Create: main_window.py, inference.py, export_utils.py

feat: Implement dashboard store for metric management and display

feat: Enhance ChatWidget and introduce transport analysis agent

feat: add multi-filter functionality and UI enhancements for the transport monitoring dashboard

feat: Implement realtime transport server with WebSocket and HTTP API

feat: Добавить документы архитектуры и плана управления состоянием

feat: Add domain analysis and technical specifications documents

Add deployment guide and enhance README for Smart Parking Assistant

feat: Add Docker support with deployment guides and configuration for backend API

feat: Add deployment guide, environment variables, and backend setup for parking app

feat: Integrate Playwright for end-to-end testing and enhance ChatPanel functionality

feat: Integrate PWA support and enhance user experience

feat: Enhance ChatPanel and add AdminView for parking management

feat: Implement ParkingMap component with interactive canvas visualization

feat: Implement parking booking system with Pinia stores

feat: initialize Vue 3 booking app with Vite, Pinia, and Tailwind CSS

Add architecture and product requirements documents: Create ARCHITECTURE.md outlining system architecture with flow diagrams and data flow descriptions, and PRD.md detailing project overview, target audience, functional requirements, and user scenarios for the Smart Parking Assistant application.

Add resetChat function and update ChatWidget UI: Implement resetChat to clear conversation state and enhance user experience. Update button layout in ChatWidget.vue for improved accessibility and interaction, including a new button for starting a new chat. Modify message handling in sendMessage to ensure proper history management before sending to the backend.

Add floating chat widget component: Integrate ChatWidget.vue into App.vue for real-time chat functionality, enabling user interaction with a backend chat service. Implement state management and SSE handling for message streaming, enhancing user experience with a responsive chat interface.

Add initial backend setup for chat application: Create server.js for Express backend handling OpenAI API requests, add .env.example for environment variables, and include .gitignore to exclude sensitive files. Initialize package.json with necessary dependencies for development and production.