- HealthTech and Pharmacy
- SaaS
- Analytic platform
- API Integration
- AI Solution
AI Fitness Analytics Platform for Health Data Insights
Overview
Quick overview: key aspects of our work - discover the essentials of our project
Industry
Country
Solution type
Services
About the client
Understanding our client: specifics, challenges, and custom solutions
Problem
Solution
Key features
Project features overview: essential enhancements and strategic solutions
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Wearable Health Data Integration
The platform was structured around external health data integrations, with Garmin connected through an authorization flow and synchronized activity data. Apple Health was also included in the API validation scope to assess available health and fitness metrics.This integration layer supported the collection and organization of user-authorized data such as workouts, activity metrics, sleep records, heart rate, GPS-related data, and other wellness indicators available from connected providers. -
Health Records and Body Journal Workspace
The platform organizes connected data into dedicated areas for workouts, sleep records, previous activities, and Body Journal entries. Users can view summary cards, open detailed records, and inspect available raw data when needed.The Body Journal brings different record types into one chronological workspace, making activity and sleep data easier to review as part of one health data experience rather than separate provider outputs. -
AI Coach and Daily Performance Analytics
The AI layer supports coaching interactions connected to specific activity and sleep records. User profile data, selected record data, and historical records can be used as context for AI-assisted analysis and follow-up conversations.Daily performance logic adds a structured analytics layer with stored performance records, recovery, physiology, and load indexes, AI-generated summaries, and recommendations based on available activity and sleep data. -
Activity Data Management and Manual Records
Activity records include detailed workout metrics such as duration, distance, calories, heart rate, pace, speed, elevation, steps, respiration, VO₂ max, and device-related data where available. Users can inspect detailed activity data and use valid metrics as context for analysis.The platform also supports edited and manually added activity records, including notes and attachments. This helps keep the Body Journal useful when connected device data is missing, incomplete, or needs user correction. -
Admin, Subscription, and AI Configuration Control
The platform includes administrative logic for managing users, access, subscription status, contact inquiries, blog content, and system configuration. Stripe-based subscription logic supports paid access and redirects users to Stripe-hosted flows for billing-related actions.Admin-side prompt management gives the product owner a way to review and adjust system prompts for sleep analysis, activity analysis, and base AI behavior, keeping AI response configuration part of the platform rather than a disconnected backend process.
Result
Performance Showcase: Unveiling the Results of Our Collaborative Endeavors
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