A Study on the Data Build for Smart Analysis of Tinospora Cordifolla (GURJO) by Deep Learning (1)

Abstract: This paper focuses on how to AI apply to analysis of natural source of Tinospora Cordifolla (GURJO). To apply AI for analysis, the data is absolutely is needed. GURJO has a very good pharmacological effect for human well-being. Tinospora Cordifolia has chemical constituents like terpenoids, alkaloids, steroids, lignans, flavonoids and glycosides. Therefore, it has many pharmacological activities such as immunomodulation, anti-diabatic, antifungal, in hepatotoxicity (hepatic disorder), anti- cancer, anti-HIV potential, antitoxic effect, and in Parkinson disease because there are phenol and tannins saponins, glycosides, steroids, steroids. To analysis and use, we should know which natural source has impact and what relation among natural sources through data and AI based analysis to develop a new paradigm and products. This paper has the purpose data build for AI application for this purpose. Because AI Thinking has a multi-purpose meaning about various aspects of AI user and it has a wide range of the management, the production, the training, and use of AI systems, it is absolutely needed to try systematically to understand and learn. This paper has also purpose AI Thinking for practice, methodological, and context of GURJO.

Keywords: AI Application, Food, Tinospora Cordifolla (GURJO), Data, Smart food.