Research Article |
Open Access
|
| Published online: 13 June 2025
Intelligent Formulation Recommendation System: Leveraging Ayurvedic Classical Texts for Disease-Specific and Pharmacologically Tailored Drug Suggestions
Kaustubh Rathod,* Devesh Rathi, Sankalp Naranje and Jayashri Bagade
Department of Information Technology Engineering, BRACT’s Vishwakarma Institute of Information Technology, Pune, 411048, Maharashtra, India
*Email: kaustubh.22110323@viit.ac.in
J. Inf. Commun. Technol. Algorithms Syst. Appl., 2025, 1(1), 25305 https://doi.org/10.64189/ict.25305
Received: 05 May 2025; Revised: 30 May 2025; Accepted: 11 June 2025.
Abstract
The vast knowledge of Ayurveda on individual plants and formulas based on unique qualities is priceless, yet it is frequently impractical to access this treasure of knowledge. In order to make the process of choosing the best Ayurvedic formulations based on symptoms, patient characteristics, and contraindications easier, this research presents a custom software solution. With the goal of giving Ayurvedic practitioners and students a user-friendly platform, the software offers vital insights into the various facets of traditional medicinal texts, such as sources, synonyms, and pharmacological qualities. This intelligent programme aims to assist the Ayurvedic community in making wellinformed and efficient healthcare decisions by tackling navigational and scatteredness concerns.
Graphical Abstract
Novelty statement
This intelligent programme aims to assist the Ayurvedic community in making well-informed and efficient healthcare decisions by tackling navigational and scatteredness concerns.