Abstract
In order to make additional, quick profits, shopkeepers frequently adulterate food today. Foods are adulterated by adding things like ripening mangoes, chalk powder to turmeric, starch to curry powder, papaya seeds to black pepper, and other things. Adulteration is a common practise to increase profits, but it can have extremely harmful effects on people. The qualitative spectroscopic method offers a better way to identify the toxic components in milk and other things. The goal of this research is to develop a low-cost, portable, AI-based, non-destructive sensor system that can be used to detect the adulterant in real-time in order to solve this problem. The users can access a dedicated site with an Iot platform from anywhere to view the adulterant that has been found.In this study, the conductivity and pH meter methods were used to examine the food products in order to determine the degree of adulteration present.
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