# 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.

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