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@article{176765,
        author = {Dr. Dattatray Waghole and Kiran  Pal and Mariam  Memon and Shajahan sayyed and Sakshi Pawar},
        title = {A SMART IoT AND AI/ML BASED DEVICE FOR QUANTITATIVE RASA ANALYSIS IN HERBS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {6610-6616},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176765},
        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.},
        keywords = {AyurRasa, Rasa analysis, taste analysis, Herbal medicine, Taste mapping, Personalized Ayurvedic healthcare, Scientific validation of Ayurveda},
        month = {April},
        }