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Open Source ExerciseDB API is an fitness exercise database api that allows users to access high-quality exercises data which consists 1300+ exercises. This API offers extensive information on each exercise, including target body parts, equipment needed, video, gifs, images for visual guidance, and step-by-step instructions.
WARNING: This repository is no longer maintained ⚠️ This repository will not be updated. The repository will be kept available in read-only mode. A mobile app that uses Watson Visual Recognition to provide nutritional analysis of captured food images.
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.
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!
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.