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Paper ID:IJSREM62892

Veda Voice - Ayurvedic Chatbot

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM62892

Volume:

10 |

5 |

May 2026

Pages:

1-8

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM62892

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Prithviraj Kadam

Prithviraj Kadam

computer science and engineering

smt indira gandhi college of engineering

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Anilraje Bhosale

Anilraje Bhosale

computer science and engineering

smt indira gandhi college of engineering

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Pratik Korade

Pratik Korade

computer science and engineering

smt indira gandhi college of engineering

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Karan Bagayatkar

Karan Bagayatkar

computer science and engineering

smt indira gandhi college of engineering

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Mentors

Prof. Sarita Khedikar

Prof. Sarita Khedikar

computer science and engineering

smt indira gandhi college of engineering

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Abstract

The Veda Voice project is an AI-based Ayurvedic assistant that provides natural healthcare guidance using NLP and voice recognition. It bridges traditional Ayurveda with modern AI, allowing users to input symptoms and receive herbal remedies, diet plans, and lifestyle suggestions. The system improves accessibility and promotes preventive healthcare. The oral tradition of Vedic chanting is one of the oldest knowledge transmission systems. However, its preservation faces challenges due to modernization and declining practitioners. This paper presents Veda Voice, an Artificial Intelligence-based system designed to recognize and analyze Vedic chants using speech processing and deep learning techniques.

KEYWORDS

Keywords: Artificial Intelligence (AI) Ayurveda Natural Language Processing (NLP) Voice Assistant Speech Recognition Healthcare Chatbot Machine Learning Ayurvedic Remedies Digital Healthcare Preventive Healthcare Text-to-Speech (TTS) Speech-to-Text (STT) Personalized Medicine Traditional Medicine Human-Computer Interaction

Cite This Article

Prithviraj Kadam, Anilraje Bhosale, Pratik Korade, Karan Bagayatkar, Prof. Sarita Khedikar, "Veda Voice - Ayurvedic Chatbot," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-8, May 2026. https://doi.org/10.55041/IJSREM62892

Full Article/Conclusion

·        In conclusion, the Veda Voice system effectively utilizes modern web technologies and AI-based processing to build a comprehensive, efficient, and user-friendly digital healthcare platform. By integrating features such as chatbot interaction, Ayurvedic knowledge access, quiz-based learning, and user profile management into a single interface, it simplifies the process of accessing traditional healthcare guidance and improves overall user experience.   ·        The intuitive design ensures that even non-technical users can easily interact with the system, making Ayurvedic knowledge more accessible to a wider audience. Additionally, the modular architecture of the platform supports scalability and flexibility, allowing future enhancements such as improved AI models, expanded datasets, and advanced personalization features without affecting existing functionality.   ·        Overall, Veda Voice provides a complete and integrated solution that combines traditional Ayurvedic wisdom with modern technology. It supports users in understanding symptoms, exploring remedies, and improving their lifestyle, making it a reliable and future-ready digital health assistant.

References

[1] K. Hemalatha, G. Vinay, S. Bhavya Sree R, Y. S, and T. K, “Prakriti Bot – Intelligent Prakriti Analysis Chatbot for Personalized Ayurvedic Suggestions,” International Research Journal of Innovations in Engineering and Technology (IRJIET), vol. 9, Special Issue INSPIRE’25, pp. 337–342, Apr. 2025 [2] M. V. Gunaga, M. Manvith, P. Preethesh, S. A. V, and K. Kiran, “Ayurvedic Chatbot,” Journal of Emerging Technologies and Innovative Research (JETIR), vol. 12, no. 7, pp. 802–803, Jul. 2025. [3] S. Mohan Vamsi and S. Noortaj, “Ayurveda Plant Identification and Medicare Chatbot Assistant,” International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 11, no. 7, pp. 576–581, May–Jun. 2025. [4] B. P. S. Chundawat, D. Chouhan, A. Kumar, M. Bhatt, and M. Patel, “Utilizing Chatbots for Individual Prakriti in Ayurveda: A Modern Approach to Personalized Healthcare,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), vol. 11, Special Issue 2, pp. 68–70, May 2024. [5] Deng, L., Li, J., Huang, J. T., Yao, K., Yu, D., Seide, F., ... Zweig, G. (2013). Recent advances in deep learning for speech research at Microsoft. In 2013 IEEE international conference on acoustics, speech and signal processing (pp. 8604-8608). IEEE. [6]Gopalakrishnan, S., Ganapathy, K., Raghunathan, A., & Muralidharan, V. (2018). Chatbot-based Prakriti evaluation and management in Ayurveda: Design and development. In 2018 IEEE 8th International Advance Computing Conference (IACC) (pp. 392-397). IEEE [7]Menaria, H.K., Nagar, P., Patel, M. (2020). Tweet Sentiment Classification by Semantic and Frequency Base Features Using Hybrid Classifier. In: Luhach, A., Kosa, J., Poonia, R., Gao, XZ., Singh, D. (eds) First International Conference on Sustainable Technologies for Computational Intelligence. Advances in Intelligent Systems and Computing, vol 1045. Springer, Singapore. https://doi.org/10.1007/978-981-15-0029-9_9 [8]Singh, N., Singh, S. P., & Nath, R. (2019). Development and validation of questionnaire for assessment of Prakriti: A preliminary study. AYU (An international quarterly journal of research in Ayurveda), 40(1), 24 [9]D. Kothari, M. Patel and A. K. Sharma, "Implementation of Grey Scale Normalization in Machine Learning & Artificial Intelligence for Bioinformatics using Convolutional Neural Networks," 2021 6th International Conference on Inventive Computation Technologies (ICICT), Coimbatore, India, 2021, pp. 1071- 1074

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5/8/2026

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