SyncHealth
AI-powered fitness app using biometric data and adaptive ML models to deliver personalized training and optimized recovery.
React Native
Ruby on Rails
AWS
Lambda
SNS
GraphQL
AppSync
RDS
S3
Cognito
SES
CloudFront
SageMaker
PostgreSQL
DynamoDB
Apple Health
Client
SyncHealth optimizes fitness training by continuously analyzing biometric data from Apple Health. The platform uses AI-driven feedback loops to dynamically adapt workout plans based on recovery status, fatigue levels, and individual performance trends.
Product
AI-Powered Adaptive Training.
Biometric-Driven Personalization: Continuous integration with Apple Health provides real-time biometric inputs such as calorie expenditure, heart rate trends, and recovery markers.
Adaptive ML Engine: Predictive models running on SageMaker analyze workout history, fatigue signals, and recovery cycles to adjust training intensity and exercise selection dynamically.
Real-Time Feedback Loop: Ongoing performance monitoring identifies changes in strength, endurance, and workload tolerance, with AI-generated recommendations for optimal recovery and progression.
Cross-Device Synchronization: A GraphQL API ensures instant syncing of training plans, performance data, and user progress across devices, enabling seamless multi-device experiences.
Secure Authentication and Monetization: AWS Cognito provides user identity management and data privacy, while Stripe API supports premium subscriptions and transaction workflows.
