feat: Add initial project development phases, high-level targets, and vision documentation.
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PROJECT_MGMT/high_level_targets.md
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PROJECT_MGMT/high_level_targets.md
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# High-Level Targets: zhealth
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## Vision
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To provide a seamless, AI-powered health management platform that empowers users to track, analyze, and optimize their biomarkers for better longevity and wellness.
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## Phase 1: MVP (Minimum Viable Product)
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- [ ] **Unified Dashboard**: A clean UI to visualize biomarker trends (e.g., Blood Glucose, LDL, HDL, Vitamin D).
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- [ ] **Rust Backend**: Secure and performant API to handle user data and biomarker logs.
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- [ ] **AI Insights Prototype**: Initial integration with LLM to provide basic interpretations of biomarker results based on standard clinical ranges.
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- [ ] **Data Entry**: Easy manual entry form for blood test results.
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## Phase 2: Advanced AI & Integration
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- [ ] **Predictive Trends**: AI models to predict future biomarker levels based on lifestyle data.
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- [ ] **Lab Report OCR**: Automated data entry by uploading PDFs/images of lab reports.
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- [ ] **Wearable Sync**: Integration with Apple Health, Google Fit, or Oura for holistic health context.
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## Phase 3: Personalized Recommendations
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- [ ] **Lifestyle Playbooks**: AI-generated nutrition and supplement plans.
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- [ ] **Community & Sharing**: Option to securely share data with health professionals or family.
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---
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**Tech Stack Targets:**
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- Frontend: Vite + React + TypeScript
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- Backend: Rust (Axum / Tokio / SeaORM)
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- Database: SQLite3 (WAL mode)
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- AI: Gemini / OpenAI / Anthropic API (for interpretation)
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