Debugged Athletic Dashboard
Track fitness metrics and visualize predictive analytics
Predictive Analytics
Daily Metrics Breakdown
AI Explanation
Understanding the AI’s role in predictive analytics
1. Data Collection
The AI collects historical data from IoT devices such as fitness trackers, including calories burned, miles traveled, and steps.
2. Data Processing
The AI cleans and processes the data to identify patterns and trends in your activity over time.
3. Predictive Modeling
Using machine learning algorithms, the AI predicts future performance based on past trends and current activity levels.
4. Real-Time Updates
The AI updates predictions and metrics dynamically as new data streams in from IoT devices, ensuring accurate insights.