Proceedings of the 2023 Eighth International Conference on Research in Intelligent Computing in Engineering

DOI: http://dx.doi.org/10.15439/2023R30

Citation: Proceedings of the 2023 Eighth International Conference on Research in Intelligent Computing in Engineering, Pradeep Kumar, Manuel Cardona, Vijender Kumar Solanki, Tran Duc Tan, Abdul Wahid (eds). ACSIS, Vol. 38, pages 51–55 (2023)

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Abstract. Since ancient times people incorporated plant extracts from leaves, barks, and roots for healing, opening its wings to the drug industry comprising of Allopathy, Homeopathy, Ayurvedic and Unani medicine. New viruses emerged with dynamic variants bringing the Covid-19 pandemic, which put the global population to a halt. Since there was no permanent cure, only trial and error based medicines helped. People were ready for any medication which saved their lives. One of the Herbal companies which are really doing well is Zinda Tilismath. In this paper an attempt is made to explain how this herbal medicine proved its effectiveness in curing and prevention of illness usings statistical analysis. Statistical test k-means clustering is used to prove the clinical findings with the correlation of choosing the closest relations, and accordingly suggestions were given. The purpose of the proposal is to find the opinion of the people for this herbal drug, for which the drug is analyzed based on the dataset collected from survey by using clustering algorithm. It is concluded that the herbal products of Zinda Tilismath are effective in the prevention and curing of the disease. It is extensively known in Hyderabad, but still needs to extend its branches over the world. Other competing products are Himaliya, Hamdard Joshanada and Qarshi Johar Joshanda, etc. The herbal drug is a mixture of camphor, eucalyptus, thymol, menthol and alkanet root (also called ratanjyoth)

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