GODIARY
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About
GODIARY automatically detects movement (runs, walks, and rides) using a combination of GPS and proprietary machine learning algorithms, which it calls the Autonomous Fitness Detection Engine (AFDE). This unique approach requires no user input to accurately detect the start and stop of a workout, while also operating in a battery-efficient manner. The app offers historical fitness analysis through time-series graphs, allowing users to monitor their improvements over time with weekly, monthly, yearly, and all-time views. Users can also set and track personalized goals, either time-based or distance-based, for motivation. For iOS users, GoDiary provides the convenience of syncing workout data directly with the Apple Health app. While the app is designed for autonomous tracking, a manual mode is available for those seeking even greater start/stop location accuracy.
Platform
Features
• analyze past activities
• manual tracking mode available
• battery efficient tracking
• apple health app data syncing (ios only)
• personalized goal tracking (time or distance based)
• historical fitness analysis and time series graphs
• proprietary machine learning algorithms (afde)
• autonomous workout detection (runs, walks, rides)
FAQs
What is AFDE?
The "Autonomous Fitness Detection Engine" is the proprietary code developed by GoDiary that uses machine learning to allow for battery-efficient, accurate, and automatic tracking of your workouts.
What happens if you turn the auto-detection feature off?
When this feature is turned off, GoDiary will no longer automatically detect Walks, Runs, or Rides. It will function as a standard fitness tracker, requiring manual intervention, and battery drain will be reduced.
Pricing Plans
Free
Free Plan• Autonomous workout detection
• Historical fitness analysis
• Personalized goal tracking
• Apple Health app sync
• Battery efficient tracking
Job Opportunities
There are currently no job postings for this AI tool.
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