Core ML with AI: The Engine of Personalized Training pen_spark
Revolutionizing Fitness Apps with On-Device Core ML Video Analysis
We utilize Core ML, Apple's framework for on-device machine learning, to create intelligent fitness apps. Here's how it works:
At I Can Infotech, we're harnessing the power of Core ML and on-device video analysis to transform the fitness app industry. Our innovative solutions empower users to achieve their fitness goals with personalized, real-time feedback, all without compromising privacy or requiring bulky equipment.
Pose Estimation
Pose Estimation
Core ML models analyze user videos, identifying key body points like joints and limbs. This allows for accurate assessment of exercise form.
Real-Time Feedback
Real-Time Feedback
Our on-device processing provides instant feedback on form, reps, and range of motion, ensuring users perform exercises correctly and safely.
Personalized Training Plans
Personalized Training Plans
Core ML personalizes workout routines based on user performance and goals. The app can adjust difficulty levels, suggest alternative exercises, and track progress over time.
Comprehensive Inventory, Order & Warehouse Management
Benefits of On-Device Video Analysis
Simplest and most efficient multi-channel order fulfillment and warehouse management solution with web and mobile applications.
We offer a comprehensive suite of solutions to empower fitness app developers:
I Can Infotech's Solutions for Fitness Apps
Core ML Model Development: Our team of experts can develop custom Core ML models tailored to specific exercises and training styles.
On-Device Video Analysis Integration: We seamlessly integrate video analysis functionalities into your existing fitness app, ensuring smooth user experience.
Data Security and Privacy Consulting: We prioritize user privacy by ensuring data stays on-device and adhering to best practices.
Contact us today!
Lets Talk
Lets Talk
Write to us
Write to us
Canada
Canada
1 University Ave, Toronto, ON M5J 2P1, Canada