital Healthcare. Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy. 2025; 12(02):31-37. Available from: https://journals.stmjournals.com/rrjoasyn/article=2025/view=213351


References

  1. Arefin MS, Rahman MM, Hasan MT, Mahmud M. A topical review on enabling technologies for the Internet of Medical Things: Sensors, devices, platforms, and applications. Micromach. 2024 Mar 30;15(4):479.
  2. Mishra A, Singh PK, Chauhan N, Roy S, Tiwari A, Gupta S, et al. Emergence of integrated biosensing-enabled digital healthcare devices. Sensors Diagn. 2024;3(5):718–44.
  3. Zhang K, Yang K, Liang X, Su Z, Shen X, Luo HH. Security and privacy for mobile healthcare networks: From a quality of protection perspective. IEEE Wirel Commun. 2015 Aug 27;22(4):104–12.
  4. Chourey V, Mehta R, Gautam S. Public health and medical management. In: Deep Learn Comput Vision: Models Biomed Appl. Vol. 1. Singapore: Springer Nat Singapore; 2025. p. 199–216.
  5. Sinha A, Sidana S, Rao GM, Rathore N, Raj S, Jha A, et al. Application of AI in Ayurvedic science healthcare practices: A detailed survey. In: Ethical Dimens AI Dev; 2025. p. 437–66.
  6. Liew MS, Zhang J, See J, Ong YL. Usability challenges for health and wellness mobile apps: Mixed-methods study among m Health experts and consumers. JMIR M health U health. 2019 Jan 30;7(1):e12160.
  7. Kumar A. Role of information technology in Ayurveda. Int J Ayurveda Res. 2023 Oct 1;4(4):197–202.
  8. Ahmed SA, Gahlawat G, Imam F, Saranya G. Ayur Chat: Empowering health through AI-driven Ayurvedic guidance. In: 2024 15th Int Conf Comput Commun Netw Technol (ICCCNT); 2024 Jun 24. p. 1–6. IEEE.
  9. Dhanalakshmi G, George VS. Security threats and approaches in E-Health cloud architecture system with big data strategy using cryptographic algorithms. Mater Today Proc. 2022 Jan 1;62:4752–7.
  10. Yang Y, Xu F, Chen J, Tao C, Li Y, Chen Q, et al. Artificial intelligence-assisted smartphone-based sensing for bioanalytical applications: A rev. Biosens Bioelectron. 2023 Jun 1;229:115233.
  11. Choudhary R, Kumar M, Shaikh AA, Arya D, Gupta S. Ayu Monk: Your all-in-one web companion for Ayurvedic harmony using ML. In: Int Conf ICT Digit Smart Sustain Dev; 2024 Apr 22; Singapore. Singapore: Springer Nat Singapore; 2024. p. 85–108.
  12. Manikandan A, Sanjay T, Menon G, Aswin R, Bhaskar PB, Govind RM, et al. Issues and challenges in security and privacy with e-Healthcare: A thorough literature analysis. In: Intern of Things Enabled Mach Learn for Biomed Appl. 2025. p. 222–47.
  13. Nivarthi CP, Akhilesh KB. Cybercare—Role of cyber security in healthcare industry. In: Smart Technol: Sco and Appl. 2020. p. 291–304.
  14. Singh R, Raj RS, Radha. Ensuring health for all: Examining the role of digital health in India. In: Intersecting Realities of Health Resilience and Governance in India: Emerging Domestic and Global Perspectives. Singapore: Springer Nature Singapore; 2025 Jan 24. p. 201–27.
  15. Singh H, Bhargava S, Ganeshan S, Kaur R, Sethi T, Sharma M, et al. Big data analysis of traditional knowledge-based Ayurveda medicine. Prog Prev Med. 2018 Sep 30;3(5):e0020.
  16. Musamih A, Salah K, Jayaraman R, Arshad J, Debe M, Al-Hammadi Y, et al. A blockchain-based approach for drug traceability in healthcare supply chain. IEEE Access. 2021 Jan 8;9:9728–43.
  17. Basudkar V, Gharat SA, Momin MM, Shringarpure M. A review of anti-aging nanoformulations: Recent developments in excipients for nanocosmeceuticals and regulatory guidelines. Crit Rev Ther Drug Carrier Syst. 2022;39(3).
  18. Vijayan V, Ajitha K. A review article on exploring the scope of AI in Ayurveda. Kerala J Ayurveda. 2024 Jun 26;3(2).
  19. Singh N, Sah A, Vartika, Mishra S, Malik V, Sobti R, et al. A hybrid Ayurvedic drug recommendation system with generative AI. In: Int Conf Innov Comput Commun; 2024 Feb 16. Singapore: Springer Nat Singapore; 2024. p. 175–86.
Regular Issue Subscription Original Research
Volume 12
Issue 02
Received 03/03/2025
Accepted 08/05/2025
Published 13/05/2025
Publication Time 71 Days
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