A SMART IoT AND AI/ML BASED DEVICE FOR QUANTITATIVE RASA ANALYSIS IN HERBS

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Dr. Dattatray Waghole; Kiran  Pal; Mariam  Memon; Shajahan sayyed; Sakshi Pawar

A SMART IoT AND AI/ML BASED DEVICE FOR QUANTITATIVE RASA ANALYSIS IN HERBS

Authors: Dr. Dattatray Waghole, Kiran Pal, Mariam Memon, Shajahan sayyed, Sakshi Pawar

Unique Paper ID: 176765
Volume: 11
Issue: 11
PageNo: 6610-6616

Keywords: AyurRasa Rasa analysis taste analysis Herbal medicine Taste mapping Personalized Ayurvedic healthcare Scientific validation of Ayurveda

Abstract:
The Ayurasa project conducts scientific evaluation and numerical measurement of crude herb rasa based on the essential Ayurvedic fundamental that guides medicinal plant therapeutic properties. The study analyzes primary and secondary tastes of herbs by measuring their chemical compounds which include glucose, fructose and malic acid alongside tannins, alkaloids together with other phytochemicals. This initiative brings together analyses of modern technology and traditional Ayurvedic knowledge through systems which standardize and measure rasa determination in substances. The proposed method links phytochemical analysis with taste assessment mapping to discover chemical-rasa connections for six Ayurvedic tastes including sweet, sour, salty, pungent, bitter and astringent. Through scientific validation of ancient Ayurvedic principles during this research scientists created a path to develop enhanced herbal medicines that utilize personalized taste-based healthcare.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 11
PageNo: 6610-6616

A SMART IoT AND AI/ML BASED DEVICE FOR QUANTITATIVE RASA ANALYSIS IN HERBS

Available:https://ijirt.org/article?manuscript=176765

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A SMART IoT AND AI/ML BASED DEVICE FOR QUANTITATIVE RASA ANALYSIS IN HERBS

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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