WARNING: This repository is no longer maintained
-
Updated
May 27, 2021 - Java
WARNING: This repository is no longer maintained
Uses iOS 11 and Apple's CoreML to add nutrition data to your food diary based on pictures. CoreML is used for the image recognition (Inceptionv3). Alamofire (with CocoaPods) is used for REST requests against the Nutritionix-API for nutrition data.
Feed the Bump is an online nutrition diary for pregnant women.
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The Health Tracker App redefines wellness tracking through cutting-edge technology. Powered by Streamlit, Firebase, and the Nutritionix API, it provides seamless user experiences and in-depth health insights. Users can effortlessly monitor food intake, exercise, and sleep patterns, and create their own secured personalized profiles. Track wellness!
App for exercise curling biceps that can help you to estimate the calories burned and track your exercise history.
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A responsvie web based app that uses data pulled from the Nutritionix API to create player characters that battle their way to the end of the game.
Wrapper for the Nutritionix API
Coded a workout tracker with Nutritionix and Sheety! #100DaysOfCode #Day038
Calculate the calories burnt during the the
The workout tracking project utilizes Sheety API and Google Sheets to record users' exercise activities. It offers a user-friendly command-line interface for inputting workout details, which are then automatically stored and updated in a Google Sheets spreadsheet in real-time.
Workout Tracking using python and and google sheet
This Python script tracks your workouts by leveraging natural language API processing to extract information about the exercises you did. It uses the Nutritionix API to obtain exercise data based on your input, and sends the workout information to a Google Sheets document using the Sheety API.
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