An Android Application to Calculate the Average Chemical Presence in Food Items

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Abstract

Mutilation of food items by the use of various chemicals in order to force it to achieve its mature state artificially and prevent the food item from withering out too early and increase shelf life, which also helps with the exporting of the food item to far distant places, thus adding more profit to the business. The problem is among these chemicals some do not wear off that easily and if the presence of the chemical residue is high enough, it can cause serious immediate or long term health complications for the consumer. The objective was to help the consumer with an app to figure out the average chemical presence in a variety of food items that can help the user with the necessary information about the food item on a per unit weight basis. The modern world is all about instant information, saving time & reliability and nothing serves better in these categories than the smart phones powered and turned into super devices by various Applications or “Apps” as we generally know. With the widespread availability of high speed internet, Apps has started to play a vital role in human day to day life, as our life is getting complex Apps serve us a good deal of playing the role of a personal assistant. Using Apps we can keep track of our physical and mental health, we can locate doctors in emergency, find blood donors in crucial moments, order groceries at home, find out the components of our consumed food, order food from the restaurants we prefer, order a ride to reach at our destination or even gather knowledge about the galaxy and stars way far beyond our reach. All of these activities can be done instantly without even moving an inch. Hence Apps can save a lot of time and effort, relieving us from our hectic life.

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Khan, M. N. R., Khan, M. R., Mashuk, A. K. E. H., Sunny, F. I., Farhan, S. K. A., & Shukhon, R. N. S. (2020). An Android Application to Calculate the Average Chemical Presence in Food Items. In Learning and Analytics in Intelligent Systems (Vol. 12, pp. 137–142). Springer Nature. https://doi.org/10.1007/978-3-030-42363-6_16

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