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FYP - Final Year Project - B.Eng in Mechatronics Engineering: Calorie-counting/diet-management Android application using ML image classifier and Bluetooth kitchen scale. This app uses the TensorFlow machine learning library, trained with the MobileNet image classification model, to detect food types. With the food classified, nutritional info is retrieved from the USDA nutritional info database, and the user can use a Bluetooth kitchen scale to record the weight value. This is used to calculate the calories and macronutrients of the food item or overall meal. Can be used with text-input for search and weight values also. Currently integrated with the "Skale 2" Bluetooth scale, but further support being added. Work in progress.
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Merge pull request #4 from LukeScales/bluetooth-scale-skale2
4d2317dView on GitHubAdded support for Skale 2 bluetooth kitchen scale in the WeightActivity, small updates elsewhere
775b992View on GitHubTensorFlow implemented, stock TFLite app modified to classify on single frame rather than continously classifying
f1e2683View on GitHub