The Virtual Herbal Garden: A Digitally Immersive Solution for Medicinal Plant Education and Wellness Support

Authors: Arnav Gharpure , Gaurav Bhendekar, Aditya Gangarde , Ayush Gedam, Sanskar Ghadge , Harsh Ghotkar, Somesh Gawande, Yogen Gharge

DOI Link: https://doi.org/10.22214/ijraset.2025.75762

Certificate: View Certificate

Abstract

This paper is based on “The Virtual herbal Garden” a user-friendly web-based platform designed to digitally represents the diversity of medicinal plants, herbs, and flowers. Taking advantage of 3D modelling, high – resolution imagery, and interactive chats, the website delivers an engaging and informative user experience. A special highlight of this platform is its AI-powered chatbot, capable of providing herbal recommendations for various physical and psychological ailments. This aspect brings out the feature of the site, educational and wellness objective. In addition, the website has the capability of Google Translate API of support of many languages, extensive comprehensive plant database,growing strategies, and availability of informational materials.

Introduction

The Virtual Herbal Garden is a digital platform that integrates traditional Ayurvedic knowledge with modern technology to educate users about medicinal plants. It provides an interactive 3D environment where users can explore plants’ botanical features, cultivation methods, therapeutic uses, and safety guidelines. An AI-powered chatbot offers personalized herbal advice, while a multilingual interface ensures accessibility for a global audience. The platform also includes a comprehensive, verified herbal database, easy navigation tools, and a community forum to facilitate peer learning and engagement. Overall, it serves as an educational, interactive, and inclusive system that combines ancient herbal wisdom with contemporary digital learning.

Conclusion

Virtual Herbal Garden is a new form of advertising traditional (Ayurvedic) health practices. Using 3-D visualizations, chatbot system based on AIs, and several, it becomes accessible to learning because of language availability medical plants and Ayurvedic experience. This site does not only teach people, but it also provides them with by administering them the researched correctly and individually herbal recommendations. It also provides information in alternate languages which implies that it is available to a nationwide people, more so people who remain in the small towns and rural areas. Virtual Herbal Garden is one of the threads, which links the past healing processes into the new age. It reinstalls natural solutions to healthiness in an easy-to-use form which is fascinating to the present electronic age, and which brings back to mind more consciousness and exploitation of plant maintenance. The project is expected to expand the market since the demand of medicine is on a continued increase plays a great role in education, innovativeness, and custom in one easy platform

References

[1] Charaka Samhita – Ayurvedic Classical Text [2] Google AI Studio Documentation [3] Gemini API Developer Reference [4] WHO Global Report on Traditional and Complementary Medicine [5] Journal of Ayurveda and Integrative Medicine [6] Herbal Gram – The Journal of the American Botanical Council [7] Thomsen, M., & Meagher, K. (2021). Advances in Image Recognition for Plant Classification. International Journal of Computational Botany, 9(2), 105–118. [8] Owens, J., & Malik, R. (2020). Application of Visualization in Environmental Science Education. Environmental Modelling & Software, 134, 104848. [9] Mozilla Developer Network. WebGL Documentation – for creating interactive plant models. [10] Chauhan, D., & Jain, J. K. (2023). Profiling Network Traffic by Using Classification Techniques in Machine Learning. Springer Nature Singapore. [11] Chauhan, D., Bahad, P., & Jain, J. K. (2024). Sustainable AI: Environmental Implications, Challenges, and Opportunities. Explainable AI (XAI) for Sustainable Development. [12] Singh, H. P. , et al. (2024). AVATRY: Virtual Fitting Room Solution. 2nd Int’l Conf. on Computer, Communication and Control (IC4), IEEE. [13] Singh, N., et al. (2024). Blockchain Cloud Computing: Comparative Study on DDoS, MITM and SQL Injection Attack. IEEE ICBDML. [14] Singh, H. P., et al. (2024). Logistic Regression Based Sentiment Analysis System: Rectify. IEEE ICBDML.

Copyright

Copyright © 2025 Arnav Gharpure , Gaurav Bhendekar, Aditya Gangarde , Ayush Gedam, Sanskar Ghadge , Harsh Ghotkar, Somesh Gawande, Yogen Gharge. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Download Paper

Paper Id : IJRASET75762

Publish Date : 2025-11-24

ISSN : 2321-9653

Publisher Name : IJRASET

DOI Link : Click Here