CureVeda:Personalized Ayurvedic Remedies Powered by AI with Expert Consultation
Abstract
Ayurveda, the ancient system of medicine, is known for its holistic healthcare orientation. However, access to personalized Ayurvedic care remains limited due to the lack of structured digital solutions. CureVeda is an online portal that combines symptom analysis through artificial intelligence with expert consultation to provide accurate and culture-specific Ayurvedic care. With GEMINI API, CureVeda offers users immediate, AI-based remedies while facilitating consultations with qualified Ayurvedic physicians for complicated ailments. This blended model strikes a balance between contemporary AI technology and the ancient knowledge of Ayurveda, providing a smooth and efficient healthcare experience.
Keywords:
Ayurveda, AI-Driven Healthcare, Symptom Checker, Online Consultation, Natural Remedies, Holistic Wellness
Published
Issue
Section
License
Copyright (c) 2025 International Journal on Emerging Research Areas
This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Aleena Joseph, Diya Paramesh G, Elza Mary Thomas, Gayathri V, Anu V Kottath, A Review on Comparison of VGG-16 and DenseNet algorithms for analysing brain tumor in MRI image , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Dr. S. Perumal Sankar, P K Renjith, Ahammed Suhail P.I, Aswathy P S, Nithya Mary K J , Sharon K J, iAssist – An Intelligent Reading Assistant for Visually Impaired , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Akil Saji, Sreeyuktha Ramesh, Aabel Jacob, Saumya Sadanadan, Rosmartina Shaju, Dr S N Kumar, Enhancing Image Security with Introduction to Blockchain , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Ryan Leo , Mathews P Jose, Eirene Nikky , Lloyd Micheal, Chinnu Edwin A , Controlling a Mini Game using a Brain-Computer Interface , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Aaron Samuel Mathew, Adhil Salim , From Exorbitant to Affordable: The Evolution of AI Training Costs , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Athira Sankar, Sajishma S R, Alan Raj, Vaishnavi A K, Reshmi S Kaimal, Hydro Sense: Empowering Water Quality Monitoring Through IoT And ML , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Aman M Hafees, Aman Yunus, Aashish Tom Raju , Agnus Roy, Ansamol Varghese, PowerPath: A Mobile Application for Transformer Monitoring and Maintenance , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Prof.Pavitha P.P , S Abhinav, Abida P Vaidyan , B Parvathi, A Critical Evaluation on Line of Sight Based Data Transmission A Review , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Anna N Kurian, Amitha Anil, Andriya Raju, Ancita J Feriah, Aiswarya Lakshmi Navami, Deep Learning based Multimodal Brain MRI Tumor Classification as a Diagnostic Tool to Benefit Clinical Applications , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Prinu Vinod Nair, Rohit Subash Nair, Samuel Thomas Mathew S, Ansamol Varghese, Weed detection using YOLOv3 and elimination using organic weedicides with Live feed on Web App , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
You may also start an advanced similarity search for this article.