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The customer wanted to create a gadget that would automatically analyze the quality of milk
Hardware, Neuralnets, Vue.JS, Python. React Native, MongoDB
How it works
The lab technician takes a milk sample in a test tube and places it in a mobile laboratory (box); the gadget is equipped with an electron microscope that takes pictures and, using a neural network, compares the results with milk diseases. In turn, all the information is displayed in electronic sample cards on mobile applications and in the web version, and the laboratory assistant using a scan of the QR code from the test tubes, binds each to a specific result
This system automates the process of detecting harmful diseases in milk when farmers collect.
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