--- project_name: api_projects github_url: https://github.com/neural-arun/api_projects language: HTML stars: 1 topics: [None] updated_at: 2026-07-21T07:45:00Z --- # api_projects > **GitHub Repository:** [https://github.com/neural-arun/api_projects](https://github.com/neural-arun/api_projects) > **Primary Language:** HTML | **Stars:** 1 | **Forks:** 0 > **Description:** No description provided. --- ``` ╓─╖ ╓─╖ ╓─╖ ╓─╖ ╓─╖ ╓─╖ ╓─╖ ╓─╖ ╓─╖ ╓─╖ ║ 1║ ║ 2║ ║ 3║ ║ 4║ ║ 5║ ║ 6║ ║ 7║ ║ 8║ ║ 9║ ║10║ CRUD Notes Auth Upload Appoint Chat Queue RAG SaaS Ops ╙─╜ ╙─╜ ╙─╜ ╙─╜ ╙─╜ ╙─╜ ╙─╜ ╙─╜ ╙─╜ ╙─╜ ``` # FastAPI for Healthcare & Medical Education **10 progressive builds — from a basic task API to a clinical AI operations platform.** Each project compounds into the next. Designed for understanding systems, not memorizing syntax. ## Quick Start ```bash # Start at the beginning less 01_manage_patient_task/notes/00-index.md # Study at your own pace # Code → Break → Refactor → Next ``` --- ## Why This Exists I spent years inside the NEET ecosystem as a student — fragmented information, unclear guidance, wasted time. This repo is my response: AI systems that actually work for healthcare and medical education. Production-ready, not demos. > I don't build features. I build systems. This curriculum is the path I designed to get there. Each project teaches exactly what you need for the next one. Nothing extra. --- ## The Philosophy ``` Learn → Build → Break → Refactor → Test → Deploy → Next ``` No chapters. No lectures. After every build, answer these three questions before moving forward: 1. **Where would this break in production?** 2. **How would I extend this for a real client?** 3. **What did I not understand that I glossed over?** If you can't answer them, you moved too fast. --- ## The Compounding Path Each build teaches a layer of understanding. They stack. ``` ┌─────────────────────┐ │ 10. AI Clinical Ops │── Production AI systems │ (Capstone) │ └──────────┬───────────┘ │ ┌──────────▼───────────┐ │ 9. Multi-Tenant SaaS│── Deployment · Scale │ (Clinic Platform)│ └──────────┬───────────┘ │ ┌──────────▼───────────┐ │ 8. Medical RAG │── Vector search · LLM │ (Knowledge Base) │ └──────────┬───────────┘ │ ┌──────────▼───────────┐ │ 7. Document Pipeline│── Queues · Workers │ (Async at Scale) │ └──────────┬───────────┘ │ ┌──────────▼───────────┐ │ 6. Medical Tutor │── WebSockets · SSE │ (Real-time Chat) │ └──────────┬───────────┘ │ ┌─────────────────────┼──────────────────────┐ │ │ │ ┌──────────▼──────┐ ┌──────────▼──────┐ ┌───────────▼────────┐ │ 4. Upload API │ │ 5. Appointment │ │ 3. Auth Platform │ │ Files · Async │───│ Services · Test│───│ JWT · OAuth · RBAC│ └─────────────────┘ └─────────────────┘ └────────────────────┘ │ │ │ └─────────────────────┼───────────────────────┘ │ ┌──────────▼───────────┐ │ 2. Clinical Notes │── SQLAlchemy · Alembic │ (Real DB) │ └──────────┬───────────┘ │ ┌──────────▼───────────┐ │ 1. Patient Task API │── CRUD · Validation │ (Fundamentals) │ └──────────────────────┘ ``` --- ## Builds | # | Build | Core concepts | Status | |---|---|---|---| | 1 | **Patient Task Management API** | Routing, Pydantic, CRUD, validation, errors | ✅ Code + Notes | | 2 | **Clinical Notes Backend** | PostgreSQL, SQLAlchemy, Alembic, DI | 📝 Notes only | | 3 | **Medical Education Auth Platform** | JWT, OAuth2, bcrypt, RBAC, middleware | 📝 Notes only | | 4 | **Medical Content Upload API** | File uploads, async routes, BackgroundTasks | 📝 Notes only | | 5 | **Healthcare Appointment Backend** | Service layer, logging, transactions, pytest | 📝 Notes only | | 6 | **Medical Tutor Chat Backend** | WebSockets, SSE, streaming, concurrency | 📝 Notes only | | 7 | **Medical Document Pipeline** | Celery, Redis, queues, caching | 📝 Notes only | | 8 | **Medical Knowledge RAG Backend** | Embeddings, vector stores, chunking, API security | 📝 Notes only | | 9 | **Multi-Tenant Healthcare SaaS** | Docker, CI/CD, deployment, isolation | 📝 Notes only | | 10 | **AI Clinical Operations Platform** | Observability, event-driven, agents | 📝 Notes only | ### What each layer adds ``` 1 → HTTP, JSON, validation, the request-response cycle 2 → Persistence, relationships, project structure 3 → Identity, security, access control 4 → I/O, async, background processing 5 → Architecture, testing, production patterns 6 → Real-time, streaming, LLM-ready patterns 7 → Async processing at scale, distributed queues 8 → Search, retrieval, AI augmentation 9 → Multi-tenancy, deployment, operations 10 → Systems thinking, observability, AI agents ``` --- ## Repository structure ``` api_projects/ ├── 01_manage_patient_task/ # Build 1: Code + notes ├── 02_clinical_notes_backend/ # Build 2: Notes ├── 03_medical_education_auth/ # Build 3: Notes ├── 04_medical_content_upload/ # Build 4: Notes ├── 05_healthcare_appointment_backend/ # Build 5: Notes ├── 06_medical_tutor_chat/ # Build 6: Notes ├── 07_medical_document_pipeline/ # Build 7: Notes ├── 08_medical_knowledge_rag/ # Build 8: Notes ├── 09_multi_tenant_healthcare_saas/ # Build 9: Notes ├── 10_ai_clinical_operations/ # Build 10: Notes │ ├── projects.md # Original project definitions ├── syllabus.md # Study topics per build ├── goal.md # Learning philosophy ├── intro.md # Background & contact │ ├── fast_api_projects_notes.md # All notes combined (~360 KB) └── README.md # This file ``` ### Inside each build ``` 📁 build_nnn_name/ ├── 📁 notes/ # System-level concept notes │ ├── 00-index.md # What you'll learn │ ├── 01-*.md # Progressive concepts │ ├── ... │ └── quiz.md # Test understanding └── 📁 src/ # Code (when implemented) ``` --- ## Complete study notes All 90 notes files from all 10 builds combined into one printable document: 📄 [`fast_api_projects_notes.md`](./fast_api_projects_notes.md) — **12,227 lines · 360 KB · ~170 printed pages** ```bash # Generate PDF with pandoc pandoc fast_api_projects_notes.md \ -o fast_api_projects_notes.pdf \ --pdf-engine=weasyprint \ -V geometry:margin=1in \ -V fontsize=10pt ``` --- ## Connect ``` Built by Neural Arun — AI systems for healthcare & medical education 📩 neural.arun.dev@gmail.com 🔗 github.com/neural-arun 𝕏 x.com/Neural_Arun ``` --- *This is a living repository. Builds get code as concepts solidify.*