dolgolyov.alexei
ada7e82961
Backend: - Notification model + Alembic migration - Notification service: CRUD, mark read, unread count, pending scheduled - WebSocket manager singleton for real-time push - WebSocket endpoint /ws/notifications with JWT auth via query param - APScheduler integration: periodic notification sender (every 60s), daily proactive health review job (8 AM) - AI tool: schedule_notification (immediate or scheduled) - Health review worker: analyzes user memory via Claude, creates ai_generated notifications with WebSocket push Frontend: - Notification API client + Zustand store - WebSocket hook with auto-reconnect (exponential backoff) - Notification bell in header with unread count badge + dropdown - Notifications page with type badges, mark read, mark all read - WebSocket initialized in AppLayout for app-wide real-time updates - Enabled notifications nav in sidebar - English + Russian translations Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Personal AI Assistant
A client-server web application for managing personal health and life areas with AI-powered assistance. Upload documents, chat with AI specialists, receive proactive health reminders, and track critical information across multiple life domains.
Key Features
- AI Chat with Specialists — create chats using configurable skills (e.g., cardiologist, nutritionist). Each skill shapes the AI's behavior as a domain expert.
- Document Management — upload health records, lab results, prescriptions, and consultation notes. AI extracts and indexes content for intelligent retrieval.
- Proactive Notifications — AI analyzes your health profile and schedules reminders (checkups, medication reviews) via in-app, email, or Telegram.
- PDF Compilation — request AI-generated health summaries as downloadable PDF documents.
- Global Memory — AI maintains a shared memory of critical health information across all your chats.
- Multi-language — English and Russian support.
Tech Stack
| Layer | Technology |
|---|---|
| Backend | Python 3.12, FastAPI, SQLAlchemy 2.0, Alembic |
| Frontend | React 18, TypeScript, Vite, Shadcn/ui, Tailwind CSS |
| Database | PostgreSQL 16 |
| AI | Claude API (Anthropic) |
| Notifications | WebSocket, Email (SMTP), Telegram Bot |
| Deployment | Docker Compose |
Getting Started
Prerequisites: Docker and Docker Compose installed.
# Clone the repository
git clone https://git.dolgolyov-family.by/alexei.dolgolyov/personal-ai-assistant.git
cd personal-ai-assistant
# Copy environment config
cp .env.example .env
# Edit .env with your API keys and settings
# Start all services
docker compose up -d
# Create initial admin user
docker compose exec backend python scripts/seed_admin.py
The app will be available at http://localhost.
Project Structure
personal-ai-assistant/
├── backend/ # FastAPI application
├── frontend/ # React SPA
├── telegram-bot/ # Telegram notification bot
├── nginx/ # Reverse proxy config
├── plans/ # Phase subplans
├── docker-compose.yml
└── GeneralPlan.md # Full implementation plan
License
Private project. All rights reserved.