Objective:

Build the core backend and functional infrastructure for a mobile yoga therapy app that integrates with wearable devices (Apple Watch, Fitbit, Garmin). The goal is to collect, process, and analyze biometric data to deliver personalized yoga recommendations and support yoga therapy clients.

Note: All project management, user research, and requirements gathering have already been completed. Students will focus on software development, particularly backend systems, wearable API integration, and data processing. Some UX components may need to be supplemented or connected to existing designs.

Project Tasks:

✅ 1. Review Existing Research & Planning Assets

• Familiarize yourself with the pre-developed project plan, user stories, technical requirements, and design references.
• Review data schemas, API use cases, and product vision (documents will be provided).

🧠 2. Wearable Integration & Data Engineering

• Connect with APIs such as Apple HealthKit, Google Fit, Fitbit, and Garmin.
• Standardize and store biometric data (e.g., sleep, HRV, heart rate, stress, step count).
• Ensure consistent formatting and prepare for scalable integration across devices.

🔁 3. Logic Layer: Yoga Feedback Engine

• Translate incoming data into meaningful recommendations using rule-based or ML logic.
• Example: If sleep score is low, recommend restorative yoga routines.
• Optionally support therapist-created decision trees or custom flags for high-risk users.

💻 4. Backend Development

• Set up secure APIs to handle incoming data, client sessions, and therapist interactions.
• Handle user authentication, therapist-client assignments, and session data history.
• Store and serve data for front-end consumption (dashboard, progress charts, etc.).

📊 5. Front-End Collaboration (Optional)

• Collaborate with the UI/UX team if further design is required for therapist or client dashboards.
• Test API integration with mock front-ends or basic front-end components if needed.

🧪 6. Testing & Refinement

• Conduct unit and integration tests for API reliability.
• Simulate wearable data input and analyze the system’s logic response.
• Optimize backend performance and prepare documentation for handoff.

First draft landing page: https://ksaeojwp.manus.space/

Deliverables:

• Fully functioning backend with API documentation
• Wearable device integration working with at least one platform (Apple, Fitbit, or Garmin)
• Data model and architecture diagrams
• GitHub repository with all code, README, and implementation notes
• Final summary report or live demo of prototype

Stretch Goals (Optional):

• Add HIPAA-style data privacy and encryption protocols
• Enable offline data sync capabilities for remote yoga sessions
• Implement a therapist-facing analytics dashboard with data filtering options