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SugarShield_Api
SugarShield_Web
.DS_Store
README.md

README.md

Sugar shield is a web application that uses a machine learning algorithm to detect whether a patient is diagnosed with Type 1 or Type 2 diabetes. Attributes taken into consideration are: age, weight, height, blood pressure, insulin/glucose level, skin thickness, number of pregnancies and diabetes pedigree.

Technologies include: Javascript, CSS+HTML5, jQuery, Bootstrap4, Python, Git&GitHub, and Flask.

Team Members: Chelsea Ip, Ardalan Ahanchi, Edmund Chan, Kayla and Marcela Gomez.

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