data:image/png;base64,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

input the name, weight, and height being asked to the user and being answered by the user are the inputs in this code

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KBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==selection the "if else" blocks are used and are nested to fit the calculated BMI into categories of underweight, normal weight, and overweightiteration the code inside repeat block is repeated for the number entered as the answer to the questionThank you for using this BMI calculator!2ahsree,100,60,39.05555555555555,sghj,100,60,19.52777777777777519.527777777777775sghj100601