LukeScales1/FYP

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.

27
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Experimental

This Android app helps you manage your diet by automatically calculating the calories and macronutrients of your food. You simply take a picture of your meal, and the app identifies the food, pulls nutritional data, and uses a connected Bluetooth kitchen scale to determine the portion size. It's designed for anyone actively tracking their food intake for health or fitness goals.

No commits in the last 6 months.

Use this if you want to streamline your calorie counting by snapping a photo of your food and weighing it with a smart scale, rather than manually searching and estimating.

Not ideal if you prefer manual food logging without image recognition or a Bluetooth scale, or if you need extensive support for a wide variety of kitchen scale models beyond the 'Skale 2'.

diet-management calorie-tracking nutritional-logging food-monitoring meal-planning
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 14 / 25

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14

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3

Language

Java

License

Last pushed

May 05, 2019

Commits (30d)

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