SparkyFitness: Built for Families. Powered by AI. Track food, fitness, water, and health — together.
Roll your own tracker!
A workout tracking web application for personal use (or family, friends), geared towards running and other GPX-based activities
ExerciseDB API is an fitness exercise database api that allows users to access high-quality exercises data which consists 11000+ 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.
AI-powered fitness assistant for real-time pose estimation, exercise counting, and workout feedback.
FastNFitness Android app: Body, Cardio and Fitness tracking.
Extracting meaningful health information from large accelerometer datasets
A workout journal. Moved to https://codeberg.org/iamlooker/kenko
Self hosted web analytics for endurance athletes
Analyze your data from Garmin, Suunto, Coros to one centralized app
Standalone offline local desktop application to process, store, and visualize Garmin FIT file data in a comprehensive dashboard.
MCP server to connect to whoop API
An AI model used to help with the workout session by keeping track of counts and movement.
WARNING: This repository is no longer maintained
Make use of the power of Mediapipe’s pose detection, this project is built in order to analyze, detect and classifying the forms of fitness exercises.
Fitness Action Quality Assessment or your AI-Fitness Coach [ECCV 2022]
Android example showing Bluetooth communication with Xiaomi Mi Band 2. Demonstrates device pairing, data syncing, activity tracking, heart rate monitoring, and notification handling. Provides reference code for wearable device integration.
RunTrack is a Running Tracking app made using Modern Android Development (MAD), including Jetpack Compose, MVVM architecture, and Google Maps API. The app allows users to track their running activities and displaying real-time routes on an interactive map.
An AI-powered fitness tracker that uses real-time pose estimation to count reps, monitor form, and provide instant feedback for exercises like squats, push-ups, and bicep curls. Designed for accuracy, motivation, and adaptability
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