Posture Analysis and Correction
Real-Time Feedback
Real-Time Feedback
Posture Assessment
Posture Assessment
Visual and Audio Cues
Visual and Audio Cues
Progression Tracking
Progression Tracking
Benefits
Activity Recognition and Tracking (Offline)
On-Device AI Models
The app uses Core ML models to analyze sensor data on users' phones, recognizing activities such as walking, running, cycling, and swimming.
Offline Functionality
Activity recognition works even without an internet connection. Data is stored locally on the device and can be synced to the cloud later.
Accurate Tracking
The AI models are optimized for efficient on-device processing, ensuring accurate step counting, workout duration tracking, and calorie estimation.
Battery Efficiency
Processing data on the device minimizes battery drain compared to relying on cloud-based activity recognition.
Benefits
Personalized Fitness Coaching
Movement Pattern Analysis
The app utilizes Core ML to analyze the user's movement patterns during exercise routines. This might involve analyzing stride length, swing mechanics, or repetition speed.
Real-Time Adjustments
The AI model identifies areas for improvement and suggests personalized coaching cues in real-time. This could be adjusting running form, increasing weight lifted, or taking rest breaks.
Adaptive Workout Plans
The app tailors workout plans based on the user's fitness level, progress over time, and performance data analyzed by the AI model.
Motivation and Feedback
The app provides motivational messages and positive reinforcement based on user achievements and adherence to personalized workout plans.
Benefits
Empowering Your Business with Our SaaS Solutions
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Lets Talk
Write to us
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