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zhealth/PROJECT_MGMT/high_level_targets.md

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High-Level Targets: zhealth

Vision

To provide a seamless, AI-powered health management platform that empowers users to track, analyze, and optimize their biomarkers for better longevity and wellness.

Phase 1: MVP (Minimum Viable Product)

  • Unified Dashboard: A clean UI to visualize biomarker trends (e.g., Blood Glucose, LDL, HDL, Vitamin D).
  • Rust Backend: Secure and performant API to handle user data and biomarker logs.
  • AI Insights Prototype: Initial integration with LLM to provide basic interpretations of biomarker results based on standard clinical ranges.
  • Data Entry: Easy manual entry form for blood test results.

Phase 2: Advanced AI & Integration

  • Predictive Trends: AI models to predict future biomarker levels based on lifestyle data.
  • Lab Report OCR: Automated data entry by uploading PDFs/images of lab reports.
  • Wearable Sync: Integration with Apple Health, Google Fit, or Oura for holistic health context.

Phase 3: Personalized Recommendations

  • Lifestyle Playbooks: AI-generated nutrition and supplement plans.
  • Community & Sharing: Option to securely share data with health professionals or family.

Tech Stack Targets:

  • Frontend: Vite + React + TypeScript
  • Backend: Rust (Axum / Tokio / SeaORM)
  • Database: SQLite3 (WAL mode)
  • AI: Gemini / OpenAI / Anthropic API (for interpretation)